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Date: Thu, 5 Feb 2015 08:20:57 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Revised Aquery Parser and Grammar
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Dear Jose,

Overall, great work!

1. The ambiguities that you cite don't seem so terrible,
but maybe if you concretize them into examples,
the issues would be clearer.

2. In the grammar, you have

ASSUMING ORDER col

but I think we want

ASSUMING order col
where order can be ASC or DESC

3. Your table expression part is perhaps over-ambitious.
We need flatten and inner and outer join, 
but we don't need natural join or cross or join
(I'm trying to eliminate things that we'll have to optimize later
and that are already expressable)
as they can all be expressed just using from clauses.
If eliminating doesn't save you anything, then keep in.

4. I performed make. How do I run the examples?

5. Ok, now it's time for the optimization.
Read that part of Alberto's thesis and then read the paper
that I'm sending from my yahoo account. That paper has not yet been
published so please do not distribute, but it will be.

For us, optimization ideas include: ordering as few columns
as possible, ordering as late as possible, implementing order-preserving
join operators etc.

6. As you try things out, you will want to have a regression test
of data queries against which you continually measure.
I will send those by separate email.

Best,
Dennis



.

From josepablocam@gmail.com  Sun Feb 22 19:53:12 2015
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Subject: Aquery update
From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
To: Dennis Shasha <shasha@courant.nyu.edu>
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--001a1140a9c62d16bc050fb6d335
Content-Type: text/plain; charset=UTF-8

Professor,

I wanted to give you an update on some of the recent work for aquery. I
have a first version of an AST-building parser. The AST is a combination of
traditional AST, and for any query branches we instead display something
more akin to a relational algebra version of the query, which could be a
seen as the naive query plan.

I would like to take this current week to do the following:

1 - The AST isn't really 100% done for the query portions, I need to
incorporate the notions of order preservation from Alberto's thesis into
various nodes for use in later stages. I'd like to work on this during this
week.

2 - I'd like to add AST printing to the parser, leveraging graphviz's dot
program. I think this is a low-cost/high-reward feature for further down
the line, particularly for when we start working on optimizing the query
plans. Being able to visualize the tree I think will be very helpful for me.

3 - I would like to document the AST implemented in a few pdf pages, so
that we can all be on the same page. I also have to make some small changes
to the BNF grammar since I moved some things around to facilitate the AST
building.

4 - I also would like to clean up some of the AST code and make sure it is
well commented.

Best,

Jose


-- 
Jose Pablo Cambronero

--001a1140a9c62d16bc050fb6d335
Content-Type: text/html; charset=UTF-8
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<div dir=3D"ltr">Professor,<div><br></div><div>I wanted to give you an upda=
te on some of the recent work for aquery. I have a first version of an AST-=
building parser. The AST is a combination of traditional AST, and for any q=
uery branches we instead display something more akin to a relational algebr=
a version of the query, which could be a seen as the naive query plan.</div=
><div><br></div><div>I would like to take this current week to do the follo=
wing:</div><div><br></div><div>1 - The AST isn&#39;t really 100% done for t=
he query portions, I need to incorporate the notions of order preservation =
from Alberto&#39;s thesis into various nodes for use in later stages. I&#39=
;d like to work on this during this week.</div><div><br></div><div>2 - I&#3=
9;d like to add AST printing to the parser, leveraging graphviz&#39;s dot p=
rogram. I think this is a low-cost/high-reward feature for further down the=
 line, particularly for when we start working on optimizing the query plans=
. Being able to visualize the tree I think will be very helpful for me.</di=
v><div><br></div><div>3 - I would like to document the AST implemented in a=
 few pdf pages, so that we can all be on the same page. I also have to make=
 some small changes to the BNF grammar since I moved some things around to =
facilitate the AST building.</div><div><br></div><div>4 - I also would like=
 to clean up some of the AST code and make sure it is well commented.</div>=
<div><br></div><div>Best,</div><div><br></div><div>Jose</div><div><br clear=
=3D"all"><div><br></div>-- <br><div class=3D"gmail_signature">Jose Pablo Ca=
mbronero</div>
</div></div>

--001a1140a9c62d16bc050fb6d335--

From shasha@crunchy12.cims.nyu.edu  Mon Feb 23 13:06:40 2015
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Date: Mon, 23 Feb 2015 13:06:37 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201502231806.t1NI6b9Q008672@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Aquery update
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... Dear Jose,

... Suppose I have R(A,B,C,D,E,F,G) ordered say on F.
Then if the query assumes order on F and R is sorted on F, 
sure you should use it.
But what if R is unsorted and we have a query
select mavg(B,3) from R assuming ascending F
Then you need only to sort F and B. No other columns.


Professor,

I am a bit unclear on what you mean by "do sorting only on columns that
will be needed farther down in the query".  I was re-reading ch 4 on
optimizations from Alberto's thesis and saw that for sorting he checks
whether a sort A is already a prefix of the sort of a table T before
sorting. So if you already have the table sorted, or if there is a
predicate that makes the sort unnecessary, he eliminates the sort. Is that
what you mean? Perhaps if you could give me a specific example it would
make it clear to me what is meant.

Additionally, should I start working on code generation yet? Or would the
optimizations be reflected only in the AST/query-plans for now?

... I leave that up to you. Best, Dennis

Best,

Jose

On Mon, Feb 23, 2015 at 1:20 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> Dear Jose,
> I like all these ideas.
> Just as an experiment, either this week or next,
> please implement the most elementary optimization: do sorting
> only on columns that will be needed farther down in the query.
> I can't think of any situation when we'd want anything different.
> Usually, we'll want to push selects to below the sort,
> but maybe not absolutely always.
> Best,
> Dennis
>



-- 
Jose Pablo Cambronero

--001a11c1687a758739050fc4ecf5
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<div><br></div><div>I am a bit unclear on what y=
ou mean by &quot;do sorting only on columns that will be needed farther dow=
n in the query&quot;.=C2=A0 I was re-reading ch 4 on optimizations from Alb=
erto&#39;s thesis and saw that for sorting he checks whether a sort A is al=
ready a prefix of the sort of a table T before sorting. So if you already h=
ave the table sorted, or if there is a predicate that makes the sort unnece=
ssary, he eliminates the sort. Is that what you mean? Perhaps if you could =
give me a specific example it would make it clear to me what is meant.</div=
><div><br></div><div>Additionally, should I start working on code generatio=
n yet? Or would the optimizations be reflected only in the AST/query-plans =
for now?</div><div><br></div><div>Best,</div><div><br></div><div>Jose</div>=
</div><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Mon, Feb=
 23, 2015 at 1:20 AM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto=
:shasha@courant.nyu.edu" target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</=
span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8e=
x;border-left:1px #ccc solid;padding-left:1ex"><br>
Dear Jose,<br>
I like all these ideas.<br>
Just as an experiment, either this week or next,<br>
please implement the most elementary optimization: do sorting<br>
only on columns that will be needed farther down in the query.<br>
I can&#39;t think of any situation when we&#39;d want anything different.<b=
r>
Usually, we&#39;ll want to push selects to below the sort,<br>
but maybe not absolutely always.<br>
Best,<br>
Dennis<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature">Jose Pablo Cambronero</div>
</div>

--001a11c1687a758739050fc4ecf5--

From shasha@crunchy12.cims.nyu.edu  Sun Mar  1 17:35:37 2015
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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Update on Aquery and Some Questions
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... Dear Jose,

Professor,

I've gone through and cleaned up the aquery code written over the last week
or so relating to the AST. The attached sym_ast_print.pdf discusses some of
the recent work (symbol table, AST and AST printing).

I've begun working on the first optimization: sorting only columns that
need sorting.

I had a couple of comments/questions that I was hoping I could run by you,
to make sure I'm going in the right direction.

I must admit that I initially thought this task was going to be very
simple, but I eventually got a bit tangled in a logical pretzel. But I hope
to detangle this week...

... :)

For now, I'm treating sorting separately in the "where clause" vs sorting
in the "group-by", "having" and projection clauses. This arose after a
couple of observations (listed below). Let me know if you disagree with
these, or if I'm thinking about this the wrong way.

1 - We want to minimize any sorting prior to the initial selection.
2 - If anything is sorted prior to selection, we need to make sure to
"desort" prior to filtering out, as the order of the boolean vector has to
match up with the current order of the data in the table.
3 - Partially related to (2), if we sort and assign any columns, to avoid
recomputing the sorted column for each order-dependent use, we need to
desort those columns prior to filtering.
4 - Certain order-independent expressions can become order-dependent, if we
sort and assign to columns. For example:

max(c1 + c2) * first(c2)

if we sort and assign to c2 (ie c2:c2 sorting_index), we now also have to
sort c1, despite the fact that c1 + c2 in max doesn't depend on order, as
long as c1 and c2 have the same ordering. Given that we are in a where
clause, we want to avoid extra sorts like this.

... Yes, exactly. In fact, I think of the sort semantically
as happening as part of the from clause (what delivers the data
to the query processor). Typical optimizations are "delay sorting
until you've done  the selection", "sort before any order-dependent
operation", sometimes you might want to sort before a join
that has an order dependent condition (incidentally, we
might want to add asof joins).




My current strategy for where clauses is as follows:
Our AST nodes have information on whether they themselves are
order-dependent or order-independent, and whether any part of their subtree
is order-dependent. This information is collected bottom up, during tree
building. All nodes start out as order independent, and acquire order
dependence due to the application of an order dependent operator, like
first/last/avgs etc.

... great.

To apply the sorting optimization, we traverse the tree depth-first, and at
each node, we check the order-dependency information and carry that down to
the children. If we are currently traversing a part of the tree that is
labeled as order dependent, and we arrive at a node labeled order
independent, we know we have reached a part of the tree that needs to be
sorted so that the operator works correctly. We first check if the node is
sortable (e.g. we can sort a column, but not a single number), and if so,
we apply the sorting indices. We also make sure to check along the way for
any functions like max/min etc  that remove any order dependence. For
example sums(c3 + max(c2)), sums creates order dependence that c3 must obey
and c2 would have to as well, if not for that fact that max eliminates that.

The sorting indices referenced is computed during an additional step in the
query plan, prior to filtering, which simply has the side effect of
creating a sorting index and a "desorting" index based on a table and an
ordering specification. We need this latter index set if the top-most node
of a where clause is order dependent, since we need to "desort" to make
sure the resulting boolean vector matches the order of the data.


The attached ast_base.pdf and ast_optim.pdf show an example of this. Base
features no optimization, optim has this where clause optimization. We
apply on the following example:

SELECT c2 FROM t ASSUMING ASC c4 WHERE max(c1) = sums(c2 + c3)

accordingly, the sum of c2 and c3 is sorted (rather than each vector being
sorted...so as to minimize sortings), and we then desort after the
comparison to the max(c1), to have our boolean in the right order for
filtering.

... Seems too complicated to me. I would suggest sorting c2 and c3 based
on c4. Then performing the sums, comparing to the max and then selecting
c2 which is already in the right order.


For group-by/having and projection clauses, I'm not sure what the right
approach would be. I have a couple of observations though:
1 - The resulting expressions in a projection clause need to be sorted (and
are thus de-facto order-dependent), unless we apply operators like max/min.

... Why?  select A from t doesn't require sorting.
Nor does select sum(A) from t group by B though of course
select sums(A) from t assuming asc C group by B does require sorting,
but we can do the grouping first and then sort by C within each group.

2 - The approach of indexing columns with sorting indices gets complicated
by group-by clauses.

... please give an example.

3 - If any expression in a group-by/having or a projection is order
dependent (which can be quite often given (1)) then we end up having to
sort all columns, since we need groups and data to be aligned.
    for example:
         select sum(c2) from t assuming asc c3 //nothing sorted
         select sum(c2)  from t assuming asc c3 group by sums(c1 = 0)
//both c1 and c2 now need to be sorted

... and that's fine.

... and that's fine, but note
         select sum(c2)  from t assuming asc c3 where c4 = 5
	 group by sums(c1 = 0)
should first do the c4 = 5 before anything else.


4 - We probably want to sort and assign to columns (i.e. c2:c2
sorting_index) to avoid (2) and recomputing the sorting of columns.


So I think my approach for group-by/having and projection clauses would be:
1 - if there is a group-by/having clause
         if neither that clause nor the projection clause are order
dependent then we do nothing
         if either is order dependent, then we need to find all column
references, and sort/assign to them

... except see my selection example above.

2 - if there is no group-by/having clause
        if the projection clause is not order dependent, we do nothing
        if it is order dependent, then we need to find all columns in order
dependent expressions, and any other columns they interact with, and
sort/assign

Does this sound reasonable to you? Or am I getting to tangled up? I suspect
the latter.....


Apologies about the lengthy email. I just think I needed a bit more space
to explain my problems this time around. I want to make sure to get this
optimization down as soon as possible.

Best,

Jose

... I like lengthy emails. But please go over some of Alberto's examples
a bit more.

... Best, Dennis

From shasha@crunchy12.cims.nyu.edu  Mon Mar  2 02:22:22 2015
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From: Dennis Shasha <shasha@courant.nyu.edu>
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&&& Dear Jose,

>
>
> The attached ast_base.pdf and ast_optim.pdf show an example of this. Base
> features no optimization, optim has this where clause optimization. We
> apply on the following example:
>
> SELECT c2 FROM t ASSUMING ASC c4 WHERE max(c1) = sums(c2 + c3)
>
> accordingly, the sum of c2 and c3 is sorted (rather than each vector being
> sorted...so as to minimize sortings), and we then desort after the
> comparison to the max(c1), to have our boolean in the right order for
> filtering.
>
> ... Seems too complicated to me. I would suggest sorting c2 and c3 based
> on c4. Then performing the sums, comparing to the max and then selecting
> c2 which is already in the right order.
>
> *If for example, the projection included another column, c5, so this
became SELECT c2, c5 FROM t ASSUMING ....*
*Would we sort c2 and c3 (due to selection conditions), and c5 based on c4
(because we want our c5 values aligned to the boolean vector), then perform
the sums, compare to max, and then select c2 and c5, which are already in
the right order?*

*I guess my question is: if we sort in the selection predicate, do we have
to sort **prior to the selection **all other columns referenced in other
clauses?*

&&& It's a good point. I would think that in most cases the answer would
be yes. The main exception would be that we'd want to do the sort
after performing the order-independent where clauses c7 = 4.
Basically, we do order-independent where clauses first, then 
order dependent where clauses if any then order dependent projection clauses.
Once we establish order, we do it for everything that remains (not c7
in the above case but c2, c3, and c5). Joins are more controversial
-- do we do that before or after establishing order. Usually after,
but that could depend on the order-dependent aggregate. For example
a first aggregate might argue for ordering first (or at least ordering
the first few).



>
> For group-by/having and projection clauses, I'm not sure what the right
> approach would be. I have a couple of observations though:
> 1 - The resulting expressions in a projection clause need to be sorted (and
> are thus de-facto order-dependent), unless we apply operators like max/min.
>
> ... Why?  select A from t doesn't require sorting.
> Nor does select sum(A) from t group by B though of course
> select sums(A) from t assuming asc C group by B does require sorting,
> but we can do the grouping first and then sort by C within each group.
> *Sorry, I wasn't clear on this. These set of observations only apply to
> queries that have an order clause.*



>





> 2 - The approach of indexing columns with sorting indices gets complicated
> by group-by clauses.
>
> ... please give an example.
>
*I think I was just flat out wrong with this. Sorry. Your response to (1)
clarified that we would want to sort within each group.*



>
> 3 - If any expression in a group-by/having or a projection is order
> dependent (which can be quite often given (1)) then we end up having to
> sort all columns, since we need groups and data to be aligned.
>     for example:
>          select sum(c2) from t assuming asc c3 //nothing sorted
>          select sum(c2)  from t assuming asc c3 group by sums(c1 = 0)
> //both c1 and c2 now need to be sorted
>
> ... and that's fine.


*So an order-dependent group-by means we need to sort prior to grouping,
rather than being able to sort within each group.*

&&& Correct.

>
> ... and that's fine, but note
>          select sum(c2)  from t assuming asc c3 where c4 = 5
>          group by sums(c1 = 0)
> should first do the c4 = 5 before anything else.
> *Right, yeah. The situation where the selection predicate is not
> order-dependent is simple enough.*




> 4 - We probably want to sort and assign to columns (i.e. c2:c2
> sorting_index) to avoid (2) and recomputing the sorting of columns.
>
>
> So I think my approach for group-by/having and projection clauses would be:
> 1 - if there is a group-by/having clause
>          if neither that clause nor the projection clause are order
> dependent then we do nothing
>          if either is order dependent, then we need to find all column
> references, and sort/assign to them
>
> ... except see my selection example above.
>
> 2 - if there is no group-by/having clause
>         if the projection clause is not order dependent, we do nothing
>         if it is order dependent, then we need to find all columns in order
> dependent expressions, and any other columns they interact with, and
> sort/assign
>
> Does this sound reasonable to you? Or am I getting to tangled up? I suspect
> the latter.....
>
>
> Apologies about the lengthy email. I just think I needed a bit more space
> to explain my problems this time around. I want to make sure to get this
> optimization down as soon as possible.
>
> Best,
>
> Jose
>
> ... I like lengthy emails. But please go over some of Alberto's examples
> a bit more.
>
> *Will do. I've been going through them, but clearly not diligently enough.
I'll redouble efforts this week.*

&&& That's fine. You are doing a complete sublanguage. Nobody has done
that before. Best, Dennis


> ... Best, Dennis
>
>


-- 
Jose Pablo Cambronero

--001a113a96e2cdc0240510430fc0
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor, thank you so much for the response. I&#39;ve ad=
ded some responses/questions in line in the text below. My comments/questio=
ns are in bold.<div class=3D"gmail_extra"><br><div class=3D"gmail_quote"><b=
r><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;borde=
r-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid=
;padding-left:1ex"><br>
... Dear Jose,<br>
<span class=3D""><br>
Professor,<br>
<br>
I&#39;ve gone through and cleaned up the aquery code written over the last =
week<br>
or so relating to the AST. The attached sym_ast_print.pdf discusses some of=
<br>
the recent work (symbol table, AST and AST printing).<br>
<br>
I&#39;ve begun working on the first optimization: sorting only columns that=
<br>
need sorting.<br>
<br>
I had a couple of comments/questions that I was hoping I could run by you,<=
br>
to make sure I&#39;m going in the right direction.<br>
<br>
I must admit that I initially thought this task was going to be very<br>
simple, but I eventually got a bit tangled in a logical pretzel. But I hope=
<br>
to detangle this week...<br>
<br>
</span>... :)<br>
<span class=3D""><br>
For now, I&#39;m treating sorting separately in the &quot;where clause&quot=
; vs sorting<br>
in the &quot;group-by&quot;, &quot;having&quot; and projection clauses. Thi=
s arose after a<br>
couple of observations (listed below). Let me know if you disagree with<br>
these, or if I&#39;m thinking about this the wrong way.<br>
<br>
1 - We want to minimize any sorting prior to the initial selection.<br>
2 - If anything is sorted prior to selection, we need to make sure to<br>
&quot;desort&quot; prior to filtering out, as the order of the boolean vect=
or has to<br>
match up with the current order of the data in the table.<br>
3 - Partially related to (2), if we sort and assign any columns, to avoid<b=
r>
recomputing the sorted column for each order-dependent use, we need to<br>
desort those columns prior to filtering.<br>
4 - Certain order-independent expressions can become order-dependent, if we=
<br>
sort and assign to columns. For example:<br>
<br>
max(c1 + c2) * first(c2)<br>
<br>
if we sort and assign to c2 (ie c2:c2 sorting_index), we now also have to<b=
r>
sort c1, despite the fact that c1 + c2 in max doesn&#39;t depend on order, =
as<br>
long as c1 and c2 have the same ordering. Given that we are in a where<br>
clause, we want to avoid extra sorts like this.<br>
<br>
</span>... Yes, exactly. In fact, I think of the sort semantically<br>
as happening as part of the from clause (what delivers the data<br>
to the query processor). Typical optimizations are &quot;delay sorting<br>
until you&#39;ve done=C2=A0 the selection&quot;, &quot;sort before any orde=
r-dependent<br>
operation&quot;, sometimes you might want to sort before a join<br>
that has an order dependent condition (incidentally, we<br>
might want to add asof joins).<br>
<span class=3D""><br>
<b>Thank you professor. I think this makes it clearer. I&#39;ll also be goi=
ng through Alberto&#39;s examples more diligently. It seems some of it was =
lost on me.</b></span></blockquote><blockquote class=3D"gmail_quote" style=
=3D"margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(20=
4,204,204);border-left-style:solid;padding-left:1ex"><span class=3D""><br>
<br>
<br>
My current strategy for where clauses is as follows:<br>
Our AST nodes have information on whether they themselves are<br>
order-dependent or order-independent, and whether any part of their subtree=
<br>
is order-dependent. This information is collected bottom up, during tree<br=
>
building. All nodes start out as order independent, and acquire order<br>
dependence due to the application of an order dependent operator, like<br>
first/last/avgs etc.<br>
<br>
</span>... great.<br>
<div><div class=3D"h5"><br>
To apply the sorting optimization, we traverse the tree depth-first, and at=
<br>
each node, we check the order-dependency information and carry that down to=
<br>
the children. If we are currently traversing a part of the tree that is<br>
labeled as order dependent, and we arrive at a node labeled order<br>
independent, we know we have reached a part of the tree that needs to be<br=
>
sorted so that the operator works correctly. We first check if the node is<=
br>
sortable (e.g. we can sort a column, but not a single number), and if so,<b=
r>
we apply the sorting indices. We also make sure to check along the way for<=
br>
any functions like max/min etc=C2=A0 that remove any order dependence. For<=
br>
example sums(c3 + max(c2)), sums creates order dependence that c3 must obey=
<br>
and c2 would have to as well, if not for that fact that max eliminates that=
.<br>
<br>
The sorting indices referenced is computed during an additional step in the=
<br>
query plan, prior to filtering, which simply has the side effect of<br>
creating a sorting index and a &quot;desorting&quot; index based on a table=
 and an<br>
ordering specification. We need this latter index set if the top-most node<=
br>
of a where clause is order dependent, since we need to &quot;desort&quot; t=
o make<br>
sure the resulting boolean vector matches the order of the data.<br>
<br>
<br>
The attached ast_base.pdf and ast_optim.pdf show an example of this. Base<b=
r>
features no optimization, optim has this where clause optimization. We<br>
apply on the following example:<br>
<br>
SELECT c2 FROM t ASSUMING ASC c4 WHERE max(c1) =3D sums(c2 + c3)<br>
<br>
accordingly, the sum of c2 and c3 is sorted (rather than each vector being<=
br>
sorted...so as to minimize sortings), and we then desort after the<br>
comparison to the max(c1), to have our boolean in the right order for<br>
filtering.<br>
<br>
</div></div>... Seems too complicated to me. I would suggest sorting c2 and=
 c3 based<br>
on c4. Then performing the sums, comparing to the max and then selecting<br=
>
c2 which is already in the right order.<br>
<span class=3D""><br></span></blockquote><div><b>If for example, the projec=
tion included another column, c5, so this became SELECT c2, c5 FROM t ASSUM=
ING ....</b></div><div><b>Would we sort c2 and c3 (due to selection conditi=
ons), and c5 based on c4 (because we want our c5 values aligned to the bool=
ean vector), then perform the sums, compare to max, and then select c2 and =
c5, which are already in the right order?</b></div><div><b><br></b></div><d=
iv><b>I guess my question is: if we sort in the selection predicate, do we =
have to sort=C2=A0</b><b>prior to the selection=C2=A0</b><b>all other colum=
ns referenced in other clauses?</b></div><div><br></div><div><br></div><div=
>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px =
0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-=
style:solid;padding-left:1ex"><span class=3D"">
<br>
For group-by/having and projection clauses, I&#39;m not sure what the right=
<br>
approach would be. I have a couple of observations though:<br>
1 - The resulting expressions in a projection clause need to be sorted (and=
<br>
are thus de-facto order-dependent), unless we apply operators like max/min.=
<br>
<br>
</span>... Why?=C2=A0 select A from t doesn&#39;t require sorting.<br>
Nor does select sum(A) from t group by B though of course<br>
select sums(A) from t assuming asc C group by B does require sorting,<br>
but we can do the grouping first and then sort by C within each group.<br>
<span class=3D""><b>Sorry, I wasn&#39;t clear on this. These set of observa=
tions only apply to queries that have an order clause.</b></span></blockquo=
te><div>=C2=A0 =C2=A0=C2=A0</div><blockquote class=3D"gmail_quote" style=3D=
"margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,2=
04,204);border-left-style:solid;padding-left:1ex">=C2=A0</blockquote><div>=
=C2=A0<br></div><div><br></div><div>=C2=A0</div><blockquote class=3D"gmail_=
quote" style=3D"margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-=
color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><span clas=
s=3D"">
2 - The approach of indexing columns with sorting indices gets complicated<=
br>
by group-by clauses.<br>
<br>
</span>... please give an example.<br></blockquote><div><b>I think I was ju=
st flat out wrong with this. Sorry. Your response to (1) clarified that we =
would want to sort within each group.</b></div><div><b><br></b></div><div>=
=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0=
.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-s=
tyle:solid;padding-left:1ex">
<span class=3D""><br>
3 - If any expression in a group-by/having or a projection is order<br>
dependent (which can be quite often given (1)) then we end up having to<br>
sort all columns, since we need groups and data to be aligned.<br>
=C2=A0 =C2=A0 for example:<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0select sum(c2) from t assuming asc c3 //n=
othing sorted<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0select sum(c2)=C2=A0 from t assuming asc =
c3 group by sums(c1 =3D 0)<br>
//both c1 and c2 now need to be sorted<br>
<br>
</span>... and that&#39;s fine.</blockquote><div><br></div><div><b>So an or=
der-dependent group-by means we need to sort prior to grouping, rather than=
 being able to sort within each group.</b></div><blockquote class=3D"gmail_=
quote" style=3D"margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-=
color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
<br>
... and that&#39;s fine, but note<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0select sum(c2)=C2=A0 from t assuming asc =
c3 where c4 =3D 5<br>
<span class=3D"">=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0group by sums(c1 =3D 0)<=
br>
</span>should first do the c4 =3D 5 before anything else.<br><span class=3D=
""><b>Right, yeah. The situation where the selection predicate is not order=
-dependent is simple enough.</b></span></blockquote><div><br></div><div>=C2=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8e=
x;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-styl=
e:solid;padding-left:1ex"><span class=3D"">
4 - We probably want to sort and assign to columns (i.e. c2:c2<br>
sorting_index) to avoid (2) and recomputing the sorting of columns.<br>
<br>
<br>
So I think my approach for group-by/having and projection clauses would be:=
<br>
1 - if there is a group-by/having clause<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0if neither that clause nor the projection=
 clause are order<br>
dependent then we do nothing<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0if either is order dependent, then we nee=
d to find all column<br>
references, and sort/assign to them<br>
<br>
</span>... except see my selection example above.<br>
<span class=3D""><br>
2 - if there is no group-by/having clause<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 if the projection clause is not order dependent=
, we do nothing<br>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 if it is order dependent, then we need to find =
all columns in order<br>
dependent expressions, and any other columns they interact with, and<br>
sort/assign<br>
<br>
Does this sound reasonable to you? Or am I getting to tangled up? I suspect=
<br>
the latter.....<br>
<br>
<br>
Apologies about the lengthy email. I just think I needed a bit more space<b=
r>
to explain my problems this time around. I want to make sure to get this<br=
>
optimization down as soon as possible.<br>
<br>
Best,<br>
<br>
Jose<br>
<br>
</span>... I like lengthy emails. But please go over some of Alberto&#39;s =
examples<br>
a bit more.<br>
<br></blockquote><div><b>Will do. I&#39;ve been going through them, but cle=
arly not diligently enough. I&#39;ll redouble efforts this week.</b></div><=
div>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0=
px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-le=
ft-style:solid;padding-left:1ex">
... Best, Dennis<br>
<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature">Jose Pablo Cambronero</div>
</div></div>

--001a113a96e2cdc0240510430fc0--

From shasha@crunchy12.cims.nyu.edu  Tue Mar 10 02:55:08 2015
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Date: Tue, 10 Mar 2015 02:55:05 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201503100655.t2A6t5kD021370@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Update on initial sorting optimization
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... Dear Jose,

Professor,

I have made some advances on this problem. The can AST now be modified
based on our previous conversations:

1 - If there is any pre-existing order to a table (e.g. in intermediate
tables), we only sort the incremental sorting needed

... Good. Always true.

2 - If where clause has any order-dependent filters, we first apply order
independent filters (if any), then we sort any column references in the
projection and group-by clauses.

... This will mostly be true, but the whole point of cost-based optimization
is that we try several plans and use the one with the best
estimate.

3 - If group-by is order-independent, then we group and sort-each the
relevant columns
4 - If group-by is order dependent, then we sort all columns referenced in
the group-by and projection clauses
5 - If there is no group-by, the projection clause only sorts relevant
columns (i.e. those order dependent, or those that become order-dependent
by interacting with those that are)
6 - Any ordering information is annotated in the symbol table as relevant

... These last four points make sense because these will eventually
have to be sorted.

I made a slight change to the grammar to facilitate (2). Namely, the search
condition in a where clause has been changed to an AND-list of search
conditions. This allows easily partitioning the conditions into
order-dependent and order-independent.

I still have to implement these optimizations for more involved from
clauses, which I'll work on this week. Additionally, another simple change
that needs to be made is that we don't sort-each a column that is already a
key in our group-by.

... Please include joins. Also eventually, please consider the queries in
these benchmarks:
[2] OpenTSDB, http://opentsdb.net/
[3] InfluxDB, http://influxdb.com/
[4] TempolIQ, https://www.tempoiq.com/
[5] Druid, http://druid.io/



Attached are 3 pdfs. The 2 query*.pdf files show the AST resulting from
optimizing the 2 queries (labeled accordingly). And the third file
(examples_annotated_restricted.pdf) is a large AST of the entire program in
examples_annotated_restricted.a (a version of the file we shared last week,
except for joins). This last one is a bit annoying to read, as it requires
zooming in a lot in pdf, but just wanted to include for completeness.

Best,

Jose

-- 
Jose Pablo Cambronero

... Nice work. Best, Dennis

From shasha@crunchy12.cims.nyu.edu  Tue Mar 10 15:53:35 2015
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Date: Tue, 10 Mar 2015 15:53:32 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Update on initial sorting optimization
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''' Dear Jose,

Professor,

 some responses below in bold.

On Tue, Mar 10, 2015 at 2:55 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

> ... Dear Jose,
>
> Professor,
>
> I have made some advances on this problem. The can AST now be modified
> based on our previous conversations:
>
> 1 - If there is any pre-existing order to a table (e.g. in intermediate
> tables), we only sort the incremental sorting needed
>
> ... Good. Always true.
>
> 2 - If where clause has any order-dependent filters, we first apply order
> independent filters (if any), then we sort any column references in the
> projection and group-by clauses.
>
> ... This will mostly be true, but the whole point of cost-based
> optimization
> is that we try several plans and use the one with the best
> estimate.
>

*I thought this would always be true, since we need the data that will be
used to be aligned with the boolean-vector resulting from the
order-dependent filtering (which was sorted, so the data needs to be
sorted). Am I misunderstanding this step?*

''' I guess it has to do with joins.
If I have R.a = S.b and some clause that orders on R and some on S,
we may still want to do the join on R and S first and then the ordering
or not. An example where not would be where the sort is on a.


*The cost-estimation I wasn't quite clear on from the thesis: how do we
estimate the cost of the various plans?*

''' Usually this is done by simulation using cardinalities and
histograms. Maybe for now, we'll just have a heuristic optimizer (rules
of thumb like what you have) and then try to extend.

*The current query plan, which is part of the AST, is all a series of
structs and pointers to structs. I need to add a way to create deep copies
of the original naive query plan (needs to chase pointers to expression
structs etc), so that we can then use the various copies and manipulate
separately/differently to generate alternate query plans. **Currently, I
was just modifying the original naive plan.*

*Or is there a better approach?*

''' I like this approach.


>
> 3 - If group-by is order-independent, then we group and sort-each the
> relevant columns
> 4 - If group-by is order dependent, then we sort all columns referenced in
> the group-by and projection clauses
> 5 - If there is no group-by, the projection clause only sorts relevant
> columns (i.e. those order dependent, or those that become order-dependent
> by interacting with those that are)
> 6 - Any ordering information is annotated in the symbol table as relevant
>
> ... These last four points make sense because these will eventually
> have to be sorted.
>
> I made a slight change to the grammar to facilitate (2). Namely, the search
> condition in a where clause has been changed to an AND-list of search
> conditions. This allows easily partitioning the conditions into
> order-dependent and order-independent.
>
> I still have to implement these optimizations for more involved from
> clauses, which I'll work on this week. Additionally, another simple change
> that needs to be made is that we don't sort-each a column that is already a
> key in our group-by.
>
> ... Please include joins. Also eventually, please consider the queries in
> these benchmarks:
> [2] OpenTSDB, http://opentsdb.net/
> [3] InfluxDB, http://influxdb.com/
> [4] TempolIQ, https://www.tempoiq.com/
> [5] Druid, http://druid.io/
>
>
> *I will work on including joins this week. I have been considering them
when thinking about the steps, but I wanted to get a simple version working
first, to iron out the simpler issues.*

*I will look at queries used in these.*

*I'll be taking my work with me on spring break, so I hope to continue
working on this over the following week.*

*Thank you again for taking the time to read this.*

*Best,*

*Jose*

''' I'm very pleased with how this is going. We are going to produce
something that is very useful and quite likely publishable (if we
win at the benchmarks). Best, Dennis

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Subject: Re: please work out a few other examples
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### Dear Jose,

Professor, thank you again. These emails are very helpful. My responses
below


On Thu, Mar 12, 2015 at 5:37 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

> &&& Dear Jose,
>
> Thank you Professor. Some comments below:
>
> On Thu, Mar 12, 2015 at 1:24 PM, Dennis Shasha <shasha@courant.nyu.edu>
> wrote:
>
> > ''' Dear Jose,
> >
> > Thank you for the response.  A couple of follow ups below
> >
> >
> > On Thu, Mar 12, 2015 at 11:41 AM, Dennis Shasha <shasha@courant.nyu.edu>
> > wrote:
> >
> > > ... Dear Jose,
> > >
> > > Professor,
> > >
> > > I was going through these again as I think about implementing these,
> and
> > > had a couple of questions I was hoping I could bother you with. I've
> > noted
> > > them below in bold.
> > >
> > > On Wed, Mar 4, 2015 at 10:54 AM, Dennis Shasha <shasha@courant.nyu.edu
> >
> > > wrote:
> > >
> > > >
> > > > Dear Jose,
> > > >
> > > > Could you try a few more examples
> > > >
> > > > e.g.
> > > >
> > > > select max(first 10 R.c) from R,S where R.a = S.b
> > > >
> > > > Only R.c should be ordered.
> > > >
> > > > select max(S.c) from R assuming asc e,S where R.a = S.b
> > > > and sums(d) <= 1000
> > > >
> > > > I would say R should be sorted on e, the selection performed, then
> > > > the join with unordered S and then the max. S is never ordered.
> > > >
> > >
> > > *How do we know that d is a column in R to be able to perform the
> > selection
> > > prior to the join? Similarly with e and being able to sort R on it.*
> > >
> > > ... Sorry. You're right. Should have been R.d but for e, because
> > > of the assuming clause.
> >
> >
> > *I see. This last bit on the assuming clause was the part that confused
> me
> > a bit last time. I thought the assuming clause could only come after the
> > from clause, so that you specified the order jointly for the result of
> the
> > cross product, not for separate tables.*
> >
> > ''' I thought it might be easier conceptually for the user
> > to specify per table, but I leave it up to you.
> >
> > *I had defaulted to thinking the user would specify the order on the
> result of the where_clause. Mainly because according to Alberto's thesis,
> semantically, the sort occurs after the cross products etc in the from
> clause, so it seemed to me that keeping syntax in line with that was best.
> It also seemed to me that if a user specifies order per-table, then they
> end up having to think about how the operators in the from_clause work in
> terms of order.*
>
> &&& Could you give me an example to see how our approaches differ.
> All I'm saying is that the user says how the order is specified per table
> and the semantics specify an order-preserving cross-product.
>
> *I guess the type of situation I was thinking that throws this off a bit
in my mind is something like:*
*select ... from A, B assuming asc A.a, desc B.c, **asc A.b** where ...*

*it seems less clear to me how to express that  using the other syntax*

*select .. from A assuming asc A.a, asc A.b, B assuming desc B.c where ...
(not the same sort)*

### Nice example. Ok, let's do it your way.
In your documentation please explain the semantics as 
cross-product, then sorting of cross-product then selections and aggregates
on the cross-product.


Best, Dennis

P.S. Here is where I am.

http://cs.nyu.edu/cs/faculty/shasha/papers/dennispunta_march12_2015.mov

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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Back to work: foreign key joins
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... Dear Jose,

Professor,

I apologize about the lack of communication over the last week. I had
less opportunity to work on break than I had anticipated, so
unfortunately I didn't have much to share (driving was more intensive
than I thought and ended up catching a stomach bug for the latter part
of the trip). I am buckling down again now and hope to have some
shareable progress this week.

Last time we spoke, we clarified what the semantics for cross product
would be: cross, sort, selections, and then aggregates.

However, I had a couple of questions/observations for the optimizations:

1 - It seems to me that for filters in the where clause, beyond just
determining whether they are order-dependent (OD) or -independent
(OI), for joins, we would also benefit from knowing what tables are
used in each clause. I say this, because then we could apply OI
filters that only depend on a subset of a join to that subset, prior
to further joins.

... Absolutely.

for example

select ... from A, B assuming ... where A.a = 2 and B.b = 3 and A.c = B.c

we might want to

filter A on A.a = 2
filter B on B.b =3
cross A and B (both with reduced cardinality now)
filter based on foreign key relation A.c=B.c

Is this something we would want to do?

... Sure.

2 - In Alberto's thesis, he mentions pushing a sort down over a join
(Table 4.1), and references its use in other literature [34]. Since we
only sort the columns needed, what are the advantages of pushing a
sort like this? Perhaps I'm missing something obvious.

... He means sorting just the needed columns.
He says sometimes one wants to sort before join and sometimes join before sort.
Please time out a few examples to see which is better.

3 - Partially relating to (2), it seems to me that a possible rule of
thumb could be that all tables referenced in the order-clause, and any
tables referenced in OD filters, have to be crossed prior to any
sorting of columns taking place.

... What if this would cause a cross-product, e.g.
select .. from R assuming ..., S, T assuming ...
where R.a = S.b and S.c = T.d
We wouldn't want to cross R and T.

Best,

Jose

PS. UDFs now use the body elements' order-dependency information to
determine if they are order-dependent themselves. So now UDFs used in
a query trigger the same optimization steps as do built-ins.

... Nice. Best, Dennis


-- 
Jose Pablo Cambronero

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Date: Mon, 23 Mar 2015 01:20:37 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Back to work: foreign key joins
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Cross-products would kill the performance of a database system.
For example if we have a books table that has a foreign key to
a firstauthor table, then cross-product would require

|books| * |firstauthor| time, but q does it in |books| time
because it embeds the indexes to the firstauthor table right into books.

Please try a bunch of examples with and without recognized foreign
keys and you will see.

Best,
Dennis
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Subject: Re: Back to work: foreign key joins
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To: Dennis Shasha <shasha@courant.nyu.edu>
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--001a1136fdce1cb8260511ebb6cd
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Professor,

thank you for your response. A couple of comments/questions below

On Sun, Mar 22, 2015 at 8:31 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:
> ... Dear Jose,
>
> Professor,
>
> I apologize about the lack of communication over the last week. I had
> less opportunity to work on break than I had anticipated, so
> unfortunately I didn't have much to share (driving was more intensive
> than I thought and ended up catching a stomach bug for the latter part
> of the trip). I am buckling down again now and hope to have some
> shareable progress this week.
>
> Last time we spoke, we clarified what the semantics for cross product
> would be: cross, sort, selections, and then aggregates.
>
> However, I had a couple of questions/observations for the optimizations:
>
> 1 - It seems to me that for filters in the where clause, beyond just
> determining whether they are order-dependent (OD) or -independent
> (OI), for joins, we would also benefit from knowing what tables are
> used in each clause. I say this, because then we could apply OI
> filters that only depend on a subset of a join to that subset, prior
> to further joins.
>
> ... Absolutely.
>
> for example
>
> select ... from A, B assuming ... where A.a = 2 and B.b = 3 and A.c = B.c
>
> we might want to
>
> filter A on A.a = 2
> filter B on B.b =3
> cross A and B (both with reduced cardinality now)
> filter based on foreign key relation A.c=B.c
>
> Is this something we would want to do?
>
> ... Sure.
>
> 2 - In Alberto's thesis, he mentions pushing a sort down over a join
> (Table 4.1), and references its use in other literature [34]. Since we
> only sort the columns needed, what are the advantages of pushing a
> sort like this? Perhaps I'm missing something obvious.
>
> ... He means sorting just the needed columns.
> He says sometimes one wants to sort before join and sometimes join before
sort.
> Please time out a few examples to see which is better.

