Re: index prefetching

Tomas Vondra <tomas.vondra@enterprisedb.com>

From: Tomas Vondra <tomas.vondra@enterprisedb.com>
To: Konstantin Knizhnik <knizhnik@garret.ru>
Cc: PostgreSQL Hackers <pgsql-hackers@lists.postgresql.org>
Date: 2024-01-19T22:14:12Z
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. aio: io_uring: Trigger async processing for large IOs

  2. read stream: Split decision about look ahead for AIO and combining

  3. read_stream: Only increase read-ahead distance when waiting for IO

  4. read_stream: Prevent distance from decaying too quickly

  5. Reduce ExecSeqScan* code size using pg_assume()

  6. Fix rare bug in read_stream.c's split IO handling.

  7. Fix multiranges to behave more like dependent types.

  8. Add EXPLAIN (MEMORY) to report planner memory consumption

  9. Optimize nbtree backward scan boundary cases.

  10. Increment xactCompletionCount during subtransaction abort.

  11. Add nbtree Valgrind buffer lock checks.

  12. Add nbtree high key "continuescan" optimization.

  13. Reduce pinning and buffer content locking for btree scans.

  14. Teach btree to handle ScalarArrayOpExpr quals natively.


On 1/19/24 16:19, Konstantin Knizhnik wrote:
> 
> On 18/01/2024 5:57 pm, Tomas Vondra wrote:
>> On 1/16/24 21:10, Konstantin Knizhnik wrote:
>>> ...
>>>
>>>> 4. I think that performing prefetch at executor level is really great
>>>>> idea and so prefetch can be used by all indexes, including custom
>>>>> indexes. But prefetch will be efficient only if index can provide fast
>>>>> access to next TID (located at the same page). I am not sure that
>>>>> it is
>>>>> true for all builtin indexes (GIN, GIST, BRIN,...) and especially for
>>>>> custom AM. I wonder if we should extend AM API to make index make a
>>>>> decision weather to perform prefetch of TIDs or not.
>>>> I'm not against having a flag to enable/disable prefetching, but the
>>>> question is whether doing prefetching for such indexes can be harmful.
>>>> I'm not sure about that.
>>> I tend to agree with you - it is hard to imagine index implementation
>>> which doesn't win from prefetching heap pages.
>>> May be only the filtering case you have mentioned. But it seems to me
>>> that current B-Tree index scan (not IOS) implementation in Postgres
>>> doesn't try to use index tuple to check extra condition - it will fetch
>>> heap tuple in any case.
>>>
>> That's true, but that's why I started working on this:
>>
>> https://commitfest.postgresql.org/46/4352/
>>
>> I need to think about how to combine that with the prefetching. The good
>> thing is that both changes require fetching TIDs, not slots. I think the
>> condition can be simply added to the prefetch callback.
>>
>>
>> regards
>>
> Looks like I was not true, even if it is not index-only scan but index
> condition involves only index attributes, then heap is not accessed
> until we find tuple satisfying search condition.
> Inclusive index case described above
> (https://commitfest.postgresql.org/46/4352/) is interesting but IMHO
> exotic case. If keys are actually used in search, then why not to create
> normal compound index instead?
> 

Not sure I follow ...

Firstly, I'm not convinced the example addressed by that other patch is
that exotic. IMHO it's quite possible it's actually quite common, but
the users do no realize the possible gains.

Also, there are reasons to not want very wide indexes - it has overhead
associated with maintenance, disk space, etc. I think it's perfectly
rational to design indexes in a way eliminates most heap fetches
necessary to evaluate conditions, but does not guarantee IOS (so the
last heap fetch is still needed).

What do you mean by "create normal compound index"? The patch addresses
a limitation that not every condition can be translated into a proper
scan key. Even if we improve this, there will always be such conditions.
The the IOS can evaluate them on index tuple, the regular index scan
can't do that (currently).

Can you share an example demonstrating the alternative approach?


regards

-- 
Tomas Vondra
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company