Re: Adding skip scan (including MDAM style range skip scan) to nbtree

Masahiro Ikeda <ikedamsh@oss.nttdata.com>

From: Masahiro Ikeda <ikedamsh@oss.nttdata.com>
To: Peter Geoghegan <pg@bowt.ie>
Cc: Tomas Vondra <tomas@vondra.me>, Masahiro.Ikeda@nttdata.com, pgsql-hackers@lists.postgresql.org, Masao.Fujii@nttdata.com
Date: 2024-11-20T09:04:19Z
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. nbtree: Always set skipScan flag on rescan.

  2. meson: Build numeric.c with -ftree-vectorize.

  3. Fix "variable not found in subplan target lists" in semijoin de-duplication.

  4. Revert "nbtree: Remove useless row compare arg."

  5. nbtree: Remove useless row compare arg.

  6. Prevent premature nbtree array advancement.

  7. nbtree: tighten up array recheck rules.

  8. Avoid treating nonrequired nbtree keys as required.

  9. Adjust overstrong nbtree skip array assertion.

  10. Make NULL tuple values always advance skip arrays.

  11. Avoid extra index searches through preprocessing.

  12. Improve nbtree skip scan primitive scan scheduling.

  13. Further optimize nbtree search scan key comparisons.

  14. Add nbtree skip scan optimization.

  15. Improve nbtree array primitive scan scheduling.

  16. nbtree: Make BTMaxItemSize into object-like macro.

  17. Show index search count in EXPLAIN ANALYZE, take 2.

  18. Make parallel nbtree index scans use an LWLock.

  19. Show index search count in EXPLAIN ANALYZE.

  20. Avoid nbtree parallel scan currPos confusion.

  21. nbtree: Remove useless 'strat' local variable.

  22. Normalize nbtree truncated high key array behavior.

  23. Refactor handling of nbtree array redundancies.

  24. Fix nbtree pgstats accounting with parallel scans.

  25. Avoid parallel nbtree index scan hangs with SAOPs.

  26. Show Parallel Bitmap Heap Scan worker stats in EXPLAIN ANALYZE

  27. Enhance nbtree ScalarArrayOp execution.

  28. Skip checking of scan keys required for directional scan in B-tree

  29. Instead of using a numberOfRequiredKeys count to distinguish required

Attachments

Hi Peter,

On 2024-11-20 04:06, Peter Geoghegan wrote:
> Hi Masahiro,
> 
> On Tue, Nov 19, 2024 at 3:30 AM Masahiro Ikeda 
> <ikedamsh@oss.nttdata.com> wrote:
>> Apologies for the delayed response. I've confirmed that the costing is
>> significantly
>> improved for multicolumn indexes in the case I provided. Thanks!
>> https://www.postgresql.org/message-id/TYWPR01MB10982A413E0EC4088E78C0E11B1A62%40TYWPR01MB10982.jpnprd01.prod.outlook.com
> 
> Great! I made it one of my private/internal test cases for the
> costing. Your test case was quite helpful.
> 
> Attached is v15. It works through your feedback.
> 
> Importantly, v15 has a new patch which has a fix for your test.sql
> case -- which is the most important outstanding problem with the patch
> (and has been for a long time now). I've broken those changes out into
> a separate patch because they're still experimental, and have some
> known minor bugs. But it works well enough for you to assess how close
> I am to satisfactorily fixing the known regressions, so it seems worth
> posting quickly.

Thanks for your quick response!

>> IIUC, why not add it to the documentation? It would clearly help users
>> understand how to tune their queries using the counter, and it would
>> also show that the counter is not just for developers.
> 
> The documentation definitely needs more work. I have a personal TODO
> item about that.
> 
> Changes to the documentation can be surprisingly contentious, so I
> often work on it last, when we have the clearest picture of how to
> talk about the feature. For example, Matthias said something that's
> approximately the opposite of what you said about it (though I agree
> with you about it).

OK, I understood.