*I'll try various examples in q tomorrow and share the results.*

>
> 3 - Partially relating to (2), it seems to me that a possible rule of
> thumb could be that all tables referenced in the order-clause, and any
> tables referenced in OD filters, have to be crossed prior to any
> sorting of columns taking place.
>
> ... What if this would cause a cross-product, e.g.
> select .. from R assuming ..., S, T assuming ...
> where R.a = S.b and S.c = T.d
> We wouldn't want to cross R and T.

*Mm. I think this might be due to my own misunderstanding of a foreign key
join, but I was under the impression that the way it worked was a
cross-product executed and then the filtering on the keys took place, so
that the cross was actually necessary. *

*In the above, what I would have done is:*

*cross R with S*
*filter on R.a = S.b*
*cross with T*
*filter on S.c = T.d*

*What should the approach be? *


>
> Best,
>
> Jose
>
> PS. UDFs now use the body elements' order-dependency information to
> determine if they are order-dependent themselves. So now UDFs used in
> a query trigger the same optimization steps as do built-ins.
>
> ... Nice. Best, Dennis
>
>
> --
> Jose Pablo Cambronero
>



-- 
Jose Pablo Cambronero

--001a1136fdce1cb8260511ebb6cd
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<br><br>thank you for your response. A couple of=
 comments/questions below<br><br>On Sun, Mar 22, 2015 at 8:31 PM, Dennis Sh=
asha &lt;<a href=3D"mailto:shasha@courant.nyu.edu">shasha@courant.nyu.edu</=
a>&gt; wrote:<br>&gt; ... Dear Jose,<br>&gt;<br>&gt; Professor,<br>&gt;<br>=
&gt; I apologize about the lack of communication over the last week. I had<=
br>&gt; less opportunity to work on break than I had anticipated, so<br>&gt=
; unfortunately I didn&#39;t have much to share (driving was more intensive=
<br>&gt; than I thought and ended up catching a stomach bug for the latter =
part<br>&gt; of the trip). I am buckling down again now and hope to have so=
me<br>&gt; shareable progress this week.<br>&gt;<br>&gt; Last time we spoke=
, we clarified what the semantics for cross product<br>&gt; would be: cross=
, sort, selections, and then aggregates.<br>&gt;<br>&gt; However, I had a c=
ouple of questions/observations for the optimizations:<br>&gt;<br>&gt; 1 - =
It seems to me that for filters in the where clause, beyond just<br>&gt; de=
termining whether they are order-dependent (OD) or -independent<br>&gt; (OI=
), for joins, we would also benefit from knowing what tables are<br>&gt; us=
ed in each clause. I say this, because then we could apply OI<br>&gt; filte=
rs that only depend on a subset of a join to that subset, prior<br>&gt; to =
further joins.<br>&gt;<br>&gt; ... Absolutely.<br>&gt;<br>&gt; for example<=
br>&gt;<br>&gt; select ... from A, B assuming ... where A.a =3D 2 and B.b =
=3D 3 and A.c =3D B.c<br>&gt;<br>&gt; we might want to<br>&gt;<br>&gt; filt=
er A on A.a =3D 2<br>&gt; filter B on B.b =3D3<br>&gt; cross A and B (both =
with reduced cardinality now)<br>&gt; filter based on foreign key relation =
A.c=3DB.c<br>&gt;<br>&gt; Is this something we would want to do?<br>&gt;<br=
>&gt; ... Sure.<br>&gt;<br>&gt; 2 - In Alberto&#39;s thesis, he mentions pu=
shing a sort down over a join<br>&gt; (Table 4.1), and references its use i=
n other literature [34]. Since we<br>&gt; only sort the columns needed, wha=
t are the advantages of pushing a<br>&gt; sort like this? Perhaps I&#39;m m=
issing something obvious.<br>&gt;<br>&gt; ... He means sorting just the nee=
ded columns.<br>&gt; He says sometimes one wants to sort before join and so=
metimes join before sort.<br>&gt; Please time out a few examples to see whi=
ch is better.<div><br></div><div><b>I&#39;ll try various examples in q tomo=
rrow and share the results.</b></div><div><b><br></b>&gt;<br>&gt; 3 - Parti=
ally relating to (2), it seems to me that a possible rule of<br>&gt; thumb =
could be that all tables referenced in the order-clause, and any<br>&gt; ta=
bles referenced in OD filters, have to be crossed prior to any<br>&gt; sort=
ing of columns taking place.<br>&gt;<br>&gt; ... What if this would cause a=
 cross-product, e.g.<br>&gt; select .. from R assuming ..., S, T assuming .=
..<br>&gt; where R.a =3D S.b and S.c =3D T.d<br>&gt; We wouldn&#39;t want t=
o cross R and T.<br><br></div><div><b>Mm. I think this might be due to my o=
wn misunderstanding of a foreign key join, but I was under the impression t=
hat the way it worked was a cross-product executed and then the filtering o=
n the keys took place, so that the cross was actually necessary.=C2=A0</b><=
/div><div><b><br></b></div><div><b>In the above, what I would have done is:=
</b></div><div><b><br></b></div><div><b>cross R with S</b></div><div><b>fil=
ter on R.a =3D S.b</b></div><div><b>cross with T</b></div><div><b>filter on=
 S.c =3D T.d</b></div><div><b><br></b></div><div><b>What should the approac=
h be?=C2=A0</b></div><div><b><br></b></div><div><br></div><div>&gt;<br>&gt;=
 Best,<br>&gt;<br>&gt; Jose<br>&gt;<br>&gt; PS. UDFs now use the body eleme=
nts&#39; order-dependency information to<br>&gt; determine if they are orde=
r-dependent themselves. So now UDFs used in<br>&gt; a query trigger the sam=
e optimization steps as do built-ins.<br>&gt;<br>&gt; ... Nice. Best, Denni=
s<br>&gt;<br>&gt;<br>&gt; --<br>&gt; Jose Pablo Cambronero<br>&gt;<br><br><=
br><br>-- <br>Jose Pablo Cambronero<br></div></div>

--001a1136fdce1cb8260511ebb6cd--

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Date: Mon, 30 Mar 2015 02:07:58 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: commuting sorting and grouping
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,,, Dear Jose,

Professor, some comments/answers below

On Sun, Mar 29, 2015 at 8:09 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> ... Jose,
>
> ... Egads. In SQL and therefore in aquery, the order of the elements
> of the where clause makes no semantic difference.
> So "first use" should NOT be a left-to-right order.
> Instead, we push non-aggregate selects down and then (semantically
> at least) perform the join i.e.
> 1 - filter stock on stock.id in ...
> 2 - we would join using trade.stockid=stock.id
> 3 - we would then sort necessary columns
> 4 - filter on sums(vol) >=100
> 5 - group




Ok, so I'll just be very clear in the documentation that the filtering done
in the where clause is not based on order of filters, but rather on
properties of the filters (i.e. whether they are order-independent vs
order-dependent, or whether they have aggregates or not).
In general it seems then that we apply order-independent selections with no
aggregates, join as needed, order-independent selections with aggregates,
and then order-dependent selections. However, within each of these
subgroups, I think we should maintain left-to-right order.

,,, Really not. Nobody expects this and it should not matter.

In cases where the from-clause is simply 1 table, there is no restriction
on applying based on presence of aggregates or not, so we apply
order-independent selections first, then order-dependent selections.

,,, Right.

,,, Best, Dennis



> ... Do you think we need order-dependent aggregates in the where clause
> by the way? I do see the need in group by and having clauses.
> I'd like to see some compelling examples.
>
>

An example could be, we have a time series of discrete purchases we made,
and we want to examine data associated with when our position was greater
than X, which would require us to select using sums(purchases)>=X.

,,, Good one.

From shasha@crunchy12.cims.nyu.edu  Wed Apr  8 00:10:49 2015
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Date: Wed, 8 Apr 2015 00:10:35 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Aquery Questions on indices and join clauses in implicit joins
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... Dear Jose,

Professor,

I just wanted to get some questions in front of you, for whenever you get a
chance:

*Indices*
1 - for index purposes, do we still want to push down equality selections
(== and !=) and have other selections be added as a possible-push (which we
then generate q code to check for attributes at runtime and pick the
correct branch)?

... Yes. Only push == automatically (!= leaves lots of data and
the index is not so helpful). Also if several attributes are equality,
choose the one with the fastest index first.

*Join clauses*
2 - Are join clauses for implicit joins solely equality based? (i.e. A.c1 =
B.c1) Or would anything that establishes a relationship between 2 tables be
considered a valid clause? (e.g. A.c1 + B.c1 = 1 or A.c1 <= B.c1)?

... Implicit ones are equality based. Best, Dennis


Best,

Jose

-- 
Jose Pablo Cambronero

From shasha@crunchy12.cims.nyu.edu  Thu Apr 16 12:36:56 2015
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Date: Thu, 16 Apr 2015 12:36:53 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Aquery Sorting
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... Dear Jose,

Professor,

I've been thinking a bit more about your discussion about being unable to
determine which columns needed to be translate at translation time if our
from clause had more than one table. But I think I'm actually switching
sides on this now. Below an example similar to the one that raised this
issue:

select c1 from table1, table2 assuming some_order where sums(table1.c1)

The question was originally: since we sorted table1.c1, do we know that c1
is sorted or do we need to sort? We initially decided this might be better
left to be done in q (since we have table schemas).

However, I now think we can still do at translation time.

My strategy would be: if we sort c1, then assume x.c1 is sorted (where x
can be any table name). If we sort x.c1, then assume any c1 (with no table
name) is already sorted. Of course, if we sort A.c1, and then see B.c1, if
A != B, then B.c1 may or may not need to be sorted.

My rationale: if c1 is named without a reference to a table, then it has to
be that there is only 1 c1. If there were other c1, then they would have to
be referenced with a table name, not doing so would already be an issue in
sql. So it seems to me that the strategy above would be safe.

... That's true. It would be a run-time error, but the query shouldn't
go through.

I also think it might be easier to figure out what our sorting needs are on
the C side, since we already have our AST built up and it is easy to
traverse it, versus doing so in q.

... I imagine a very simple parse that generates an intermediate
high level language with primitives like select, project, sort, indexsearch
and then manipulating that in q, but if you find it easier in C,
then fine.



On another note, I've written up some notes on what we're doing regarding
optimizations. They are attached here as optim_explanations.pdf. I've also
modified the selection pushing to place non-equality selections right above
joins, in case there are indices. The ExamplesOptim pdf has 4 pgs, 2 per
query, with the first being naive and the second optimized. The query in
each is listed at the bottom.


If you agree with the sorting argument above, I'll modify our sorting
identification code today/tomorrow.

... Just one thing. Some indexes in fact create a sort order,
so please be sure not to sort based on a column that
is already sorted.

Best,

Jose


... This summer, we want to scale all this out. There is a lot to do.

... Best, Dennis

From shasha@crunchy12.cims.nyu.edu  Thu Apr 16 13:08:48 2015
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Date: Thu, 16 Apr 2015 13:08:29 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Your writeup
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Dear Jose,

Generally great.
A few comments:

1. where clause for any selection that can be used as an implicit join clause.
These are extracted and used to transform the cross-product into an equijoin
on that selection.
--> besides implicit joins, look for explicit equi-joins
e.g. r1.x = R2.y

2. Also eventually be conscious of indexes

3. "S p l i t oi cl a u s e s i n t o 2 based on the f i r s t u se o f an
a g g r e g a t e , c a l l t h e s e no agg clauses and a g g cl a u s e s"

Needs rewriting

4. "Group no agg clauses i n t o 2 : t h o s e i n v o l v i n g columns
with no c l e a r t a b l e r e f e r e n c e ( i . e . they a r e not o f
the form A. x ) , c a l l t h e s e known clauses and
unknown clauses"

also needs rewriting. There aren't two things mentioned.






5. "This returns the nodes that we should cross at each step"
It always worries me when you say the word "cross"

Basically inner joins or explict equalities should give
much more efficient implementations than crossing.

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Fri Apr 17 04:06:20 2015
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*** Dear Jose,

Professor,

some responses below

On Thu, Apr 16, 2015 at 1:08 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

> Dear Jose,
>
> Generally great.
> A few comments:
>
> 1. where clause for any selection that can be used as an implicit join
> clause.
> These are extracted and used to transform the cross-product into an
> equijoin
> on that selection.
> --> besides implicit joins, look for explicit equi-joins
> e.g. r1.x = R2.y
>
> Mm, I think I might have been misusing terminology then. When I said
implicit joins I thought that referred to situations as

select .... from t1, t1 where t1.c1 = t2.c2

where "," was not a cross product, but rather an implicit inner join (q's
equijoin ej) based on  t1.c1 = t2.c2

What would explicit equijoins be then?

*** That's explicit. Implicit are innerjoin statements or in q
foreign key jumping.




> 2. Also eventually be conscious of indexes
>
> Do you mean beyond making sure not to push selections that eliminate the
index, checking if an index create an order prior to sorting, and (all else
equal) executing selections associated with the fastest index first?

*** Yes, all those things:)



> 3. "S p l i t oi cl a u s e s i n t o 2 based on the f i r s t u se o f an
> a g g r e g a t e , c a l l t h e s e no agg clauses and a g g cl a u s e
> s"
>
> Needs rewriting
>

Will do, sorry, it wasn't clear.



>
> 4. "Group no agg clauses i n t o 2 : t h o s e i n v o l v i n g columns
> with no c l e a r t a b l e r e f e r e n c e ( i . e . they a r e not o f
> the form A. x ) , c a l l t h e s e known clauses and
> unknown clauses"
>
> also needs rewriting. There aren't two things mentioned.
>
> Agh, my apologies!


>
>
>
>
>
> 5. "This returns the nodes that we should cross at each step"
> It always worries me when you say the word "cross"
>
> Basically inner joins or explict equalities should give
> much more efficient implementations than crossing.
>

Sorry, this was an abuse of the term cross. It should read: this returns
the nodes that should be joined at each step. Since the joins explicitly
provided by users (through inner join, or full outer join) are executed as
provided, this heuristic only tries to figure out the best joins for those
stated with "," (e.g. select ... from t1, t2, t3 where t1.c1 = t2.c2 and
t2.c3 = t3.c3), and in those cases it does not cross (as I mistakenly
wrote) but rather performs an inner join (which in q is the equijoin ej).

*** I agree with this formulation. Best, Dennis


>
> Best,
> Dennis
>
>

Thank you again

Best,

Jose


-- 
Jose Pablo Cambronero

--001a113cf9fcb615250513e1e8ee
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<div><br></div><div>some responses below</div><d=
iv class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Thu, Apr 16, 201=
5 at 1:08 PM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@=
courant.nyu.edu" target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</span> wr=
ote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border=
-left:1px #ccc solid;padding-left:1ex">Dear Jose,<br>
<br>
Generally great.<br>
A few comments:<br>
<br>
1. where clause for any selection that can be used as an implicit join clau=
se.<br>
These are extracted and used to transform the cross-product into an equijoi=
n<br>
on that selection.<br>
--&gt; besides implicit joins, look for explicit equi-joins<br>
e.g. r1.x =3D R2.y<br>
<br></blockquote><div>Mm, I think I might have been misusing terminology th=
en. When I said implicit joins I thought that referred to situations as</di=
v><div><br></div><div>select .... from t1, t1 where t1.c1 =3D t2.c2</div><d=
iv><br></div><div>where &quot;,&quot; was not a cross product, but rather a=
n implicit inner join (q&#39;s equijoin ej) based on =C2=A0t1.c1 =3D t2.c2<=
/div><div><br></div><div>What would explicit equijoins be then?</div><div><=
br></div><div><br></div><div><br></div><div>=C2=A0</div><blockquote class=
=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padd=
ing-left:1ex">
2. Also eventually be conscious of indexes<br>
<br></blockquote><div>Do you mean beyond making sure not to push selections=
 that eliminate the index, checking if an index create an order prior to so=
rting, and (all else equal) executing selections associated with the fastes=
t index first?</div><div><br></div><div>=C2=A0</div><blockquote class=3D"gm=
ail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-le=
ft:1ex">
3. &quot;S p l i t oi cl a u s e s i n t o 2 based on the f i r s t u se o =
f an<br>
a g g r e g a t e , c a l l t h e s e no agg clauses and a g g cl a u s e s=
&quot;<br>
<br>
Needs rewriting<br></blockquote><div><br></div><div>Will do, sorry, it wasn=
&#39;t clear.</div><div><br></div><div>=C2=A0</div><blockquote class=3D"gma=
il_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-lef=
t:1ex">
<br>
4. &quot;Group no agg clauses i n t o 2 : t h o s e i n v o l v i n g colum=
ns<br>
with no c l e a r t a b l e r e f e r e n c e ( i . e . they a r e not o f<=
br>
the form A. x ) , c a l l t h e s e known clauses and<br>
unknown clauses&quot;<br>
<br>
also needs rewriting. There aren&#39;t two things mentioned.<br>
<br></blockquote><div>Agh, my apologies!</div><div>=C2=A0</div><blockquote =
class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid=
;padding-left:1ex">
<br>
<br>
<br>
<br>
<br>
5. &quot;This returns the nodes that we should cross at each step&quot;<br>
It always worries me when you say the word &quot;cross&quot;<br>
<br>
Basically inner joins or explict equalities should give<br>
much more efficient implementations than crossing.<br></blockquote><div><br=
></div><div>Sorry, this was an abuse of the term cross. It should read: thi=
s returns the nodes that should be joined at each step. Since the joins exp=
licitly provided by users (through inner join, or full outer join) are exec=
uted as provided, this heuristic only tries to figure out the best joins fo=
r those stated with &quot;,&quot; (e.g. select ... from t1, t2, t3 where t1=
.c1 =3D t2.c2 and t2.c3 =3D t3.c3), and in those cases it does not cross (a=
s I mistakenly wrote) but rather performs an inner join (which in q is the =
equijoin ej).</div><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=
=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<br>
Best,<br>
Dennis<br>
<br>
</blockquote></div><div class=3D"gmail_extra"><br></div><div class=3D"gmail=
_extra"><br></div>Thank you again</div><div class=3D"gmail_extra"><br></div=
><div class=3D"gmail_extra">Best,</div><div class=3D"gmail_extra"><br></div=
><div class=3D"gmail_extra">Jose<br><br clear=3D"all"><div><br></div>-- <br=
><div class=3D"gmail_signature">Jose Pablo Cambronero</div>
</div></div>

--001a113cf9fcb615250513e1e8ee--

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Date: Mon, 18 May 2015 02:05:53 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201505180605.t4I65riH029085@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@cs.nyu.edu
Subject: your report
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Dear Jose,

I love the honesty of your report:)
It would be great if you could bring this to completion by
the end of next semester.
I think it will be greatly appreciated.

A few questions:

1. What does this mean?
"We ignore the optimization 
flags here, as the code has no room for
optimization."

2. Could you give the raw times as well as the percentage change.
Also, please give both naive and optimized q code.

Nice work!
Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Sat Jul 18 21:35:13 2015
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Date: Sat, 18 Jul 2015 21:35:11 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Fwd: Call for Fellowship Nominations
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Dear Jose,

Ok, so the advantages to the q community, while important
when we approach that community, don't help (and could hurt
because it might seem too commercial) for the fellowship.

So, let's focus on the others. You need to:

1. justify the choice of the particular competitors in each case

2. focus on two aspects -- readability and performance
For now, readability and performance when possible (perhaps
only for simple querieis). These are preliminary results.
The main thing is that because of aquery's superiority over
these other systems, the work should be publishable (and state
venues based on where the competition publishes).

Thanks,
Dennis

From peter.lankford@stacresearch.com  Tue Sep 29 08:25:56 2015
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From: Peter Lankford <peter.lankford@stacresearch.com>
To: "jose.cambronero@cs.nyu.edu" <jose.cambronero@cs.nyu.edu>,
        Dennis Shasha
	<shasha@courant.nyu.edu>
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Jose,

It was good to learn more about your project last week. We're happy to supp=
ort it and look forward to getting something out of it that will be useful =
to the STAC community. For Dennis' benefit, and to make sure we're on the s=
ame page, I'll recap what we discussed:


1.      Your subject is AQuery translation to q on kdb+, specifically compa=
ring such a solution to other database solutions under realistic workloads.



2.      Your deliverable is a demo paper for SigMod, due around early Janua=
ry. You would like the demo to visualize the results from arbitrary queries=
 on the AQuery/kdb+ solution.



3.      You would like access to both the specifications and Kx's implement=
ation. The latter would enable you to use their build scripts for the datas=
et, which would save considerable work. It would also give you an important=
 comparison point for the query benchmarks on whatever platform you run. I =
support this idea but need to get Kx's approval, which we both believe they=
 will be happy to give.


4.      I explained that STAC-M3 has around 17 queries (ranging from brain-=
dead simple to fairly complex) and that you may not have time to implement =
all of them on all solutions, so perhaps you can just focus on a subset. Th=
at is not normally allowed, but we can probably find a way to justify an ex=
ception.



5.      I explained STAC's IP model and the rules around use of the benchma=
rk specifications and discolsure of benchmark results. The one challenge I =
didn't think of until after we spoke is enabling you to release unaudited r=
esults. There should be some ways to deal with this, which might need to in=
volve inspection of each system. Let me know if you foresee an issue with t=
hat.



6.      I explained that the STAC-M3 specifications are language-neutral (e=
xpressed in English and basic arithmetic) and that some vendors such as Kx =
have created language-specific implementations (the most recent being in q =
and a bit of k).


7.      We will supply the STAC-M3 materials and kdb+ implementation for no=
 charge and will do our best to support you with this, perhaps including co=
nducting some auditing, but we'd would like something in return, beyond som=
e academic exposure for STAC-M3. Specifically, we're interested in your pro=
viding us with the STAC-M3 implementations that you develop for the other a=
rchitectures. This would enable us to run benchmarks on additional database=
 products.



8.      You haven't decided which databases to target for your comparisons.=
 I suggested that the most interesting ones to the non-academic world (henc=
e to us) would be databases that people would consider using in the real wo=
rld. There are a number of open source columnar solutions to consider (prop=
rietary products usually come with baggage such as restrictions on disclosu=
re of benchmark results). Just off the top of my head (and without much kno=
wledge about their respective APIs/languages), some examples are SciDB, Mon=
etDB, Hbase, Arctic (a project developed by AHL atop MongoDB), and maybe ev=
en Druid or Sframes. We agreed to discuss this further.

The way we usually contract with universities is by signing them up as acad=
emic members of the STAC Benchmark Council with special terms (typically no=
 cash involved). The effort on your end is to get your legal department to =
review them. Since there are obligations of confidentiality, etc., the univ=
ersity typically has tight control over whom they let have access to the ST=
AC materials (i.e., it's not open season for students). We would presumably=
 make Dennis the primary representative, and he would let us know whom to p=
ermission, starting with you.

Please let me know if I captured everything correctly and if this sounds li=
ke a reasonable way forward. If so, we should be able to get the membership=
 docs to you right away.

Thanks,

Peter


Peter Lankford
Founder & Director
STAC (Securities Technology Analysis Center)
www.STACresearch.com
T: +1-630-929-4780
M: +1-630-330-5775


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" vlink=3D"#954F72"><div class=3DWordSection1><p class=3DMsoNormal>Jose,<o:=
p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>=
It was good to learn more about your project last week. We&#8217;re happy t=
o support it and look forward to getting something out of it that will be u=
seful to the STAC community. For Dennis&#8217; benefit, and to make sure we=
&#8217;re on the same page, I&#8217;ll recap what we discussed:<o:p></o:p><=
/p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoListParagraph st=
yle=3D'text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><sp=
an style=3D'mso-list:Ignore'>1.<span style=3D'font:7.0pt "Times New Roman"'=
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><![endif]>Your subject is AQu=
ery translation to q on kdb+, specifically comparing such a solution to oth=
er database solutions under realistic workloads.<o:p></o:p></p><p class=3DM=
soListParagraph><o:p>&nbsp;</o:p></p><p class=3DMsoListParagraph style=3D't=
ext-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style=
=3D'mso-list:Ignore'>2.<span style=3D'font:7.0pt "Times New Roman"'>&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp; </span></span><![endif]>Your deliverable is a demo =
paper for SigMod, due around early January. You would like the demo to visu=
alize the results from arbitrary queries on the AQuery/kdb+ solution.<o:p><=
/o:p></p><p class=3DMsoListParagraph><o:p>&nbsp;</o:p></p><p class=3DMsoLis=
tParagraph style=3D'text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supp=
ortLists]><span style=3D'mso-list:Ignore'>3.<span style=3D'font:7.0pt "Time=
s New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><![endif]>You wo=
uld like access to both the specifications and Kx&#8217;s implementation. T=
he latter would enable you to use their build scripts for the dataset, whic=
h would save considerable work. It would also give you an important compari=
son point for the query benchmarks on whatever platform you run. I support =
this idea but need to get Kx&#8217;s approval, which we both believe they w=
ill be happy to give.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p><=
/p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-list:l0 leve=
l1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'>4.<span style=
=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></s=
pan><![endif]>I explained that STAC-M3 has around 17 queries (ranging from =
brain-dead simple to fairly complex) and that you may not have time to impl=
ement all of them on all solutions, so perhaps you can just focus on a subs=
et. That is not normally allowed, but we can probably find a way to justify=
 an exception.<o:p></o:p></p><p class=3DMsoListParagraph><o:p>&nbsp;</o:p><=
/p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-list:l0 leve=
l1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'>5.<span style=
=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></s=
pan><![endif]>I explained STAC&#8217;s IP model and the rules around use of=
 the benchmark specifications and discolsure of benchmark results. The one =
challenge I didn&#8217;t think of until after we spoke is enabling you to r=
elease unaudited results. There should be some ways to deal with this, whic=
h might need to involve inspection of each system. Let me know if you fores=
ee an issue with that.<o:p></o:p></p><p class=3DMsoListParagraph><o:p>&nbsp=
;</o:p></p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-list=
:l0 level1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'>6.<sp=
an style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </=
span></span><![endif]>I explained that the STAC-M3 specifications are langu=
age-neutral (expressed in English and basic arithmetic) and that some vendo=
rs such as Kx have created language-specific implementations (the most rece=
nt being in q and a bit of k).<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbs=
p;</o:p></p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-lis=
t:l0 level1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'>7.<s=
pan style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <=
/span></span><![endif]>We will supply the STAC-M3 materials and kdb+ implem=
entation for no charge and will do our best to support you with this, perha=
ps including conducting some auditing, but we&#8217;d would like something =
in return, beyond some academic exposure for STAC-M3. Specifically, we&#821=
7;re interested in your providing us with the STAC-M3 implementations that =
you develop for the other architectures. This would enable us to run benchm=
arks on additional database products.<o:p></o:p></p><p class=3DMsoListParag=
raph><o:p>&nbsp;</o:p></p><p class=3DMsoListParagraph style=3D'text-indent:=
-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style=3D'mso-lis=
t:Ignore'>8.<span style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp; </span></span><![endif]>You haven&#8217;t decided which databa=
ses to target for your comparisons. I suggested that the most interesting o=
nes to the non-academic world (hence to us) would be databases that people =
would consider using in the real world. There are a number of open source c=
olumnar solutions to consider (proprietary products usually come with bagga=
ge such as restrictions on disclosure of benchmark results). Just off the t=
op of my head (and without much knowledge about their respective APIs/langu=
ages), some examples are SciDB, MonetDB, Hbase, Arctic (a project developed=
 by AHL atop MongoDB), and maybe even Druid or Sframes. We agreed to discus=
s this further.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>The way we usually contract with universities is by signi=
ng them up as academic members of the STAC Benchmark Council with special t=
erms (typically no cash involved). The effort on your end is to get your le=
gal department to review them. Since there are obligations of confidentiali=
ty, etc., the university typically has tight control over whom they let hav=
e access to the STAC materials (i.e., it&#8217;s not open season for studen=
ts). We would presumably make Dennis the primary representative, and he wou=
ld let us know whom to permission, starting with you.<o:p></o:p></p><p clas=
s=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Please let me know =
if I captured everything correctly and if this sounds like a reasonable way=
 forward. If so, we should be able to get the membership docs to you right =
away.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMs=
oNormal>Thanks,<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Peter<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p=
></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Peter L=
ankford<o:p></o:p></p><p class=3DMsoNormal>Founder &amp; Director<o:p></o:p=
></p><p class=3DMsoNormal>STAC (Securities Technology Analysis Center)<o:p>=
</o:p></p><p class=3DMsoNormal>www.STACresearch.com<o:p></o:p></p><p class=
=3DMsoNormal>T: +1-630-929-4780<o:p></o:p></p><p class=3DMsoNormal>M: +1-63=
0-330-5775<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=
=3DMsoNormal> <o:p></o:p></p></div></body></html>=

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From: Dennis Shasha <shasha@courant.nyu.edu>
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Dear Peter,

Thanks very much for the summary.
Everything was great until the very end.

We are interested in the English descriptions of your benchmark.
If that is confidential, then we can't publish the benchmark and that doesn't
do us any good.
If it isn't, then what confidential information is involved?
If we go through legal, then it will never get done 
or will take an inordinate amount of time.

Warm Regards,
Dennis

From peter.lankford@stacresearch.com  Tue Sep 29 14:35:06 2015
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From: Peter Lankford <peter.lankford@stacresearch.com>
To: Dennis Shasha <shasha@courant.nyu.edu>,
        "jose.cambronero@cs.nyu.edu"
	<jose.cambronero@cs.nyu.edu>
Date: Tue, 29 Sep 2015 14:34:59 -0400
Subject: RE: STAC/NYU
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The detailed benchmarks and code are confidential. No real way around that.=
 STAC-M3 reports contain high-level descriptions that explain the workload =
without enabling someone to replicate (have a look at any of the reports at=
 www.STACresearch.com/m3). I'm not sure I would agree that the benchmarks d=
o you no good if their details remain confidential. STAC-M3 has a lot of pu=
blic comparables, so it's not as important to publish the details as it wou=
ld be if you were making up your own benchmark.

That said, if signing a contract is out of the question because of the time=
 it takes for legal, then I'm afraid there really isn't any way we can help=
. We have to protect the Council-created IP. Other universities have done i=
t, but every organization is different.

Thanks,

Peter

-----Original Message-----
From: Dennis Shasha [mailto:shasha@courant.nyu.edu]=20
Sent: Tuesday, September 29, 2015 9:32 AM
To: jose.cambronero@cs.nyu.edu; Peter Lankford <peter.lankford@stacresearch=
.com>; shasha@courant.nyu.edu
Subject: Re: STAC/NYU


Dear Peter,

Thanks very much for the summary.
Everything was great until the very end.

We are interested in the English descriptions of your benchmark.
If that is confidential, then we can't publish the benchmark and that doesn=
't do us any good.
If it isn't, then what confidential information is involved?
If we go through legal, then it will never get done or will take an inordin=
ate amount of time.

Warm Regards,
Dennis

From shasha@crunchy12.cims.nyu.edu  Tue Sep 29 15:27:42 2015
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Date: Tue, 29 Sep 2015 15:27:41 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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Dear Peter,

We'd like not to give up, but the very first principle of experimental
computer science is reproducibility, so we would have to specify
what we've done.

Is there any English version of the benchmark that you could 
give us that we could publish, even if without the dataset?

Given a rough English definition,
we could provide a reference implementation, generate our own data,
and publish that with credit to STAC. It would be STAC-inspired. 

Warm Regards,
Dennis

From peter.lankford@stacresearch.com  Tue Sep 29 16:52:20 2015
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From: Peter Lankford <peter.lankford@stacresearch.com>
To: Dennis Shasha <shasha@courant.nyu.edu>,
        "jose.cambronero@cs.nyu.edu"
	<jose.cambronero@cs.nyu.edu>
Date: Tue, 29 Sep 2015 16:52:10 -0400
Subject: RE: STAC/NYU
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You're in the best position to judge, of course, but my view is that this p=
asses the reproducibility threshold because the benchmarks would be reprodu=
cible by anyone else who obtains the benchmarks from STAC. Reproducibility =
doesn't imply everything has to be free and unrestricted. If you were to pu=
blish a benchmark on Oracle, it would only be reproducible by someone with =
access to that version of Oracle. Surely you don't have to post the Oracle =
software on github in order to publish such research (nor could you). I thi=
nk the same thing applies here; it's just that in this case the benchmarks =
themselves are commercial. (Actually, so is kdb+. It's not freely accessibl=
e, either.)=20

Putting reproducibility aside, if you think the benchmarks are not interpre=
table with only high-level descriptions, then I'm afraid I can't think of a=
nother route for collaboration. Inspiring imitations of STAC-M3 would run e=
xactly counter to our business model (and associating them with the STAC br=
and in some way would be even worse). Whereas you live off hard money and g=
rants, we live off commercializing the IP in our benchmarks, which represen=
t a big investment for our small firm. Helping a substitute benchmark get o=
ff the ground would not be in our interest.

Let me know your thoughts.

Thanks,

Peter

-----Original Message-----
From: Dennis Shasha [mailto:shasha@courant.nyu.edu]=20
Sent: Tuesday, September 29, 2015 3:28 PM
To: jose.cambronero@cs.nyu.edu; Peter Lankford <peter.lankford@stacresearch=
.com>; shasha@courant.nyu.edu
Subject: RE: STAC/NYU


Dear Peter,

We'd like not to give up, but the very first principle of experimental comp=
uter science is reproducibility, so we would have to specify what we've don=
e.

Is there any English version of the benchmark that you could give us that w=
e could publish, even if without the dataset?

Given a rough English definition,
we could provide a reference implementation, generate our own data, and pub=
lish that with credit to STAC. It would be STAC-inspired.=20

Warm Regards,
Dennis

From shasha@crunchy12.cims.nyu.edu  Tue Sep 29 21:40:06 2015
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Date: Tue, 29 Sep 2015 21:40:04 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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Dear Peter,

I completely understand your position. In the database field,
the big benchmarks such as those from tpc.org are all fully specified.
We would be ridiculed for showing numbers on a benchmark for which
we can't specify the content.
So, I guess this won't work. It's a pity. I would have liked to work with
you.

Warm Regards,
Dennis

From shasha@crunchy12.cims.nyu.edu  Thu Oct  1 09:20:00 2015
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Date: Thu, 1 Oct 2015 09:19:57 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: jose.cambronero@cs.nyu.edu, peter.lankford@stacresearch.com,
        shasha@courant.nyu.edu
Subject: RE: STAC/NYU
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Dear Peter,
Yes, we will reconnect about that, but not for this first publication.
As I said, the paper would never fly if it hid the definition
of the benchmark.
Warm Regards,
Dennis

>From peter.lankford@stacresearch.com  Wed Sep 30 12:42:16 2015

Yeah, I guess not. Had I realized full public disclosure was a requirement,
 we could have had a shorter conversation. Good luck with the project. Might still be interesting to get an AQuery STAC-M3 benchmark at some point. Perhaps if you want to attract the interest of potential industry partners.

Cheers,

Peter

From shasha@crunchy12.cims.nyu.edu  Sat Oct  3 23:45:51 2015
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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@cs.nyu.edu
Subject: expressability of aquery
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Dear Jose,
We'd like to be able to insert into a table based on another,
e.g. 

INSERT INTO qualtable(basestation, handset, qualityvec)
SELECT basestation, handset, quality FROM  network ASSUMING ASC time GROUP BY basestation, handset

or

INSERT INTO qualtable
SELECT basestation, handset, quality FROM  network ASSUMING ASC time GROUP BY basestation, handset

We'd also like to be able to assign the result of a table selection
to a q variable e.g.

x: SELECT basestation, handset, avgs(3,quality) as movavg FROM  network ASSUMING ASC time GROUP BY basestation, handset

<q>
count x
`:myoutput.csv 0:csv 0:x
</q>

or even an extension like

x: EXEC basestation, handset, avgs(3,quality) as movavg FROM  network ASSUMING ASC time GROUP BY basestation, handset

<q>
count x
</q>

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Thu Oct  8 21:22:04 2015
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Date: Thu, 8 Oct 2015 21:22:01 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Aquery updates
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... Dear Jose,

Professor,

*Network quality*
I have put together an Aquery version of what I understand to be your
network quality project. It is attached here. Let me know if this is what
you have in mind and if there are any glaring departures from what you
would need for the project (if so, I can focus on adding that
functionality). I ran this on my end and things worked as expected.

... Will answer separately.

*Query Survey*
I created a simple survey to distribute amongst former colleagues and
friends who I know are involved in ordered-data analysis. The survey can be
found at
https://docs.google.com/forms/d/1w2duy8PlennYfFhpmWMHKndxj8lAMHXHCyKPahUb9KE/viewform?usp=send_form

... It's great, but if it's going
to friends, why would we need the background part? 
One question to pursue though is the benchmark question and we'd
like to actually solicit names.


Let me know if you think changes are appropriate. I've paraphrased various
of the fintime queries.

*Visualization*
I was looking at plotly.com as well. Do you have a strong preference for
tableau? I am just researching both right now, but wanted to check-in in
case plotly was a no-go from the start.

... I'm open to both. It's just that q is now linked with tableau
and the tableau guy has used q:) Best, Dennis

I'm meeting with Meet tomorrow at noon.

... Wonderful.

Best,

Jose

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Date: Thu, 29 Oct 2015 05:09:30 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201510290909.t9T99UQM015565@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu, shasha@cs.nyu.edu
Subject: Re: abstract drafts/please take this one
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for the paper:

AQuery, a query language for order: Semantics, Optimization, and Experiments

AQuery is a simple syntactic and semantic extension
to SQL 92 that operates on columnar ordered data.
This paper explains the semantics of AQuery both formally and through 
examples, then explains the special optimization problems that
arise because of order, the transformations that mitigate some of these
problems, illustrations of the benefits of those transformations,
and then experiments comparing AQuery against other systems including ...
Our primary examples are from finance and to a lesser extent
communication networks.

For the demo:

use title we came up with in the subway.

This demo allows users to test different financial strategies
over historical data using a our simple and
efficient time series query language AQuery.
Using real historical stock data, users will be able to run both
canned queries with some free parameters and write their own queries
in a simple extension to SQL 92. The output will be graphical as illustrated
below.


Best,
Dennis

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Wed, 4 Nov 2015 13:00:36 -0500
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Subject: Re: Monetdb benchmarking and functionality
To: Dennis Shasha <shasha@courant.nyu.edu>
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--001a114a8f6aea65600523bacbbc
Content-Type: text/plain; charset=UTF-8

Yes, my understanding is that embedded python in monetdb does take
advantage of monetdb's column store (and it's ability to parallelize
operations over a given column):

the input to the python function is viewed as a 1-dimension numpy array so

select f(c) from t...
would provide the column c as a numpy array

Also quite interesting: for python functions that can be evaluated
separately (i.e. don't need access to the entire column's values), monetdb
splits the column into x parts, operates on these in separate threads, and
then recombines.

