Re: POC, WIP: OR-clause support for indexes

Alena Rybakina <lena.ribackina@yandex.ru>

From: Alena Rybakina <lena.ribackina@yandex.ru>
To: Peter Geoghegan <pg@bowt.ie>
Cc: Marcos Pegoraro <marcos@f10.com.br>, Alena Rybakina <a.rybakina@postgrespro.ru>, Andrey Lepikhov <a.lepikhov@postgrespro.ru>, pgsql-hackers@postgresql.org, teodor@sigaev.ru
Date: 2023-06-27T13:19:48Z
Lists: pgsql-hackers

Commits

Same data as JSON: GET /api/v1/messages/:b64id/commits the thread's linked commits as JSON, with link sources. API reference →
  1. Make group_similar_or_args() reorder clause list as little as possible

  2. Allow usage of match_orclause_to_indexcol() for joins

  3. Skip not SOAP-supported indexes while transforming an OR clause into SAOP

  4. Remove the wrong assertion from match_orclause_to_indexcol()

  5. Teach bitmap path generation about transforming OR-clauses to SAOP's

  6. Transform OR-clauses to SAOP's during index matching

  7. Fix the value of or_to_any_transform_limit in postgresql.conf.sample

  8. Transform OR clauses to ANY expression

  9. MergeAttributes code deduplication

  10. SEARCH and CYCLE clauses

  11. Improve estimation of OR clauses using extended statistics.

  12. Teach btree to handle ScalarArrayOpExpr quals natively.

  13. Revise collation derivation method and expression-tree representation.

  14. Instead of trying to force WHERE clauses into CNF or DNF normal form,

Attachments

On 26.06.2023 06:18, Peter Geoghegan wrote:
> On Sun, Jun 25, 2023 at 6:48 PM Alena Rybakina<lena.ribackina@yandex.ru>  wrote:
>> I finished writing the code patch for transformation "Or" expressions to "Any" expressions.
> This seems interesting to me. I'm currently working on improving
> nbtree's "native execution of ScalarArrayOpExpr quals" (see commit
> 9e8da0f7 for background information). That is relevant to what you're
> trying to do here.
>
> Right now nbtree's handling of ScalarArrayOpExpr is rather
> inefficient. The executor does pass the index scan an array of
> constants, so the whole structure already allows the nbtree code to
> execute the ScalarArrayOpExpr in whatever way would be most efficient.
> There is only one problem: it doesn't really try to do so. It more or
> less just breaks down the large ScalarArrayOpExpr into "mini" queries
> -- one per constant. Internally, query execution isn't significantly
> different to executing many of these "mini" queries independently. We
> just sort and deduplicate the arrays. We don't intelligently decide
> which pages dynamically. This is related to skip scan.
>
> Attached is an example query that shows the problem. Right now the
> query needs to access a buffer containing an index page a total of 24
> times. It's actually accessing the same 2 pages 12 times. My draft
> patch only requires 2 buffer accesses -- because it "coalesces the
> array constants together" dynamically at run time. That is a little
> extreme, but it's certainly possible.
>
> BTW, this project is related to skip scan. It's part of the same
> family of techniques -- MDAM techniques. (I suppose that that's
> already true for ScalarArrayOpExpr execution by nbtree, but without
> dynamic behavior it's not nearly as valuable as it could be.)
>
> If executing ScalarArrayOpExprs was less inefficient in these cases
> then the planner could be a lot more aggressive about using them.
> Seems like these executor improvements might go well together with
> what you're doing in the planner. Note that I have to "set
> random_page_cost=0.1" to get the planner to use all of the quals from
> the query as index quals. It thinks (correctly) that the query plan is
> very inefficient. That happens to match reality right now, but the
> underlying reality could change significantly. Something to think
> about.
>
> --
> Peter Geoghegan
Thank you for your feedback, your work is also very interesting and 
important, and I will be happy to review it. I learned something new 
from your letter, thank you very much for that!

I analyzed the buffer consumption when I ran control regression tests 
using my patch. diff shows me that there is no difference between the 
number of buffer block scans without and using my patch, as far as I 
have seen. (regression.diffs)


In addition, I analyzed the scheduling and duration of the execution 
time of the source code and with my applied patch. I generated 20 
billion data from pgbench and plotted the scheduling and execution time 
depending on the number of "or" expressions.
By runtime, I noticed a clear acceleration for queries when using the 
index, but I can't say the same when the index is disabled.
At first I turned it off in this way:
1)enable_seqscan='off'
2)enable_indexonlyscan='off'
enable_indexscan='off'

Unfortunately, it is not yet clear which constant needs to be set when 
the transformation needs to be done, I will still study in detail. (the 
graph for all this is presented in graph1.svg)
\\

-- 
Regards,
Alena Rybakina