>>  From the perspective of consistency, wouldn't it be better to align 
>> the
>> naming
>> between the EXPLAIN output and pg_stat_all_indexes.idx_scan, even 
>> though
>> the
>> documentation states they refer to the same concept?
>> 
>> I personally prefer something like "search" instead of "scan", as 
>> "scan"
>> is
>> commonly associated with node names like Index Scan and similar terms.
>> To maintain
>> consistency, how about renaming pg_stat_all_indexes.idx_scan to
>> pg_stat_all_indexes.idx_search?
> 
> I suspect that other hackers will reject that proposal on
> compatibility grounds, even though it would make sense in a "green
> field" situation.
> 
> Honestly, discussions about UI/UX details such as EXPLAIN ANALYZE
> always tend to result in unproductive bikeshedding. What I really want
> is something that will be acceptable to all parties. I don't have any
> strong opinions of my own about it -- I just think that it's important
> to show *something* like "Index Searches: N" to make skip scan user
> friendly.

OK, I agree.

>> Although it's not an optimal solution and would only reduce the degree
>> of performance
>> degradation, how about introducing a threshold per page to switch from
>> skip scan to full
>> index scan?
> 
> The approach to fixing these regressions from the new experimental
> patch doesn't need to use any such threshold. It is effective both
> with simple "WHERE id2 = 100" cases (like the queries from your
> test.sql test case), as well as more complicated "WHERE id2 BETWEEN 99
> AND 101" inequality cases.
> 
> What do you think? The regressions are easily under 5% with the new
> patch applied, which is in the noise.

I didn't come up with the idea. At first glance, your idea seems good
for all cases.

Actually, test.sql shows a performance improvement, and the performance
is almost the same as the master's seqscan. To be precise, the master's
performance is 10-20% better than the v15 patch because the seqscan is
executed in parallel. However, the v15 patch is twice as fast as when
seqscan is not executed in parallel.

However, I found that there is still a problematic case when I read your
patch. IIUC, beyondskip becomes true only if the tuple's id2 is greater
than the scan key value. Therefore, the following query (see 
test_for_v15.sql)
still degrades.

-- build without '--enable-debug' '--enable-cassert' 'CFLAGS=-O0 '
-- SET skipscan_prefix_cols=32;
  Index Only Scan using t_idx on public.t  (cost=0.42..3535.75 rows=1 
width=8) (actual time=65.767..65.770 rows=1 loops=1)
    Output: id1, id2
    Index Cond: (t.id2 = 1000000)
    Index Searches: 1
    Heap Fetches: 0
    Buffers: shared hit=2736
  Settings: effective_cache_size = '7932MB', work_mem = '15MB'
  Planning Time: 0.058 ms
  Execution Time: 65.782 ms
(9 rows)

-- SET skipscan_prefix_cols=0;
  Index Only Scan using t_idx on public.t  (cost=0.42..3535.75 rows=1 
width=8) (actual time=17.276..17.278 rows=1 loops=1)
    Output: id1, id2
    Index Cond: (t.id2 = 1000000)
    Index Searches: 1
    Heap Fetches: 0
    Buffers: shared hit=2736
  Settings: effective_cache_size = '7932MB', work_mem = '15MB'
  Planning Time: 0.044 ms
  Execution Time: 17.290 ms
(9 rows)

I’m reporting the above result, though you might already be aware of the 
issue.

> At the same time, we're just as capable of skipping whenever the scan
> encounters a large group of skipped-prefix-column duplicates. For
> example, if I take your test.sql test case and add another insert that
> adds such a group (e.g., "INSERT INTO t SELECT 55, i FROM
> generate_series(-1000000, 1000000) i;" ), and then re-run the query,
> the scan is exactly as fast as before -- it just skips to get over the
> newly inserted "55" group of tuples. Obviously, this also makes the
> master branch far, far slower.
> 
> As I've said many times already, the need to be flexible and offer
> robust performance in cases where skipping is either very effective or
> very ineffective *during the same index scan* seems very important to
> me. This "55" variant of your test.sql test case is a great example of
> the kinds of cases I was thinking about.

Yes, I agree. Therefore, even if I can't think of a way to prevent 
regressions
or if I can only think of improvements that would significantly 
sacrifice the
benefits of skip scan, I would still like to report any regression cases 
if
they occur.

There may be a better way, such as the new idea you suggested, and I 
think there
is room for discussion regarding how far we should go in handling 
regressions,
regardless of whether we choose to accept regressions or sacrifice the 
benefits of
skip scan to address them.

Regards,
-- 
Masahiro Ikeda
NTT DATA CORPORATION