I'm gathering this info from their post on the topic at:
https://www.monetdb.org/blog/embedded-pythonnumpy-monetdb


Best,

Jose


On Wed, Nov 4, 2015 at 1:06 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> ... Dear Jose,
>
> Professor,
>
> I was exploring the functionality available in monetdb and comparing to
> what is needed for fintime benchmarking. It seems to me that monetdb is a
> bit limited in this sense, am I correct in this impression? For example,
> from this thread it seems there is no rolling sum function
> <https://www.monetdb.org/pipermail/users-list/2009-May/002949.html>.
>
> Below my potential strategies for addressing this for benchmarking
> purposes:
>
> 1 - Use embedded python (numpy) in monetdb (added 09/21/2015
> <https://www.monetdb.org/blog/embedded-pythonnumpy-monetdb>), to create
> UDFs as necessary. I like this since it approaches the 'analytics one-stop
> shop' that aquery aims to be.
>
> ... Ok, but does it take advantage of monetdb's column store?
>
> 2 - Use MonetDB.R <http://monetr.r-forge.r-project.org/>, which uses
> monetdb as a data store (and queries that), and R as an analysis tool. This
> tackles a potentially common workflow: use column db (or regular db) for
> data store, and analyze in another language. My main concern here is that
> the loss in performance will be framed as "well that's I/O", but I think it
> is potentially still worthwhile.
>
> ... less good.
>
> 3 - Extending Monetdb with C UDFs as necessary. This doesn't seem realistic
> in terms of timing.
>
> ... less good.
>
>
> Monetdb has a benchmark posted in their website (XML Benchmark
> <https://www.monetdb.org/XQuery/Benchmark>), which doesn't seem
> appropriate
> for aquery.
>
> Separately, they also performed a TPC-H benchmark a while back that
> compared MonetDB to PostgreSQL, MariaDB and CitusDB. I was taking a look at
> the terms of license for TPC-H data generation
> <https://github.com/MonetDB/monetdb-postgres-compare> and think that our
> use would be compliant (under "academic, and research purposes" of 3.
> Scopes of Use clause).
>
> ... Not really time series. So please do the python udf. Best, Dennis
>
> Do you have any thoughts what the best course of action might be in your
> view? I think (1) might be particularly nice since it is a more recent
> development in MonetDB.
>
>
> Best,
>
> Jose
>
> --
> Jose Pablo Cambronero
>
>


-- 
Jose Pablo Cambronero

--001a114a8f6aea65600523bacbbc
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Yes, my understanding is that embedded python in monetdb d=
oes take advantage of monetdb&#39;s column store (and it&#39;s ability to p=
arallelize operations over a given column):<div><br></div><div>the input to=
 the python function is viewed as a 1-dimension numpy array so</div><div><b=
r></div><div>select f(c) from t...</div><div>would provide the column c as =
a numpy array</div><div><br></div><div>Also quite interesting: for python f=
unctions that can be evaluated separately (i.e. don&#39;t need access to th=
e entire column&#39;s values), monetdb splits the column into x parts, oper=
ates on these in separate threads, and then recombines.=C2=A0</div><div><br=
></div><div>I&#39;m gathering this info from their post on the topic at: <a=
 href=3D"https://www.monetdb.org/blog/embedded-pythonnumpy-monetdb">https:/=
/www.monetdb.org/blog/embedded-pythonnumpy-monetdb</a></div><div><br></div>=
<div><br><div>Best,</div></div><div><br></div><div>Jose</div><div><br></div=
></div><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Wed, No=
v 4, 2015 at 1:06 AM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto=
:shasha@courant.nyu.edu" target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</=
span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8e=
x;border-left:1px #ccc solid;padding-left:1ex"><br>
... Dear Jose,<br>
<span class=3D""><br>
Professor,<br>
<br>
I was exploring the functionality available in monetdb and comparing to<br>
what is needed for fintime benchmarking. It seems to me that monetdb is a<b=
r>
bit limited in this sense, am I correct in this impression? For example,<br=
>
from this thread it seems there is no rolling sum function<br>
</span>&lt;<a href=3D"https://www.monetdb.org/pipermail/users-list/2009-May=
/002949.html" rel=3D"noreferrer" target=3D"_blank">https://www.monetdb.org/=
pipermail/users-list/2009-May/002949.html</a>&gt;.<br>
<span class=3D""><br>
Below my potential strategies for addressing this for benchmarking purposes=
:<br>
<br>
1 - Use embedded python (numpy) in monetdb (added 09/21/2015<br>
</span>&lt;<a href=3D"https://www.monetdb.org/blog/embedded-pythonnumpy-mon=
etdb" rel=3D"noreferrer" target=3D"_blank">https://www.monetdb.org/blog/emb=
edded-pythonnumpy-monetdb</a>&gt;), to create<br>
<span class=3D"">UDFs as necessary. I like this since it approaches the &#3=
9;analytics one-stop<br>
shop&#39; that aquery aims to be.<br>
<br>
</span>... Ok, but does it take advantage of monetdb&#39;s column store?<br=
>
<br>
2 - Use MonetDB.R &lt;<a href=3D"http://monetr.r-forge.r-project.org/" rel=
=3D"noreferrer" target=3D"_blank">http://monetr.r-forge.r-project.org/</a>&=
gt;, which uses<br>
<span class=3D"">monetdb as a data store (and queries that), and R as an an=
alysis tool. This<br>
tackles a potentially common workflow: use column db (or regular db) for<br=
>
data store, and analyze in another language. My main concern here is that<b=
r>
the loss in performance will be framed as &quot;well that&#39;s I/O&quot;, =
but I think it<br>
is potentially still worthwhile.<br>
<br>
</span>... less good.<br>
<span class=3D""><br>
3 - Extending Monetdb with C UDFs as necessary. This doesn&#39;t seem reali=
stic<br>
in terms of timing.<br>
<br>
</span>... less good.<br>
<span class=3D""><br>
<br>
Monetdb has a benchmark posted in their website (XML Benchmark<br>
</span>&lt;<a href=3D"https://www.monetdb.org/XQuery/Benchmark" rel=3D"nore=
ferrer" target=3D"_blank">https://www.monetdb.org/XQuery/Benchmark</a>&gt;)=
, which doesn&#39;t seem appropriate<br>
<span class=3D"">for aquery.<br>
<br>
Separately, they also performed a TPC-H benchmark a while back that<br>
compared MonetDB to PostgreSQL, MariaDB and CitusDB. I was taking a look at=
<br>
the terms of license for TPC-H data generation<br>
</span>&lt;<a href=3D"https://github.com/MonetDB/monetdb-postgres-compare" =
rel=3D"noreferrer" target=3D"_blank">https://github.com/MonetDB/monetdb-pos=
tgres-compare</a>&gt; and think that our<br>
<span class=3D"">use would be compliant (under &quot;academic, and research=
 purposes&quot; of 3.<br>
Scopes of Use clause).<br>
<br>
</span>... Not really time series. So please do the python udf. Best, Denni=
s<br>
<div class=3D"HOEnZb"><div class=3D"h5"><br>
Do you have any thoughts what the best course of action might be in your<br=
>
view? I think (1) might be particularly nice since it is a more recent<br>
development in MonetDB.<br>
<br>
<br>
Best,<br>
<br>
Jose<br>
<br>
--<br>
Jose Pablo Cambronero<br>
<br>
</div></div></blockquote></div><br><br clear=3D"all"><div><br></div>-- <br>=
<div class=3D"gmail_signature">Jose Pablo Cambronero</div>
</div>

--001a114a8f6aea65600523bacbbc--

From shasha@crunchy12.cims.nyu.edu  Thu Dec 10 20:47:48 2015
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Date: Thu, 10 Dec 2015 20:47:46 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201512110147.tBB1lkGo012903@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@cs.nyu.edu
Subject: possibly helpful to aquery/tableau
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Dear Jose,
http://code.kx.com/wiki/Cookbook/ODBC/v3server
Best,
Dennis

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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Visualization for AQuery: Possible Approaches
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Dear Jose,

Surprising that the tableau hook-up is limited to windows.
If you don't mind, please write to the authors to confirm that limitation.

Let's think about what we want from the visualization and then you find
the easiest way to achieve it:

1. boxplots, e.g. for fintime query 1

2. visualize and label one or more time series

3. Be able to group time series (e.g. correlation subgroups)

4. Label points in a time series, e.g. to mark points of dividend
as in fintime query 9 or buy and sell points.

5. Pie charts for group by queries

6. Histograms.

The demo challenges: 
1. Find the day and stock where buying early and selling later would
give the maximum profit. (Provide as an example the price-mins query
for a single day and a single stock).
Illustrate by marking the minimum and the maximum as in point 4 above.

2. Test heuristics, e.g. after every day, sell the stocks that did the best
and buy the stocks that did the worst.
Clear out that position at the end of the day.

3. Look at how long pairs of stocks maintain correlations
above a certain threshold in returns.

One or two more as you choose.

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Sat Jan 30 12:10:02 2016
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Dear Jose,

Hmm. The comments are bizarre, but still helpful. 
In rewriting this as an NYU technical report and eventually
a journal submission:

1. we have to clearly distinguish between ASSUMING and ORDER BY.

2. We have to show that without the optimizations, we do worse.

3. We have to maybe think about new optimizations.

4. We have to extend to a massively parallel environment
and show we can kick ass.

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Sat Jan 30 12:17:07 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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P.S. And we should probably show the extended relational algebra.

From shasha@cims.nyu.edu  Sun Jan 31 07:31:46 2016
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Subject: let's go for a journal
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Dear Jose,

Let's consider every criticism we got, rewrite and expand
the paper and go for a journal. Sigmod is strange in that
there is so much pressure to reject, so reviewers will 
throw out the novelty card even in the face of vast performance
improvements.

The fact that we are better seems not to be enough.

Part of the expansion should be the extended relational algebra.
There probably is somewhere a relational algebra with aggregates.
Please find that and add in an ordering operation and order-dependent
aggregates.

Another part should be index selection in the 
presence of ordering and partitioning. 
Here are some considerations:

1. how do indexing and ordering interact?
should I spoil an already ordered table to use an index?
Should using an index determine how much I delay ordering?
When does delaying ordeirng hurt?

2.  how do partitioning and ordering interact?
We don't want to order across partitions, but can order within
partitions. Suppose we partition by week and we want the 21 day
moving average to cross the 5 day moving average. How do we
combine them well?

What do you think of this strategy?

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Sun Jan 31 16:03:45 2016
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Date: Sun, 31 Jan 2016 16:03:42 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
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... Dear Jose,

Professor,

I'm definitely on board to work towards making it a journal paper. I just
had some questions/comments below.

On Sun, Jan 31, 2016 at 7:31 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

>
>
> Dear Jose,
>
> Let's consider every criticism we got, rewrite and expand
> the paper and go for a journal. Sigmod is strange in that
> there is so much pressure to reject, so reviewers will
> throw out the novelty card even in the face of vast performance
> improvements.
>
> The fact that we are better seems not to be enough.
>

Do you think this bodes similarly for the demo paper?

... No. The demo is to show something useful and emotive.
I think we showed that.


>
> Part of the expansion should be the extended relational algebra.
> There probably is somewhere a relational algebra with aggregates.
> Please find that and add in an ordering operation and order-dependent
> aggregates.
>

Alberto's dissertation has a section that covers the relational algebra.
Should I start from there? Or develop separately? I'm mainly asking giving
the "novelty" factor mentioned prior. That being said, I think our
implementation has a couple of differences so perhaps a slightly modified
algebra is in order.

... Novelty is less of an issue for the journal. We are completing
some other work. So yes, start with Alberto's thesis.


> Another part should be index selection in the
> presence of ordering and partitioning.
> Here are some considerations:
>
> 1. how do indexing and ordering interact?
> should I spoil an already ordered table to use an index?
> Should using an index determine how much I delay ordering?
> When does delaying ordeirng hurt?
>

I can certainly work on this. I assume we would want to do this empirically
with a series of experiments, right?

... Yes, but think what is likely to work first.


>
> 2.  how do partitioning and ordering interact?
> We don't want to order across partitions, but can order within
> partitions. Suppose we partition by week and we want the 21 day
> moving average to cross the 5 day moving average. How do we
> combine them well?
>

If possible, I'd like to discuss this more in depth during Tuesday's lunch.
The current implementation of aquery's sorting targets in-memory tables,
and splayed tables, since these allow applying sorting through row-indices
directly. For partitioned tables (which don't allow this), the current
approach which I had in mind (but might not be the best), was to first
perform a selection of the data you need, thus bringing it into memory, and
then handle any order needs. However, operating within a partition, but not
across partitions, and then combining was not something I had considered. I
can certainly start thinking about this though.

... Yes, I think we want to do both.

Should we also include performance results for fintime with unoptimized
aquery? We might still beat some of the comparison systems given q's
natural performance, however, we should certainly lag our optimized aquery
implementation by a significant amount, which I presume is what we want to
show.

... Yes, definitely. That will show why the optimizations help.


> What do you think of this strategy?
>

Sounds good to me. I look forward to working on this. Should I scrap the
SIGMOD submission completely, or use that as a starting point for this
paper? I'm inclined to say the latter, but wanted to check with you.

... Definitely a starting point.

Do you have any journal in mind? I'd like to read some existing submissions
to get a sense of the type of writing etc.

... Transactions on Database Systems. Best, Dennis


> Best,
> Dennis
>

From shasha@crunchy12.cims.nyu.edu  Sat Feb  6 04:10:36 2016
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Dear Jose,

It's a good start.
The key contribution of a relational algebra is to have
a good way to express rewriting rules.
For example, in a relational system, 

sigma ( R  x S) <--> ( (sigma1 R) join (sigma2 S))

assuming the sigma has selections on both R, S and on their join.

So, we want to identify and justify rewriting
rules  given the notation you have.
Some examples would be:

1. order-independent-sigma phi(R) <--> phi(order-independent-sigma(R))

2. In the distributed case (where we can't do a phi over the whole table),
we might have others.

3. We might also want to move selections inside group-bys.

4. For the complicated select orderings, theorem 1 does something, but there
might be cases where selects can move past order-dependent operations.

Warm Regards,
Dennis


From shasha@crunchy12.cims.nyu.edu  Wed Feb 10 19:02:47 2016
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Date: Wed, 10 Feb 2016 19:02:41 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@cs.nyu.edu
Subject: our goals for this semester
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Dear Jose,

Just so it's written down:

1. Parallel system.

2. A study of optimizations that go beyond the relational model.

3. Relational algebra.

4. An example application and a way to bring in new applications.

5. A journal paper submission.

I know it's a lot.

Best,
Dennis
P.S. The slides were great.

From shasha@crunchy12.cims.nyu.edu  Sun Feb 14 18:03:40 2016
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Date: Sun, 14 Feb 2016 18:03:37 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201602142303.u1EN3bTT012406@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: progress request
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... Dear Jose,

Professor,

As far as optimizations:
 - I wanted to finalize the algebra (particularly looking towards
distributed operations). Once the algebra is ready, my hopes were to look
towards some of the distributed queries literature to find some standard
optimizations that I could express in it.

... Sure, but I wonder also what's new. Some things that are new 
are that assuming will work only if it's consistent with the partition,
but that's a subtle question. For example, suppose we partition by day
and have an assuming ordered by time. A moving average can't work between
days but we would need to ship only the relevant overlap data.
On the other hand if we group by day, then the moving average works
perfectly. So I think there is lots of interesting new stuff here.

For the parellelization:
- I was actually hoping to talk to you on Tuesday about this in specific.
For parallelization, is our approach to have multiple q processes  (on
multiple machines) running (portions of) the query, and then aggregating
the results? I believe there have been various contributions (from aquaq
and others) to the public kdb repository that have task
managers/schedulers, that I could use for core parts of this. If so, then
my first step would be to a) make sure these play nice with aquery's
generated code, b) actually set it up on HPC.

... Yes, that's the plan.

I think for aquery code generated for parallelization, it might be helpful
to have a compile flag that indicates it is targeting a distributed system.
So the code generation can simply assume all tables are partitioned (since
the user is likely using parallelization because they have a ton of data),
and work accordingly, rather than continuously perform checks.

... Sure.

I'll put together a better detailed roadmap for Tuesday's lunch.


Best,

Jos=C3=A9

... Best, Dennis

On Sun, Feb 14, 2016 at 5:02 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> Dear Jose,
>
> Please tell me how your thinking about optimizations and large scale
> parallelization have
> advanced.
>
> Thanks,
> Dennis
>



--=20
Jose Pablo Cambronero

--001a113a94ecf63fc4052bbe0392
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<div><br></div><div>As far as optimizations:</di=
v><div>=C2=A0- I wanted to finalize the algebra (particularly looking towar=
ds distributed operations). Once the algebra is ready, my hopes were to loo=
k towards some of the distributed queries literature to find some standard =
optimizations that I could express in it.</div><div><br></div><div>For the =
parellelization:</div><div>- I was actually hoping to talk to you on Tuesda=
y about this in specific. For parallelization, is our approach to have mult=
iple q processes =C2=A0(on multiple machines) running (portions of) the que=
ry, and then aggregating the results? I believe there have been various con=
tributions (from aquaq and others) to the public kdb repository that have t=
ask managers/schedulers, that I could use for core parts of this. If so, th=
en my first step would be to a) make sure these play nice with aquery&#39;s=
 generated code, b) actually set it up on HPC.</div><div><br></div><div>I t=
hink for aquery code generated for parallelization, it might be helpful to =
have a compile flag that indicates it is targeting a distributed system. So=
 the code generation can simply assume all tables are partitioned (since th=
e user is likely using parallelization because they have a ton of data), an=
d work accordingly, rather than continuously perform checks.</div><div><br>=
</div><div>I&#39;ll put together a better detailed roadmap for Tuesday&#39;=
s lunch.</div><div><br></div><div><br></div><div>Best,</div><div><br></div>=
<div>Jos=C3=A9</div></div><div class=3D"gmail_extra"><br><div class=3D"gmai=
l_quote">On Sun, Feb 14, 2016 at 5:02 AM, Dennis Shasha <span dir=3D"ltr">&=
lt;<a href=3D"mailto:shasha@courant.nyu.edu" target=3D"_blank">shasha@coura=
nt.nyu.edu</a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quote" style=
=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
Dear Jose,<br>
<br>
Please tell me how your thinking about optimizations and large scale parall=
elization have<br>
advanced.<br>
<br>
Thanks,<br>
Dennis<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature">Jose Pablo Cambronero</div>
</div>

--001a113a94ecf63fc4052bbe0392--

From shasha@crunchy12.cims.nyu.edu  Wed Feb 17 19:19:41 2016
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Date: Wed, 17 Feb 2016 19:19:39 -0500 (EST)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201602180019.u1I0JdGu006572@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Parallel AQuery: First set of observations
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... Dear Jose,

... I like your analysis:)

... One issue is whether the free 32 bit version can handle parallelization.
Do you happen to know?

... One thing to see is what are the worst queries.
I think we can do more in parallel than you think.
Even sorts can be done by approximating fence values and sending
items to appropriate sites (e.g. based on the data distribution, send
all items below 15.2 to site 1, between 15.2 and 98.5 to site 2 etc.)
and then sort locally.
This works even for joins and then we can perform aggregates in parallel.

select associativecommutativeaggregate(S.e, 20)
from R, S, T
where R.b = S.c
assuming R.b, S.d

might require grouping by R.b
and by S.c and then bringing over the S.d and S.e data
and then doing things locally.
So, we should have a global partition by for each table and be able
to perform the associativecommutativeaggregate on each site in parallel and then
glue the results together (e.g. sums could be done in parallel and then
the results on each site adjusted by adding from other sites. Say we have
four sites we do a sums on each site and then send the results from sites
1, 2, 3 to site 4, the results from 1, 2 to site 3 and the result from 1 to 2.
Again in parallel, apply the adjustment to those sums.)

By contrast in the case below, we should sort globally but then we
have to process the sites one at a time. 

select complexuserdefinedagg(S.e, 20)
from R, S, T
where R.b = S.c
assuming R.b, S.d

Professor,

I've put together a starting document that collects some of my observations
for parallelizing AQuery.

It provides various definitions, observations, and transformations stemming
from the first two.

I'm still thinking about what the best way to implement this is going to
be. I'm torn between the fact that a) we already do a lot of the
order-dependence analysis at compile time, b) break down a query into
execution of the separate clauses (selections, sorting, etc) as
appropriate, c) but pretty much all of the partition information comes at
runtime. (c) makes me feel like this should be a library in q, that aquery
then includes calls to in the generated code, but (a) + (b) make me think
that this might duplicate some work (but which could be avoided by
providing the information as annotations in the generated code) and might
not be amenable to the way I currently approach a query.

I need to think through this a bit more I feel.

Best,

Jos=C3=A9


--=20

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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Parallel AQuery: First set of observations
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--- Dear Jose,

Professor,

Thank you for your response, some questions/comments/answers below

2016-02-17 19:19 GMT-05:00 Dennis Shasha <shasha@courant.nyu.edu>:

> ... Dear Jose,
>
> ... I like your analysis:)
>
> ... One issue is whether the free 32 bit version can handle
> parallelization.
> Do you happen to know?
>

Yep. I gave it a try locally and with remote processes. The screen shot
attached shows 3 worker processes on energon1, and a master on crunchy,
with the master delegating a trivial calculation (along with a simple
message to verify that they execute concurrently) to each process when
using *peach*

--- Great.


>
> ... One thing to see is what are the worst queries.
>

I'll think about this, particularly I think there are couple of things to
consider for "worse". Is a query that forces us to collect most data
locally worse than a query that otherwise forces a large amount of IPC and
thus has overhead that might add up significantly?

--- global communication is bad (as for a sort), but global focus 
all on one node is really bad. the cost should be the maximum data
hitting any single node.


> I think we can do more in parallel than you think.
>

Yes, I wasn't considering various of the aspects you mentioned, like
working with the distribution of values. Thank you for pointing that out.


> Even sorts can be done by approximating fence values and sending
> items to appropriate sites (e.g. based on the data distribution, send
> all items below 15.2 to site 1, between 15.2 and 98.5 to site 2 etc.)
> and then sort locally.
>

Mmm, so it sounds like we would want more granular control of the processes
than what I think something like q's peach gives us (which simply routes
each of the necessary "each" executions to be done in parallel by the
worker processes, but without letting the user state which one in
particular gets assigned what).

This example also makes me more convinced that perhaps this should be done
as a q library, and aquery simply calls that library.

--- Agreed.


> This works even for joins and then we can perform aggregates in parallel.
>
> select associativecommutativeaggregate(S.e, 20)
> from R, S, T
> where R.b =3D S.c
> assuming R.b, S.d
>
> might require grouping by R.b
> and by S.c and then bringing over the S.d and S.e data
> and then doing things locally.
> So, we should have a global partition by for each table


Mmm, I got a bit lost here. Can you explain to me what you mean by a
"global partition by"? The data itself will already be partitioned, is that
the partitioning you are referring to?

--- Sorry to be unclear. Suppose R and S are partitioned by A and A' respectively. So the first thing we'd want to do I think is repartition them by R.b for R and S.c for S, where the partitioning on R.b respects a sort order (e.g. lowest R.b values in one node, then next bigger set on another node etc).. So we would have a global partition by operator that would do such
repartitioning and would have a partition and sort option.



> and be able
> to perform the associativecommutativeaggregate on each site in parallel
> and then
> glue the results together (e.g. sums could be done in parallel and then
> the results on each site adjusted by adding from other sites. Say we have
> four sites we do a sums on each site and then send the results from sites
> 1, 2, 3 to site 4, the results from 1, 2 to site 3 and the result from 1
> to 2.
>


This further underscores what I mentioned about peach earlier on.

--- Abstolutely.


> Again in parallel, apply the adjustment to those sums.)
>
> By contrast in the case below, we should sort globally but then we
> have to process the sites one at a time.
>
> select complexuserdefinedagg(S.e, 20)
> from R, S, T
> where R.b =3D S.c
> assuming R.b, S.d
>


But if the complexuserdefinedagg requires knowledge of the global column,
wouldn't we need to do that locally? Perhaps I'm misunderstanding or
missing the point here.

--- so, I'm assuming that by the time we apply the complexuserdefinedagg
the join has happened so we are partitioned by R.b
and the partitioning smallest R.b values are in one site, then the next
and so on. Here, we would apply complexuserdefinedagg to the first site,
then the next then the next and so on. This is unlike the sums case
where we can do a lot of work in parallel.

--- Best, Dennis


Thanks again!

Best,

Jos=C3=A9


>
> Professor,
>
> I've put together a starting document that collects some of my observatio=
ns
> for parallelizing AQuery.
>
> It provides various definitions, observations, and transformations stemmi=
ng
> from the first two.
>
> I'm still thinking about what the best way to implement this is going to
> be. I'm torn between the fact that a) we already do a lot of the
> order-dependence analysis at compile time, b) break down a query into
> execution of the separate clauses (selections, sorting, etc) as
> appropriate, c) but pretty much all of the partition information comes at
> runtime. (c) makes me feel like this should be a library in q, that aquer=
y
> then includes calls to in the generated code, but (a) + (b) make me think
> that this might duplicate some work (but which could be avoided by
> providing the information as annotations in the generated code) and might
> not be amenable to the way I currently approach a query.
>
> I need to think through this a bit more I feel.
>
> Best,
>
> Jos=3DC3=3DA9
>
>
> --=3D20
> Jose Pablo Cambronero
>

From josepablocam@gmail.com  Tue Feb 23 12:06:50 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Tue, 23 Feb 2016 12:05:57 -0500
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Subject: Re: Parallel AQuery: First set of observations
To: Dennis Shasha <shasha@courant.nyu.edu>
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Professor,

I was reading up on some existing distributed analytics platforms, and ran
into this paper
<https://web.eecs.umich.edu/~prabal/teaching/resources/eecs582/armbrust15sp=
arksql.pdf>
(also attached here) on Spark SQL. It struck me that this might be an
interesting opportunity to explore the AQuery transformations, while taking
advantage of existing infrastructure for distributed  (and fault tolerant)
computation.

Some potential advantages I see:
a) Spark is very popular, so to the extent that we can successfully
integrate, this has large footprint potential
b) It is fully open source (Spark + Spark SQL + Scala, the whole stack)
c) The extensibility of their optimizer (Catalyst) would likely allow us to
experiment with different transformations in a simpler way than in my
current implementation
d) Their general design is in line with AQuery design/goals: column
storage, in-memory, allows use of expressive UDFs (in Scala), allows
non-primitive data types in a column (e.g. arrays, objects etc), their
optimization phase is similarly performed by repeatedly transforming the
AST (rather than some other intermediate structure).

Some disadvantages:
a) Spark SQL doesn't have much (need to confirm this bit) sense of order
(but this could be extended)
b) I might have to reimplement some analysis that is done in AQuery (but
this shouldn't be much and in terms of LOC going from C to Scala would
likely simplify).
c) The control over worker processes is more granular than q's peach, but
I'm not sure it is on par with what was discussed in the prior emails (I'd
have to confirm though).
d) The most obvious of all: not kdb+

I spoke with one of the engineers at Cloudera that I worked with over the
summer, to get some more info on Spark SQL. He mentioned that some people
at Two Sigma were actually working on a related project (but in their case,
they were looking to simply maintain order across transformations), and
could put us in touch with them, as they were actually planning on open
sourcing it in the near future. I'm waiting to hear back from him on who
(if anyone) there we can talk to.

Would love to hear your thoughts on this.

Best,

Jos=C3=A9

From shasha@crunchy12.cims.nyu.edu  Tue Feb 23 12:48:30 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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Subject: Re: Parallel AQuery: First set of observations
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Dear Jose,

Yes, I know about Spark. My big concern is time. I'd vastly prefer
to have something really cool on the kdb platform, then bits and
pieces on Spark. I think you have a good chance of completing on the kdb
platform. We'd have kick-ass experimental results. At least one community
will use it and if kdb ever becomes freely available for non-commercial
use again, we will have something truly useful.

Best,
Dennis 

From shasha@crunchy12.cims.nyu.edu  Sat Feb 27 04:01:54 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Fwd: SIGMOD Demos 2016: Paper 75 Decision
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Dear Jose,

What these two rejects show me is that we have to establish novelty very carefully. Naively, I had thought that beating everyone else on their
benchmarks would be enough. (The MIT folks said they picked you from
their pile because of my letter and that comment in particular -- at least
they had taste:).
So, for the journal paper, we have to frame things to make the novelty
clearly rest with the optimizations and parallelism and show result at scale
(still using the same benchmarks).
We can't use the same name even.

New Optimization Techniques for the High Performance Time Series Database
System TFlash

... When are time series used.
... Systems that provide it.
... Our system TFlash is on the average x times faster than other
systems on their benchmarks.
We explore the reasons for the speed.

We then explain that we take the Aquery expression because it is simple
and natural. Then we show the effectiveness of the optimizations by showing
the benchmarks with and without.

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Mon Feb 29 02:31:14 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Fwd: SIGMOD Demos 2016: Paper 75 Decision
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... Dear Jose,

Professor,

I was hoping we might be able to chat a bit further about this in person.

... We could discuss in person by skype now as I'm still in Brazil
or Thursday evening.
However, I think the email may be enough.

After some design planning, I'm concerned that successfully implementing a
parallel version of AQuery will potentially take much more time than what
remains in the school year, based on my experiences with this project over
the past year. This is at least partially due to various design decisions I
took while implementing the current version.

While a project of this scale is certainly exciting, I want to ensure that
I give you a realistic sense of how far I can get this project by
graduation. In particular, I don't want to leave a partially finished
project that might be tricky to hand off from an implementation standpoint.

With all this in mind, I've proposed a few options below that I think could
help meaningfully move forward the work we've already done by the time I
graduate:

- polish the journal paper (sans parallelism)

... I just don't think we'll get in.
We'd always get the same complaint.

- clean up the existing AQuery code and document it to make a future
parallel implementation much more feasible

... I would say do this for starters regardless
and then do the parallel optimizations in q code.
For example, the simple cases that can use peach, do in aquery.
The complex ones (e.g. an assuming over some non-partitioned attribute),
just call a sort routine that is implemented in q and then come back
the aquery level. Also, you don't have to implement every idea I mentioned.

- explore a different project with you

Regarding the last suggestion, I've enjoyed the AQuery work greatly, but
would also be interested in exploring your other projects (for example, the
network project we briefly discussed last semester, or perhaps a project
already underway that could use an extra hand). I always enjoy
collaborating with other students, so would definitely be open to
supporting an existing project.

... This is possible if after you do the cleanup, there really
is nothing more to do within the time constraints.

Would you be able to discuss further during research lunch on Tuesday?

Best,
Jose

... Best, Dennis



On Sat, Feb 27, 2016 at 4:01 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

> Dear Jose,
>
> What these two rejects show me is that we have to establish novelty very
> carefully. Naively, I had thought that beating everyone else on their
> benchmarks would be enough. (The MIT folks said they picked you from
> their pile because of my letter and that comment in particular -- at leas=
t
> they had taste:).
> So, for the journal paper, we have to frame things to make the novelty
> clearly rest with the optimizations and parallelism and show result at
> scale
> (still using the same benchmarks).
> We can't use the same name even.
>
> New Optimization Techniques for the High Performance Time Series Database
> System TFlash
>
> ... When are time series used.
> ... Systems that provide it.
> ... Our system TFlash is on the average x times faster than other
> systems on their benchmarks.
> We explore the reasons for the speed.
>
> We then explain that we take the Aquery expression because it is simple
> and natural. Then we show the effectiveness of the optimizations by showi=
ng
> the benchmarks with and without.
>
> Best,
> Dennis
>



--=20
Jose Pablo Cambronero

--001a1135a06c78f5a2052cdda0fa
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<div><br></div><div>I was hoping we might be abl=
e to chat a bit further about this in person.</div><div><br></div><div>Afte=
r some design planning, I&#39;m concerned that successfully implementing a =
parallel version of AQuery will potentially take much more time than what r=
emains in the school year, based on my experiences with this project over t=
he past year. This is at least partially due to various design decisions I =
took while implementing the current version.</div><div><br></div><div>While=
 a project of this scale is certainly exciting, I want to ensure that I giv=
e you a realistic sense of how far I can get this project by graduation. In=
 particular, I don&#39;t want to leave a partially finished project that mi=
ght be tricky to hand off from an implementation standpoint.=C2=A0</div><di=
v><br></div><div>With all this in mind, I&#39;ve proposed a few options bel=
ow that I think could help meaningfully move forward the work we&#39;ve alr=
eady done by the time I graduate:</div><div><br></div><div>- polish the jou=
rnal paper (sans parallelism)</div><div>- clean up the existing AQuery code=
 and document it to make a future parallel implementation much more feasibl=
e</div><div>- explore a different project with you</div><div><br></div><div=
>Regarding the last suggestion, I&#39;ve enjoyed the AQuery work greatly, b=
ut would also be interested in exploring your other projects (for example, =
the network project we briefly discussed last semester, or perhaps a projec=
t already underway that could use an extra hand). I always enjoy collaborat=
ing with other students, so would definitely be open to supporting an exist=
ing project.=C2=A0</div><div><br></div><div>Would you be able to discuss fu=
rther during research lunch on Tuesday?=C2=A0</div><div><br></div><div>Best=
,</div><div>Jos=C3=A9</div><div><br></div><div><br></div><div class=3D"gmai=
l_extra"><br><div class=3D"gmail_quote">On Sat, Feb 27, 2016 at 4:01 AM, De=
nnis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@courant.nyu.edu"=
 target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</span> wrote:<br><blockqu=
ote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left-wid=
th:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-l=
eft:1ex">Dear Jose,<br>
<br>
What these two rejects show me is that we have to establish novelty very ca=
refully. Naively, I had thought that beating everyone else on their<br>
benchmarks would be enough. (The MIT folks said they picked you from<br>
their pile because of my letter and that comment in particular -- at least<=
br>
they had taste:).<br>
So, for the journal paper, we have to frame things to make the novelty<br>
clearly rest with the optimizations and parallelism and show result at scal=
e<br>
(still using the same benchmarks).<br>
We can&#39;t use the same name even.<br>
<br>
New Optimization Techniques for the High Performance Time Series Database<b=
r>
System TFlash<br>
<br>
... When are time series used.<br>
... Systems that provide it.<br>
... Our system TFlash is on the average x times faster than other<br>
systems on their benchmarks.<br>
We explore the reasons for the speed.<br>
<br>
We then explain that we take the Aquery expression because it is simple<br>
and natural. Then we show the effectiveness of the optimizations by showing=
<br>
the benchmarks with and without.<br>
<br>
Best,<br>
Dennis<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div>Jose Pa=
blo Cambronero</div>
</div></div>

--001a1135a06c78f5a2052cdda0fa--

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Date: Wed, 2 Mar 2016 18:50:16 -0500 (EST)
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To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: Fwd: SIGMOD Demos 2016: Paper 75 Decision
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Dear Jose,

Wonderful. Thanks for that.

Please start with the natural ones and then add
the one to do a distributed sort and another for doing the gluing (e.g. what you have to do
if sorted on time and doing a moving average on prices -- you need to glue
from different sites).
Just those.
Best,
Dennis

>From josepablocam@gmail.com  Wed Mar  2 10:43:36 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Wed, 2 Mar 2016 10:42:48 -0500
Subject: Re: Fwd: SIGMOD Demos 2016: Paper 75 Decision
To: Dennis Shasha <shasha@courant.nyu.edu>
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On Tue, Mar 1, 2016 at 8:56 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> Dear Jose,
>
> I really appreciate your maturity in this whole process.
> Frankly, I expected to be accepted at Sigmod, but I knew that the reviews
> would give us helpful feedback (and give you legitimacy in your phd
> applications).
>

Professor,

It has been a great experience, so I have nothing but gratitude for the
project. I hope my prior email didn't communicate otherwise (sometimes
tone/message can get a bit muddled via email). AQuery has given me many
things to be grateful for: the learning experience was phenomenal, the
process of writing the papers (with your guidance through it) was
invaluable, regardless of whether or not the papers were accepted. The
conference acceptances would have been a cherry on top, but I have
certainly already received my investment back in orders of magnitude. So I
wanted to make sure I communicated my gratitude clearly.

A large part of my desire to make sure I hand off this project
successfully, is that I think other students might similarly have a
positive experience from working on it and pushing further the groundwork
that I had the privilege of starting.


If we can build a useful system that shows new optimizations in the
> distributed
> case, I think we'll have a very good shot at a very strong journal (TODS)=
.
> As you clean up, please think about decomposing the optimizations into
> easy (figure out which queries can be transformed without repartitioning
> or sorting) and which are difficult (which queries require distributed
> sorting
> or gluing (where the latter comes up in a moving average))
> and just invent operations for the difficult one and have rules on
> how to apply them.
>

I will do my best to do this. So I should focus on the more difficult
transformations? (just wanted to confirm)

Thanks again!

Best,

Jos=C3=A9



>
> Best,
> Dennis
>
>


--=20
Jose Pablo Cambronero

--001a113ff6ea44237a052d12be59
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Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><br><div class=3D"gmail_extra"><br><div class=3D"gmail_quo=
te">On Tue, Mar 1, 2016 at 8:56 PM, Dennis Shasha <span dir=3D"ltr">&lt;<a =
href=3D"mailto:shasha@courant.nyu.edu" target=3D"_blank">shasha@courant.nyu=
.edu</a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"ma=
rgin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
Dear Jose,<br>
<br>
I really appreciate your maturity in this whole process.<br>
Frankly, I expected to be accepted at Sigmod, but I knew that the reviews<b=
r>
would give us helpful feedback (and give you legitimacy in your phd<br>
applications).<br></blockquote><div><br></div><div>Professor,</div><div><br=
></div><div>It has been a great experience, so I have nothing but gratitude=
 for the project. I hope my prior email didn&#39;t communicate otherwise (s=
ometimes tone/message can get a bit muddled via email). AQuery has given me=
 many things to be grateful for: the learning experience was phenomenal, th=
e process of writing the papers (with your guidance through it) was invalua=
ble, regardless of whether or not the papers were accepted. The conference =
acceptances would have been a cherry on top, but I have certainly already r=
eceived my investment back in orders of magnitude. So I wanted to make sure=
 I communicated my gratitude clearly.</div><div><br></div><div>A large part=
 of my desire to make sure I hand off this project successfully, is that I =
think other students might similarly have a positive experience from workin=
g on it and pushing further the groundwork that I had the privilege of star=
ting.</div><div><br></div><div><br></div><blockquote class=3D"gmail_quote" =
style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
If we can build a useful system that shows new optimizations in the distrib=
uted<br>
case, I think we&#39;ll have a very good shot at a very strong journal (TOD=
S).<br>
As you clean up, please think about decomposing the optimizations into<br>
easy (figure out which queries can be transformed without repartitioning<br=
>
or sorting) and which are difficult (which queries require distributed sort=
ing<br>
or gluing (where the latter comes up in a moving average))<br>
and just invent operations for the difficult one and have rules on<br>
how to apply them.<br></blockquote><div><br></div><div>I will do my best to=
 do this. So I should focus on the more difficult transformations? (just wa=
nted to confirm)</div><div><br></div><div>Thanks again!</div><div><br></div=
><div>Best,</div><div><br></div><div>Jos=C3=A9</div><div><br></div><div>=C2=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;borde=
r-left:1px #ccc solid;padding-left:1ex">
<br>
Best,<br>
Dennis<br>
<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature">Jose Pablo Cambronero</div>
</div></div>

--001a113ff6ea44237a052d12be59--

From shasha@crunchy12.cims.nyu.edu  Mon Mar 14 20:23:08 2016
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Date: Mon, 14 Mar 2016 20:23:05 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
Message-Id: <201603150023.u2F0N5ZQ029690@crunchy12.cims.nyu.edu>
To: josepablocam@gmail.com, shasha@courant.nyu.edu
Subject: Re: plan request
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... Dear Jose,

Professor,

Sorry about the delayed response. As I had mentioned, I'm down in Mexico
for Spring Break, and it turns out I have sparser internet access than I
had expected.

... Hmm. I had thought you were going to Boston.

I have been thinking about what fundamental operations we need to implement
in order to successfully have a parallel q library (which AQuery can then
call, as discussed), so I can start working on these in q.

I believe all the cases we had discussed can be reduced to the operations
detailed below.

*Some important data structures:*
- order-dependent list of processes:
         - in contrast to something like Spark, the order of processes is
relevant (and reflects the sorting to some extent)
         - this can simplify certain operations, for example, a reverse of
a column reduces to reversing the process handles and then a reverse within
each process (which can be done in parallel)

... Yes, but we'll have to take the indexes of the reversed ones as well,
so we can do something like a[< b]

*Key Operations*
- *Shuffle* (name borrowed from Spark): multiple-process to
multiple-process data transfer.
    Some examples of cases that reduce to shuffle are:
      - cross-partition grouping: shuffle data s.t. no group is split
across processes

... Yes.

      - cross-partition sorting: shuffle data s.t. consecutive data is in
the same process (and consecutive process handles contain consecutive data)

... Yes.

... cross-partition movement based on indexes (like a[<b])

      - join: if we only consider equijoins (which might be a reasonable
simplification for a first-cut version), this becomes  a shuffle on join
key values, and then join within a process (this of course assumes that all
the observations for a single join key value in the two tables fit in 1
process)

... Yes, that's fine for the first pass.

