Re: Parallel tuplesort (for parallel B-Tree index creation)

Claudio Freire <klaussfreire@gmail.com>

From: Claudio Freire <klaussfreire@gmail.com>
To: Peter Geoghegan <pg@heroku.com>
Cc: Robert Haas <robertmhaas@gmail.com>, Pg Hackers <pgsql-hackers@postgresql.org>, Corey Huinker <corey.huinker@gmail.com>
Date: 2016-09-08T17:18:49Z
Lists: pgsql-hackers
On Thu, Sep 8, 2016 at 2:13 PM, Peter Geoghegan <pg@heroku.com> wrote:
> On Thu, Sep 8, 2016 at 8:53 AM, Claudio Freire <klaussfreire@gmail.com> wrote:
>> setup:
>>
>> create table lotsofitext(i text, j text, w text, z integer, z2 bigint);
>> insert into lotsofitext select cast(random() * 1000000000.0 as text)
>> || 'blablablawiiiiblabla', cast(random() * 1000000000.0 as text) ||
>> 'blablablawjjjblabla', cast(random() * 1000000000.0 as text) ||
>> 'blablabl
>> awwwabla', random() * 1000000000.0, random() * 1000000000000.0 from
>> generate_series(1, 10000000);
>>
>> timed:
>>
>> select count(*) FROM (select * from lotsofitext order by i, j, w, z, z2) t;
>>
>> Unpatched Time: 100351.251 ms
>> Patched Time: 75180.787 ms
>>
>> That's like a 25% speedup on random input. As we say over here, rather
>> badly translated, not a turkey's boogers (meaning "nice!")
>
> Cool! What work_mem setting were you using here?

The script iterates over a few variations of string patterns (easy
comparisons vs hard comparisons), work mem (4MB, 64MB, 256MB, 1GB,
4GB), and table sizes (~350M, ~650M, ~1.5G).

That particular case I believe is using work_mem=4MB, easy strings, 1.5GB table.


Commits

  1. Support parallel btree index builds.

  2. Report an ERROR if a parallel worker fails to start properly.

  3. Transfer state pertaining to pending REINDEX operations to workers.

  4. Add a barrier primitive for synchronizing backends.

  5. Allow DML commands that create tables to use parallel query.

  6. Refactor GetOldestXmin() to use flags

  7. Fix regression in parallel planning against inheritance tables.

  8. Don't create "holes" in BufFiles, in the new logtape code.

  9. Simplify the code for logical tape read buffers.

  10. Fix excessive memory consumption in the new sort pre-reading code.

  11. Implement binary heap replace-top operation in a smarter way.

  12. Cosmetic code cleanup in commands/extension.c.

  13. Speed up planner's scanning for parallel-query hazards.

  14. Read from the same worker repeatedly until it returns no tuple.

  15. Improve tuplesort.c to support variable merge order. The original coding