      - I believe the shuffle can be further broken down into a virtual
shuffle
      and a physical shuffle:
        *- Virtua*l: Each process gets assigned a series of selections that
can be made directly from the data on disk (no data is communicated):
           - This is effectively repartitioning
            e.g. select sum(volume) from t group by ticker (data
partitioned on disk by month)
              - becomes:
                 // scan to find unique groups (in master process)
                 tickers:exec ticker from select distinct ticker from t
                 // farm out a portion of tickers to each worker process
                 {select sum volume by ticker from t where ticker in x}
peach (num of processes) cut tickers

... Here it would be so much better to compute the local
ticker, sum of local volume value and then send all these partial results
to other sites map-reduce style. 
Maybe that's what you mean.

        *- Physical*: Traditional shuffle of data (used for intermediate
results or operations that don't directly reduce to an selection from disk)

... Right.

*- Feed-Forward*: Initially this seems related to shuffle, but the main
distinctions are that the communication is between consecutive processes
(holding consecutive portions of the data, as per the sorting) and that we
share a partially computed set of values (e.g. running sum values)

... I don't think we have to be sequential for the common associative
and commutative aggregates because we can compute partial sums and then
put them together. e.g. sums(salaries) can be done in parallel on
different processes and then glued together with one more pass.
This is how carry-lookahead algorithms work.

*- Map-Reduce of aggregations:* For commutative and associative operations
(nothing much to detail here)

*- Edge data extension: *This can arguably be reduced to a shuffle (between
adjacent processes) of the data needed for the window aggregates, but the
communication is certainly simplified versus the general shuffle

... Yes and this will be very new.

In general, the straightforward execution using these "primitives" won't
necessarily be optimal, but I think it gives us the tools necessary to
construct better plans.

... Yes, yes!

Let me know what you think of these (perhaps they can be further reduced to
more fundamental operations).

... repartition by sort, repartition by group, 
repartition by index, edge data extension,
carry-lookahead style aggregation (as in the sums example),

Best,

Jose

PS. MIT visit went really well. I think that is going to be the place, but
still ironing out some stuff with Rebecca

... Good choice. I think it would be great to have a paper in this area
too. Just a data point: when I was a grad student, my primary
work was in concurrent data structures, but I also wrote a paper
on temporal verification of ethernet protocols that started
a whole little subfield (partly because my co-author was Amir Pnueli
who won a Turing Award later:).

... Best, Dennis

From shasha@crunchy12.cims.nyu.edu  Sun Mar 20 19:49:17 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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---- Dear Jose,

Both :) Boston for school visit and then came down to Mexico for
spring break. Sorry about the sparse responses. The internet situation
was pretty dire in some of the small hotels we stayed at.

---- No problem. Potentially a lot of time to recharge.


>
> I have been thinking about what fundamental operations we need to implement
> in order to successfully have a parallel q library (which AQuery can then
> call, as discussed), so I can start working on these in q.
>
> I believe all the cases we had discussed can be reduced to the operations
> detailed below.
>
> *Some important data structures:*
> - order-dependent list of processes:
>          - in contrast to something like Spark, the order of processes is
> relevant (and reflects the sorting to some extent)
>          - this can simplify certain operations, for example, a reverse of
> a column reduces to reversing the process handles and then a reverse within
> each process (which can be done in parallel)
>
> ... Yes, but we'll have to take the indexes of the reversed ones as well,
> so we can do something like a[< b]
>
> *Key Operations*
> - *Shuffle* (name borrowed from Spark): multiple-process to
> multiple-process data transfer.
>     Some examples of cases that reduce to shuffle are:
>       - cross-partition grouping: shuffle data s.t. no group is split
> across processes
>
> ... Yes.
>
>       - cross-partition sorting: shuffle data s.t. consecutive data is in
> the same process (and consecutive process handles contain consecutive data)
>
> ... Yes.
>
> ... cross-partition movement based on indexes (like a[<b])
>
>       - join: if we only consider equijoins (which might be a reasonable
> simplification for a first-cut version), this becomes  a shuffle on join
> key values, and then join within a process (this of course assumes that all
> the observations for a single join key value in the two tables fit in 1
> process)
>
> ... Yes, that's fine for the first pass.
>
>       - I believe the shuffle can be further broken down into a virtual
> shuffle
>       and a physical shuffle:
>         *- Virtua*l: Each process gets assigned a series of selections that
> can be made directly from the data on disk (no data is communicated):
>            - This is effectively repartitioning
>             e.g. select sum(volume) from t group by ticker (data
> partitioned on disk by month)
>               - becomes:
>                  // scan to find unique groups (in master process)
>                  tickers:exec ticker from select distinct ticker from t
>                  // farm out a portion of tickers to each worker process
>                  {select sum volume by ticker from t where ticker in x}
> peach (num of processes) cut tickers
>
> ... Here it would be so much better to compute the local
> ticker, sum of local volume value and then send all these partial results
> to other sites map-reduce style.
> Maybe that's what you mean.

Sorry, that is not what I meant, but I can see that your approach
makes a ton more sense. Perhaps I chose a poor example. I was trying
to come up with an example that avoids data communication beyond
selection clauses. Perhaps this one is not a primitive...

--- Which one is not primitive? The local sums (or other
associative ops)  and then map-reduce
might be a primitive.

>
>         *- Physical*: Traditional shuffle of data (used for intermediate
> results or operations that don't directly reduce to an selection from disk)
>
> ... Right.
>
> *- Feed-Forward*: Initially this seems related to shuffle, but the main
> distinctions are that the communication is between consecutive processes
> (holding consecutive portions of the data, as per the sorting) and that we
> share a partially computed set of values (e.g. running sum values)
>
> ... I don't think we have to be sequential for the common associative
> and commutative aggregates because we can compute partial sums and then
> put them together. e.g. sums(salaries) can be done in parallel on
> different processes and then glued together with one more pass.
> This is how carry-lookahead algorithms work.

Right, that makes sense. I think this type of operation can then be
generally thought of as an order-dependent map-reduce, where the
reducer is a scan (and accumulate).

--- Yes, yes!

>
> *- Map-Reduce of aggregations:* For commutative and associative operations
> (nothing much to detail here)
>
> *- Edge data extension: *This can arguably be reduced to a shuffle (between
> adjacent processes) of the data needed for the window aggregates, but the
> communication is certainly simplified versus the general shuffle
>
> ... Yes and this will be very new.
>
> In general, the straightforward execution using these "primitives" won't
> necessarily be optimal, but I think it gives us the tools necessary to
> construct better plans.
>
> ... Yes, yes!
>
> Let me know what you think of these (perhaps they can be further reduced to
> more fundamental operations).
>
> ... repartition by sort, repartition by group,
> repartition by index, edge data extension,
> carry-lookahead style aggregation (as in the sums example),
>
Do you mind detailing what repartition by index would look like? My
initial thoughts are that since some indices depend on data layout on
disk, that these indices are inherently tied to the original
partitioning of the data (by month etc), and repartitioning would
(possibly) invalidate indices. Am I wrong on this point?


---- You are absolutely right. So the goal would be to use those
indexes before you lose them.

--- Repartition by index would be a kind of map-reduce thing, so if
I'm doing a[< b] and |b| (= |a|) equals N and there are k nodes,
then the a values corresponding to b sort indexes 0 ... k-1 would
go to node 0, k .. 2k-1 would go to node 1, etc.
This could be done in some many-to-many communication pattern as in
map-reduce.

--- Best, Dennis

From shasha@cims.nyu.edu  Tue Mar 22 22:25:33 2016
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Date: Tue, 22 Mar 2016 22:25:31 -0400
Subject: Re: Parallel q library
From: shasha@cims.nyu.edu
To: =?utf-8?B?Ikpvc8OpIFBhYmxvIENhbWJyb25lcm8i?= <josepablocam@gmail.com>
Cc: "Dennis Shasha" <shasha@courant.nyu.edu>
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... Dear Jose,

On Tue, March 22, 2016 8:49 pm, José Pablo Cambronero wrote:
> Professor,
>
> I've begun implementing the library that we discussed.
>
> The setup I am currently envisioning is:
> - a master process (which the user interacts with)
> - a series of worker processes

... Seems reasonable.

>
> The master has connections to all worker processes, and all worker
> processes are connected amongst each other. The first of these is required
> in order to distribute instructions, the second is required in order to
> allow workers to communicate data between each other without having to go
> through the master (to avoid bottle necks there).

... Sure.

>
> Each worker has a simple table that stores any intermediate results
> necessary.
>
> q's built-in peach
>
> {some function} peach list_of_args
>
> is not quite what we need (at least as far as I can tell). It distributes
> the execution of a subset of list_of_args to each process (asynchronously)
> and then blocks for the overall result.

... Right.

>
> The way I've currently written this instead is: each process gets a copy
> of
> an instruction, asynchronously, and we then block on the overall results
> (so the total number of "tasks" is equal to the number of worker
> processes...which seems naive, but simplified some things)

... Does that work for the global sort, the edge extension, the carry
lookahead style aggregations? I think so, but could you affirmatively
confirm.

>
> Any inter-worker communication is done synchronously to avoid deadlocks.
>
> I have a sketch of the edge extension (which I thought might be an
> interesting one to take a stab at first), the general idea is:
>  - each process identifies what process is before and after it in the
> sorted list of worker processes
>  - it then requests the appropriate edge of data from those processes
>  - it adds the edges to the original table (in the appropriate order)
>  - executes the query that needed the edges
>  - drops the additional data not needed for results

... I like it, but I don't think the process needs both sides, just
the previous one. Not the next one.

>
> I haven't tested the edge extension yet though fyi.
>
> Best,
>
> José

... Best, Dennis
>
> --
> Jose Pablo Cambronero
>


From shasha@crunchy12.cims.nyu.edu  Wed Mar 23 19:06:25 2016
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Date: Wed, 23 Mar 2016 19:06:23 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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To: josepablocam@gmail.com, shasha@cims.nyu.edu
Subject: Re: Parallel q library
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Dear Jose,

For distributed sorting, the following should work on say k processes.
Pick k -1 separators and put all values below the ith separator
onto process i and the remaining ones on process k.
The way you find the separators is simple: each site chooses k separators,
All k^2 separators are sent sorted to the master.
The master merges them and finds the kth element in the sort, the 2kth etc.

Best,
Dennis

P.S. One other operation is the general reorganizing operator where based
on some criterion, each site sends small records to other sites.

From shasha@crunchy12.cims.nyu.edu  Tue Mar 29 20:49:49 2016
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Date: Tue, 29 Mar 2016 20:49:47 -0400 (EDT)
From: Dennis Shasha <shasha@courant.nyu.edu>
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Subject: next steps
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Dear Jose,

Once the basic primitives are in place, the higher level components
should change in a systematic way.
Sort order will remain important and resorting will be more expensive,
but delaying sorts according to the rules we have will still hold.
Moving aggregates will be taken care of by the lower level operators (the
edge operators).

It really might not be that bad.


Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Thu Mar 31 19:46:40 2016
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Date: Thu, 31 Mar 2016 19:46:39 -0400 (EDT)
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Dear Jose,
This looks good. My one concern is that this might mean that while the process
waits for IO or a redistribution, no other process can do anything.
Is that the intent?
It might not be necessary because a redistribution doesn't have to be
destructive.

Best,
dennis

From shasha@crunchy12.cims.nyu.edu  Fri Apr  8 18:33:54 2016
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Subject: Re: Update on Parallel AQuery
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... Dear Jose,

Professor,

I added distributed sorting (using the shuffle primitive) and
edge-operation primitive to the library.  The examples have been updated
accordingly.

Distributed sorting is implemented as we discussed: given k worker processe=
s
  - Each processes puts forward k observations (currently picked randomly)

... Why not sort them (which will be helpful later because each
recipient site can use merge sort) and give the k-1 separators that
best separate that sorted list.

  - The master process collects all k observations and sorts them
  - The reference observations are distributed in sorted fashion to each
process
    so that each process can tag their data with the appropriate
destination for each
    of the main data observations
  - The master process issues a shuffle request, where each process
requests the data
    across all workers that has been tagged with their name (in the prior
step)

... Please make sure you can handle the x[<y] case in which case you'll
send the x with the y.

Query 5 is starting to approximate more realistic queries. In this case it
performs a distributed sort based on 2 (floating point) columns, and then
calculates a size-4 window moving average and moving sum of 2 columns.

My current work goals are:
1 - Finish up library this week (a bit later than I had expected)

... Great.

2 - Set up a realistic set of queries with the library (I hope to use this
to validate the library api before trying to start translation into it)

... I think it can be the sybase queries.


3 - Once (2) is done, working on the aquery translator to reformulate
queries into the distributed library calls.

... Cool. Best, Dennis



Best,

Jose Pablo Cambronero

From shasha@crunchy12.cims.nyu.edu  Sun Apr 10 21:17:57 2016
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,,,, Dear Jose,

>
> ... Dear Jose,
>
> Professor,
>
> I added distributed sorting (using the shuffle primitive) and
> edge-operation primitive to the library.  The examples have been updated
> accordingly.
>
> Distributed sorting is implemented as we discussed: given k worker
> processe=
> s
>   - Each processes puts forward k observations (currently picked randomly)
>
> ... Why not sort them (which will be helpful later because each
> recipient site can use merge sort) and give the k-1 separators that
> best separate that sorted list.
>

That makes sense. When combining the results from other processes at a
given process j,
I've been appending and using q's sorting function (colums xasc ....). The
sorting with this is indeed faster when
the 2 sublists(/tables) are sorted, and it is stable, but I'm not 100% if
it is implementing merge-sort under the covers.

,,, I don't know either, but Arthur is very clever in his sorts.


>
>   - The master process collects all k observations and sorts them
>   - The reference observations are distributed in sorted fashion to each
> process
>     so that each process can tag their data with the appropriate
> destination for each
>     of the main data observations
>   - The master process issues a shuffle request, where each process
> requests the data
>     across all workers that has been tagged with their name (in the prior
> step)
>
> ... Please make sure you can handle the x[<y] case in which case you'll
> send the x with the y.


Sorry, just some clarifying questions to make sure I understand:

In the non-distributed setting , y is a list of values, and <y results in a
list of indices that
when applied to x will sort x by y.

,,, Correct.

Now in a distributed setting, if y is still a list of indices that
can be applied to result in a sorted table, it seems to me that to
calculate the list of indices to begin with, we'd
end up doing the process of distributed sorting described above. Am I
perhaps thinking about this wrong?

,,, No, that's correct. I just want to be sure, you handle this.

the implementation right now is roughly
sort: function to obtain sorted data
read: function to read data from process
write: function to write data in process

distributed-sort(sort, read, write), which calls read whenever it needs to
get data, applies sort whenever it needs to order observations, and write
to store those results as appropriate.

Since sort is a function, I can in theory send anything I want simply by
wrapping it as a closure and sending it via IPC, so I believe this handles
all cases (the comment above notwithstanding).

,,, So to do x[<y], you would send (x,y) pairs based on the sort
separators on y. Is that what this closure means here?

,,, Best, Dennis

From josepablocam@gmail.com  Thu Jun  9 12:38:37 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Thu, 9 Jun 2016 12:37:46 -0400
Message-ID: <CALMO8xY_SuUo_iHnhh_pbxRYRt46xnHTxx+yO7veuq6H9Q==XQ@mail.gmail.com>
Subject: Re: talk went very well
To: Dennis Shasha <shasha@courant.nyu.edu>
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Professor,

I've gone ahead and made the changes discussed. I thought the best way to
provide this info was to extend the README on the project's github site
significantly. I added installation instructions, demo instructions, basic
grammar and examples. Let me know if you think this could use further
additions/changes.


https://github.com/josepablocam/aquery2q

I plan to have the updated video tomorrow, in which case I will add that as
a link in the README as wll.

Best,

Jos=C3=A9

On Wed, Jun 8, 2016 at 1:23 PM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
> Beautiful. The hiccups were my fault.
> Best,
> Dennis
>
> From josepablocam@gmail.com  Wed Jun  8 12:18:27 2016
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> From: =3D?UTF-8?Q?Jos=3DC3=3DA9_Pablo_Cambronero?=3D <josepablocam@gmail.=
com>
> Date: Wed, 8 Jun 2016 12:17:41 -0400
> Subject: Re: talk went very well
> To: Dennis Shasha <shasha@courant.nyu.edu>
> Cc: shasha@cs.nyu.edu
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>
> Professor,
>
> I'm very happy to hear the talk went well! I apologize again about those
> last-minute hiccups.
>
> I can certainly do this. I'm running some errands right now (taking cat t=
o
> vet kind of things), but can put this together between this evening and
> tomorrow morning. I'll shoot it over as soon as available.
>
> Best,
>
> Jos=3DC3=3DA9
>
> On Wed, Jun 8, 2016 at 4:43 AM, Dennis Shasha <shasha@courant.nyu.edu>
> wrote:
>
> >
> > Dear Jose,
> > There are already requests for the current sequential
> > version on Macs.
> > Could you put together a version with a README that explicitly
> > talks about downloading q and where to get it etc.
> > how to install, which directories to go to,
> > and which contains a description of the language through examples
> > and then through a backus-naur form?
> > Warm Regards,
> > Dennis
> >
>
>
>
> --=3D20
> Jose Pablo Cambronero
>
> --001a113db6da707f760534c6a7dd
> Content-Type: text/html; charset=3DUTF-8
> Content-Transfer-Encoding: quoted-printable
>
> <div dir=3D3D"ltr">Professor,<div><br></div><div>I&#39;m very happy to he=
ar
> t=3D
> he talk went well! I apologize again about those last-minute
> hiccups.</div>=3D
> <div><br></div><div>I can certainly do this. I&#39;m running some errands
> r=3D
> ight now (taking cat to vet kind of things), but can put this together
> betw=3D
> een this evening and tomorrow morning. I&#39;ll shoot it over as soon as
> av=3D
>
> ailable.</div><div><br></div><div>Best,</div><div><br></div><div>Jos=3DC3=
=3DA9<=3D
> /div></div><div class=3D3D"gmail_extra"><br><div class=3D3D"gmail_quote">=
On
> Wed=3D
> , Jun 8, 2016 at 4:43 AM, Dennis Shasha <span dir=3D3D"ltr">&lt;<a
> href=3D3D"ma=3D
> ilto:shasha@courant.nyu.edu" target=3D3D"_blank">shasha@courant.nyu.edu
> </a>&g=3D
> t;</span> wrote:<br><blockquote class=3D3D"gmail_quote" style=3D3D"margin=
:0 0
> 0=3D
>  .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
> Dear Jose,<br>
> There are already requests for the current sequential<br>
> version on Macs.<br>
> Could you put together a version with a README that explicitly<br>
> talks about downloading q and where to get it etc.<br>
> how to install, which directories to go to,<br>
> and which contains a description of the language through examples<br>
> and then through a backus-naur form?<br>
> Warm Regards,<br>
> Dennis<br>
> </blockquote></div><br><br clear=3D3D"all"><div><br></div>-- <br><div cla=
ss=3D
> =3D3D"gmail_signature" data-smartmail=3D3D"gmail_signature">Jose Pablo
> Cambrone=3D
> ro</div>
> </div>
>
> --001a113db6da707f760534c6a7dd--
>
>


--=20
Jose Pablo Cambronero

--94eb2c0b60402522dd0534db0d09
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<div dir=3D"ltr">Professor,<div><br></div><div>I&#39;ve gone ahead and made=
 the changes discussed. I thought the best way to provide this info was to =
extend the README on the project&#39;s github site</div><div>significantly.=
 I added installation instructions, demo instructions, basic grammar and ex=
amples. Let me know if you think this could use further additions/changes.<=
/div><div><br></div><div><br></div><div><a href=3D"https://github.com/josep=
ablocam/aquery2q">https://github.com/josepablocam/aquery2q</a><br></div><di=
v><br></div><div>I plan to have the updated video tomorrow, in which case I=
 will add that as a link in the README as wll.</div><div><br></div><div>Bes=
t,</div><div><br></div><div>Jos=C3=A9</div></div><div class=3D"gmail_extra"=
><br><div class=3D"gmail_quote">On Wed, Jun 8, 2016 at 1:23 PM, Dennis Shas=
ha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@courant.nyu.edu" target=
=3D"_blank">shasha@courant.nyu.edu</a>&gt;</span> wrote:<br><blockquote cla=
ss=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;pa=
dding-left:1ex"><br>
Beautiful. The hiccups were my fault.<br>
Best,<br>
Dennis<br>
<br>
>From <a href=3D"mailto:josepablocam@gmail.com">josepablocam@gmail.com</a>=
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From: =3D?UTF-8?Q?Jos=3DC3=3DA9_Pablo_Cambronero?=3D &lt;<a href=3D"mailto:=
josepablocam@gmail.com">josepablocam@gmail.com</a>&gt;<br>
Date: Wed, 8 Jun 2016 12:17:41 -0400<br>
Subject: Re: talk went very well<br>
To: Dennis Shasha &lt;<a href=3D"mailto:shasha@courant.nyu.edu">shasha@cour=
ant.nyu.edu</a>&gt;<br>
Cc: <a href=3D"mailto:shasha@cs.nyu.edu">shasha@cs.nyu.edu</a><br>
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<span class=3D""><br>
Professor,<br>
<br>
I&#39;m very happy to hear the talk went well! I apologize again about thos=
e<br>
last-minute hiccups.<br>
<br>
I can certainly do this. I&#39;m running some errands right now (taking cat=
 to<br>
vet kind of things), but can put this together between this evening and<br>
tomorrow morning. I&#39;ll shoot it over as soon as available.<br>
<br>
Best,<br>
<br>
</span>Jos=3DC3=3DA9<br>
<span class=3D""><br>
On Wed, Jun 8, 2016 at 4:43 AM, Dennis Shasha &lt;<a href=3D"mailto:shasha@=
courant.nyu.edu">shasha@courant.nyu.edu</a>&gt;<br>
wrote:<br>
<br>
&gt;<br>
&gt; Dear Jose,<br>
&gt; There are already requests for the current sequential<br>
&gt; version on Macs.<br>
&gt; Could you put together a version with a README that explicitly<br>
&gt; talks about downloading q and where to get it etc.<br>
&gt; how to install, which directories to go to,<br>
&gt; and which contains a description of the language through examples<br>
&gt; and then through a backus-naur form?<br>
&gt; Warm Regards,<br>
&gt; Dennis<br>
&gt;<br>
<br>
<br>
<br>
</span>--=3D20<br>
Jose Pablo Cambronero<br>
<br>
--001a113db6da707f760534c6a7dd<br>
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<br>
&lt;div dir=3D3D&quot;ltr&quot;&gt;Professor,&lt;div&gt;&lt;br&gt;&lt;/div&=
gt;&lt;div&gt;I&amp;#39;m very happy to hear t=3D<br>
he talk went well! I apologize again about those last-minute hiccups.&lt;/d=
iv&gt;=3D<br>
&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;I can certainly do this. I&amp;=
#39;m running some errands r=3D<br>
ight now (taking cat to vet kind of things), but can put this together betw=
=3D<br>
een this evening and tomorrow morning. I&amp;#39;ll shoot it over as soon a=
s av=3D<br>
ailable.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Best,&lt;/d=
iv&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Jos=3DC3=3DA9&lt;=3D<br>
/div&gt;&lt;/div&gt;&lt;div class=3D3D&quot;gmail_extra&quot;&gt;&lt;br&gt;=
&lt;div class=3D3D&quot;gmail_quote&quot;&gt;On Wed=3D<br>
, Jun 8, 2016 at 4:43 AM, Dennis Shasha &lt;span dir=3D3D&quot;ltr&quot;&gt=
;&amp;lt;&lt;a href=3D3D&quot;ma=3D<br>
<a href=3D"mailto:ilto%3Ashasha@courant.nyu.edu">ilto:shasha@courant.nyu.ed=
u</a>&quot; target=3D3D&quot;_blank&quot;&gt;<a href=3D"mailto:shasha@coura=
nt.nyu.edu">shasha@courant.nyu.edu</a>&lt;/a&gt;&amp;g=3D<br>
t;&lt;/span&gt; wrote:&lt;br&gt;&lt;blockquote class=3D3D&quot;gmail_quote&=
quot; style=3D3D&quot;margin:0 0 0=3D<br>
=C2=A0.8ex;border-left:1px #ccc solid;padding-left:1ex&quot;&gt;&lt;br&gt;<=
br>
Dear Jose,&lt;br&gt;<br>
There are already requests for the current sequential&lt;br&gt;<br>
version on Macs.&lt;br&gt;<br>
Could you put together a version with a README that explicitly&lt;br&gt;<br=
>
talks about downloading q and where to get it etc.&lt;br&gt;<br>
how to install, which directories to go to,&lt;br&gt;<br>
and which contains a description of the language through examples&lt;br&gt;=
<br>
and then through a backus-naur form?&lt;br&gt;<br>
Warm Regards,&lt;br&gt;<br>
Dennis&lt;br&gt;<br>
&lt;/blockquote&gt;&lt;/div&gt;&lt;br&gt;&lt;br clear=3D3D&quot;all&quot;&g=
t;&lt;div&gt;&lt;br&gt;&lt;/div&gt;-- &lt;br&gt;&lt;div class=3D<br>
=3D3D&quot;gmail_signature&quot; data-smartmail=3D3D&quot;gmail_signature&q=
uot;&gt;Jose Pablo Cambrone=3D<br>
ro&lt;/div&gt;<br>
&lt;/div&gt;<br>
<br>
--001a113db6da707f760534c6a7dd--<br>
<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div>

--94eb2c0b60402522dd0534db0d09--

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Date: Fri, 10 Jun 2016 10:03:22 -0400
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Dear Jose,
A colleague here does some research on the growth of plants.
He would like to do some processing in space and time.
He has a notion of a node which is a branching part of the plant.
Nodes can grow.
So the basic (not real, but good enough for our purposes) schema is:
// fixedplant(Nodeid,Plantid,Birthtime,Parent)
// timeplant(Nodeid,Time,Size)

As you can see, nodes have parents.
I would like a fast way to produce the ancestors of a node and
the descendants based on the fixedplant arrable.

I think that if you make the basic structure a keyed structure on node id
then you should be able to iteratively do this until a fixed point
using inner joins.
It is important to remove duplicates.
My q is rusty, but yours is great.
This is a purely sequential application.

Warm Regards,
Dennis

http://cs.nyu.edu/cs/faculty/shasha/papers/plantstuff_forjose.zip

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Dear Jose,
The video is great. Especially after 2 minutes 4 seconds when the typeface becomes
much clearer. No need to redo the earlier part I don't think unless super-easy.

For the writeup, it's generally great. A few nits:

1. Please include the with statement until the basic examples.

2. Please include (if available) the possibility to create a table from a select clause.

3. In the user-defined function section, please include (if possible):

a. a discussion of the intended semantics, the inputs of user defined functions
are entire columns but one can take one value at a time with an each.

b. show an example of user defined functions on unflattened data
where the user-defined function takes one row at a time (e.g. to compute the 
average value of each time series in each row).

c. show an example of user defined functions on unflattened data
where the user-defined function takes entire columns at a time (e.g.
to compute a new table consisting of the averages of the time series
of each group).
So we have 

indiv group  timeseries

1     A       1, 2, 3, 4
2     A       2, 2, 4, 8
3     B       10, 20, 30, 40
4     B       20, 20, 40, 80

and get

group   avgtimeseries
A       1.5, 2, 3.5, 6
B       15, 20, 35, 60

Best,
Dennis

From shasha@crunchy12.cims.nyu.edu  Sat Jul 16 00:40:24 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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Date: Sat, 16 Jul 2016 00:40:17 -0400
To: zoumpatianos@disi.unitn.eu, themis@mi.parisdescartes.fr, shasha@cs.nyu.edu
Subject: Re: pointers to time series work
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... Dear Themis,


Hi Shasha,

I am really glad we met; we ended up exchanging so many ideas!

Please remember to send me the code for the:
1. A-query system
2. time series sketches index
3. fintime(?) benchmark

... Here is the description of the benchmark.
http://cs.nyu.edu/shasha/fintime.html

Following our discussion, I took a look at your uncooperative
series paper, and given that the sketches idea is a
probabilistic approach, it is not fair to compare it to exact
solutions. We would nevertheless be interested in using it!

... Sax is also approximate. You'll see with Djamel.
He has the latest code.

Please find below pointers to our work on time series, driven
by my student, Kostas (in cc):
- adaptive indexing
- query workload generator for similarity search queries

We are of course open to comments/questions.

Thanks,
Themis


adaptive data series indexing
-----------------------------
Ads+ is an adaptive index that can start answering queries
before the entire index is built (the link also includes a
video of the system).

Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas. Indexing for 
Interactive Exploration of Big Data Series. SIGMOD 2014
<http://daslab.seas.harvard.edu/rinse/>

... Cool. 


data series query benchmark
---------------------------
This paper describes how to properly generate data series
queries; this is the only benchmark available.

Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke. Query 
Workloads for Data-Series Indexes. KDD 2015
<http://disi.unitn.it/~zoumpatianos/edq/>

... Also cool.

... Best, Dennis

From shasha@crunchy12.cims.nyu.edu  Sat Jul 16 00:40:24 2016
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From: Dennis Shasha <shasha@courant.nyu.edu>
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Date: Sat, 16 Jul 2016 00:40:17 -0400
To: zoumpatianos@disi.unitn.eu, themis@mi.parisdescartes.fr, shasha@cs.nyu.edu
Subject: Re: pointers to time series work
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... Dear Themis,


Hi Shasha,

I am really glad we met; we ended up exchanging so many ideas!

Please remember to send me the code for the:
1. A-query system
2. time series sketches index
3. fintime(?) benchmark

... Here is the description of the benchmark.
http://cs.nyu.edu/shasha/fintime.html

Following our discussion, I took a look at your uncooperative
series paper, and given that the sketches idea is a
probabilistic approach, it is not fair to compare it to exact
solutions. We would nevertheless be interested in using it!

... Sax is also approximate. You'll see with Djamel.
He has the latest code.

Please find below pointers to our work on time series, driven
by my student, Kostas (in cc):
- adaptive indexing
- query workload generator for similarity search queries

We are of course open to comments/questions.

Thanks,
Themis


adaptive data series indexing
-----------------------------
Ads+ is an adaptive index that can start answering queries
before the entire index is built (the link also includes a
video of the system).

Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas. Indexing for 
Interactive Exploration of Big Data Series. SIGMOD 2014
<http://daslab.seas.harvard.edu/rinse/>

... Cool. 


data series query benchmark
---------------------------
This paper describes how to properly generate data series
queries; this is the only benchmark available.

Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke. Query 
Workloads for Data-Series Indexes. KDD 2015
<http://disi.unitn.it/~zoumpatianos/edq/>

... Also cool.

... Best, Dennis

From josepablocam@gmail.com  Sat Jul 16 14:55:32 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Sat, 16 Jul 2016 11:55:23 -0700
Message-ID: <CALMO8xZtAFhfZE9kn_uXYHP0mpo24g3vwdq=nRjrVLwM_U8sqg@mail.gmail.com>
Subject: Re: pointers to time series work
To: Dennis Shasha <shasha@courant.nyu.edu>
Cc: zoumpatianos@disi.unitn.eu, themis@mi.parisdescartes.fr, shasha@cs.nyu.edu
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Dr. Palpanas,

The best place to get the current working version of AQuery is on the
project's github page, found below

https://github.com/josepablocam/aquery2q

The README shows a step-by-step for installation and usage. Please don't
hesitate to reach out if you have any questions or run into any issues.

On a related note, in addition to working on the parallel version (as Dr.
Shasha mentioned before), we're also actively rewriting the project in
Scala. If you're interested in digging into the source code, I would
recommend checking out the Scala version, which has been thoroughly
documented with scaladoc comments.

That rewrite (which is still in progress) can be found at
https://github.com/josepablocam/aquery

Best,

Jos=C3=A9

On Sat, Jul 16, 2016 at 12:47 AM, Dennis Shasha <shasha@courant.nyu.edu>
wrote:

>
>
> Dear Jose,
> Please send a link to a working Aquery to those on the list.
> Themis, Jose is sending you a sequential system just so you can try it.
> We are working actively on the parallel version.
> Warm Regards,
> Dennis
>
> P.S. http://cs.nyu.edu/cs/faculty/shasha/papers/aquery_presentation.pdf
> is an overview
>



--=20
Jose Pablo Cambronero

--94eb2c07ccee1d796b0537c5473d
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<div dir=3D"ltr">Dr. Palpanas,<div><br></div><div>The best place to get the=
 current working version of AQuery is on the project&#39;s github page, fou=
nd below</div><div><br></div><div><a href=3D"https://github.com/josepabloca=
m/aquery2q" target=3D"_blank">https://github.com/josepablocam/aquery2q</a><=
br></div><div><br></div><div>The README shows a step-by-step for installati=
on and usage. Please don&#39;t hesitate to reach out if you have any questi=
ons or run into any issues.=C2=A0</div><div><br></div><div>On a related not=
e, in addition to working on the parallel version (as Dr. Shasha mentioned =
before), we&#39;re also actively rewriting the project in Scala. If you&#39=
;re interested in digging into the source code, I would recommend checking =
out the Scala version, which has been thoroughly documented with scaladoc c=
omments.</div><div><br></div><div>That rewrite (which is still in progress)=
 can be found at=C2=A0<a href=3D"https://github.com/josepablocam/aquery" ta=
rget=3D"_blank">https://github.com/josepablocam/aquery</a></div><div><br></=
div><div>Best,</div><div><br></div><div>Jos=C3=A9</div><div class=3D"gmail_=
extra"><br><div class=3D"gmail_quote">On Sat, Jul 16, 2016 at 12:47 AM, Den=
nis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@courant.nyu.edu" =
target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</span> wrote:<br><blockquo=
te class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc so=
lid;padding-left:1ex"><br>
<br>
Dear Jose,<br>
Please send a link to a working Aquery to those on the list.<br>
Themis, Jose is sending you a sequential system just so you can try it.<br>
We are working actively on the parallel version.<br>
Warm Regards,<br>
Dennis<br>
<br>
P.S. <a href=3D"http://cs.nyu.edu/cs/faculty/shasha/papers/aquery_presentat=
ion.pdf" rel=3D"noreferrer" target=3D"_blank">http://cs.nyu.edu/cs/faculty/=
shasha/papers/aquery_presentation.pdf</a><br>
is an overview<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div data-sm=
artmail=3D"gmail_signature">Jose Pablo Cambronero</div>
</div></div>

--94eb2c07ccee1d796b0537c5473d--

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Tue, 19 Jul 2016 18:04:10 -0600
Message-ID: <CALMO8xbxvKUdr8HOkXazXrnnsPz+36QfZUMyMVe1sraA72wgig@mail.gmail.com>
Subject: Re: Fwd: Extending the Q interpreter
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: simon@kx.com, Dennis Shasha <shasha@courant.nyu.edu>
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Professor,

Thank you for the kind words.

Simon,

It is nice to meet you (at least via email for now). As Dr. Shasha said,
we've been working on extending some of the original AQuery work. Our
implementation performs rewrites of the AST, to find optimization
opportunities, and generates q code in the backend, to allow for execution
on your excellent platform.

The current working version is available here
<https://github.com/josepablocam/aquery2q>. We've been taking advantage of
the summer for two particular improvements/extensions:

1 - A parallel implementation of AQuery: we've written a simple q library
that is meant to allow queries over datasets distributed in memory across
multiple q processes, so it performs operations like distributed sorts,
distributed joins, amongst others. That can be found here
<https://github.com/josepablocam/aquery2q/blob/parallel/src/parallel/parall=
el.q>.
The end-goal is to have users write "sequential looking" AQuery code and
translate that into calls into the library.

2 - A Scala rewrite of the AQuery translator: this is still not quite done
for the sequential AQuery version (so if you want to actually use it, the
C-based project is the only way for now), but should be done soon. I
actually just pushed the basic optimizer here
<https://github.com/josepablocam/aquery/blob/master/src/main/scala/edu/nyu/=
aquery/optimization/BasicOptimizer.scala>.
We've leveraged pattern matching and partial functions to easily implement
the optimizations as composable rewrites (here
<https://symfun.wordpress.com/2016/07/13/aquery-rewrites-through-partial-fu=
nctions/>
is a blog post that might provides a simple example of how we do this).

To the extent that you have any questions/comments/feedback, I'd love to
continue the conversation.

Best,

Jos=C3=A9


On Mon, Jul 18, 2016 at 2:17 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Dear Simon,
> Alex is heavily into bioinformatics now, but we do have some really
> interesting advances
> in query languages and (possibly) optimization that continues the aquery
> work from way back when.
> I'm copying the excellent student who is doing this work.
> Warm Regards,
> Dennis
>
> Simon Garland <simon@kx.com> wrote:
>
> > Hi Dennis,
> >
> > are you still in touch with Alexander? and did his research lead anywhe=
re
> > interesting?
> >
> > with hardware advances and setlling_downs it looks like it=E2=80=99s an=
 area
> where
> > we can begin to consider doing a bit more than back in 2009
> >
> > ---------- Forwarded message ----------
> > From: Alexander Rubinsteyn <ar1738@nyu.edu>
> > Date: 23 December 2009 at 05:12
> > Subject: Re: Extending the Q interpreter
> > To: Charles Skelton <charlie@kx.com>
> > Cc: Simon Garland <simon@kx.com>
> >
> >
> > Thank you very much for the info. We're probably going to stick with
> > preprocessing Q code for now, as it seems to afford us a little more
> > flexibility. Still, it's nice to know we have other options in the
> future.
> >
> > Unrelated: Is there some way I can get an academic license for Q? Getti=
ng
> > kicked out of my interpreter session can be tedious (which I guess is t=
he
> > point).
> >
> >
> > Thank you,
> > Alex
> >
> > ----- Original Message -----
> > From: Charles Skelton <charlie@kx.com>
> > Date: Monday, December 21, 2009 8:50 am
> > Subject: Re: Extending the Q interpreter
> > To: Alexander Rubinsteyn <ar1738@nyu.edu>
> > Cc: Simon Garland <simon@kx.com>
> >
> >
> > > Hi Alex,
> > >
> > > Here are some details. Please don't make public, and these are subjec=
t
> > > to change without notice...
> > >
> > > This snippet of code shows a short example of how to hook into and
> > > override primitive calls, selectively for some types, chaining to the
> > > original function if your code does not handle that mix of types.
> > >
> > > We've had encouraging feedback from clients who have offloaded some o=
f
> > > these primitives to GPUs.
> > >
> > > p2 - array of fn pointers to dyads
> > > p1 - array of fn pointers to monads
> > >
> > > to get the offsets into p1 or p2 use
> > >
> > > q)value (+)
> > > 1
> > > q)value(*)
> > > 3
> > >
> > > ph $ more a.c
> > > // f:`a 2:(`f;1)
> > >
> > > #include"k.h"
> > > typedef K(*FK)();
> > > extern FK p2[];
> > >
> > > FK origSum;
> > > K mySum(K x,K y)
> > > {
> > >     printf("My sum\n");
> > >     if(x->t=3D=3D-6 && y->t=3D=3D-6)
> > >         R ki(x->i+y->i);
> > >     R origSum(x,y);
> > > }
> > >
> > > K f(K x){
> > >     origSum=3Dp2[1];
> > >     p2[1]=3DmySum;
> > >     return ki(0);
> > > }
> > >
> > > q)1+2
> > > My sum
> > > 3
> > > q)2 3 4+1 2 3
> > > My sum
> > > 3 5 7
> > >
> > > Hope this helps,
> > > Charlie
> > >
> > > On Mon, Dec 21, 2009 at 2:30 PM, Simon Garland <simon@kx.com> wrote:
> > > > Alex,
> > > >
> > > > I'm cc'ing Charlie Skelton who can better explain what we've made
> > > available so far for testing.
> > > >
> > > > what he put in so far was an interface to allow you to over-ride q
> > > primitives like "+"
> > > > so a bit a license to shoot yourself in the foot
> > > >
> > > > the big proviso is that this way of extending q is something we've
> > > made available to a coupe of interested customers to try out
> > > > it may never make it to a production release - or may turn up in a
> > > completely different form
> > > > I'm not sure what consequences that would have for you
> > > > (don't know if you're developing something you hope to turn
> commercial)
> > > >
> > > > /Simon
> > > >
> > > > On 13.12.2009, at 08:16, Alexander Rubinsteyn wrote:
> > > >
> > > >> Hi Simon,
> > > >>
> > > >> I'm a Ph.D. student at NYU working with Eric Hielscher under Denni=
s
> > > Shasha. We are trying to dynamically compile Q code to run on the GPU=
.
> > > We've ended up reimplementing more of Q than we're comfortable with
> > > and would rather reuse the existing Q runtime for non-parallelizable
> > > code. Is the client interface for kdb+ sufficient for doing this? It'=
s
> > > not clear to me whether sending/receiving data via a client involves
> > > data copying. Also, Dennis mentioned that you will be (in the future)
> > > making the K/Q interpreter "extensible", but he wasn't exactly clear
> > > on what that means. Will you add hooks that allow us to selectively
> > > execute parts of a Q program using our compiler? If so, can you tell
> > > me more about the approach?
> > > >>
> > > >> Thanks for any insights,
> > > >>
> > > >> Alex
> > > >
> > > > Simon Garland / Kx / +41 81 330 3170 / simon@kx.com / http://kx.com
> > > >
> > > >
>
>


--=20
Jose Pablo Cambronero

--001a113ec784361e74053805f30e
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Professor,<div><br></div><div>Thank you for the kind words=
.</div><div><br></div><div>Simon,</div><div><br></div><div>It is nice to me=
et you (at least via email for now). As Dr. Shasha said, we&#39;ve been wor=
king on extending some of the original AQuery work. Our implementation perf=
orms rewrites of the AST, to find optimization opportunities, and generates=
 q code in the backend, to allow for execution on your excellent platform.=
=C2=A0</div><div><br></div><div>The current working version is available <a=
 href=3D"https://github.com/josepablocam/aquery2q">here</a>. We&#39;ve been=
 taking advantage of the summer for two particular improvements/extensions:=
</div><div><br></div><div>1 - A parallel implementation of AQuery: we&#39;v=
e written a simple q library that is meant to allow queries over datasets d=
istributed in memory across multiple q processes, so it performs operations=
 like distributed sorts, distributed joins, amongst others. That can be fou=
nd <a href=3D"https://github.com/josepablocam/aquery2q/blob/parallel/src/pa=
rallel/parallel.q">here</a>. The end-goal is to have users write &quot;sequ=
ential looking&quot; AQuery code and translate that into calls into the lib=
rary.</div><div><br></div><div>2 - A Scala rewrite of the AQuery translator=
: this is still not quite done for the sequential AQuery version (so if you=
 want to actually use it, the C-based project is the only way for now), but=
 should be done soon. I actually just pushed the basic optimizer <a href=3D=
"https://github.com/josepablocam/aquery/blob/master/src/main/scala/edu/nyu/=
aquery/optimization/BasicOptimizer.scala">here</a>. We&#39;ve leveraged pat=
tern matching and partial functions to easily implement the optimizations a=
s composable rewrites (<a href=3D"https://symfun.wordpress.com/2016/07/13/a=
query-rewrites-through-partial-functions/">here</a> is a blog post that mig=
ht provides a simple example of how we do this).</div><div><br></div><div>T=
o the extent that you have any questions/comments/feedback, I&#39;d love to=
 continue the conversation.</div><div><br></div><div>Best,</div><div><br></=
div><div>Jos=C3=A9</div><div><br></div></div><div class=3D"gmail_extra"><br=
><div class=3D"gmail_quote">On Mon, Jul 18, 2016 at 2:17 AM, Dennis Shasha =
<span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cims.nyu.edu" target=3D"_bla=
nk">shasha@cims.nyu.edu</a>&gt;</span> wrote:<br><blockquote class=3D"gmail=
_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:=
1ex">Dear Simon,<br>
Alex is heavily into bioinformatics now, but we do have some really interes=
ting advances<br>
in query languages and (possibly) optimization that continues the aquery wo=
rk from way back when.<br>
I&#39;m copying the excellent student who is doing this work.<br>
Warm Regards,<br>
Dennis<br>
<br>
Simon Garland &lt;<a href=3D"mailto:simon@kx.com">simon@kx.com</a>&gt; wrot=
e:<br>
<br>
&gt; Hi Dennis,<br>
&gt;<br>
&gt; are you still in touch with Alexander? and did his research lead anywh=
ere<br>
&gt; interesting?<br>
&gt;<br>
&gt; with hardware advances and setlling_downs it looks like it=E2=80=99s a=
n area where<br>
&gt; we can begin to consider doing a bit more than back in 2009<br>
&gt;<br>
&gt; ---------- Forwarded message ----------<br>
&gt; From: Alexander Rubinsteyn &lt;<a href=3D"mailto:ar1738@nyu.edu">ar173=
8@nyu.edu</a>&gt;<br>
&gt; Date: 23 December 2009 at 05:12<br>
&gt; Subject: Re: Extending the Q interpreter<br>
&gt; To: Charles Skelton &lt;<a href=3D"mailto:charlie@kx.com">charlie@kx.c=
om</a>&gt;<br>
&gt; Cc: Simon Garland &lt;<a href=3D"mailto:simon@kx.com">simon@kx.com</a>=
&gt;<br>
&gt;<br>
&gt;<br>
&gt; Thank you very much for the info. We&#39;re probably going to stick wi=
th<br>
&gt; preprocessing Q code for now, as it seems to afford us a little more<b=
r>
&gt; flexibility. Still, it&#39;s nice to know we have other options in the=
 future.<br>
&gt;<br>
&gt; Unrelated: Is there some way I can get an academic license for Q? Gett=
ing<br>
&gt; kicked out of my interpreter session can be tedious (which I guess is =
the<br>
&gt; point).<br>
&gt;<br>
&gt;<br>
&gt; Thank you,<br>
&gt; Alex<br>
&gt;<br>
&gt; ----- Original Message -----<br>
&gt; From: Charles Skelton &lt;<a href=3D"mailto:charlie@kx.com">charlie@kx=
.com</a>&gt;<br>
&gt; Date: Monday, December 21, 2009 8:50 am<br>
&gt; Subject: Re: Extending the Q interpreter<br>
&gt; To: Alexander Rubinsteyn &lt;<a href=3D"mailto:ar1738@nyu.edu">ar1738@=
nyu.edu</a>&gt;<br>
&gt; Cc: Simon Garland &lt;<a href=3D"mailto:simon@kx.com">simon@kx.com</a>=
&gt;<br>
&gt;<br>
&gt;<br>
&gt; &gt; Hi Alex,<br>
&gt; &gt;<br>
&gt; &gt; Here are some details. Please don&#39;t make public, and these ar=
e subject<br>
&gt; &gt; to change without notice...<br>
&gt; &gt;<br>
&gt; &gt; This snippet of code shows a short example of how to hook into an=
d<br>
&gt; &gt; override primitive calls, selectively for some types, chaining to=
 the<br>
&gt; &gt; original function if your code does not handle that mix of types.=
<br>
&gt; &gt;<br>
&gt; &gt; We&#39;ve had encouraging feedback from clients who have offloade=
d some of<br>
&gt; &gt; these primitives to GPUs.<br>
&gt; &gt;<br>
&gt; &gt; p2 - array of fn pointers to dyads<br>
&gt; &gt; p1 - array of fn pointers to monads<br>
&gt; &gt;<br>
&gt; &gt; to get the offsets into p1 or p2 use<br>
&gt; &gt;<br>
&gt; &gt; q)value (+)<br>
&gt; &gt; 1<br>
&gt; &gt; q)value(*)<br>
&gt; &gt; 3<br>
&gt; &gt;<br>
&gt; &gt; ph $ more a.c<br>
&gt; &gt; // f:`a 2:(`f;1)<br>
&gt; &gt;<br>
&gt; &gt; #include&quot;k.h&quot;<br>
&gt; &gt; typedef K(*FK)();<br>
&gt; &gt; extern FK p2[];<br>
&gt; &gt;<br>
&gt; &gt; FK origSum;<br>
&gt; &gt; K mySum(K x,K y)<br>
&gt; &gt; {<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0printf(&quot;My sum\n&quot;);<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0if(x-&gt;t=3D=3D-6 &amp;&amp; y-&gt;t=3D=3D-6)=
<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0R ki(x-&gt;i+y-&gt;i);<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0R origSum(x,y);<br>
&gt; &gt; }<br>
&gt; &gt;<br>
&gt; &gt; K f(K x){<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0origSum=3Dp2[1];<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0p2[1]=3DmySum;<br>
&gt; &gt;=C2=A0 =C2=A0 =C2=A0return ki(0);<br>
&gt; &gt; }<br>
&gt; &gt;<br>
&gt; &gt; q)1+2<br>
&gt; &gt; My sum<br>
&gt; &gt; 3<br>
&gt; &gt; q)2 3 4+1 2 3<br>
&gt; &gt; My sum<br>
&gt; &gt; 3 5 7<br>
&gt; &gt;<br>
&gt; &gt; Hope this helps,<br>
&gt; &gt; Charlie<br>
&gt; &gt;<br>
&gt; &gt; On Mon, Dec 21, 2009 at 2:30 PM, Simon Garland &lt;<a href=3D"mai=
lto:simon@kx.com">simon@kx.com</a>&gt; wrote:<br>
&gt; &gt; &gt; Alex,<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; I&#39;m cc&#39;ing Charlie Skelton who can better explain wh=
at we&#39;ve made<br>
&gt; &gt; available so far for testing.<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; what he put in so far was an interface to allow you to over-=
ride q<br>
&gt; &gt; primitives like &quot;+&quot;<br>
&gt; &gt; &gt; so a bit a license to shoot yourself in the foot<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; the big proviso is that this way of extending q is something=
 we&#39;ve<br>
&gt; &gt; made available to a coupe of interested customers to try out<br>
&gt; &gt; &gt; it may never make it to a production release - or may turn u=
p in a<br>
&gt; &gt; completely different form<br>
&gt; &gt; &gt; I&#39;m not sure what consequences that would have for you<b=
r>
&gt; &gt; &gt; (don&#39;t know if you&#39;re developing something you hope =
to turn commercial)<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; /Simon<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; On 13.12.2009, at 08:16, Alexander Rubinsteyn wrote:<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt;&gt; Hi Simon,<br>
&gt; &gt; &gt;&gt;<br>
&gt; &gt; &gt;&gt; I&#39;m a Ph.D. student at NYU working with Eric Hielsch=
er under Dennis<br>
&gt; &gt; Shasha. We are trying to dynamically compile Q code to run on the=
 GPU.<br>
&gt; &gt; We&#39;ve ended up reimplementing more of Q than we&#39;re comfor=
table with<br>
&gt; &gt; and would rather reuse the existing Q runtime for non-paralleliza=
ble<br>
&gt; &gt; code. Is the client interface for kdb+ sufficient for doing this?=
 It&#39;s<br>
&gt; &gt; not clear to me whether sending/receiving data via a client invol=
ves<br>
&gt; &gt; data copying. Also, Dennis mentioned that you will be (in the fut=
ure)<br>
&gt; &gt; making the K/Q interpreter &quot;extensible&quot;, but he wasn&#3=
9;t exactly clear<br>
&gt; &gt; on what that means. Will you add hooks that allow us to selective=
ly<br>
&gt; &gt; execute parts of a Q program using our compiler? If so, can you t=
ell<br>
&gt; &gt; me more about the approach?<br>
&gt; &gt; &gt;&gt;<br>
&gt; &gt; &gt;&gt; Thanks for any insights,<br>
&gt; &gt; &gt;&gt;<br>
&gt; &gt; &gt;&gt; Alex<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; Simon Garland / Kx / <a href=3D"tel:%2B41%2081%20330%203170"=
 value=3D"+41813303170">+41 81 330 3170</a> / <a href=3D"mailto:simon@kx.co=
m">simon@kx.com</a> / <a href=3D"http://kx.com" rel=3D"noreferrer" target=
=3D"_blank">http://kx.com</a><br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt;<br>
<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div>

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Thu, 21 Jul 2016 19:35:59 -0600
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Subject: Re: getting to know
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: jgkogan@icloud.com, jkogan18@cgps.org
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Jonathan,

It is a pleasure to meet you! I'm very glad to hear you're starting out on
an exciting project that can take advantage of AQuery.

In terms of useful readings/background, I would suggest:

- some basic SQL: If you've never written SQL queries, I would suggest just
taking a look online. There are a ton of tutorials. Just get a sense of the
standard clauses. Don't worry about order clauses, since in AQuery that is
handled differently (and better :))

- The current project's README on github
<https://github.com/josepablocam/aquery2q>: this will provide you with the
necessary installation steps and some basic examples

 - getting some sense of q/kdb+  <https://kx.com/documentation.php>: this
is the execution engine for AQuery. The translator generates q code, and
you can write verbatim q code in AQuery, so getting a sense (no need to
become an expert though) is always helpful. It will help you understand the
code generated and any runtime errors diagnosed (the code generated is run
by a q interpreter, so some of these errors are just not something we can
catch at translation time)

- (Extra) fintime benchmarks
<https://github.com/josepablocam/aquery2q/blob/master/src/benchmark/fintime=
/src/experiments>:
We wrote a series of queries from a financial analysis benchmark in AQuery
(and other systems). This might be something you can take a look at, if
you're interested in seeing some standard AQuery code and its counterparts
in other languages. Any file in the link above with the name definitions_*
is an implementation of the queries

As Dr. Shasha mentioned, I'm working on a new release of the project, which
we're moving from C to Scala. The new code is very readable, so if you're
ever interested in looking at the internals of AQuery, the Scala repository
<https://github.com/josepablocam/aquery>is the place to go. It is well
documented.

For now, stick to the original AQuery (first link above), but I'll give you
a heads up when the new one is out, at which point you should switch over.
>From the user perspective, everything should remain the same, so it
shouldn't affect your workflow.

Please feel free to reach out with any questions/issues/suggestions. Any
feedback you, as a user have, is extremely helpful for us.

Best,

Jos=C3=A9



On Thu, Jul 21, 2016 at 8:10 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

>
> Dear Jonathan, Dear Jose,
>
> Jonathan, Jose is the developer and main designer of Aquery.
> He has a new version coming out in a couple of days.
> He will let you know when it's ready.
>
> Jose, please tell Jonathan what he should read now to get up
> to speed about Aquery.
>
> Thanks,
> Dennis
>



--=20
Jose Pablo Cambronero

--001a11425aa041666005382f7756
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Jonathan,<div><br></div><div>It is a pleasure to meet you!=
 I&#39;m very glad to hear you&#39;re starting out on an exciting project t=
hat can take advantage of AQuery.</div><div><br></div><div>In terms of usef=
ul readings/background, I would suggest:</div><div><br></div><div>- some ba=
sic SQL: If you&#39;ve never written SQL queries, I would suggest just taki=
ng a look online. There are a ton of tutorials. Just get a sense of the sta=
ndard clauses. Don&#39;t worry about order clauses, since in AQuery that is=
 handled differently (and better :))<br></div><div><br></div><div><div>- Th=
e current project&#39;s README on=C2=A0<a href=3D"https://github.com/josepa=
blocam/aquery2q">github</a>: this will provide you with the necessary insta=
llation steps and some basic examples</div></div><div><br></div><div>=C2=A0=
- getting some sense of <a href=3D"https://kx.com/documentation.php">q/kdb+=
=C2=A0</a>: this is the execution engine for AQuery. The translator generat=
es q code, and you can write verbatim q code in AQuery, so getting a sense =
(no need to become an expert though) is always helpful. It will help you un=
derstand the code generated and any runtime errors diagnosed (the code gene=
rated is run by a q interpreter, so some of these errors are just not somet=
hing we can catch at translation time)</div><div><br></div><div>- (Extra) <=
a href=3D"https://github.com/josepablocam/aquery2q/blob/master/src/benchmar=
k/fintime/src/experiments">fintime benchmarks</a>: We wrote a series of que=
ries from a financial analysis benchmark in AQuery (and other systems). Thi=
s might be something you can take a look at, if you&#39;re interested in se=
eing some standard AQuery code and its counterparts in other languages. Any=
 file in the link above with the name definitions_* is an implementation of=
 the queries</div><div><br></div><div>As Dr. Shasha mentioned, I&#39;m work=
ing on a new release of the project, which we&#39;re moving from C to Scala=
. The new code is very readable, so if you&#39;re ever interested in lookin=
g at the internals of AQuery, the <a href=3D"https://github.com/josepabloca=
m/aquery">Scala repository </a>is the place to go. It is well documented.</=
div><div><br></div><div>For now, stick to the original AQuery (first link a=
bove), but I&#39;ll give you a heads up when the new one is out, at which p=
oint you should switch over. From the user perspective, everything should r=
emain the same, so it shouldn&#39;t affect your workflow.</div><div><br></d=
iv><div>Please feel free to reach out with any questions/issues/suggestions=
. Any feedback you, as a user have, is extremely helpful for us.</div><div>=
<br></div><div>Best,</div><div><br></div><div>Jos=C3=A9</div><div><br></div=
><div><br></div></div><div class=3D"gmail_extra"><br><div class=3D"gmail_qu=
ote">On Thu, Jul 21, 2016 at 8:10 AM, Dennis Shasha <span dir=3D"ltr">&lt;<=
a href=3D"mailto:shasha@cims.nyu.edu" target=3D"_blank">shasha@cims.nyu.edu=
</a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin=
:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
Dear Jonathan, Dear Jose,<br>
<br>
Jonathan, Jose is the developer and main designer of Aquery.<br>
He has a new version coming out in a couple of days.<br>
He will let you know when it&#39;s ready.<br>
<br>
Jose, please tell Jonathan what he should read now to get up<br>
to speed about Aquery.<br>
<br>
Thanks,<br>
Dennis<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div>

--001a11425aa041666005382f7756--

From josepablocam@gmail.com  Thu Jul 28 23:59:19 2016

Professor,

I've pushed the sequential code generator to a separate branch in the
repository.
<https://github.com/josepablocam/aquery/blob/code_gen/src/main/scala/edu/ny=
u/aquery/codegen/KdbGenerator.scala>
I'm working towards finalizing the tests (hopefully tomorrow), at which
point I'll merge the generator into the main branch and that finalizes our
scala rewrite of the existing aquery implementation.

I'm quite happy with the code generator. It is significantly cleaner and
easier to follow. Additionally, we've implemented it in a fully functional
way (encapsulating any side effects in a state monad), so testing it is
easy and modular. I've been reading functional programming in scala
<https://www.manning.com/books/functional-programming-in-scala>, which has
turned out to be super helpful for this rewrite.

Best,

Jos=C3=A9

From josepablocam@gmail.com  Sun Jul 31 02:34:20 2016

Professor,

I've merged the code generation branch into the main repository.
<https://github.com/josepablocam/aquery>

You can download the jar with the executable from google drive
<https://drive.google.com/open?id=3D0B9IR8VjNetPYbWRIX0x2SEdoUGc> (for
simplicity).

If you'd like to build from source, the steps are:

0 - Copy the github repository
git clone git@github.com:josepablocam/aquery.git
1 - Install sbt <http://www.scala-sbt.org/> (this takes care of every
dependency needed during building)
2 - Make sure you have q in your PATH, as the code generation tests rely on
q to execute the tests (to compare results for correctness purposes)
3 - call assembly in the sbt prompt (this runs tests, compiles code, and
assembles the jar, which is stored in target/scala-2.11)

The old commands still work

So, for example,

java -jar aquery.jar -a 1 -c -o output.q input.a

translates input.a into an optimized q version (and saves it in output.q).

Since there are more command line options now, you can also print the help
message for more info

java -jar aquery.jar -h

[image: Inline image 1]

[image: Inline image 2]

Let me know if you have any issues, or anything that you think should be
changed.

Thank you again for your patience and allowing me to pursue this rewrite. I
think the project is now in a great position to be extended and developed
further.

Best,

Jos=C3=A9


From shasha@cims.nyu.edu  Thu Aug  4 15:21:54 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
Message-Id: <201608041921.u74JLptt015161@linax2.cims.nyu.edu>
Date: Thu, 04 Aug 2016 15:21:51 -0400
To: josepablocam@gmail.com, abby@kx.com
Subject: Re: Meetup?
Cc: shasha@cims.nyu.edu
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Dear Abby,
I've edited in-line.
Best,
Dennis

Abstract:
Dr. Dennis Shasha and his PhD student Jos Pablo Cambronero will
discuss their current research on AQuery. AQuery unifies
the declarative syntax of SQL 92 with the addition
of an ASSUMING ORDER clause, moving aggregates, flatten etc
to achieve the semantics of kdb.
The system includes an optimizer.
AQuery compiles to q.

There are two aspects of this project: (i) AQuery the language and 
the optimizer; and (ii)
Jose will then discuss using q/kdb+ as the execution engine for new
languages. They will  provide a series of helpful dos and don'ts,
tips, etc in the form of a tutorial.

Bios:
Jos Pablo Cambronero is a PhD student in Computer Science at New York
University specializing in XXXXX.
After receiving a degree in economics from the University of
Pennsylvania in 2011 Jos held a number of positions with financial
services and software companies including at Morgan Stanley where he
worked on a fixed income desk for several years. [More info too if you
like]

Bios:
Dennis Shasha is a professor of computer science at the Courant
Institute of Mathematical Sciences, a division of New York University.
Dennis has been associated with Kx Systems since soon after its
founding and has periodically collaborated with Kx inventor Arthur
Whitney since then.
He works with biologists on
pattern discovery for 
network inference; with computational chemists on algorithms for protein design;
with physicists and financial people on algorithms
for time series; on
clocked computation for DNA computing; and on 
computational reproducibility.
Other areas of interest include database
tuning as well as tree and graph matching.
Because he likes to type, he has written
six books of puzzles about a mathematical detective named
Dr. Ecco, a biography about
great computer scientists,
and a book about the future of computing.
He has also written five technical books about database tuning, biological
pattern recognition, time series, DNA computing, resampling statistics, 
and causal inference in molecular networks.
He has written the puzzle column for various
publications including Scientific American, Dr. Dobb's Journal,
and the Communications of the ACM.

From josepablocam@gmail.com  Thu Aug  4 18:17:44 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
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Abby,

some small further edits (in line below)

- I will have just begun my PhD by the time of the meetup, so perhaps it's
best to simply qualify me as a student
- Clarified a bit my work history


On Thu, Aug 4, 2016 at 1:21 PM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Dear Abby,
> I've edited in-line.
> Best,
> Dennis
>
> Abstract:
> Dr. Dennis Shasha and his PhD student Jos=C3=A9 Pablo Cambronero will
> discuss their current research on AQuery. AQuery unifies
> the declarative syntax of SQL 92 with the addition
> of an ASSUMING ORDER clause, moving aggregates, flatten etc
> to achieve the semantics of kdb+.
> The system includes an optimizer.
> AQuery compiles to q.
>
> There are two aspects of this project: (i) AQuery the language and
> the optimizer; and (ii)
> Jose will then discuss using q/kdb+ as the execution engine for new
> languages. They will provide a series of helpful dos and don'ts,
> tips, etc in the form of a tutorial.
>
> Bios:

 Jos=C3=A9 Pablo Cambronero is a recently graduated masters student in
Computer Science at New York University, specializing in programming
languages.
After receiving a degree in economics from the University of
Pennsylvania in 2011, Jos=C3=A9 joined a fixed income research team at Morg=
an
Stanley, where he used q/kdb+ on a daily basis and became excited to learn
more about the field.
   After becoming a graduate student, Jos=C3=A9 has worked as a teaching
assistant in programming languages and compilers. He will begin his
doctoral studies this coming fall, continuing to work in programming
languages.


>
> Bios:
> Dennis Shasha is a professor of computer science at the Courant
> Institute of Mathematical Sciences, a division of New York University.
> Dennis has been associated with Kx Systems since soon after its
> founding and has periodically collaborated with Kx inventor Arthur
> Whitney since then.
> He works with biologists on
> pattern discovery for
> network inference; with computational chemists on algorithms for protein
> design;
> with physicists and financial people on algorithms
> for time series; on
> clocked computation for DNA computing; and on
> computational reproducibility.
> Other areas of interest include database
> tuning as well as tree and graph matching.
> Because he likes to type, he has written
> six books of puzzles about a mathematical detective named
> Dr. Ecco, a biography about
> great computer scientists,
> and a book about the future of computing.
> He has also written five technical books about database tuning, biologica=
l
> pattern recognition, time series, DNA computing, resampling statistics,
> and causal inference in molecular networks.
> He has written the puzzle column for various
> publications including Scientific American, Dr. Dobb's Journal,
> and the Communications of the ACM.
>



--=20
Jose Pablo Cambronero

--001a11434b5624ceba053946510e
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Abby,<div><br></div><div>some small further edits (in line=
 below)</div><div><br></div><div><div>- I will have just begun my PhD by th=
e time of the meetup, so perhaps it&#39;s best to simply qualify me as a st=
udent</div><div>- Clarified a bit my work history</div><div><br></div></div=
><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Thu, Aug 4, 2=
016 at 1:21 PM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shash=
a@cims.nyu.edu" target=3D"_blank">shasha@cims.nyu.edu</a>&gt;</span> wrote:=
<br><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;bor=
der-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,20=
4);padding-left:1ex">Dear Abby,<br>
I&#39;ve edited in-line.<br>
Best,<br>
Dennis<br>
<span class=3D""><br>
Abstract:<br>
Dr. Dennis Shasha and his PhD student Jos=C3=A9 Pablo Cambronero will<br>
</span>discuss their current research on AQuery. AQuery unifies<br>
the declarative syntax of SQL 92 with the addition<br>
of an ASSUMING ORDER clause, moving aggregates, flatten etc<br>
to achieve the semantics of kdb+.<br>
The system includes an optimizer.<br>
AQuery compiles to q.<br>
<br>
There are two aspects of this project: (i) AQuery the language and<br>
the optimizer; and (ii)<br>
Jose will then discuss using q/kdb+ as the execution engine for new<br>
<span class=3D"">languages. They will provide a series of helpful dos and d=
on&#39;ts,<br>
tips, etc in the form of a tutorial.<br>
<br>
Bios:</span></blockquote><div>=C2=A0Jos=C3=A9 Pablo Cambronero is a recentl=
y graduated masters student in</div><div>Computer Science at New York Unive=
rsity, specializing in programming languages.</div><div><div>After receivin=
g a degree in economics from the University of</div><div>Pennsylvania in 20=
11, Jos=C3=A9 joined a fixed income research team at Morgan Stanley, where =
he used q/kdb+ on a daily basis and became excited to learn more about the =
field.</div><div>=C2=A0 =C2=A0After becoming a graduate student, Jos=C3=A9 =
has worked as a teaching assistant in programming languages and compilers. =
He will begin his doctoral studies this coming fall, continuing to work in =
programming languages.</div><div>=C2=A0</div></div><blockquote class=3D"gma=
il_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left-width:1px;border-le=
ft-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><span c=
lass=3D"">
<br>
Bios:<br>
Dennis Shasha is a professor of computer science at the Courant<br>
Institute of Mathematical Sciences, a division of New York University.<br>
Dennis has been associated with Kx Systems since soon after its<br>
founding and has periodically collaborated with Kx inventor Arthur<br>
Whitney since then.<br>
</span>He works with biologists on<br>
pattern discovery for<br>
network inference; with computational chemists on algorithms for protein de=
sign;<br>
with physicists and financial people on algorithms<br>
for time series; on<br>
clocked computation for DNA computing; and on<br>
computational reproducibility.<br>
<span class=3D"">Other areas of interest include database<br>
tuning as well as tree and graph matching.<br>
</span>Because he likes to type, he has written<br>
six books of puzzles about a mathematical detective named<br>
Dr. Ecco, a biography about<br>
great computer scientists,<br>
and a book about the future of computing.<br>
He has also written five technical books about database tuning, biological<=
br>
pattern recognition, time series, DNA computing, resampling statistics,<br>
and causal inference in molecular networks.<br>
He has written the puzzle column for various<br>
publications including Scientific American, Dr. Dobb&#39;s Journal,<br>
and the Communications of the ACM.<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div></div>

--001a11434b5624ceba053946510e--

From shasha@cims.nyu.edu  Wed Aug 10 07:14:28 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
Message-Id: <201608101114.u7ABEONr015371@linax2.cims.nyu.edu>
Date: Wed, 10 Aug 2016 07:14:24 -0400
To: shasha@cims.nyu.edu, josepablocam@gmail.com
Subject: Re: progress request
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... Dear Jose,

Jos Pablo Cambronero <josepablocam@gmail.com> wrote:

> Professor,
>
> That sounds very exciting indeed. I would say that I am certainly
> interested, but to the extent possible, I think I would delay making a
> definitive decision until the semester starts and I get a sense of my
> general time commitments. I would hate to agree to something and then put
> everyone in a bad position by having to back pedal.

... Sure.

>
> In any case, I am certainly excited to continue contributing to AQuery, and
> hopefully at some point also expand the list of contributors. The new
> codebase, in my opinion, makes this quite feasible and should allow rapid
> iteration of improvements to all parts of AQuery.

... You are optimistic about the quality of your fellow man and woman:)

>
> Some near-term improvements I have in mind, beyond the parallel work of
> course:
>   - improving function order-analysis to properly capture mutually
> recursive functions

... When would they come up?

>   - (tied to the above) insert trampolined tail calls to avoid stack
> overflows
>   - protect users from local variable limits by switching to dictionaries
>   - "embedding" in q interpreter by: attaching .a.e to a function that
> feeds text to external AQuery compiler, returning code, which then has
> `value` applied to it to return an usable q function (I think this beats
> the current python based REPL, as no q server is necessary and we avoid
> data IO).

... And when would this come up?

>
> I have a couple of others, but these are some that are "low-hanging fruit"
> in my opinion.

... I suppose a big one from the user point of view would
be a pure AQuery level debugger for runtime errors.

... I feel though that the sine qua non for now is good performance.
Backus, inventor of Fortran, told us when we interviewed him for
OUt of their Minds that designing Fortran wasn't the hard part.
The hard part was making it perform as well as reasonably programmed assembler.

... Warm Regards, Dennis

>
> Best,
>
> Jos
>
> On Tue, Aug 9, 2016 at 7:52 PM, Dennis Shasha <shasha@cims.nyu.edu> wrote:
>
> > Dear Jose,
> > Excellent. So I have a lunch with the kx CEO on Friday Aug 19.
> > In my view, AQuery could vastly increase the market for q and kdb if we
> > can get performance that is close to the q performance.
> > I would not be surprised if they ask us to support AQuery for a fee.
> > Would this be of interest to you as long as it would be a minimum time
> > affair?
> > Best,
> > Dennis
> >
> > Jos Pablo Cambronero <josepablocam@gmail.com> wrote:
> >
> > > Professor,
> > >
> > > My apologies for the lack of updates. I've been rewriting some of the
> > > parallel operators, but haven't run the necessary tests yet to see if
> > they
> > > shave off enough time and solve the issue we had. I'm hoping to do that
> > > tomorrow and the day after, so I should have a better update then.
> > >
> > > Best,
> > >
> > > Jos
> > >
> > > On Tue, Aug 9, 2016 at 2:57 AM, Dennis Shasha <shasha@cims.nyu.edu>
> > wrote:
> > >
> > > >
> > > > Dear Jose,
> > > > Please tell me how things are going with the parallel tests.
> > > > Best,
> > > > Dennis
> > > >
> > >
> > >
> > >
> > > --
> > > Jose Pablo Cambronero
> >
> >
>
>
> -- 
> Jose Pablo Cambronero

From shasha@cims.nyu.edu  Thu Aug 11 01:34:13 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
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Date: Thu, 11 Aug 2016 01:34:08 -0400
To: shasha@cims.nyu.edu, josepablocam@gmail.com
Subject: Re: progress request
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Dear Jose,
Regarding performance, if we are within a few percent of q for simple queries
that are useful for time series, then that is fine.
If not sequentially then in parallel for large scale, then that
is also great.

For debugging, if there is some way to get back to the runtime
aquery (e.g. just showing the statement where the bug occurred),
that would already be big.

Frankly, the mutual recursion doesn't strike me as a primary issue.

Warm Regards,
Dennis

Jos Pablo Cambronero <josepablocam@gmail.com> wrote:

> On Wed, Aug 10, 2016 at 5:14 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:
>
> > ... Dear Jose,
> >
> > Jos Pablo Cambronero <josepablocam@gmail.com> wrote:
> >
> > > Professor,
> > >
> > > That sounds very exciting indeed. I would say that I am certainly
> > > interested, but to the extent possible, I think I would delay making a
> > > definitive decision until the semester starts and I get a sense of my
> > > general time commitments. I would hate to agree to something and then put
> > > everyone in a bad position by having to back pedal.
> >
> > ... Sure.
> >
> > >
> > > In any case, I am certainly excited to continue contributing to AQuery,
> > and
> > > hopefully at some point also expand the list of contributors. The new
> > > codebase, in my opinion, makes this quite feasible and should allow rapid
> > > iteration of improvements to all parts of AQuery.
> >
> > ... You are optimistic about the quality of your fellow man and woman:)
> >
> > >
> > > Some near-term improvements I have in mind, beyond the parallel work of
> > > course:
> > >   - improving function order-analysis to properly capture mutually
> > > recursive functions
> >
> > ... When would they come up?
> >
>
> I don't have a specific case in mind, but it seemed reasonable to me that a
> user might define mutually recursive UDFs and in that case, we would want
> to appropriately infer their order dependence. Currently these will default
> to conservatively stating they require order.
>
>
> >
> > >   - (tied to the above) insert trampolined tail calls to avoid stack
> > > overflows
> > >   - protect users from local variable limits by switching to dictionaries
> > >   - "embedding" in q interpreter by: attaching .a.e to a function that
> > > feeds text to external AQuery compiler, returning code, which then has
> > > `value` applied to it to return an usable q function (I think this beats
> > > the current python based REPL, as no q server is necessary and we avoid
> > > data IO).
> >
> > ... And when would this come up?
> >
> > This is more from a demo perspective. I think a user would rather simply
> spin up a q process and play with aquery as a "mode" in q
> a) <aquery-code-here>.
>
>
>
> > >
> > > I have a couple of others, but these are some that are "low-hanging
> > fruit"
> > > in my opinion.
> >
> > ... I suppose a big one from the user point of view would
> > be a pure AQuery level debugger for runtime errors.
> >
>
> But the runtime errors would occur on the q end, so perhaps it's a matter
> of combining info from a q debugger (this one is pretty good
> <https://github.com/quintanar401/dbg>) and
> some aquery specific functions.
>
>
>
> >
> > ... I feel though that the sine qua non for now is good performance.
> > Backus, inventor of Fortran, told us when we interviewed him for
> > OUt of their Minds that designing Fortran wasn't the hard part.
> > The hard part was making it perform as well as reasonably programmed
> > assembler.
> >
>
> Right. I definitely think more time could/should be put into making the
> base aquery (not just the parallel version) faster.
>
>
>
> >
> > ... Warm Regards, Dennis
> >
> > >
> > > Best,
> > >
> > > Jos
> > >
> > > On Tue, Aug 9, 2016 at 7:52 PM, Dennis Shasha <shasha@cims.nyu.edu>
> > wrote:
> > >
> > > > Dear Jose,
> > > > Excellent. So I have a lunch with the kx CEO on Friday Aug 19.
> > > > In my view, AQuery could vastly increase the market for q and kdb if we
> > > > can get performance that is close to the q performance.
> > > > I would not be surprised if they ask us to support AQuery for a fee.
> > > > Would this be of interest to you as long as it would be a minimum time
> > > > affair?
> > > > Best,
> > > > Dennis
> > > >
> > > > Jos Pablo Cambronero <josepablocam@gmail.com> wrote:
> > > >
> > > > > Professor,
> > > > >
> > > > > My apologies for the lack of updates. I've been rewriting some of the
> > > > > parallel operators, but haven't run the necessary tests yet to see if
> > > > they
> > > > > shave off enough time and solve the issue we had. I'm hoping to do
> > that
> > > > > tomorrow and the day after, so I should have a better update then.
> > > > >
> > > > > Best,
> > > > >
> > > > > Jos
> > > > >
> > > > > On Tue, Aug 9, 2016 at 2:57 AM, Dennis Shasha <shasha@cims.nyu.edu>
> > > > wrote:
> > > > >
> > > > > >
> > > > > > Dear Jose,
> > > > > > Please tell me how things are going with the parallel tests.
> > > > > > Best,
> > > > > > Dennis
> > > > > >
> > > > >
> > > > >
> > > > >
> > > > > --
> > > > > Jose Pablo Cambronero
> > > >
> > > >
> > >
> > >
> > > --
> > > Jose Pablo Cambronero
> >
> >
>
>
> -- 
> Jose Pablo Cambronero


From shasha@cims.nyu.edu  Sun Aug 28 14:23:05 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
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Date: Sun, 28 Aug 2016 14:23:03 -0400
To: shasha@cs.nyu.edu, alpakr62@gmail.com
Subject: somewhat simpler task
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Dear Alpa,

Please use aquery to enter the data in the example here and to
calculate the VIX value using aquery.

http://www.cboe.com/micro/weeklys/spxweeklys.aspx

Then I will give you historical spx data and we will calculate
that too. If you can do all that, then you will know aquery well enough
for the next step.

Let's aim for completing this in the next three weeks.
Otherwise, I suggest you find someone else to work with.

Warm Regards,
Dennis

From josepablocam@gmail.com  Fri Sep 23 09:54:26 2016
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Fri, 23 Sep 2016 09:53:28 -0400
Message-ID: <CALMO8xavoSYOW7hGoORnSvQ4uTCjnTvnRLqcVe8whUNCHbJBqQ@mail.gmail.com>
Subject: Re: Thanks
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: Fintan Quill <fintan@kx.com>, Abby Gruen <abby@kx.com>
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Fintan,

I've attached here the complete slide deck used.

The sequential AQuery implementation is available here
<https://github.com/josepablocam/aquery>.

Meanwhile, the code for the Orderly (toy language for last night's
tutorial) is available here
<https://github.com/josepablocam/kxmeetup-public>.

Thanks again!

Best,

Jos=C3=A9



On Fri, Sep 23, 2016 at 12:37 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote=
:

> Dear Fintan,
> Sure. Jose has the latest of his slides, so he'll send both his and mine
> as well as the github link for the sequential version of Aquery.
> Warm Regards,
> Dennis
>
> Fintan Quill <fintan@kx.com> wrote:
>
> > Hello Jos=C3=A9/Dennis,
> >
> > Thanks so much for tonight. I think it was great and the audience was
> > clearly very engaged.
> >
> > If possible, can you send on the slides so we can share on the Meetup
> site?
> > Also, please let us know when the code is available on GitHub so we can
> > help promote.
> >
> > Have a nice night.
> >
> > Regards,
> >
> > Fintan Quill | Global Head of Sales Engineering | *Kx* | +1 646-625-315=
8
> |
> > fintan@kx.com
> >
> > On Thu, Sep 22, 2016 at 9:25 PM, Jos=C3=A9 Pablo Cambronero <
> > josepablocam@gmail.com> wrote:
> >
> > > Abby and Fintan,
> > >
> > > Thank you again for having us at the meetup. I enjoyed meeting and
> > > chatting with the community members.
> > >
> > > Best,
> > >
> > > Jos=C3=A9
> > >
>
>
>


--=20
Jose Pablo Cambronero

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<div dir=3D"ltr">Fintan,<div><br></div><div>I&#39;ve attached here the comp=
lete slide deck used.</div><div><br></div><div>The sequential AQuery implem=
entation is available <a href=3D"https://github.com/josepablocam/aquery">he=
re</a>.</div><div><br></div><div>Meanwhile, the code for the Orderly (toy l=
anguage for last night&#39;s tutorial) is available <a href=3D"https://gith=
ub.com/josepablocam/kxmeetup-public">here</a>.</div><div><br></div><div>Tha=
nks again!</div><div><br></div><div>Best,</div><div><br></div><div>Jos=C3=
=A9</div><div><br></div><div><br></div></div><div class=3D"gmail_extra"><br=
><div class=3D"gmail_quote">On Fri, Sep 23, 2016 at 12:37 AM, Dennis Shasha=
 <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cims.nyu.edu" target=3D"_bl=
ank">shasha@cims.nyu.edu</a>&gt;</span> wrote:<br><blockquote class=3D"gmai=
l_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left=
:1ex">Dear Fintan,<br>
Sure. Jose has the latest of his slides, so he&#39;ll send both his and min=
e<br>
as well as the github link for the sequential version of Aquery.<br>
Warm Regards,<br>
Dennis<br>
<span class=3D""><br>
Fintan Quill &lt;<a href=3D"mailto:fintan@kx.com">fintan@kx.com</a>&gt; wro=
te:<br>
<br>
&gt; Hello Jos=C3=A9/Dennis,<br>
&gt;<br>
&gt; Thanks so much for tonight. I think it was great and the audience was<=
br>
&gt; clearly very engaged.<br>
&gt;<br>
&gt; If possible, can you send on the slides so we can share on the Meetup =
site?<br>
&gt; Also, please let us know when the code is available on GitHub so we ca=
n<br>
&gt; help promote.<br>
&gt;<br>
&gt; Have a nice night.<br>
&gt;<br>
&gt; Regards,<br>
&gt;<br>
</span>&gt; Fintan Quill | Global Head of Sales Engineering | *Kx* | <a hre=
f=3D"tel:%2B1%20646-625-3158" value=3D"+16466253158">+1 646-625-3158</a> |<=
br>
<div class=3D"HOEnZb"><div class=3D"h5">&gt; <a href=3D"mailto:fintan@kx.co=
m">fintan@kx.com</a><br>
&gt;<br>
&gt; On Thu, Sep 22, 2016 at 9:25 PM, Jos=C3=A9 Pablo Cambronero &lt;<br>
&gt; <a href=3D"mailto:josepablocam@gmail.com">josepablocam@gmail.com</a>&g=
t; wrote:<br>
&gt;<br>
&gt; &gt; Abby and Fintan,<br>
&gt; &gt;<br>
&gt; &gt; Thank you again for having us at the meetup. I enjoyed meeting an=
d<br>
&gt; &gt; chatting with the community members.<br>
&gt; &gt;<br>
&gt; &gt; Best,<br>
&gt; &gt;<br>
&gt; &gt; Jos=C3=A9<br>
&gt; &gt;<br>
<br>
<br>
</div></div></blockquote></div><br><br clear=3D"all"><div><br></div>-- <br>=
<div class=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pabl=
o Cambronero</div>
</div>

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Fri, 23 Sep 2016 12:20:20 -0400
Message-ID: <CALMO8xYKjMBcdmP+J+wwASveuVoxoQGZFPULUWE16cjy5MTxbQ@mail.gmail.com>
Subject: Re: your parser
To: Stevan Apter <sa@nsl.com>
Cc: Dennis Shasha <shasha@cims.nyu.edu>
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Stevan,

Thank you for sharing. I'll make sure to keep checking on the site then,
for the latest version.

I agree with difficulty of parsing. I also think that is especially true
when the language is still in its nascent phases, and the grammar can
change quite a bit. This has always made me wary of writing a lot of my own
parsing code by hand.

I had actually never heard of the bunda-gerth parsing algorithm. I found
some references online, so I'll give those a look. Thank you!

The main idea behind parser combinators is (simplistically): you can build
up your language's parser out of smaller parsers (presumably for each
grammar rule). The grammar rules themselves can be built out of smaller
parsers for sequences of tokens or union of tokens etc. The downside:
performance is definitely sub-optimal relative to a parser explicitly
written for your language. The upside: you can prototype a language parser
very quickly and its extensibility is huge.

The experience I've had with this has been during work on AQuery
<http://github.com/josepablocam/aquery> with Dennis. We rewrote the
compiler in Scala over the summer. The general idea is it takes a simple
query language (AQuery), transforms the query with various optimizations,
and then generates q code for execution. Currently, I've been working on a
parallel version of the language, but my time has been a bit reduced as I
just started my phd program.

I'm likely to continue involved in the area, as the group I joined is in
programming languages and I have a general interest in combining
programming languages and other areas (particularly databases).

I also play around with small projects (couple of lines of code here or
there around a topic/theme), which I write up on my blog
<https://symfun.wordpress.com/> for fun. But not sure any of the stuff
there right now is particularly relevant.

I'd be very interested in working on a side project around developing
utilities for programming language implementation k/q. Is that something
that you might be interested in?

Best,

Jos=C3=A9


On Fri, Sep 23, 2016 at 10:24 AM, Stevan Apter <sa@nsl.com> wrote:

> hi jose
>
> i've added unbalanced paren/brace/bracket detection and made a few small
> changes elsewhere.
>
> i won't send you further updates, but you can find those here:
> http://www.nsl.com/k/kparse/
>
> parsing is such a hard problem (arthur has said the same thing).  i don't
> know why this is so.
>
> i don't really know anything about parser combinators, although i've hear=
d
> people mention them.
>
> another approach to parsing k-like languages is bunda and gerth's 2x2
> algorithm, which has some very attractive properties, but is much slower
> than the recursive descent method i use in kparse.k.
>
> still another approach, which i used in writing the 1010 expression
> language parser is shift-reduce, which like 2x2 is driven by a table
> expressing precedence relations, but i've never been able to figure out h=
ow
> to apply it to k.
>
> if you have time, can you tell me more about what you're currently doing
> in this area?
>
> best
>
> stevan
>
> On 9/22/16 4:36 PM, Jos=C3=A9 Pablo Cambronero wrote:
>
> Stevan,
>
> Thanks for sharing this! This looks awesome. Particularly the unparse to =
k
> text: you've effectively bundled parsing/code-gen in 1 tool! Very cool.
>
> I'll take a look to see how you're performing the rewrites for things lik=
e
> the unrolling. Are the ways you do that general? i.e. could it be adapted
> to a general pattern matching (perhaps simulating algebraic datatypes wit=
h
> labels and nested lists) and rewrite library for k/q?
>
> Have you ever, by chance, worked on a general parser library in q? I've
> worked with Scala, which has a really nice parser combinator library
> <https://github.com/scala/scala-parser-combinators>, which lets you
> prototype languages really quickly. I've written very few parsers in q, a=
nd
> when I have, it is no where as nice as your code, so I think a library li=
ke
> that would be realllyy nice for encouraging programming language
> development on top of k/q.
>
>
>
>
> On Thu, Sep 22, 2016 at 4:26 PM, Stevan Apter <sa@nsl.com> wrote:
>
>> sure.
>>
>> i haven't finished the documentation (kparse.txt), but i've included tha=
t.
>>
>> the script contains a tokenizer, a parser, an unparser (parse-tree -> k
>> syntax), and a few other useful tools.  once you have the parse-tree
>> there's all kinds of stuff you can do, like simplifying a k expression b=
y
>> unrolling complex expressions.
>>
>> i was particularly pleased (and surprised!) by how powerful _ss and _ssr
>> are, even though they have very limited forms of pattern-matching.  i wa=
s
>> able to pre-process things like numerical expressions so that the state
>> table for the tokenizer was pleasingly small -- not too many classes, no=
t
>> too many states.
>>
>> to do this, i had to write covers for _ss and _ssr to mask out quotation=
s.
>>
>> btw, this is an interesting k exercise -- to identify quotations possibl=
y
>> containing escapes.  (qu and esc).
>>
>> sorry i can't make it tonight - this commuting thing is very wearing, an=
d
>> i find i can manage just two consecutive days, after which my sleep patt=
ern
>> is so disrupted i walk around like a zombie.
>>
>> make sure you get to meet john d'ausilio -- a great friend from
>> millennium, now at 1010, and a very interesting fellow.
>>
>> let's meet at the oyster bar for lunch soon -- any tuesday or wednesday
>> you can get free.  i'm almost always in on those days.
>>
>>
>>
>> On 9/22/16 4:00 PM, Dennis Shasha wrote:
>>
>>> Dear Steve,
>>> Could you resend your parser to Jose and me?
>>> Jose would like to get a community of people together to write parser
>>> tools.
>>> Thanks,
>>> Dennis
>>>
>>>
>>
>
>
> --
> Jose Pablo Cambronero
>
>
>


--=20
Jose Pablo Cambronero

--001a113ed00efcfe62053d2f2968
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Stevan,<div><br></div><div>Thank you for sharing. I&#39;ll=
 make sure to keep checking on the site then, for the latest version.</div>=
<div><br></div><div>I agree with difficulty of parsing. I also think that i=
s especially true when the language is still in its nascent phases, and the=
 grammar can change quite a bit. This has always made me wary of writing a =
lot of my own parsing code by hand.</div><div><br></div><div>I had actually=
 never heard of the bunda-gerth parsing algorithm. I found some references =
online, so I&#39;ll give those a look. Thank you!</div><div><br></div><div>=
The main idea behind parser combinators is (simplistically): you can build =
up your language&#39;s parser out of smaller parsers (presumably for each g=
rammar rule). The grammar rules themselves can be built out of smaller pars=
ers for sequences of tokens or union of tokens etc. The downside: performan=
ce is definitely sub-optimal relative to a parser explicitly written for yo=
ur language. The upside: you can prototype a language parser very quickly a=
nd its extensibility is huge.</div><div><br></div><div>The experience I&#39=
;ve had with this has been during work on <a href=3D"http://github.com/jose=
pablocam/aquery">AQuery</a> with Dennis. We rewrote the compiler in Scala o=
ver the summer. The general idea is it takes a simple query language (AQuer=
y), transforms the query with various optimizations, and then generates q c=
ode for execution. Currently, I&#39;ve been working on a parallel version o=
f the language, but my time has been a bit reduced as I just started my phd=
 program.</div><div><br></div><div>I&#39;m likely to continue involved in t=
he area, as the group I joined is in programming languages and I have a gen=
eral interest in combining programming languages and other areas (particula=
rly databases).</div><div><br></div><div>I also play around with small proj=
ects (couple of lines of code here or there around a topic/theme), which I =
write up on my <a href=3D"https://symfun.wordpress.com/">blog</a>=C2=A0for =
fun. But not sure any of the stuff there right now is particularly relevant=
.</div><div><br></div><div>I&#39;d be very interested in working on a side =
project around developing utilities for programming language implementation=
 k/q. Is that something that you might be interested in?</div><div><br></di=
v><div>Best,</div><div><br></div><div>Jos=C3=A9</div><div><br></div></div><=
div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Fri, Sep 23, 20=
16 at 10:24 AM, Stevan Apter <span dir=3D"ltr">&lt;<a href=3D"mailto:sa@nsl=
.com" target=3D"_blank">sa@nsl.com</a>&gt;</span> wrote:<br><blockquote cla=
ss=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;pa=
dding-left:1ex">
 =20
   =20
 =20
  <div bgcolor=3D"#FFFFFF" text=3D"#000000">
    <font face=3D"Courier New">hi jose<br>
      <br>
      i&#39;ve added unbalanced paren/brace/bracket detection and made a fe=
w
      small changes elsewhere.<br>
      <br>
      i won&#39;t send you further updates, but you can find those here:=C2=
=A0
      <a href=3D"http://www.nsl.com/k/kparse/" target=3D"_blank">http://www=
.nsl.com/k/kparse/</a><br>
      <br>
      parsing is such a hard problem (arthur has said the same thing).=C2=
=A0
      i don&#39;t know why this is so.<br>
      <br>
      i don&#39;t really know anything about parser combinators, although i=
&#39;ve
      heard people mention them.<br>
      <br>
      another approach to parsing k-like languages is bunda and gerth&#39;s
      2x2 algorithm, which has some very attractive properties, but is
      much slower than the recursive descent method i use in kparse.k.<br>
      <br>
      still another approach, which i used in writing the 1010
      expression language parser is shift-reduce, which like 2x2 is
      driven by a table expressing precedence relations, but i&#39;ve never
      been able to figure out how to apply it to k.<br>
      <br>
      if you have time, can you tell me more about what you&#39;re currentl=
y
      doing in this area?<br>
      <br>
      best<span class=3D"HOEnZb"><font color=3D"#888888"><br>
      <br>
      stevan<br>
      =C2=A0=C2=A0 </font></span></font><br><span class=3D"">
    <div>On 9/22/16 4:36 PM, Jos=C3=A9 Pablo
      Cambronero wrote:<br>
    </div>
    </span><div><div class=3D"h5"><blockquote type=3D"cite">
      <div dir=3D"ltr">Stevan,
        <div><br>
        </div>
        <div>
          <div>Thanks for sharing this! This looks awesome. Particularly
            the unparse to k text: you&#39;ve effectively bundled
            parsing/code-gen in 1 tool! Very cool.</div>
          <div><br>
          </div>
          <div>I&#39;ll take a look to see how you&#39;re performing the
            rewrites for things like the unrolling. Are the ways you do
            that general? i.e. could it be adapted to a general pattern
            matching (perhaps simulating algebraic datatypes with labels
            and nested lists) and rewrite library for k/q?=C2=A0</div>
          <div><br>
          </div>
          <div>Have you ever, by chance, worked on a general parser
            library in q? I&#39;ve worked with Scala, which has a really
            nice <a href=3D"https://github.com/scala/scala-parser-combinato=
rs" target=3D"_blank">parser
              combinator library</a>, which lets you prototype languages
            really quickly. I&#39;ve written very few parsers in q, and whe=
n
            I have, it is no where as nice as your code, so I think a
            library like that would be realllyy nice for encouraging
            programming language development on top of k/q.</div>
          <div><br>
          </div>
          <div><br>
          </div>
          <div><br>
          </div>
        </div>
      </div>
      <div class=3D"gmail_extra"><br>
        <div class=3D"gmail_quote">On Thu, Sep 22, 2016 at 4:26 PM, Stevan
          Apter <span dir=3D"ltr">&lt;<a href=3D"mailto:sa@nsl.com" target=
=3D"_blank">sa@nsl.com</a>&gt;</span>
          wrote:<br>
          <blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;bord=
er-left:1px #ccc solid;padding-left:1ex">sure.<br>
            <br>
            i haven&#39;t finished the documentation (kparse.txt), but i&#3=
9;ve
            included that.<br>
            <br>
            the script contains a tokenizer, a parser, an unparser
            (parse-tree -&gt; k syntax), and a few other useful tools.=C2=
=A0
            once you have the parse-tree there&#39;s all kinds of stuff you
            can do, like simplifying a k expression by unrolling complex
            expressions.<br>
            <br>
            i was particularly pleased (and surprised!) by how powerful
            _ss and _ssr are, even though they have very limited forms
            of pattern-matching.=C2=A0 i was able to pre-process things lik=
e
            numerical expressions so that the state table for the
            tokenizer was pleasingly small -- not too many classes, not
            too many states.<br>
            <br>
            to do this, i had to write covers for _ss and _ssr to mask
            out quotations.<br>
            <br>
            btw, this is an interesting k exercise -- to identify
            quotations possibly containing escapes.=C2=A0 (qu and esc).<br>
            <br>
            sorry i can&#39;t make it tonight - this commuting thing is ver=
y
            wearing, and i find i can manage just two consecutive days,
            after which my sleep pattern is so disrupted i walk around
            like a zombie.<br>
            <br>
            make sure you get to meet john d&#39;ausilio -- a great friend
            from millennium, now at 1010, and a very interesting fellow.<br=
>
            <br>
            let&#39;s meet at the oyster bar for lunch soon -- any tuesday
            or wednesday you can get free.=C2=A0 i&#39;m almost always in o=
n
            those days.
            <div>
              <div><br>
                <br>
                <br>
                On 9/22/16 4:00 PM, Dennis Shasha wrote:<br>
                <blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8e=
x;border-left:1px #ccc solid;padding-left:1ex">
                  Dear Steve,<br>
                  Could you resend your parser to Jose and me?<br>
                  Jose would like to get a community of people together
                  to write parser tools.<br>
                  Thanks,<br>
                  Dennis<br>
                  <br>
                </blockquote>
                <br>
              </div>
            </div>
          </blockquote>
        </div>
        <br>
        <br clear=3D"all">
        <div><br>
        </div>
        -- <br>
        <div data-smartmail=3D"gmail_signature">Jose
          Pablo Cambronero</div>
      </div>
    </blockquote>
    <br>
  </div></div></div>

</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div>

--001a113ed00efcfe62053d2f2968--

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From: "Hanfeng Chen, Mr" <hanfeng.chen@mail.mcgill.ca>
To: Dennis Shasha <shasha@cims.nyu.edu>
CC: "shasha@cs.nyu.edu" <shasha@cs.nyu.edu>,
        "josepablocam@gmail.com"
	<josepablocam@gmail.com>
Subject: Re: Database questions
Thread-Topic: Database questions
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Date: Fri, 21 Oct 2016 04:11:00 +0000
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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Fri, 21 Oct 2016 12:57:22 -0400
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Subject: Fwd: Re: Database questions
To: Dennis Shasha <shasha@cims.nyu.edu>
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Woops, thought i hit reply all
---------- Forwarded message ----------
From:
Date: Oct 21, 2016 12:56 PM
Subject: Re: Database questions
To: "Hanfeng Chen, Mr" <hanfeng.chen@mail.mcgill.ca>
Cc:

Hanfeng,

I will send you the paper Dr. Shasha referenced later today. I
unfortunately don't have access to my laptop right now.

As far as other databases, I would be a bit wary about putting too much
weight on the rankings you cited. These seem to be based mainly on
popularity (from their methodology, then consider things like links
referencing the languages, job opportunities etc). For example, I suspect a
similar ranking for programming languages might have Java as a top
contender, but that's not to say it's the best language.

I explored influxdb and some of the others when looking at existing work.
They are certainly great systems but their focus is quite narrow. Their
main use case seems to be fast ingestion of large amounts of sensor data
with simple queries performed on it. Perhaps this has changed, but when I
looked at it their query languages were fairly restricted in expressiveness
(e.g. Small set of predefined aggregates, no udfs or only in limited
clauses).

On Fri, Oct 21, 2016 at 12:11 AM, Hanfeng Chen, Mr <
hanfeng.chen@mail.mcgill.ca> wrote:

> Dear Prof. Shasha,
>
> Thank you very much for your prompt reply.  I will read your paper after =
I
> receive it from Jose.
>
> I knew the q language was fast and I remembered some preliminary
> experimental results from Arthur Whitney=E2=80=99s homepage.  The kdb+ sy=
stem
> outperformed other popular databases.  However, I found a ranking of time
> series DBMS [1] which showed that there were four new database engines ar=
e
> faster than kdb+.  I'd like to check the top DB-engine, InfluxDB, later.
> By all means, I naturally prefer kdb+/q because of APL.
>
> Best regards,
>
> Hanfeng Chen
>
> [1] http://db-engines.com/en/ranking/time+series+dbms
>
> On Oct 20, 2016, at 11:24 PM, Dennis Shasha <shasha@cims.nyu.edu> wrote:
>
> ... Dear Colleague,
>
> "Hanfeng Chen, Mr" <hanfeng.chen@mail.mcgill.ca> wrote:
>
> Dear Prof. Dennis Shasha,
>
> I=E2=80=99m a PhD candidate at McGill University.  I first learned you fr=
om an APL
> expert, Dr. Wai-Mee Ching, who had worked for IBM research and Morgan
> Stanley.  Later, I read your popular book about 15 great computer
> scientists before I met you in a KX event in Manhattan in 2013.  I brief
> introduced myself and our ELI programming language (an APL dialect) [1] t=
o
> you after the event.
>
>
> ... Yes, I remember hearing about ELI.
>
>
> Currently, my supervisor at McGill is Prof. Laurie Hendren.  My research
> interests are in the areas of compilers and databases.  To be honest, I=
=E2=80=99m a
> compiler person more than a database person.  After I read the
> Stonebraker=E2=80=99s red book [2], 5th edition, I felt lost.  It is a bo=
ok which
> collects lots of important papers in databases.  But there are too many
> names and terms.  I=E2=80=99m fascinated with in-memory database (IMDB) a=
nd I hope
> I could learn more about it.
>
> In fact, I=E2=80=99m confused by a few questions as follows.  I=E2=80=99l=
l appreciate if
> you could tell me how to find their answers.
>
>
>  *   Is there any interesting/important research topic left in IMDB?
>
>
> ... We think (I'm including Jose in the cc) list that incorporating order
> in a declarative optimizable way is interesting.
>
>  *   Is there any research focusing on compiler technology to improve the
> performance of databases?
>
>
> ... Sure. Our paper contains some references, but SIGMOD and VLDB
> have lots of papers about optimization, much having to do with compilers.
>
>  *   In a list of column-based IMDBs, such as C-Store, Monet and etc.,
> which ones should I pay more attention on?
>
>
> ... Jose will send you our paper. We think q is the fastest by a
> substantial
> amount.
>
>
> By the way, I learned Leslie Lamport from your book before he won Turing
> Award.  The interesting story about his bakery algorithm was impressive. =
 I
> gave your book to a high school computer science teacher in China and
> shared the stories of the 15 great computer scientists with his students.
> Thank you for making this book available.
>
>
> ... Nice. Thanks. The book has been translated to Chinese by Ituring.
>
>
> Best regards,
>
> Hanfeng Chen
>
> [1] http://fastarray.appspot.com/default.html
> [2] http://www.redbook.io/
>
>
> ... Warmly, Jose and Dennis
>
>
>


--=20
Jose Pablo Cambronero

--001a114dc978ba9308053f62ef55
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Content-Transfer-Encoding: quoted-printable

<p dir=3D"ltr">Woops, thought i hit reply all </p>
<div class=3D"gmail_quote">---------- Forwarded message ----------<br>From:=
 <br>Date: Oct 21, 2016 12:56 PM<br>Subject: Re: Database questions<br>To: =
&quot;Hanfeng Chen, Mr&quot; &lt;<a href=3D"mailto:hanfeng.chen@mail.mcgill=
.ca">hanfeng.chen@mail.mcgill.ca</a>&gt;<br>Cc: <br><br type=3D"attribution=
"><blockquote class=3D"quote" style=3D"margin:0 0 0 .8ex;border-left:1px #c=
cc solid;padding-left:1ex"><p dir=3D"ltr">Hanfeng,</p>
<p dir=3D"ltr">I will send you the paper Dr. Shasha referenced later today.=
 I unfortunately don&#39;t have access to my laptop right now. </p>
<p dir=3D"ltr">As far as other databases, I would be a bit wary about putti=
ng too much weight on the rankings you cited. These seem to be based mainly=
 on popularity (from their methodology, then consider things like links ref=
erencing the languages, job opportunities etc). For example, I suspect a si=
milar ranking for programming languages might have Java as a top contender,=
 but that&#39;s not to say it&#39;s the best language. </p>
<p dir=3D"ltr">I explored influxdb and some of the others when looking at e=
xisting work. They are certainly great systems but their focus is quite nar=
row. Their main use case seems to be fast ingestion of large amounts of sen=
sor data with simple queries performed on it. Perhaps this has changed, but=
 when I looked at it their query languages were fairly restricted in expres=
siveness (e.g. Small set of predefined aggregates, no udfs or only in limit=
ed clauses). <br>
</p>
<div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Fri, Oct 21, 2=
016 at 12:11 AM, Hanfeng Chen, Mr <span dir=3D"ltr">&lt;<a href=3D"mailto:h=
anfeng.chen@mail.mcgill.ca" target=3D"_blank">hanfeng.chen@mail.mcgill.ca</=
a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0=
 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">



<div style=3D"word-wrap:break-word">
<div>Dear Prof. Shasha,</div>
<div><br>
</div>
<div>Thank you very much for your prompt reply.=C2=A0 I will read your pape=
r after I receive it from Jose.</div>
<div><br>
</div>
<div>I knew the q language was fast and I remembered some preliminary exper=
imental results from Arthur Whitney=E2=80=99s homepage.=C2=A0 The kdb+ syst=
em outperformed other popular databases.=C2=A0 However, I found a ranking o=
f time series DBMS [1] which showed that
 there were four new database engines are faster than kdb+.=C2=A0 I&#39;d l=
ike to check the top DB-engine, InfluxDB, later.=C2=A0 By all means, I natu=
rally prefer kdb+/q because of APL.</div>
<div><br>
</div>
<div>Best regards,</div>
<div><br>
</div>
<div>Hanfeng Chen</div>
<div><br>
</div>
<div>[1]=C2=A0<a href=3D"http://db-engines.com/en/ranking/time+series+dbms"=
 target=3D"_blank">http://db-engines.com/en/r<wbr>anking/time+series+dbms</=
a></div><div><div class=3D"m_916859472844182744h5">
<br>
<div>
<blockquote type=3D"cite">
<div>On Oct 20, 2016, at 11:24 PM, Dennis Shasha &lt;<a href=3D"mailto:shas=
ha@cims.nyu.edu" target=3D"_blank">shasha@cims.nyu.edu</a>&gt; wrote:</div>
<br class=3D"m_916859472844182744m_2060752322544404954Apple-interchange-new=
line">
<div>
<div>... Dear Colleague,<br>
<br>
&quot;Hanfeng Chen, Mr&quot; &lt;<a href=3D"mailto:hanfeng.chen@mail.mcgill=
.ca" target=3D"_blank">hanfeng.chen@mail.mcgill.ca</a>&gt; wrote:<br>
<br>
<blockquote type=3D"cite">Dear Prof. Dennis Shasha,<br>
<br>
I=E2=80=99m a PhD candidate at McGill University.=C2=A0 I first learned you=
 from an APL expert, Dr. Wai-Mee Ching, who had worked for IBM research and=
 Morgan Stanley.=C2=A0 Later, I read your popular book about 15 great compu=
ter scientists before I met you in a KX event in Manhattan
 in 2013.=C2=A0 I brief introduced myself and our ELI programming language =
(an APL dialect) [1] to you after the event.<br>
</blockquote>
<br>
... Yes, I remember hearing about ELI.<br>
<br>
<blockquote type=3D"cite"><br>
Currently, my supervisor at McGill is Prof. Laurie Hendren.=C2=A0 My resear=
ch interests are in the areas of compilers and databases.=C2=A0 To be hones=
t, I=E2=80=99m a compiler person more than a database person.=C2=A0 After I=
 read the Stonebraker=E2=80=99s red book [2], 5th edition, I felt
 lost.=C2=A0 It is a book which collects lots of important papers in databa=
ses.=C2=A0 But there are too many names and terms.=C2=A0 I=E2=80=99m fascin=
ated with in-memory database (IMDB) and I hope I could learn more about it.=
<br>
<br>
In fact, I=E2=80=99m confused by a few questions as follows.=C2=A0 I=E2=80=
=99ll appreciate if you could tell me how to find their answers.<br>
<br>
<br>
=C2=A0* =C2=A0=C2=A0Is there any interesting/important research topic left =
in IMDB?<br>
</blockquote>
<br>
... We think (I&#39;m including Jose in the cc) list that incorporating ord=
er<br>
in a declarative optimizable way is interesting.<br>
<br>
<blockquote type=3D"cite">=C2=A0* =C2=A0=C2=A0Is there any research focusin=
g on compiler technology to improve the performance of databases?<br>
</blockquote>
<br>
... Sure. Our paper contains some references, but SIGMOD and VLDB<br>
have lots of papers about optimization, much having to do with compilers.<b=
r>
<br>
<blockquote type=3D"cite">=C2=A0* =C2=A0=C2=A0In a list of column-based IMD=
Bs, such as C-Store, Monet and etc., which ones should I pay more attention=
 on?<br>
</blockquote>
<br>
... Jose will send you our paper. We think q is the fastest by a substantia=
l<br>
amount.<br>
<br>
<blockquote type=3D"cite"><br>
By the way, I learned Leslie Lamport from your book before he won Turing Aw=
ard.=C2=A0 The interesting story about his bakery algorithm was impressive.=
=C2=A0 I gave your book to a high school computer science teacher in China =
and shared the stories of the 15 great computer
 scientists with his students.=C2=A0 Thank you for making this book availab=
le.<br>
</blockquote>
<br>
... Nice. Thanks. The book has been translated to Chinese by Ituring.<br>
<br>
<blockquote type=3D"cite"><br>
Best regards,<br>
<br>
Hanfeng Chen<br>
<br>
[1] <a href=3D"http://fastarray.appspot.com/default.html" target=3D"_blank"=
>http://fastarray.appspot.com/d<wbr>efault.html</a><br>
[2] <a href=3D"http://www.redbook.io/" target=3D"_blank">http://www.redbook=
.io/</a><br>
</blockquote>
<br>
... Warmly, Jose and Dennis<br>
<br>
</div>
</div>
</blockquote>
</div>
<br>
</div></div></div>

</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"m_916859472844182744gmail_signature" data-smartmail=3D"gmail_signature"=
>Jose Pablo Cambronero</div>
</div>
</blockquote></div><br>

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Sun, 23 Oct 2016 11:14:55 -0400
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Subject: Re: Database questions
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Cc: "shasha@cs.nyu.edu" <shasha@cs.nyu.edu>
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On Sun, Oct 23, 2016 at 12:08 AM, Hanfeng Chen, Mr <
hanfeng.chen@mail.mcgill.ca> wrote:

> Hi Jos=C3=A9,
>
> It is a nice paper to read.  First, I appreciate the idea of introducing =
a
> source code translator, a2q (i.e. from AQuery to q).  This idea is simila=
r
> to our lab=E2=80=99s research [1] on MATLAB.  We provide a framework for
> translating MATLAB code to FORTRAN, X10, JavaScript and etc.
>

Thanks for sharing the link! Looks very interesting.


> Second, I=E2=80=99m interested in the additional clauses listed in the pa=
per since
> some clauses are not supported in kdb+/q.  Finally, the experimental
> results are very impressive.  I will try the source code of queries used =
in
> experiments.
>

Let me know if you run into any issues setting up etc. I believe the code
from the paper should run without any issues directly in the current aquery
version, however, there is a small chance one or two queries have slightly
different syntax from the latest version, but in any case they should
require minimal changes.


>
> However, I=E2=80=99m confused by the following things.  I=E2=80=99ll appr=
eciate if you
> could explain them when you have time.
>
>
>    - The name =E2=80=98a2q=E2=80=99 only appears once in the paper, even =
the link to your
>    GitHub repository is missing
>
> The github link I sent you is for a complete rewrite we performed of the
system. The translator is now in Scala, versus the old one that was in C. I
believe a2q was only mentioned once by name as in other occasions we simply
referred to it as "our system" (at least in the experimental portion). In
general, the goal was to put forth the ideas and less so the specific
implementation.


>
>    - The observation of performance comparison is good, but there is no
>    further discussion about the cases in which AQuery doesn=E2=80=99t exc=
el (e.g.
>    Section 5.1)
>
> This is indeed a great point, and one that I believe we should add in the
future.


>
> The Lerner=E2=80=99s paper worked on KSQL which was an early version of q=
.  It is
> great to learn that you continue Lerner=E2=80=99s work.  BTW, I=E2=80=99d=
 like to give a
> brief talk about your research project and kdb+/q in our group meeting ne=
xt
> week.  APL-style programming is welcome in our lab.  It seems your paper =
is
> under blind review since author information is hidden.  I will only talk
> about your GitHub project.
>
>
You can feel free to talk about either. The paper I sent you was in review
a while back, I just happened to send you that pdf. Sorry about the
confusion



> Thank you very much for sharing the paper.
>

No problem. I hope we can remain in touch as it seems we have a significant
amount of shared interests in terms of projects.


>
> Best regards,
>
> Hanfeng Chen
>
> [1] http://www.sable.mcgill.ca/mclab/projects/
>
>
> On Oct 22, 2016, at 11:51 AM, Jos=C3=A9 Pablo Cambronero <
> josepablocam@gmail.com> wrote:
>
> Hanfeng,
>
> Sorry for the delay on this, I've been traveling so getting a solid
> connection has been a bit of a challenge.
>
> Attached is the paper that Dr. Shasha referenced. Our implementation of
> the system can be found here <https://github.com/josepablocam/aquery>.
>
> Best,
>
> Jos=C3=A9
>
> On Fri, Oct 21, 2016 at 1:25 PM, Hanfeng Chen, Mr <
> hanfeng.chen@mail.mcgill.ca> wrote:
>
>> Hi Jos=C3=A9,
>>
>> Thank you for your reply.  I think you are right.  The ranking doesn=E2=
=80=99t
>> mean which DB engine is faster, but just its popularity.  Sorry about th=
e
>> confusion.  I found it by accident and thought this was a new thing to
>> share. :)
>>
>> Best regards,
>>
>> Hanfeng
>>
>> On Oct 21, 2016, at 12:57 PM, Jos=C3=A9 Pablo Cambronero <
>> josepablocam@gmail.com> wrote:
>>
>> Hanfeng,
>>
>> I will send you the paper Dr. Shasha referenced later today. I
>> unfortunately don't have access to my laptop right now.
>>
>> As far as other databases, I would be a bit wary about putting too much
>> weight on the rankings you cited. These seem to be based mainly on
>> popularity (from their methodology, then consider things like links
>> referencing the languages, job opportunities etc). For example, I suspec=
t a
>> similar ranking for programming languages might have Java as a top
>> contender, but that's not to say it's the best language.
>>
>> I explored influxdb and some of the others when looking at existing work=
.
>> They are certainly great systems but their focus is quite narrow. Their
>> main use case seems to be fast ingestion of large amounts of sensor data
>> with simple queries performed on it. Perhaps this has changed, but when =
I
>> looked at it their query languages were fairly restricted in expressiven=
ess
>> (e.g. Small set of predefined aggregates, no udfs or only in limited
>> clauses).
>>
>> On Fri, Oct 21, 2016 at 12:11 AM, Hanfeng Chen, Mr <
>> hanfeng.chen@mail.mcgill.ca> wrote:
>>
>>> Dear Prof. Shasha,
>>>
>>> Thank you very much for your prompt reply.  I will read your paper afte=
r
>>> I receive it from Jose.
>>>
>>> I knew the q language was fast and I remembered some preliminary
>>> experimental results from Arthur Whitney=E2=80=99s homepage.  The kdb+ =
system
>>> outperformed other popular databases.  However, I found a ranking of ti=
me
>>> series DBMS [1] which showed that there were four new database engines =
are
>>> faster than kdb+.  I'd like to check the top DB-engine, InfluxDB, later=
.
>>> By all means, I naturally prefer kdb+/q because of APL.
>>>
>>> Best regards,
>>>
>>> Hanfeng Chen
>>>
>>> [1] http://db-engines.com/en/ranking/time+series+dbms
>>>
>>> On Oct 20, 2016, at 11:24 PM, Dennis Shasha <shasha@cims.nyu.edu> wrote=
:
>>>
>>> ... Dear Colleague,
>>>
>>> "Hanfeng Chen, Mr" <hanfeng.chen@mail.mcgill.ca> wrote:
>>>
>>> Dear Prof. Dennis Shasha,
>>>
>>> I=E2=80=99m a PhD candidate at McGill University.  I first learned you =
from an
>>> APL expert, Dr. Wai-Mee Ching, who had worked for IBM research and Morg=
an
>>> Stanley.  Later, I read your popular book about 15 great computer
>>> scientists before I met you in a KX event in Manhattan in 2013.  I brie=
f
>>> introduced myself and our ELI programming language (an APL dialect) [1]=
 to
>>> you after the event.
>>>
>>>
>>> ... Yes, I remember hearing about ELI.
>>>
>>>
>>> Currently, my supervisor at McGill is Prof. Laurie Hendren.  My researc=
h
>>> interests are in the areas of compilers and databases.  To be honest, I=
=E2=80=99m a
>>> compiler person more than a database person.  After I read the
>>> Stonebraker=E2=80=99s red book [2], 5th edition, I felt lost.  It is a =
book which
>>> collects lots of important papers in databases.  But there are too many
>>> names and terms.  I=E2=80=99m fascinated with in-memory database (IMDB)=
 and I hope
>>> I could learn more about it.
>>>
>>> In fact, I=E2=80=99m confused by a few questions as follows.  I=E2=80=
=99ll appreciate if
>>> you could tell me how to find their answers.
>>>
>>>
>>>  *   Is there any interesting/important research topic left in IMDB?
>>>
>>>
>>> ... We think (I'm including Jose in the cc) list that incorporating ord=
er
>>> in a declarative optimizable way is interesting.
>>>
>>>  *   Is there any research focusing on compiler technology to improve
>>> the performance of databases?
>>>
>>>
>>> ... Sure. Our paper contains some references, but SIGMOD and VLDB
>>> have lots of papers about optimization, much having to do with compiler=
s.
>>>
>>>  *   In a list of column-based IMDBs, such as C-Store, Monet and etc.,
>>> which ones should I pay more attention on?
>>>
>>>
>>> ... Jose will send you our paper. We think q is the fastest by a
>>> substantial
>>> amount.
>>>
>>>
>>> By the way, I learned Leslie Lamport from your book before he won Turin=
g
>>> Award.  The interesting story about his bakery algorithm was impressive=
.  I
>>> gave your book to a high school computer science teacher in China and
>>> shared the stories of the 15 great computer scientists with his student=
s.
>>> Thank you for making this book available.
>>>
>>>
>>> ... Nice. Thanks. The book has been translated to Chinese by Ituring.
>>>
>>>
>>> Best regards,
>>>
>>> Hanfeng Chen
>>>
>>> [1] http://fastarray.appspot.com/default.html
>>> [2] http://www.redbook.io/
>>>
>>>
>>> ... Warmly, Jose and Dennis
>>>
>>>
>>>
>>
>>
>> --
>> Jose Pablo Cambronero
>>
>>
>>
>
>
> --
> Jose Pablo Cambronero
> <aquery_paper.pdf>
>
>
>


--=20
Jose Pablo Cambronero

--f403045ddaec51a622053f89bfe6
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><br><div class=3D"gmail_extra"><br><div class=3D"gmail_quo=
te">On Sun, Oct 23, 2016 at 12:08 AM, Hanfeng Chen, Mr <span dir=3D"ltr">&l=
t;<a href=3D"mailto:hanfeng.chen@mail.mcgill.ca" target=3D"_blank">hanfeng.=
chen@mail.mcgill.ca</a>&gt;</span> wrote:<br><blockquote class=3D"gmail_quo=
te" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"=
>



<div style=3D"word-wrap:break-word">
<div>Hi Jos=C3=A9,</div>
<div><br>
</div>
<div>It is a nice paper to read.=C2=A0 First, I appreciate the idea of intr=
oducing a source code translator, a2q (i.e. from AQuery to q).=C2=A0 This i=
dea is similar to our lab=E2=80=99s research [1] on MATLAB.=C2=A0 We provid=
e a framework for translating MATLAB code to FORTRAN,
 X10, JavaScript and etc. =C2=A0</div></div></blockquote><div><br></div><di=
v>Thanks for sharing the link! Looks very interesting.</div><div>=C2=A0</di=
v><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:=
1px #ccc solid;padding-left:1ex"><div style=3D"word-wrap:break-word"><div>S=
econd, I=E2=80=99m interested in the additional clauses listed in the paper=
 since some clauses are not supported in kdb+/q.=C2=A0 Finally, the experim=
ental results are very impressive.=C2=A0 I will try the source code of quer=
ies used in experiments.</div></div></blockquote><div><br></div><div>Let me=
 know if you run into any issues setting up etc. I believe the code from th=
e paper should run without any issues directly in the current aquery versio=
n, however, there is a small chance one or two queries have slightly differ=
ent syntax from the latest version, but in any case they should require min=
imal changes.</div><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=
=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div sty=
le=3D"word-wrap:break-word">
<div><br>
</div>
<div>However, I=E2=80=99m confused by the following things.=C2=A0 I=E2=80=
=99ll appreciate if you could explain them when you have time.</div>
<div><br>
</div>
<div>
<ul class=3D"m_7142575354520590725MailOutline">
<li>The name =E2=80=98a2q=E2=80=99 only appears once in the paper, even the=
 link to your GitHub repository is missing</li></ul></div></div></blockquot=
e><div>The github link I sent you is for a complete rewrite we performed of=
 the system. The translator is now in Scala, versus the old one that was in=
 C. I believe a2q was only mentioned once by name as in other occasions we =
simply referred to it as &quot;our system&quot; (at least in the experiment=
al portion). In general, the goal was to put forth the ideas and less so th=
e specific implementation.</div><div>=C2=A0</div><blockquote class=3D"gmail=
_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:=
1ex"><div style=3D"word-wrap:break-word"><div><ul class=3D"m_71425753545205=
90725MailOutline"><li>The observation of performance comparison is good, bu=
t there is no further discussion about the cases in which AQuery doesn=E2=
=80=99t excel (e.g. Section 5.1)</li></ul></div></div></blockquote><div>Thi=
s is indeed a great point, and one that I believe we should add in the futu=
re.</div><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin=
:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style=3D"word=
-wrap:break-word"><div>
<div><br>
</div>
</div>
<div>The Lerner=E2=80=99s paper worked on KSQL which was an early version o=
f q.=C2=A0 It is great to learn that you continue Lerner=E2=80=99s work.=C2=
=A0 BTW, I=E2=80=99d like to give a brief talk about your research project =
and kdb+/q in our group meeting next week.=C2=A0 APL-style programming
 is welcome in our lab.=C2=A0 It seems your paper is under blind review sin=
ce author information is hidden.=C2=A0 I will only talk about your GitHub p=
roject.</div>
<div><br></div></div></blockquote><div><br></div><div>You can feel free to =
talk about either. The paper I sent you was in review a while back, I just =
happened to send you that pdf. Sorry about the confusion</div><div><br></di=
v><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 =
.8ex;border-left:1px #ccc solid;padding-left:1ex"><div style=3D"word-wrap:b=
reak-word"><div>
</div>
Thank you very much for sharing the paper.</div></blockquote><div><br></div=
><div>No problem. I hope we can remain in touch as it seems we have a signi=
ficant amount of shared interests in terms of projects.</div><div>=C2=A0</d=
iv><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left=
:1px #ccc solid;padding-left:1ex"><div style=3D"word-wrap:break-word">
<div><br>
</div>
<div>Best regards,</div>
<div><br>
</div>
<div>Hanfeng Chen</div>
<div><br>
</div>
<div>[1]=C2=A0<a href=3D"http://www.sable.mcgill.ca/mclab/projects/" target=
=3D"_blank">http://www.sable.mcgill.<wbr>ca/mclab/projects/</a></div>
<div><br>
</div>
<div><br>
<div>
<blockquote type=3D"cite"><div><div class=3D"h5">
<div>On Oct 22, 2016, at 11:51 AM, Jos=C3=A9 Pablo Cambronero &lt;<a href=
=3D"mailto:josepablocam@gmail.com" target=3D"_blank">josepablocam@gmail.com=
</a>&gt; wrote:</div>
<br class=3D"m_7142575354520590725Apple-interchange-newline">
</div></div><div><div><div class=3D"h5">
<div dir=3D"ltr">Hanfeng,
<div><br>
</div>
<div>Sorry for the delay on this, I&#39;ve been traveling so getting a soli=
d connection has been a bit of a challenge.</div>
<div><br>
</div>
<div>Attached is the paper that Dr. Shasha referenced. Our implementation o=
f the system can be found
<a href=3D"https://github.com/josepablocam/aquery" target=3D"_blank">here</=
a>.</div>
<div><br>
</div>
<div>Best,</div>
<div><br>
</div>
<div>Jos=C3=A9</div>
</div>
<div class=3D"gmail_extra"><br>
<div class=3D"gmail_quote">On Fri, Oct 21, 2016 at 1:25 PM, Hanfeng Chen, M=
r <span dir=3D"ltr">
&lt;<a href=3D"mailto:hanfeng.chen@mail.mcgill.ca" target=3D"_blank">hanfen=
g.chen@mail.mcgill.ca</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
<div style=3D"word-wrap:break-word">
<div>Hi Jos=C3=A9,</div>
<div><br>
</div>
<div>Thank you for your reply.=C2=A0 I think you are right.=C2=A0 The ranki=
ng doesn=E2=80=99t mean which DB engine is faster, but just its popularity.=
=C2=A0 Sorry about the confusion.=C2=A0 I found it by accident and thought =
this was a new thing to share. :)</div>
<div><br>
</div>
<div>Best regards,</div>
<div><br>
</div>
<div>Hanfeng</div>
<div>
<div class=3D"m_7142575354520590725h5"><br>
<div>
<blockquote type=3D"cite">
<div>On Oct 21, 2016, at 12:57 PM, Jos=C3=A9 Pablo Cambronero &lt;<a href=
=3D"mailto:josepablocam@gmail.com" target=3D"_blank">josepablocam@gmail.com=
</a>&gt; wrote:</div>
<br class=3D"m_7142575354520590725m_1851790519668024128Apple-interchange-ne=
wline">
<div>
<p dir=3D"ltr">Hanfeng,</p>
<p dir=3D"ltr">I will send you the paper Dr. Shasha referenced later today.=
 I unfortunately don&#39;t have access to my laptop right now.
</p>
<p dir=3D"ltr">As far as other databases, I would be a bit wary about putti=
ng too much weight on the rankings you cited. These seem to be based mainly=
 on popularity (from their methodology, then consider things like links ref=
erencing the languages, job
 opportunities etc). For example, I suspect a similar ranking for programmi=
ng languages might have Java as a top contender, but that&#39;s not to say =
it&#39;s the best language.
</p>
<p dir=3D"ltr">I explored influxdb and some of the others when looking at e=
xisting work. They are certainly great systems but their focus is quite nar=
row. Their main use case seems to be fast ingestion of large amounts of sen=
sor data with simple queries
 performed on it. Perhaps this has changed, but when I looked at it their q=
uery languages were fairly restricted in expressiveness (e.g. Small set of =
predefined aggregates, no udfs or only in limited clauses).
<br>
</p>
<div class=3D"gmail_extra"><br>
<div class=3D"gmail_quote">On Fri, Oct 21, 2016 at 12:11 AM, Hanfeng Chen, =
Mr <span dir=3D"ltr">
&lt;<a href=3D"mailto:hanfeng.chen@mail.mcgill.ca" target=3D"_blank">hanfen=
g.chen@mail.mcgill.ca</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
<div style=3D"word-wrap:break-word">
<div>Dear Prof. Shasha,</div>
<div><br>
</div>
<div>Thank you very much for your prompt reply.=C2=A0 I will read your pape=
r after I receive it from Jose.</div>
<div><br>
</div>
<div>I knew the q language was fast and I remembered some preliminary exper=
imental results from Arthur Whitney=E2=80=99s homepage.=C2=A0 The kdb+ syst=
em outperformed other popular databases.=C2=A0 However, I found a ranking o=
f time series DBMS [1] which showed that
 there were four new database engines are faster than kdb+.=C2=A0 I&#39;d l=
ike to check the top DB-engine, InfluxDB, later.=C2=A0 By all means, I natu=
rally prefer kdb+/q because of APL.</div>
<div><br>
</div>
<div>Best regards,</div>
<div><br>
</div>
<div>Hanfeng Chen</div>
<div><br>
</div>
<div>[1]=C2=A0<a href=3D"http://db-engines.com/en/ranking/time+series+dbms"=
 target=3D"_blank">http://db-engines.com/en/r<wbr>anking/time+series+dbms</=
a></div>
<div>
<div class=3D"m_7142575354520590725m_1851790519668024128m_91685947284418274=
4h5"><br>
<div>
<blockquote type=3D"cite">
<div>On Oct 20, 2016, at 11:24 PM, Dennis Shasha &lt;<a href=3D"mailto:shas=
ha@cims.nyu.edu" target=3D"_blank">shasha@cims.nyu.edu</a>&gt; wrote:</div>
<br class=3D"m_7142575354520590725m_1851790519668024128m_916859472844182744=
m_2060752322544404954Apple-interchange-newline">
<div>
<div>... Dear Colleague,<br>
<br>
&quot;Hanfeng Chen, Mr&quot; &lt;<a href=3D"mailto:hanfeng.chen@mail.mcgill=
.ca" target=3D"_blank">hanfeng.chen@mail.mcgill.ca</a>&gt; wrote:<br>
<br>
<blockquote type=3D"cite">Dear Prof. Dennis Shasha,<br>
<br>
I=E2=80=99m a PhD candidate at McGill University.=C2=A0 I first learned you=
 from an APL expert, Dr. Wai-Mee Ching, who had worked for IBM research and=
 Morgan Stanley.=C2=A0 Later, I read your popular book about 15 great compu=
ter scientists before I met you in a KX event in Manhattan
 in 2013.=C2=A0 I brief introduced myself and our ELI programming language =
(an APL dialect) [1] to you after the event.<br>
</blockquote>
<br>
... Yes, I remember hearing about ELI.<br>
<br>
<blockquote type=3D"cite"><br>
Currently, my supervisor at McGill is Prof. Laurie Hendren.=C2=A0 My resear=
ch interests are in the areas of compilers and databases.=C2=A0 To be hones=
t, I=E2=80=99m a compiler person more than a database person.=C2=A0 After I=
 read the Stonebraker=E2=80=99s red book [2], 5th edition, I felt
 lost.=C2=A0 It is a book which collects lots of important papers in databa=
ses.=C2=A0 But there are too many names and terms.=C2=A0 I=E2=80=99m fascin=
ated with in-memory database (IMDB) and I hope I could learn more about it.=
<br>
<br>
In fact, I=E2=80=99m confused by a few questions as follows.=C2=A0 I=E2=80=
=99ll appreciate if you could tell me how to find their answers.<br>
<br>
<br>
=C2=A0* =C2=A0=C2=A0Is there any interesting/important research topic left =
in IMDB?<br>
</blockquote>
<br>
... We think (I&#39;m including Jose in the cc) list that incorporating ord=
er<br>
in a declarative optimizable way is interesting.<br>
<br>
<blockquote type=3D"cite">=C2=A0* =C2=A0=C2=A0Is there any research focusin=
g on compiler technology to improve the performance of databases?<br>
</blockquote>
<br>
... Sure. Our paper contains some references, but SIGMOD and VLDB<br>
have lots of papers about optimization, much having to do with compilers.<b=
r>
<br>
<blockquote type=3D"cite">=C2=A0* =C2=A0=C2=A0In a list of column-based IMD=
Bs, such as C-Store, Monet and etc., which ones should I pay more attention=
 on?<br>
</blockquote>
<br>
... Jose will send you our paper. We think q is the fastest by a substantia=
l<br>
amount.<br>
<br>
<blockquote type=3D"cite"><br>
By the way, I learned Leslie Lamport from your book before he won Turing Aw=
ard.=C2=A0 The interesting story about his bakery algorithm was impressive.=
=C2=A0 I gave your book to a high school computer science teacher in China =
and shared the stories of the 15 great computer
 scientists with his students.=C2=A0 Thank you for making this book availab=
le.<br>
</blockquote>
<br>
... Nice. Thanks. The book has been translated to Chinese by Ituring.<br>
<br>
<blockquote type=3D"cite"><br>
Best regards,<br>
<br>
Hanfeng Chen<br>
<br>
[1] <a href=3D"http://fastarray.appspot.com/default.html" target=3D"_blank"=
>
http://fastarray.appspot.com/d<wbr>efault.html</a><br>
[2] <a href=3D"http://www.redbook.io/" target=3D"_blank">http://www.redbook=
.io/</a><br>
</blockquote>
<br>
... Warmly, Jose and Dennis<br>
<br>
</div>
</div>
</blockquote>
</div>
<br>
</div>
</div>
</div>
</blockquote>
</div>
<br>
<br clear=3D"all">
<div><br>
</div>
-- <br>
<div class=3D"m_7142575354520590725m_1851790519668024128m_91685947284418274=
4gmail_signature" data-smartmail=3D"gmail_signature">
Jose Pablo Cambronero</div>
</div>
</div>
</blockquote>
</div>
<br>
</div>
</div>
</div>
</blockquote>
</div>
<br>
<br clear=3D"all">
<div><br>
</div>
-- <br>
<div class=3D"m_7142575354520590725gmail_signature" data-smartmail=3D"gmail=
_signature">Jose Pablo Cambronero</div>
</div>
</div></div><span id=3D"m_7142575354520590725cid:183042D4-C8FA-4661-87CA-40=
122DE88163@home">&lt;aquery_paper.pdf&gt;</span></div>
</blockquote>
</div>
<br>
</div>
</div>

</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div></div>

--f403045ddaec51a622053f89bfe6--

From shasha@cims.nyu.edu  Thu Dec 15 13:11:06 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
Message-Id: <201612151811.uBFIB3NE024824@linax2.cims.nyu.edu>
Date: Thu, 15 Dec 2016 13:11:03 -0500
To: sray@unb.ca, shasha@cs.nyu.edu
Subject: Re: Aquery
Cc: josepablocam@gmail.com
References: <c41c88a0da1a41d1acbf52a52d60ec16@ExMB1.ad.unb.ca>
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Dear Suprio,
Absolutely. I've used it in my advanced database course.

http://cs.nyu.edu/courses/fall16/CSCI-GA.2434-001/

There are bugs here and there but it works quite nicely altogether.
You can find all the links from that page.

Warmly,
Jose and Dennis

Suprio Ray <sray@unb.ca> wrote:

> Prof. Shasha,
> I am considering using AQuery in a graduate database course that I teach. I would like the students be able to use and run queries using a time-series database. Therefore, I'm wondering if you have developed a database system that incorporates AQuery and if this is available for academic use. Any suggestion in this regard is most welcome.
>
> Regards.
> Suprio
>
> Suprio Ray
> Assistant Professor
> Computer Science
> University of New Brunswick,
> Fredericton, Canada
> http://www.cs.unb.ca/~sray/
>
>

From shasha@cims.nyu.edu  Fri Dec 30 10:10:15 2016
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From: Dennis Shasha <shasha@cims.nyu.edu>
Message-Id: <201612301510.uBUFACqK013509@linax2.cims.nyu.edu>
Date: Fri, 30 Dec 2016 10:10:12 -0500
To: shasha@cims.nyu.edu, clabiak0@gmail.com
Subject: Re: aquery
Cc: josepablocam@gmail.com
References: <201612101541.uBAFfP7g019404@linax2.cims.nyu.edu>
 <FEFEF043-AB0B-47F5-9C54-2FFD9DF9DDE1@gmail.com>
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... Dear Chris,

... I'm going to give you my views, but Jose may have other ideas.

... 1. To get you familiar with aquery and the compiler, my first
request would be for you to write (or extend) an extensive regression suite
so as we make further changes, we would know we are not breaking
anything.

... 2. While doing 1, check for upward compatibility with SQL 92.

... 3. Once you've done 1 and 2, then work with Jose on the parallelism project.

... Jose, if you disagree, please enter the thread.

... Warmly, Dennis

clabiak0@gmail.com wrote:

> Hi Dennis,
>
> Hope you are enjoying the holiday season. I have had some time to look over Q and the aquery project. It certainly looks very appealing to me and would enjoy to continue with it. With that said, I do have several queries regarding the project. I did see Jose has put in a lot of work into the project, including a recent migration from C to Scala. Therefore, what are the next steps? Will I be working will him? To me, it seems like fine tuning Aquery would be the next steps, whether that be working on the AST or trying distribution. I know we discussed it informally in person, but I would like to get a better/ more formal understanding of the ask before diving in.
>
> Thanks,
> Chris 
>
> > On Dec 10, 2016, at 10:41 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:
> > 
> > 
> > 
> > http://cs.nyu.edu/cs/faculty/shasha/papers/dennispresentation.pdf
> > 
> > http://cs.nyu.edu/cs/faculty/shasha/papers/sigmod_aquery.pdf
> > 
> > Warm Regards,
> > Dennis

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
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Subject: Re: aquery
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: clabiak0@gmail.com
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This sounds like a great plan to me. Chris, if you can send me your github
user, I'll add you as contributor to the Scala version, so you can push
changes to the main repository as you go.

While the C repository is now deprecated, there is some work on a branch
there that is still relevant, and I haven't moved over yet (apologies about
the mess). Specifically, the parallel
<https://github.com/josepablocam/aquery2q/tree/parallel/src/parallel>
branch has some base code for a distributed version of aquery's underlying
q operations. I don't want to bias you in your approach, so feel free to
think through some ideas before taking a look at this, there may be better
ways to do some of what I have there.

A good way to get familiar with the Scala code base would be, as Dr. Shasha
suggests, to add some more tests to the Scala test suites. You can also
experiment with adding new optimization rules (these need not be related to
query optimization, things such as traditional arithmetic simplification
can also be expressed easily). One of the main goals for the rewrite was to
make writing optimization rules more transparent and easy.

Looking forward to collaborating.

Best,

Jos=C3=A9



On Fri, Dec 30, 2016 at 10:10 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote=
:

> ... Dear Chris,
>
> ... I'm going to give you my views, but Jose may have other ideas.
>
> ... 1. To get you familiar with aquery and the compiler, my first
> request would be for you to write (or extend) an extensive regression sui=
te
> so as we make further changes, we would know we are not breaking
> anything.
>
> ... 2. While doing 1, check for upward compatibility with SQL 92.
>
> ... 3. Once you've done 1 and 2, then work with Jose on the parallelism
> project.
>
> ... Jose, if you disagree, please enter the thread.
>
> ... Warmly, Dennis
>
> clabiak0@gmail.com wrote:
>
> > Hi Dennis,
> >
> > Hope you are enjoying the holiday season. I have had some time to look
> over Q and the aquery project. It certainly looks very appealing to me an=
d
> would enjoy to continue with it. With that said, I do have several querie=
s
> regarding the project. I did see Jose has put in a lot of work into the
> project, including a recent migration from C to Scala. Therefore, what ar=
e
> the next steps? Will I be working will him? To me, it seems like fine
> tuning Aquery would be the next steps, whether that be working on the AST
> or trying distribution. I know we discussed it informally in person, but =
I
> would like to get a better/ more formal understanding of the ask before
> diving in.
> >
> > Thanks,
> > Chris
> >
> > > On Dec 10, 2016, at 10:41 AM, Dennis Shasha <shasha@cims.nyu.edu>
> wrote:
> > >
> > >
> > >
> > > http://cs.nyu.edu/cs/faculty/shasha/papers/dennispresentation.pdf
> > >
> > > http://cs.nyu.edu/cs/faculty/shasha/papers/sigmod_aquery.pdf
> > >
> > > Warm Regards,
> > > Dennis
>
>


--=20
Jose Pablo Cambronero

--089e01493ff2674c240544e2f3d8
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">This sounds like a great plan to me. Chris, if you can sen=
d me your github user, I&#39;ll add you as contributor to the Scala version=
, so you can push changes to the main repository as you go.<div><br></div><=
div>While the C repository is now deprecated, there is some work on a branc=
h there that is still relevant, and I haven&#39;t moved over yet (apologies=
 about the mess). Specifically, the <a href=3D" https://github.com/josepabl=
ocam/aquery2q/tree/parallel/src/parallel">parallel</a> branch has some base=
 code for a distributed version of aquery&#39;s underlying q operations. I =
don&#39;t want to bias you in your approach, so feel free to think through =
some ideas before taking a look at this, there may be better ways to do som=
e of what I have there.</div><div><br></div><div>A good way to get familiar=
 with the Scala code base would be, as Dr. Shasha suggests, to add some mor=
e tests to the Scala test suites. You can also experiment with adding new o=
ptimization rules (these need not be related to query optimization, things =
such as traditional arithmetic simplification can also be expressed easily)=
. One of the main goals for the rewrite was to make writing optimization ru=
les more transparent and easy.</div><div><br></div><div>Looking forward to =
collaborating.</div><div><br></div><div>Best,</div><div><br></div><div>Jos=
=C3=A9</div><div><br></div><div><br></div></div><div class=3D"gmail_extra">=
<br><div class=3D"gmail_quote">On Fri, Dec 30, 2016 at 10:10 AM, Dennis Sha=
sha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cims.nyu.edu" target=3D"=
_blank">shasha@cims.nyu.edu</a>&gt;</span> wrote:<br><blockquote class=3D"g=
mail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-l=
eft:1ex">... Dear Chris,<br>
<br>
... I&#39;m going to give you my views, but Jose may have other ideas.<br>
<br>
... 1. To get you familiar with aquery and the compiler, my first<br>
request would be for you to write (or extend) an extensive regression suite=
<br>
so as we make further changes, we would know we are not breaking<br>
anything.<br>
<br>
... 2. While doing 1, check for upward compatibility with SQL 92.<br>
<br>
... 3. Once you&#39;ve done 1 and 2, then work with Jose on the parallelism=
 project.<br>
<br>
... Jose, if you disagree, please enter the thread.<br>
<br>
... Warmly, Dennis<br>
<br>
<a href=3D"mailto:clabiak0@gmail.com">clabiak0@gmail.com</a> wrote:<br>
<br>
&gt; Hi Dennis,<br>
&gt;<br>
&gt; Hope you are enjoying the holiday season. I have had some time to look=
 over Q and the aquery project. It certainly looks very appealing to me and=
 would enjoy to continue with it. With that said, I do have several queries=
 regarding the project. I did see Jose has put in a lot of work into the pr=
oject, including a recent migration from C to Scala. Therefore, what are th=
e next steps? Will I be working will him? To me, it seems like fine tuning =
Aquery would be the next steps, whether that be working on the AST or tryin=
g distribution. I know we discussed it informally in person, but I would li=
ke to get a better/ more formal understanding of the ask before diving in.<=
br>
&gt;<br>
&gt; Thanks,<br>
&gt; Chris<br>
&gt;<br>
&gt; &gt; On Dec 10, 2016, at 10:41 AM, Dennis Shasha &lt;<a href=3D"mailto=
:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt; wrote:<br>
&gt; &gt;<br>
&gt; &gt;<br>
&gt; &gt;<br>
&gt; &gt; <a href=3D"http://cs.nyu.edu/cs/faculty/shasha/papers/dennisprese=
ntation.pdf" rel=3D"noreferrer" target=3D"_blank">http://cs.nyu.edu/cs/facu=
lty/<wbr>shasha/papers/<wbr>dennispresentation.pdf</a><br>
&gt; &gt;<br>
&gt; &gt; <a href=3D"http://cs.nyu.edu/cs/faculty/shasha/papers/sigmod_aque=
ry.pdf" rel=3D"noreferrer" target=3D"_blank">http://cs.nyu.edu/cs/faculty/<=
wbr>shasha/papers/sigmod_aquery.<wbr>pdf</a><br>
&gt; &gt;<br>
&gt; &gt; Warm Regards,<br>
&gt; &gt; Dennis<br>
<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pablo Cambrone=
ro</div>
</div>

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Thu, 9 Mar 2017 12:04:19 -0500
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Subject: Re: imputedb
To: Dennis Shasha <shasha@cims.nyu.edu>
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Dennis,

I certainly do see your point on Voodoo. Holger has been quite busy with
job interviews, but we are scheduled to chat once his schedule normalizes
as well. I think the hardware portion is interesting, and something I'd
like to get more exposure to (I'm taking a computer architecture class now
with those goals in mind).

On the imputation front, I agree that in many cases, particularly if the
dataset is small enough or the data is frequently used and there is time
for offline imputation, then imputedb offers little value. I think its
application area is early exploration of datasets, when its unclear if
spending the time/effort to impute the entire base tables is worthwhile.
The user can get a sense of what the data looks like with imputedb, without
paying that cost up front (in exchange accepting some small overhead). Once
they decide they do want everything imputed in a particular way (keeping in
mind that committing to one imputation strategy might also be undesirable
in many cases), they should certainly do that offline and then offer
zero-overhead query execution.

As always, your two cents are more like multiple dollars worth, so the
feedback is much appreciated!

Jos=C3=A9

On Thu, Mar 9, 2017 at 11:55 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Dear Jose,
>
> Interesting. In my view, if you want to work in these promising areas,
> working on voodoo
> would be a better bet. It will be a persistent problem to get the most
> out of new generations of hardware and by combining a rather large
> set of application scenarios -- database, time series, graph queries
> -- and hardware, you could write an award-winning thesis.
>
> My problem with imputedb as a primary goal is this: the base table
> imputation
> method happens just once (or perhaps incrementally as data is loaded), so
> any overhead at query time is unacceptable.
> The only exception would be streaming data but it's a hard sell, because
> streaming data from sensors is likely to have well-defined rules for fill=
ing
> in missing values.
>
> My two cents:)
>
> Warmly,
> Dennis
>
> Jos=C3=A9 Pablo Cambronero <josepablocam@gmail.com> wrote:
>
> > Ah. If I make it down before April 21st I'll let you know then. Have a
> > great trip to France!
> >
> > I would like to stay involved in an intersection between programming
> > languages and databases, and to the extent relevant, some machine
> > learning/data science. I think there is a lot of interesting work
> happening
> > at that intersection (e.g. AQuery, ImputeDB, etc). I'm exploring a
> project
> > now that merges some of these ideas into a small DSL for data generatio=
n.
> >
> >
> > Here's an abstract (taken form the submission currently under review)
> >
> > *Missing values are common in data analysis and present a usability
> > challenge. Users are forced to pick between removing tuples with missin=
g
> > values or creating a cleaned version of their data by applying a
> relatively
> > expensive imputation strategy. Our system, ImputeDB, incorporates
> > imputation into a cost-based query optimizer, performing necessary
> > imputations on-the-fly for each query. This allows users to immediately
> > explore their data, while the system picks the optimal placement of
> > imputation operations. We evaluate this approach on three real-world
> > survey-based datasets. Our experiments show that our query plans execut=
e
> > between 10 and 200 times faster than first imputing the base tables.
> > Furthermore, we show that the query results from on-the-fly imputation
> > differ from the traditional base-table imputation approach by 0=E2=80=
=9324%, in
> one
> > error measure. Finally, we show that while dropping tuples with missing
> > values that fail query constraints discards 3=E2=80=9388% of the data, =
on-the-fly
> > imputation loses only 0=E2=80=9310%.*
> >
> >
> >
> > On Thu, Mar 9, 2017 at 11:36 AM, Dennis Shasha <shasha@cims.nyu.edu>
> wrote:
> >
> > > Dear Jose,
> > >
> > > I'll already be in France (April 21 to July 9).
> > > Please send me an abstract though. Perhaps Jinyang's group would be
> > > interested.
> > > Warmly,
> > > Dennis
> > > P.S. Is this going to be your research area do you think?
> > >
> > > Jos=C3=A9 Pablo Cambronero <josepablocam@gmail.com> wrote:
> > >
> > > > Dennis,
> > > >
> > > > I'm planning a visit to NYC for the first week of May. If you think
> it
> > > > would be of interest to you and other DB/PL/ML people at Courant, I=
'd
> > > love
> > > > to offer up a presentation on ImputeDB.
> > > >
> > > > If that does not pan out, but you are available, I'd love to catch =
up
> > > over
> > > > coffee/tea regardless.
> > > >
> > > > Best,
> > > >
> > > > Jos=C3=A9
> > > >
> > > > On Wed, Mar 1, 2017 at 11:01 PM, Dennis Shasha <shasha@cims.nyu.edu=
>
> > > wrote:
> > > >
> > > > >
> > > > > Dear Jose,
> > > > > I haven't read the details but it's an under-explored topic
> > > > > and you have a nice approach.
> > > > > Warmly,
> > > > > Dennis
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > Jose Pablo Cambronero
> > >
> > >
> >
> >
> > --
> > Jose Pablo Cambronero
>



--=20
Jose Pablo Cambronero

--001a113e1910ca19de054a4f3edd
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Dennis,<div><br></div><div>I certainly do see your point o=
n Voodoo. Holger has been quite busy with job interviews, but we are schedu=
led to chat once his schedule normalizes as well. I think the hardware port=
ion is interesting, and something I&#39;d like to get more exposure to (I&#=
39;m taking a computer architecture class now with those goals in mind).</d=
iv><div><br></div><div>On the imputation front, I agree that in many cases,=
 particularly if the dataset is small enough or the data is frequently used=
 and there is time for offline imputation, then imputedb offers little valu=
e. I think its application area is early exploration of datasets, when its =
unclear if spending the time/effort to impute the entire base tables is wor=
thwhile. The user can get a sense of what the data looks like with imputedb=
, without paying that cost up front (in exchange accepting some small overh=
ead). Once they decide they do want everything imputed in a particular way =
(keeping in mind that committing to one imputation strategy might also be u=
ndesirable in many cases), they should certainly do that offline and then o=
ffer zero-overhead query execution.</div><div><br></div><div>As always, you=
r two cents are more like multiple dollars worth, so the feedback is much a=
ppreciated!</div><div><br></div><div>Jos=C3=A9</div></div><div class=3D"gma=
il_extra"><br><div class=3D"gmail_quote">On Thu, Mar 9, 2017 at 11:55 AM, D=
ennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cims.nyu.edu" t=
arget=3D"_blank">shasha@cims.nyu.edu</a>&gt;</span> wrote:<br><blockquote c=
lass=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;=
padding-left:1ex">Dear Jose,<br>
<br>
Interesting. In my view, if you want to work in these promising areas,<br>
working on voodoo<br>
would be a better bet. It will be a persistent problem to get the most<br>
out of new generations of hardware and by combining a rather large<br>
set of application scenarios -- database, time series, graph queries<br>
-- and hardware, you could write an award-winning thesis.<br>
<br>
My problem with imputedb as a primary goal is this: the base table imputati=
on<br>
method happens just once (or perhaps incrementally as data is loaded), so<b=
r>
any overhead at query time is unacceptable.<br>
The only exception would be streaming data but it&#39;s a hard sell, becaus=
e streaming data from sensors is likely to have well-defined rules for fill=
ing<br>
in missing values.<br>
<br>
My two cents:)<br>
<br>
Warmly,<br>
Dennis<br>
<span class=3D""><br>
Jos=C3=A9 Pablo Cambronero &lt;<a href=3D"mailto:josepablocam@gmail.com">jo=
sepablocam@gmail.com</a>&gt; wrote:<br>
<br>
</span><span class=3D"">&gt; Ah. If I make it down before April 21st I&#39;=
ll let you know then. Have a<br>
&gt; great trip to France!<br>
&gt;<br>
&gt; I would like to stay involved in an intersection between programming<b=
r>
&gt; languages and databases, and to the extent relevant, some machine<br>
&gt; learning/data science. I think there is a lot of interesting work happ=
ening<br>
&gt; at that intersection (e.g. AQuery, ImputeDB, etc). I&#39;m exploring a=
 project<br>
&gt; now that merges some of these ideas into a small DSL for data generati=
on.<br>
&gt;<br>
&gt;<br>
&gt; Here&#39;s an abstract (taken form the submission currently under revi=
ew)<br>
&gt;<br>
</span>&gt; *Missing values are common in data analysis and present a usabi=
lity<br>
<span class=3D"">&gt; challenge. Users are forced to pick between removing =
tuples with missing<br>
&gt; values or creating a cleaned version of their data by applying a relat=
ively<br>
&gt; expensive imputation strategy. Our system, ImputeDB, incorporates<br>
&gt; imputation into a cost-based query optimizer, performing necessary<br>
&gt; imputations on-the-fly for each query. This allows users to immediatel=
y<br>
&gt; explore their data, while the system picks the optimal placement of<br=
>
&gt; imputation operations. We evaluate this approach on three real-world<b=
r>
&gt; survey-based datasets. Our experiments show that our query plans execu=
te<br>
&gt; between 10 and 200 times faster than first imputing the base tables.<b=
r>
&gt; Furthermore, we show that the query results from on-the-fly imputation=
<br>
&gt; differ from the traditional base-table imputation approach by 0=E2=80=
=9324%, in one<br>
&gt; error measure. Finally, we show that while dropping tuples with missin=
g<br>
&gt; values that fail query constraints discards 3=E2=80=9388% of the data,=
 on-the-fly<br>
</span>&gt; imputation loses only 0=E2=80=9310%.*<br>
<div class=3D"HOEnZb"><div class=3D"h5">&gt;<br>
&gt;<br>
&gt;<br>
&gt; On Thu, Mar 9, 2017 at 11:36 AM, Dennis Shasha &lt;<a href=3D"mailto:s=
hasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt; wrote:<br>
&gt;<br>
&gt; &gt; Dear Jose,<br>
&gt; &gt;<br>
&gt; &gt; I&#39;ll already be in France (April 21 to July 9).<br>
&gt; &gt; Please send me an abstract though. Perhaps Jinyang&#39;s group wo=
uld be<br>
&gt; &gt; interested.<br>
&gt; &gt; Warmly,<br>
&gt; &gt; Dennis<br>
&gt; &gt; P.S. Is this going to be your research area do you think?<br>
&gt; &gt;<br>
&gt; &gt; Jos=C3=A9 Pablo Cambronero &lt;<a href=3D"mailto:josepablocam@gma=
il.com">josepablocam@gmail.com</a>&gt; wrote:<br>
&gt; &gt;<br>
&gt; &gt; &gt; Dennis,<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; I&#39;m planning a visit to NYC for the first week of May. I=
f you think it<br>
&gt; &gt; &gt; would be of interest to you and other DB/PL/ML people at Cou=
rant, I&#39;d<br>
&gt; &gt; love<br>
&gt; &gt; &gt; to offer up a presentation on ImputeDB.<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; If that does not pan out, but you are available, I&#39;d lov=
e to catch up<br>
&gt; &gt; over<br>
&gt; &gt; &gt; coffee/tea regardless.<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; Best,<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; Jos=C3=A9<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; On Wed, Mar 1, 2017 at 11:01 PM, Dennis Shasha &lt;<a href=
=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; wrote:<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; Dear Jose,<br>
&gt; &gt; &gt; &gt; I haven&#39;t read the details but it&#39;s an under-ex=
plored topic<br>
&gt; &gt; &gt; &gt; and you have a nice approach.<br>
&gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; --<br>
&gt; &gt; &gt; Jose Pablo Cambronero<br>
&gt; &gt;<br>
&gt; &gt;<br>
&gt;<br>
&gt;<br>
&gt; --<br>
&gt; Jose Pablo Cambronero<br>
</div></div></blockquote></div><br><br clear=3D"all"><div><br></div>-- <br>=
<div class=3D"gmail_signature" data-smartmail=3D"gmail_signature">Jose Pabl=
o Cambronero</div>
</div>

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Dear Emil,

1. Amazon

2. kafka

3. move data across the sites

4. group by assuming the data is partitioned by the criterion necessary
e.g. if the data is partitioned by day of week and we have a group by date
query (e.g. average volume per day)

5. group by something else (e.g. stock id).
Two strategies:
a. one repartitioning by stock id
b. one to do local group by stock id and then merge the group by aggregates.

Warmly,
Dennis 

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From: =?UTF-8?Q?Jos=C3=A9_Pablo_Cambronero?= <josepablocam@gmail.com>
Date: Thu, 8 Feb 2018 18:54:13 +0000
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Subject: Re: group by
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: ego225@nyu.edu, aa175@nyu.edu
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Emil,

As Dennis mentioned, I worked on implementing a compiler for AQuery using
Scala (https://github.com/josepablocam/aquery). I found Scala
to be incredibly productive for this task. To give you a sense: I did a
complete rewrite from our C implementation to Scala in a bit under 2 months
(with additional
tests and documentation).

 A couple of advantages I see to using Scala below:

* REPL (huge for quick ad-hoc experimenting)
* pattern matching (with compile-time warnings for exhaustiveness): this is
really nice for AST-based rewriting we did for optimizations
* nice parser combinators library for the front-end portion of the compiler
* interoperability with Java libraries (with little to no additional work)
* simple, but expressive, build system (SBT, versus navigating the
nightmares that is maven, gradle, ant etc)

If you have a choice between Java and Scala, I would choose the latter
without hesitation.

Let me know if you have any other questions/concerns.

Best,

Jos=C3=A9



On Thu, Feb 8, 2018 at 8:08 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Dear Emil,
> Scala is a better Java. I'm copying Jose who implemented the aquery
> compiler in scala (though the runtime was in kdb) for more insights
> into motivation.
> Warmly,
> Dennis
>
> Azza Abouzied <aa175@nyu.edu> wrote:
>
> > Hi Emil,
> >
> > We'd like you to look into using Scala unless it becomes too tedious to
> work with or a barrier to making some progress.
> >
> > Azza
> >
> > Sent from my iPhone
> >
> > > On Feb 8, 2018, at 10:19 AM, Emil Goldsmith Olesen <ego225@nyu.edu>
> wrote:
> > >
> > > Hi,
> > >
> > > Just starting looking at the Kafka docs, did Dennis mention in an
> offhand remark that you would like me to write the code in Scala? Or is i=
t
> fine if I use any language Kafka supports?
> > >
> > > Cheers,
> > > Emil
> > >
> > >> On Mon, Feb 5, 2018 at 2:56 PM, Azza Abouzied <aa175@nyu.edu> wrote:
> > >> Yep.
> > >>
> > >>> On Feb 5, 2018, at 2:55 PM, Emil Goldsmith Olesen <ego225@nyu.edu>
> wrote:
> > >>>
> > >>> Just to double check, this is the service we talked about using
> right? https://aws.amazon.com/ec2/?ft=3Dn and then I can use the 750 hour
> free tier in the start.
> > >>>
> > >>> On Mon, Feb 5, 2018 at 11:24 AM, Dennis Shasha <shasha@cims.nyu.edu=
>
> wrote:
> > >>>> It is mysterious though because the wetness theory was debunked by
> the successful
> > >>>> communication with Emil's friend.
> > >>>> We'll make it work.
> > >>>> Warmly,
> > >>>> Dennis
> > >>>>
> > >>>> Azza Abouzied <aa175@nyu.edu> wrote:
> > >>>>
> > >>>> > Hi Emil,
> > >>>> >
> > >>>> > Just have plan B ready if your sound quality is poor next time. =
I
> doubt it is a problem on our end, I skype almost everyday with different
> groups and I rarely have trouble Skyping with Dennis. Google Hangouts doe=
s
> not work on either the NYU network or other.
> > >>>> >
> > >>>> > Best wishes,
> > >>>> > Azza
> > >>>> >
> > >>>> > > On Feb 5, 2018, at 9:56 AM, Emil Goldsmith Olesen <
> ego225@nyu.edu> wrote:
> > >>>> > >
> > >>>> > > No problem Dennis.
> > >>>> > >
> > >>>> > > I also thought of another backup plan, if it for some reason i=
s
> the combination of my computer with Skype with your computers with a grou=
p
> call or whatever crazy thing is going on, I could also try skyping from m=
y
> iPad as that has worked successfully before. We could both do a test
> earlier somehow if you're interested or I could just come prepared with
> plan B, C, D on Sunday as described above.
> > >>>> > >
> > >>>> > > Cheers,
> > >>>> > > Emil
> > >>>> > >
> > >>>> > > On Mon, Feb 5, 2018 at 12:00 AM, Dennis Shasha <
> shasha@cims.nyu.edu <mailto:shasha@cims.nyu.edu>> wrote:
> > >>>> > > Sorry. I had to leave and probably too late now.
> > >>>> > >
> > >>>> > > Emil Goldsmith Olesen <ego225@nyu.edu <mailto:ego225@nyu.edu>>
> wrote:
> > >>>> > >
> > >>>> > > > Just accepted your request, since it'd just be a quick check
> of mics feel
> > >>>> > > > free to call any time within the next few hours, I'll leave
> myself logged in
> > >>>> > > >
> > >>>> > > > On Sun, Feb 4, 2018 at 7:30 PM, Dennis Shasha <
> shasha@cims.nyu.edu <mailto:shasha@cims.nyu.edu>> wrote:
> > >>>> > > >
> > >>>> > > > > Hmm. I just send you a contact request. Let's try a 1 on 1
> communication.
> > >>>> > > > > Azza and I had had a three way conversation with Yana and
> Shantanu just
> > >>>> > > > > before
> > >>>> > > > > our meeting and they were also clear as bells.
> > >>>> > > > >
> > >>>> > > > > Also, I think there are two queries:
> > >>>> > > > > assuming the five sites consist of all mondays at site 1,
> all tuesdays
> > >>>> > > > > at site 2, .... all fridays at site 5.
> > >>>> > > > > The first query is:
> > >>>> > > > > select avg(volume) from trades group by date
> > >>>> > > > >
> > >>>> > > > > The second query is:
> > >>>> > > > >
> > >>>> > > > > select avg(volume*price) from trades group by stockid
> > >>>> > > > >
> > >>>> > > > > The strategies for the second strategy are:
> > >>>> > > > > a) repartition by stock id
> > >>>> > > > > b) perform the group by locally and then repartition the
> partial results.
> > >>>> > > > >
> > >>>> > > > > Warmly,
> > >>>> > > > > Dennis
> > >>>> > > > >
> > >>>> > > > > Emil Goldsmith Olesen <ego225@nyu.edu <mailto:
> ego225@nyu.edu>> wrote:
> > >>>> > > > >
> > >>>> > > > > > Sounds good!
> > >>>> > > > > >
> > >>>> > > > > > Also on the Skype front, it=E2=80=98s really mysterious.=
 I did
> the Skype test
> > >>>> > > > > call
> > >>>> > > > > > that plays back my audio and everything sounded great,
> and then I asked
> > >>>> > > > > one
> > >>>> > > > > > of my friends to do a quick Skype with me and she could
> hear me "clear
> > >>>> > > > > as a
> > >>>> > > > > > bell", and I'm in the same place and literally changed
> nothing. So I
> > >>>> > > > > don't
> > >>>> > > > > > know if it's something on one of your ends (though it
> seemed like you
> > >>>> > > > > could
> > >>>> > > > > > hear each other... which is also weird!) or maybe it's
> something to do
> > >>>> > > > > with
> > >>>> > > > > > Skype's group calls messing up? As Dennis suggested Azza
> and I could
> > >>>> > > > > > definitely try doing a test call this week, but otherwis=
e
> another
> > >>>> > > > > > troubleshooting method could maybe be trying out Google
> hangouts instead
> > >>>> > > > > or
> > >>>> > > > > > something like that?
> > >>>> > > > > >
> > >>>> > > > > > Cheers,
> > >>>> > > > > > Emil
> > >>>> > > > > >
> > >>>> > > > > > On Sun, Feb 4, 2018 at 7:13 PM, Azza Abouzied <
> aa175@nyu.edu <mailto:aa175@nyu.edu>> wrote:
> > >>>> > > > > >
> > >>>> > > > > > > This is the extra detail that I have:
> > >>>> > > > > > >
> > >>>> > > > > > > 1) Focus on one operation (e.g. group by aggregation)
> (see comments
> > >>>> > > > > from
> > >>>> > > > > > > Dennis as well):
> > >>>> > > > > > >
> > >>>> > > > > > >         This could be the guiding query:
> > >>>> > > > > > >         select stock_id, avg(stock_price) group by
> (stock_id)
> > >>>> > > > > > >
> > >>>> > > > > > >         assuming that the data is partitioned by
> day(stock_date).
> > >>>> > > > > > >
> > >>>> > > > > > >         You can also play with different partitioning
> schemes and
> > >>>> > > > > > > different aggregations and different ordering columns.
> > >>>> > > > > > >
> > >>>> > > > > > >         Depending on what the partitioning scheme is
> and what the query
> > >>>> > > > > > > is, you may have to implement this as a map only
> operation or a map +
> > >>>> > > > > > > reduce.
> > >>>> > > > > > >
> > >>>> > > > > > > 2) Move on to write the code to partition the data set
> by ranges of the
> > >>>> > > > > > > ordering column or by certain attributes.
> > >>>> > > > > > > 4) Run a quick evaluation of how this reduces response
> time as the
> > >>>> > > > > number
> > >>>> > > > > > > of nodes increase / as the data size increase.
> > >>>> > > > > > >
> > >>>> > > > > > > As you work through this, you will probably have to
> figure out:
> > >>>> > > > > > >
> > >>>> > > > > > > (a) access to Amazon clusters
> > >>>> > > > > > > (b) code packaging and shipping
> > >>>> > > > > > > (c) data shuffling using Kafka as well as passing
> partial aggregates
> > >>>> > > > > using
> > >>>> > > > > > > the messaging framework.
> > >>>> > > > > > > (d) generating large amounts of test data on each
> machine
> > >>>> > > > > > > (e) keeping a database with details and results of
> experimental runs
> > >>>> > > > > that
> > >>>> > > > > > > is easy to query/filter
> > >>>> > > > > > > (f) visualizing results as graphs
> > >>>> > > > > > >
> > >>>> > > > > > > For next week, make sure you can easily set up the
> Amazon cluster with
> > >>>> > > > > > > free tier nodes and you can easily run Kafka with dumm=
y
> code to make
> > >>>> > > > > sure
> > >>>> > > > > > > you can get the nodes to talk to each other, pass data
> around, etc and
> > >>>> > > > > > > perhaps generate some test data.
> > >>>> > > > > > >
> > >>>> > > > > > > Azza
> > >>>> > > > > > >
> > >>>> > > > > > >
> > >>>> > > > > > >
> > >>>> > > > > > > > On Feb 4, 2018, at 6:58 PM, Dennis Shasha <
> shasha@cims.nyu.edu <mailto:shasha@cims.nyu.edu>>
> > >>>> > > > > wrote:
> > >>>> > > > > > > >
> > >>>> > > > > > > >
> > >>>> > > > > > > > Dear Emil,
> > >>>> > > > > > > >
> > >>>> > > > > > > > 1. Amazon
> > >>>> > > > > > > >
> > >>>> > > > > > > > 2. kafka
> > >>>> > > > > > > >
> > >>>> > > > > > > > 3. move data across the sites
> > >>>> > > > > > > >
> > >>>> > > > > > > > 4. group by assuming the data is partitioned by the
> criterion
> > >>>> > > > > necessary
> > >>>> > > > > > > > e.g. if the data is partitioned by day of week and w=
e
> have a group by
> > >>>> > > > > > > date
> > >>>> > > > > > > > query (e.g. average volume per day)
> > >>>> > > > > > > >
> > >>>> > > > > > > > 5. group by something else (e.g. stock id).
> > >>>> > > > > > > > Two strategies:
> > >>>> > > > > > > > a. one repartitioning by stock id
> > >>>> > > > > > > > b. one to do local group by stock id and then merge
> the group by
> > >>>> > > > > > > aggregates.
> > >>>> > > > > > > >
> > >>>> > > > > > > > Warmly,
> > >>>> > > > > > > > Dennis
> > >>>> > > > > > >
> > >>>> > > > > > >
> > >>>> > > > >
> > >>>> > >
> > >>>> >
> > >>>
> > >>
> > >
>



--=20
Jose Pablo Cambronero

--001a113dcdca8629b40564b7f22a
Content-Type: text/html; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Emil,<div><br></div><div>As Dennis mentioned, I worked on =
implementing a compiler for AQuery using Scala (<a href=3D"https://github.c=
om/josepablocam/aquery">https://github.com/josepablocam/aquery</a>). I foun=
d Scala</div><div>to be incredibly productive for this task. To give you a =
sense: I did a complete rewrite from our C implementation to Scala in a bit=
 under 2 months (with additional</div><div>tests and documentation).</div><=
div><br></div><div>=C2=A0A couple of advantages I see to using Scala below:=
</div><div><br></div><div>* REPL (huge for quick ad-hoc experimenting)</div=
><div>* pattern matching (with compile-time warnings for exhaustiveness): t=
his is really nice for AST-based rewriting we did for optimizations</div><d=
iv>* nice parser combinators library for the front-end portion of the compi=
ler</div><div>* interoperability with Java libraries (with little to no add=
itional work)</div><div>* simple, but expressive, build system (SBT, versus=
 navigating the nightmares that is maven, gradle, ant etc)</div><div><br></=
div><div>If you have a choice between Java and Scala, I would choose the la=
tter without hesitation.</div><div><br></div><div>Let me know if you have a=
ny other questions/concerns.</div><div><br></div><div>Best,</div><div><br><=
/div><div>Jos=C3=A9</div><div><br></div><div><div><br></div><div class=3D"g=
mail_extra"><br><div class=3D"gmail_quote">On Thu, Feb 8, 2018 at 8:08 AM, =
Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cims.nyu.edu" =
target=3D"_blank">shasha@cims.nyu.edu</a>&gt;</span> wrote:<br><blockquote =
class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px sol=
id rgb(204,204,204);padding-left:1ex">Dear Emil,<br>
Scala is a better Java. I&#39;m copying Jose who implemented the aquery<br>
compiler in scala (though the runtime was in kdb) for more insights<br>
into motivation.<br>
Warmly,<br>
Dennis<br>
<br>
Azza Abouzied &lt;<a href=3D"mailto:aa175@nyu.edu">aa175@nyu.edu</a>&gt; wr=
ote:<br>
<br>
&gt; Hi Emil,<br>
&gt;<br>
&gt; We&#39;d like you to look into using Scala unless it becomes too tedio=
us to work with or a barrier to making some progress.<br>
&gt;<br>
&gt; Azza<br>
&gt;<br>
&gt; Sent from my iPhone<br>
&gt;<br>
&gt; &gt; On Feb 8, 2018, at 10:19 AM, Emil Goldsmith Olesen &lt;<a href=3D=
"mailto:ego225@nyu.edu">ego225@nyu.edu</a>&gt; wrote:<br>
&gt; &gt;<br>
&gt; &gt; Hi,<br>
&gt; &gt;<br>
&gt; &gt; Just starting looking at the Kafka docs, did Dennis mention in an=
 offhand remark that you would like me to write the code in Scala? Or is it=
 fine if I use any language Kafka supports?<br>
&gt; &gt;<br>
&gt; &gt; Cheers,<br>
&gt; &gt; Emil<br>
&gt; &gt;<br>
&gt; &gt;&gt; On Mon, Feb 5, 2018 at 2:56 PM, Azza Abouzied &lt;<a href=3D"=
mailto:aa175@nyu.edu">aa175@nyu.edu</a>&gt; wrote:<br>
&gt; &gt;&gt; Yep.<br>
&gt; &gt;&gt;<br>
&gt; &gt;&gt;&gt; On Feb 5, 2018, at 2:55 PM, Emil Goldsmith Olesen &lt;<a =
href=3D"mailto:ego225@nyu.edu">ego225@nyu.edu</a>&gt; wrote:<br>
&gt; &gt;&gt;&gt;<br>
&gt; &gt;&gt;&gt; Just to double check, this is the service we talked about=
 using right? <a href=3D"https://aws.amazon.com/ec2/?ft=3Dn" rel=3D"norefer=
rer" target=3D"_blank">https://aws.amazon.com/ec2/?<wbr>ft=3Dn</a> and then=
 I can use the 750 hour free tier in the start.<br>
&gt; &gt;&gt;&gt;<br>
&gt; &gt;&gt;&gt; On Mon, Feb 5, 2018 at 11:24 AM, Dennis Shasha &lt;<a hre=
f=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt; It is mysterious though because the wetness theory wa=
s debunked by the successful<br>
&gt; &gt;&gt;&gt;&gt; communication with Emil&#39;s friend.<br>
&gt; &gt;&gt;&gt;&gt; We&#39;ll make it work.<br>
&gt; &gt;&gt;&gt;&gt; Warmly,<br>
&gt; &gt;&gt;&gt;&gt; Dennis<br>
&gt; &gt;&gt;&gt;&gt;<br>
&gt; &gt;&gt;&gt;&gt; Azza Abouzied &lt;<a href=3D"mailto:aa175@nyu.edu">aa=
175@nyu.edu</a>&gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; Hi Emil,<br>
&gt; &gt;&gt;&gt;&gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; Just have plan B ready if your sound quality is =
poor next time. I doubt it is a problem on our end, I skype almost everyday=
 with different groups and I rarely have trouble Skyping with Dennis. Googl=
e Hangouts does not work on either the NYU network or other.<br>
&gt; &gt;&gt;&gt;&gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; Best wishes,<br>
&gt; &gt;&gt;&gt;&gt; &gt; Azza<br>
&gt; &gt;&gt;&gt;&gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; On Feb 5, 2018, at 9:56 AM, Emil Goldsmith =
Olesen &lt;<a href=3D"mailto:ego225@nyu.edu">ego225@nyu.edu</a>&gt; wrote:<=
br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; No problem Dennis.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; I also thought of another backup plan, if i=
t for some reason is the combination of my computer with Skype with your co=
mputers with a group call or whatever crazy thing is going on, I could also=
 try skyping from my iPad as that has worked successfully before. We could =
both do a test earlier somehow if you&#39;re interested or I could just com=
e prepared with plan B, C, D on Sunday as described above.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; Cheers,<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; Emil<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; On Mon, Feb 5, 2018 at 12:00 AM, Dennis Sha=
sha &lt;<a href=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a> &lt;=
mailto:<a href=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt;&g=
t; wrote:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; Sorry. I had to leave and probably too late=
 now.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; Emil Goldsmith Olesen &lt;<a href=3D"mailto=
:ego225@nyu.edu">ego225@nyu.edu</a> &lt;mailto:<a href=3D"mailto:ego225@nyu=
.edu">ego225@nyu.edu</a>&gt;&gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; Just accepted your request, since it&#=
39;d just be a quick check of mics feel<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; free to call any time within the next =
few hours, I&#39;ll leave myself logged in<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; On Sun, Feb 4, 2018 at 7:30 PM, Dennis=
 Shasha &lt;<a href=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a> =
&lt;mailto:<a href=3D"mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&g=
t;&gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Hmm. I just send you a contact re=
quest. Let&#39;s try a 1 on 1 communication.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Azza and I had had a three way co=
nversation with Yana and Shantanu just<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; before<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; our meeting and they were also cl=
ear as bells.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Also, I think there are two queri=
es:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; assuming the five sites consist o=
f all mondays at site 1, all tuesdays<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; at site 2, .... all fridays at si=
te 5.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; The first query is:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; select avg(volume) from trades gr=
oup by date<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; The second query is:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; select avg(volume*price) from tra=
des group by stockid<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; The strategies for the second str=
ategy are:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; a) repartition by stock id<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; b) perform the group by locally a=
nd then repartition the partial results.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; Emil Goldsmith Olesen &lt;<a href=
=3D"mailto:ego225@nyu.edu">ego225@nyu.edu</a> &lt;mailto:<a href=3D"mailto:=
ego225@nyu.edu">ego225@nyu.edu</a>&gt;&gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; Sounds good!<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; Also on the Skype front, it=
=E2=80=98s really mysterious. I did the Skype test<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; call<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; that plays back my audio and=
 everything sounded great, and then I asked<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; one<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; of my friends to do a quick =
Skype with me and she could hear me &quot;clear<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; as a<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; bell&quot;, and I&#39;m in t=
he same place and literally changed nothing. So I<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; don&#39;t<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; know if it&#39;s something o=
n one of your ends (though it seemed like you<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; could<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; hear each other... which is =
also weird!) or maybe it&#39;s something to do<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; with<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; Skype&#39;s group calls mess=
ing up? As Dennis suggested Azza and I could<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; definitely try doing a test =
call this week, but otherwise another<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; troubleshooting method could=
 maybe be trying out Google hangouts instead<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; or<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; something like that?<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; Cheers,<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; Emil<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; On Sun, Feb 4, 2018 at 7:13 =
PM, Azza Abouzied &lt;<a href=3D"mailto:aa175@nyu.edu">aa175@nyu.edu</a> &l=
t;mailto:<a href=3D"mailto:aa175@nyu.edu">aa175@nyu.edu</a>&gt;&gt; wrote:<=
br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; This is the extra detai=
l that I have:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; 1) Focus on one operati=
on (e.g. group by aggregation) (see comments<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; from<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; Dennis as well):<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0This could be the guiding query:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0select stock_id, avg(stock_price) group by (stock_id)<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0assuming that the data is partitioned by day(stock_date).<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0You can also play with different partitioning schemes and<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; different aggregations =
and different ordering columns.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;=C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0Depending on what the partitioning scheme is and what the query<b=
r>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; is, you may have to imp=
lement this as a map only operation or a map +<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; reduce.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; 2) Move on to write the=
 code to partition the data set by ranges of the<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; ordering column or by c=
ertain attributes.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; 4) Run a quick evaluati=
on of how this reduces response time as the<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; number<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; of nodes increase / as =
the data size increase.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; As you work through thi=
s, you will probably have to figure out:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (a) access to Amazon cl=
usters<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (b) code packaging and =
shipping<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (c) data shuffling usin=
g Kafka as well as passing partial aggregates<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; using<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; the messaging framework=
.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (d) generating large am=
ounts of test data on each machine<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (e) keeping a database =
with details and results of experimental runs<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; that<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; is easy to query/filter=
<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; (f) visualizing results=
 as graphs<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; For next week, make sur=
e you can easily set up the Amazon cluster with<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; free tier nodes and you=
 can easily run Kafka with dummy code to make<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; sure<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; you can get the nodes t=
o talk to each other, pass data around, etc and<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; perhaps generate some t=
est data.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; Azza<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; On Feb 4, 2018, at=
 6:58 PM, Dennis Shasha &lt;<a href=3D"mailto:shasha@cims.nyu.edu">shasha@c=
ims.nyu.edu</a> &lt;mailto:<a href=3D"mailto:shasha@cims.nyu.edu">shasha@ci=
ms.nyu.edu</a>&gt;&gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; wrote:<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Emil,<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 1. Amazon<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 2. kafka<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 3. move data acros=
s the sites<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 4. group by assumi=
ng the data is partitioned by the criterion<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; necessary<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; e.g. if the data i=
s partitioned by day of week and we have a group by<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; date<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; query (e.g. averag=
e volume per day)<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 5. group by someth=
ing else (e.g. stock id).<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Two strategies:<br=
>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; a. one repartition=
ing by stock id<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; b. one to do local=
 group by stock id and then merge the group by<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; aggregates.<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt; &gt;<br>
&gt; &gt;&gt;&gt;&gt; &gt;<br>
&gt; &gt;&gt;&gt;<br>
&gt; &gt;&gt;<br>
&gt; &gt;<br>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br><div class=
=3D"gmail_signature">Jose Pablo Cambronero</div>
</div></div></div>

--001a113dcdca8629b40564b7f22a--

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Dear Munir,

Emil, whom you remember from Heuristics,
is working on a project on top of Kafka.
He wants to allow the following communication patterns.

Master -- Worker: publish-subscribe

Worker - Master: I am worker x and my job is done: 

Worker - Worker: one-to-one communication

Worker-all Workers: for the lookahead.

Orthogonally to all this: we might want to change masters
or have multiple masters and then a super-master.
Is there a good Kafka way to do all this and are there examples
online of this that you know of?

Warmly,
Dennis


From shasha@cims.nyu.edu  Sat Mar  3 08:54:16 2018
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Dear Emil,

1. Scaling with respect to nodes; with respect to data set size.

2. Whether redistribution is needed or not; if it is needed, do we 
redistribute first and then do everything locally or do partial sums.

3. Then the report.

Warmly,
Dennis

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From: Munir Contractor <mmc691@nyu.edu>
Date: Sat, 3 Mar 2018 13:04:54 -0500
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        Emil Goldsmith Olesen <ego225@nyu.edu>
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--001a11427c94e55a0e056685efbc
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Hi everyone,

Happy to help with questions about Kafka.
I would like to understand a little bit more about the project so I can
answer questions
better. I will connect with Emil separately regarding that.

Provided some info below regarding the various scenarios

On Sat, Mar 3, 2018 at 8:46 AM, Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Dear Munir,
>
> Emil, whom you remember from Heuristics,
> is working on a project on top of Kafka.
> He wants to allow the following communication patterns.
>
> Master -- Worker: publish-subscribe
>

This is usually the normal Kafka use case. Master writes messages to a topic
and workers read them from the topic. Each worker needs to keep track of the
last offset read by it and fetch the next offset. Fetching the next message
should already be provided as an API for the Kafka consumers by the
language and library you are using.


>
> Worker - Master: I am worker x and my job is done:
>

This would be similar to above. Create a topic for all the workers to send
messages
to the master and include some worker id in the message. The workers will
be the
producers for the topic and the master the consumer.


>
> Worker - Worker: one-to-one communication
>

This is a little tricky to do since Kafka is based on a
publisher-subscriber but you
can create a topic for each worker to read from and when another worker
wants to
send a message, they write to that topic.


>
> Worker-all Workers: for the lookahead.
>

This should be similar to master-worker.

You can do all this with n + 2 topics for n workers.
1 global topic which all workers read from. Master and other workers write
to this.
1 global topic which only master reads from. All workers write to this
topic.
n worker specific topics where other workers and master write for
one-to-one messages

The messages should include an id so that readers can identify who sent it.


>
> Orthogonally to all this: we might want to change masters
> or have multiple masters and then a super-master.
>
Is there a good Kafka way to do all this and are there examples
> online of this that you know of?
>

Google should help with the examples for the library and language you are
using. :)


>
> Warmly,
> Dennis
>
>
>

--001a11427c94e55a0e056685efbc
Content-Type: text/html; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><div><div><div><div>Hi everyone,<br><br></div>Happy to hel=
p with questions about Kafka.<br></div>I would like to understand a little =
bit more about the project so I can answer questions<br></div>better. I wil=
l connect with Emil separately regarding that.<br><br></div>Provided some i=
nfo below regarding the various scenarios<br><div><div><div><div><div><div>=
<div><div><div><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On=
 Sat, Mar 3, 2018 at 8:46 AM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=
=3D"mailto:shasha@cims.nyu.edu" target=3D"_blank">shasha@cims.nyu.edu</a>&g=
t;</span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0=
 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Munir,<br>
<br>
Emil, whom you remember from Heuristics,<br>
is working on a project on top of Kafka.<br>
He wants to allow the following communication patterns.<br>
<br>
Master -- Worker: publish-subscribe<br></blockquote><div><br></div><div>Thi=
s is usually the normal Kafka use case. Master writes messages to a topic<b=
r></div><div>and workers read them from the topic. Each worker needs to kee=
p track of the<br></div><div>last offset read by it and fetch the next offs=
et. Fetching the next message <br>should already be provided as an API for =
the Kafka consumers by the <br>language and library you are using.<br></div=
><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .=
8ex;border-left:1px #ccc solid;padding-left:1ex">
<br>
Worker - Master: I am worker x and my job is done:<br></blockquote><div><br=
></div><div>This would be similar to above. Create a topic for all the work=
ers to send messages<br></div><div>to the master and include some worker id=
 in the message. The workers will be the<br></div><div>producers for the to=
pic and the master the consumer.<br></div><div>=C2=A0</div><blockquote clas=
s=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;pad=
ding-left:1ex">
<br>
Worker - Worker: one-to-one communication<br></blockquote><div><br></div><d=
iv>This is a little tricky to do since Kafka is based on a publisher-subscr=
iber but you<br></div><div>can create a topic for each worker to read from =
and when another worker wants to<br></div><div>send a message, they write t=
o that topic.<br></div><div>=C2=A0</div><blockquote class=3D"gmail_quote" s=
tyle=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<br>
Worker-all Workers: for the lookahead.<br></blockquote><div><br></div><div>=
This should be similar to master-worker.<br><br></div><div>You can do all t=
his with n + 2 topics for n workers.<br></div><div>1 global topic which all=
 workers read from. Master and other workers write to this.<br>1 global top=
ic which only master reads from. All workers write to this topic.<br></div>=
<div>n worker specific topics where other workers and master write for one-=
to-one messages<br><br></div><div>The messages should include an id so that=
 readers can identify who sent it.</div><div>=C2=A0</div><blockquote class=
=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padd=
ing-left:1ex">
<br>
Orthogonally to all this: we might want to change masters<br>
or have multiple masters and then a super-master. <br></blockquote><blockqu=
ote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc s=
olid;padding-left:1ex">
Is there a good Kafka way to do all this and are there examples<br>
online of this that you know of? <br></blockquote><br></div><div class=3D"g=
mail_quote">Google should help with the examples for the library and langua=
ge you are<br></div><div class=3D"gmail_quote">using. :)<br></div><div clas=
s=3D"gmail_quote"><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=
=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<br>
Warmly,<br>
Dennis<br>
<br>
<br>
</blockquote></div><br></div></div></div></div></div></div></div></div></di=
v></div></div>

--001a11427c94e55a0e056685efbc--

From shasha@cims.nyu.edu  Sun Mar 25 10:44:52 2018
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Dear Colleagues,

Emil's goals for next week:

1. making the groupby query doing with proper testing.

2. related work one paper this week.

Warmly,
Dennis

From shasha@cims.nyu.edu  Sun Apr  8 10:11:11 2018
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Overall work for presentation and report:

1. Related work section. 
2. General design for all the various parallelizations,
including incorporating Jose's code and easy to add new stuff.
3. Group by implementation.

Emil will work on 2 and 3 for next week.

Warmly,
Dennis

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Dear Colleagues,
First let me applaud you for these extensions.
I think they are long overdue.

Second, please permit me to suggest you consider
drawing in some features of a language which you refer to
briefly, which is AQuery.
We developed it in the early 2000s to reflect the time
series queries that come up in finance where I was consulting.
Time series and streams aren't the same of course, but they have
a lot in common.
The basic idea of aquery is to add an assuming order clause which
transforms a table to an array ordered by one or more columns.
This is on the semantic not implementation level. Once we have order,
we can do moving aggregages (e.g. running
sums), windowed aggregates (e.g. 10-second moving average),
joined comparative aggregages (e.g. when does the 
10 second moving average of sensor 1 exceed the 10 second
moving average of sensor 2).

These slides show the basics of the language and some implementation
notes:

http://cs.nyu.edu/cs/faculty/shasha/papers/dennispresentation.pdf

Warmly,
Dennis

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In-Reply-To: <201909091224.x89COx8V026011@access2.cims.nyu.edu>
From: José Pablo Cambronero <josepablocam@gmail.com>
Date: Mon, 9 Sep 2019 14:15:12 -0400
Message-ID: <CALMO8xaW_wxaEjxMEf4nrMDDW+Bf8Md+qZwztQ0nE8VtUufkFQ@mail.gmail.com>
Subject: Re: reprozip and homework submission
To: Dennis Shasha <shasha@cims.nyu.edu>
Cc: db3957@nyu.edu
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Part 1:
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Dennis and Devina,

The repo is actually already public, the issue here seems to be cloning
with ssh rather than https (
https://urldefense.proofpoint.com/v2/url?u=https-3A__help.github.com_en_articles_which-2Dremote-2Durl-2Dshould-2Di-2Duse&d=DwIFaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=m1h4-YpxP3ACZiXqshghFqmEkOdDmi24rLo2VFmTub8&m=hMQghWTNDM6Ex13YrGGMYCGctdHDT7EZO0d4N8Xz184&s=Rt4VU0nXVanwkLw3vdmetdwOEOzfkb8AY2_GJS7ldjE&e= ).

The command below should work, if not, please let me know.

git clone https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_josepablocam_aquery.git&d=DwIFaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=m1h4-YpxP3ACZiXqshghFqmEkOdDmi24rLo2VFmTub8&m=hMQghWTNDM6Ex13YrGGMYCGctdHDT7EZO0d4N8Xz184&s=DE0ICJCuPXxspToslzq1TWWuEi0pkFp9GkfnhA2o0ho&e= 

Best,

José


On Mon, Sep 9, 2019 at 8:25 AM Dennis Shasha <shasha@cims.nyu.edu> wrote:

> Hmm. Jose, could you let Devina know?
> It's fine if the repository is public for reading purposes in my view.
> Warmly,
> Dennis
>
> Devina Bisen <db3957@nyu.edu> wrote:
>
> > Dear Professor,
> >
> > I have a quick question, I am getting an error in cloning the GitHub
> > repository: git clone git@github.com:josepablocam/aquery.git
> > It says permission denied.
> > Are there any special access rights that I need?
> >
> > Many thanks,
> > Devina
> >
> >
> > On Mon, Sep 9, 2019 at 4:24 AM Dennis Shasha <shasha@cims.nyu.edu>
> wrote:
> >
> > > Excellent. Warmly, Dennis
> > >
> > > Devina Bisen <db3957@nyu.edu> wrote:
> > >
> > > > I think it's fine for the final project, I would want to get it via
> mail.
> > > >
> > > > Thanks!
> > > >
> > > >
> > > > On Mon, Sep 9, 2019 at 12:24 AM Dennis Shasha <shasha@cims.nyu.edu>
> > > wrote:
> > > >
> > > > > Great. So for the final project, should they upload to NYU classes?
> > > > > Right now, the doc reads "send to Devina".
> > > > > Thanks,
> > > > > Dennis
> > > > >
> > > > > Devina Bisen <db3957@nyu.edu> wrote:
> > > > >
> > > > > > Dear Professor,
> > > > > >
> > > > > > Thanks for adding my email. It's great that you encourage
> students
> > > to use
> > > > > > NYU classes and I too think that they should use the same. I'll
> be
> > > glad
> > > > > to
> > > > > > look into any specific queries that come up otherwise.
> > > > > >
> > > > > >
> > > > > > Thanks.
> > > > > >
> > > > > > On Sun, Sep 8, 2019 at 7:42 AM Dennis Shasha <
> shasha@cims.nyu.edu>
> > > > > wrote:
> > > > > >
> > > > > > > Looks great. Thanks very much.
> > > > > > > I added in your email to the document.
> > > > > > > Or should they use classes?
> > > > > > >
> > > > > > > Dennis
> > > > > > >
> > > > > > > Devina Bisen <db3957@nyu.edu> wrote:
> > > > > > >
> > > > > > > > Dear Professor,
> > > > > > > >
> > > > > > > > I have made the necessary changes, please find the updated
> file
> > > > > attached.
> > > > > > > >
> > > > > > > > Thanks for the corrections.
> > > > > > > >
> > > > > > > > On Sun, Sep 8, 2019 at 2:40 AM Dennis Shasha <
> > > shasha@cims.nyu.edu>
> > > > > > > wrote:
> > > > > > > >
> > > > > > > > > Dear Devina,
> > > > > > > > >
> > > > > > > > > Great. Could you make the documentation suitably more
> generic
> > > then?
> > > > > > > > > Please use this version as I have slightly corrected the
> > > grammar in
> > > > > > > > > a few places:
> > > > > > > > >
> > > > > > > > >
> > > > >
> http://cs.nyu.edu/courses/fall19/CSCI-GA.2434-001/Reprozip_ReadME.docx
> > > > > > > > >
> > > > > > > > > Warmly,
> > > > > > > > > Dennis
> > > > > > > > >
> > > > > > > > > Devina Bisen <db3957@nyu.edu> wrote:
> > > > > > > > >
> > > > > > > > > > Dear Professor,
> > > > > > > > > >
> > > > > > > > > > No that's just an example, they'll have to use their
> account
> > > > > and/or
> > > > > > > file
> > > > > > > > > > path according their systems to run those commands.
> > > > > > > > > >
> > > > > > > > > > Thanks,
> > > > > > > > > > Devina
> > > > > > > > > >
> > > > > > > > > > On Sun, Sep 8, 2019 at 2:33 AM Dennis Shasha <
> > > > > shasha@cims.nyu.edu>
> > > > > > > > > wrote:
> > > > > > > > > >
> > > > > > > > > > > Dear Devina,
> > > > > > > > > > > The reprozip description is good. Are you sure the scp
> to
> > > your
> > > > > > > > > > > account will work for someone else without their
> knowing
> > > your
> > > > > > > password?
> > > > > > > > > > > In the meantime, I will upload it.
> > > > > > > > > > > Warmly,
> > > > > > > > > > > Dennis
> > > > > > > > > > >
> > > > > > > > > > > Devina Bisen <db3957@nyu.edu> wrote:
> > > > > > > > > > >
> > > > > > > > > > > > Dear Professor,
> > > > > > > > > > > >
> > > > > > > > > > > > Here's an update:
> > > > > > > > > > > >
> > > > > > > > > > > > 1. Attached is the required document for Reprozip,
> please
> > > > > let me
> > > > > > > > > know if
> > > > > > > > > > > > you would like to have any changes.
> > > > > > > > > > > > 2. I am working on Aquey documentation
> > > > > > > > > > > > 3. The classes site looks fine and all set, was just
> > > > > wondering
> > > > > > > if the
> > > > > > > > > > > > Assignment 2 is only of 70 marks this time?
> > > > > > > > > > > >
> > > > > > > > > > > > Many thanks,
> > > > > > > > > > > > Devina
> > > > > > > > > > > >
> > > > > > > > > > > > On Sat, Sep 7, 2019 at 8:05 AM Dennis Shasha <
> > > > > > > shasha@cims.nyu.edu>
> > > > > > > > > > > wrote:
> > > > > > > > > > > >
> > > > > > > > > > > > >
> > > > > > > > > > > > > Dear Devina,
> > > > > > > > > > > > > Over the next week, please try to accomplish the
> > > following:
> > > > > > > > > > > > >
> > > > > > > > > > > > > 1. Write up a description of how to use reprozip
> (from
> > > > > where to
> > > > > > > > > > > download,
> > > > > > > > > > > > > how to invoke, with an example).
> > > > > > > > > > > > >
> > > > > > > > > > > > > 2. Ditto for aquery.
> > > > > > > > > > > > >
> > > > > > > > > > > > > 3. Ensure that the classes site for our course is
> > > properly
> > > > > set
> > > > > > > up
> > > > > > > > > > > > > for submissions for both homeworks and final
> projects.
> > > > > > > > > > > > >
> > > > > > > > > > > > > Warmly,
> > > > > > > > > > > > > Dennis
> > > > > > > > > > > > >
> > > > > > > > > > > > >
> > > > > > > > > > >
> > > > > > > > >
> > > > > > >
> > > > >
> > >
>


-- 
Jose Pablo Cambronero

Part 2:
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<div dir="ltr"><div dir="ltr">Dennis and Devina,<div><br></div><div>The repo is actually already public, the issue here seems to be cloning with ssh rather than https (<a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__help.github.com_en_articles_which-2Dremote-2Durl-2Dshould-2Di-2Duse&d=DwMFaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=m1h4-YpxP3ACZiXqshghFqmEkOdDmi24rLo2VFmTub8&m=hMQghWTNDM6Ex13YrGGMYCGctdHDT7EZO0d4N8Xz184&s=Rt4VU0nXVanwkLw3vdmetdwOEOzfkb8AY2_GJS7ldjE&e=">https://help.github.com/en/articles/which-remote-url-should-i-use</a>).</div><div><br></div><div>The command below should work, if not, please let me know.</div><div><br></div><div>git clone <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_josepablocam_aquery.git&d=DwMFaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=m1h4-YpxP3ACZiXqshghFqmEkOdDmi24rLo2VFmTub8&m=hMQghWTNDM6Ex13YrGGMYCGctdHDT7EZO0d4N8Xz184&s=DE0ICJCuPXxspToslzq1TWWuEi0pkFp9GkfnhA2o0ho&e=">https://github.com/josepablocam/aquery.git</a><br></div><div><br></div><div>Best,</div><div><br></div><div>José</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Sep 9, 2019 at 8:25 AM Dennis Shasha &lt;<a href="mailto:shasha@cims.nyu.edu">shasha@cims.nyu.edu</a>&gt; wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Hmm. Jose, could you let Devina know?<br>
It&#39;s fine if the repository is public for reading purposes in my view.<br>
Warmly,<br>
Dennis<br>
<br>
Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
<br>
&gt; Dear Professor,<br>
&gt;<br>
&gt; I have a quick question, I am getting an error in cloning the GitHub<br>
&gt; repository: git clone git@github.com:josepablocam/aquery.git<br>
&gt; It says permission denied.<br>
&gt; Are there any special access rights that I need?<br>
&gt;<br>
&gt; Many thanks,<br>
&gt; Devina<br>
&gt;<br>
&gt;<br>
&gt; On Mon, Sep 9, 2019 at 4:24 AM Dennis Shasha &lt;<a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt; wrote:<br>
&gt;<br>
&gt; &gt; Excellent. Warmly, Dennis<br>
&gt; &gt;<br>
&gt; &gt; Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
&gt; &gt;<br>
&gt; &gt; &gt; I think it&#39;s fine for the final project, I would want to get it via mail.<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; Thanks!<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; On Mon, Sep 9, 2019 at 12:24 AM Dennis Shasha &lt;<a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; wrote:<br>
&gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; Great. So for the final project, should they upload to NYU classes?<br>
&gt; &gt; &gt; &gt; Right now, the doc reads &quot;send to Devina&quot;.<br>
&gt; &gt; &gt; &gt; Thanks,<br>
&gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
&gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; Dear Professor,<br>
&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; Thanks for adding my email. It&#39;s great that you encourage students<br>
&gt; &gt; to use<br>
&gt; &gt; &gt; &gt; &gt; NYU classes and I too think that they should use the same. I&#39;ll be<br>
&gt; &gt; glad<br>
&gt; &gt; &gt; &gt; to<br>
&gt; &gt; &gt; &gt; &gt; look into any specific queries that come up otherwise.<br>
&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; Thanks.<br>
&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; On Sun, Sep 8, 2019 at 7:42 AM Dennis Shasha &lt;<a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; &gt; &gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; Looks great. Thanks very much.<br>
&gt; &gt; &gt; &gt; &gt; &gt; I added in your email to the document.<br>
&gt; &gt; &gt; &gt; &gt; &gt; Or should they use classes?<br>
&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Professor,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; I have made the necessary changes, please find the updated file<br>
&gt; &gt; &gt; &gt; attached.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; Thanks for the corrections.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; On Sun, Sep 8, 2019 at 2:40 AM Dennis Shasha &lt;<br>
&gt; &gt; <a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Devina,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Great. Could you make the documentation suitably more generic<br>
&gt; &gt; then?<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Please use this version as I have slightly corrected the<br>
&gt; &gt; grammar in<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; a few places:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; <a href="http://cs.nyu.edu/courses/fall19/CSCI-GA.2434-001/Reprozip_ReadME.docx" rel="noreferrer" target="_blank">http://cs.nyu.edu/courses/fall19/CSCI-GA.2434-001/Reprozip_ReadME.docx</a><br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Professor,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; No that&#39;s just an example, they&#39;ll have to use their account<br>
&gt; &gt; &gt; &gt; and/or<br>
&gt; &gt; &gt; &gt; &gt; &gt; file<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; path according their systems to run those commands.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Thanks,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Devina<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; On Sun, Sep 8, 2019 at 2:33 AM Dennis Shasha &lt;<br>
&gt; &gt; &gt; &gt; <a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Devina,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; The reprozip description is good. Are you sure the scp to<br>
&gt; &gt; your<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; account will work for someone else without their knowing<br>
&gt; &gt; your<br>
&gt; &gt; &gt; &gt; &gt; &gt; password?<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; In the meantime, I will upload it.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Devina Bisen &lt;<a href="mailto:db3957@nyu.edu" target="_blank">db3957@nyu.edu</a>&gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Professor,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Here&#39;s an update:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 1. Attached is the required document for Reprozip, please<br>
&gt; &gt; &gt; &gt; let me<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; know if<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; you would like to have any changes.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 2. I am working on Aquey documentation<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 3. The classes site looks fine and all set, was just<br>
&gt; &gt; &gt; &gt; wondering<br>
&gt; &gt; &gt; &gt; &gt; &gt; if the<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Assignment 2 is only of 70 marks this time?<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Many thanks,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Devina<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; On Sat, Sep 7, 2019 at 8:05 AM Dennis Shasha &lt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; <a href="mailto:shasha@cims.nyu.edu" target="_blank">shasha@cims.nyu.edu</a>&gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; wrote:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dear Devina,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Over the next week, please try to accomplish the<br>
&gt; &gt; following:<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 1. Write up a description of how to use reprozip (from<br>
&gt; &gt; &gt; &gt; where to<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; download,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; how to invoke, with an example).<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 2. Ditto for aquery.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; 3. Ensure that the classes site for our course is<br>
&gt; &gt; properly<br>
&gt; &gt; &gt; &gt; set<br>
&gt; &gt; &gt; &gt; &gt; &gt; up<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; for submissions for both homeworks and final projects.<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Warmly,<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; Dennis<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt; &gt; &gt;<br>
&gt; &gt; &gt; &gt;<br>
&gt; &gt;<br>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature">Jose Pablo Cambronero</div></div>
From shasha@cims.nyu.edu  Sat Sep 21 11:39:08 2019
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From: Dennis Shasha <shasha@cims.nyu.edu>
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        stratos@seas.harvard.edu, shasha@cs.nyu.edu, shasha@cs.nyu.edu,
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Dear Colleagues,

To make the algebra simple and based on the examples we've seen
from benchmark queries  (see the overleaf paper), we think that the algebra
should be based on a "streamed arrable". (An arrable is a table that 
can be ordered on one or more columns and then operators like moving averages
can take advantage of those orders.)
The streaming on an arrable will be a modifier
that says something like "no more than 10 seconds delay"
which means that the arrable must be up-to-date to within 10 seconds.
We think that this is better than approaches like Calcite which have
both tables and streams but that are separate.
Algebras should have just one object.

Our next steps are:
Ahmad will look at the query processing techniques used for Aquery
and extend those to support triggers and streaming.
He will reimplement in the k7 language which will be free for use.

Kostas will be doing the same but on his own platform which is C++.

We will be working on primitives to support this model.

Warmly,
Kostas, Ahmad, Dennis






From shasha@cims.nyu.edu  Sat Sep 21 11:59:08 2019
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Subject: some ideas about the algebra to discuss next week
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Dear Friends,

The algebra in Aquery has sort, moving aggregates and user defined functions,
plus the standard select, project, join, group by
plus ordered versions of the standard operators.
Plus the ability to create vectors in a field through group by
and to flatten.

The algebra in Hill And Dale should be the same as above,
but for purposes both of streaming and of triggers should be able to 
perform incremental operators e.g. incremental joins whether ordered or not
incremental selects and incremental moving aggregates.

Ahmad, if you can tease out the algebra of Aquery and think
at least on paper how you would add what is needed in Hill and Dale,
then that would be a good start.

Warmly,
Dennis

