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: 2024-01-21T23:39:14Z
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 1/21/24 20:50, Konstantin Knizhnik wrote:
> 
> On 20/01/2024 12:14 am, Tomas Vondra wrote:
>> 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).
> 
> We are comparing compound index (a,b) and covering (inclusive) index (a)
> include (b)
> This indexes have exactly the same width and size and almost the same
> maintenance overhead.
> 
> First index has more expensive comparison function (involving two
> columns)  but I do not think that it can significantly affect
> performance and maintenance cost. Also if selectivity of "a" is good
> enough, then there is no need to compare "b"
> 
> Why we can prefer covering index  to compound index? I see only two good
> reasons:
> 1. Extra columns type do not  have comparison function need for AM.
> 2. The extra columns are never used in query predicate.
> 

Or maybe you don't want to include the columns in a UNIQUE constraint?

> If you are going to use this columns in query predicates I do not see
> much sense in creating inclusive index rather than compound index.
> Do you?
> 

But this is also about conditions that can't be translated into index
scan keys. Consider this:

create table t (a int, b int, c int);
insert into t select 1000 * random(), 1000 * random(), 1000 * random()
from generate_series(1,1000000) s(i);
create index on t (a,b);
vacuum analyze t;

explain (analyze, buffers) select * from t where a = 10 and mod(b,10) =
1111111;
                                                   QUERY PLAN

-----------------------------------------------------------------------------------------------------------------
 Index Scan using t_a_b_idx on t  (cost=0.42..3670.74 rows=5 width=12)
(actual time=4.562..4.564 rows=0 loops=1)
   Index Cond: (a = 10)
   Filter: (mod(b, 10) = 1111111)
   Rows Removed by Filter: 974
   Buffers: shared hit=980
   Prefetches: blocks=901
 Planning Time: 0.304 ms
 Execution Time: 5.146 ms
(8 rows)

Notice that this still fetched ~1000 buffers in order to evaluate the
filter on "b", because it's complex and can't be transformed into a nice
scan key. Or this:

explain (analyze, buffers) select a from t where a = 10 and (b+1) < 100
                                             and c < 0;


                                                   QUERY PLAN
----------------------------------------------------------------------------------------------------------------
 Index Scan using t_a_b_idx on t  (cost=0.42..3673.22 rows=1 width=4)
(actual time=4.446..4.448 rows=0 loops=1)
   Index Cond: (a = 10)
   Filter: ((c < 0) AND ((b + 1) < 100))
   Rows Removed by Filter: 974
   Buffers: shared hit=980
   Prefetches: blocks=901
 Planning Time: 0.313 ms
 Execution Time: 4.878 ms
(8 rows)

where it's "broken" by the extra unindexed column.

FWIW there are the primary cases I had in mind for this patch.


> 
>> 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?
> 
> May be I missed something.
> 
> This is the example from
> https://www.postgresql.org/message-id/flat/N1xaIrU29uk5YxLyW55MGk5fz9s6V2FNtj54JRaVlFbPixD5z8sJ07Ite5CvbWwik8ZvDG07oSTN-usENLVMq2UAcizVTEd5b-o16ZGDIIU=@yamlcoder.me :
> 
> ```
> 
> And here is the plan with index on (a,b).
> 
> Limit (cost=0.42..4447.90 rows=1 width=12) (actual time=6.883..6.884
> rows=0 loops=1)    Output: a, b, d    Buffers: shared hit=613    ->
> Index Scan using t_a_b_idx on public.t (cost=0.42..4447.90 rows=1
> width=12) (actual time=6.880..6.881 rows=0 loops=1)          Output: a,
> b, d          Index Cond: ((t.a > 1000000) AND (t.b = 4))      
>    Buffers: shared hit=613 Planning:    Buffers: shared hit=41 Planning
> Time: 0.314 ms Execution Time: 6.910 ms ```
> 
> 
> Isn't it an optimal plan for this query?
> 
> And cite from self reproducible example https://dbfiddle.uk/iehtq44L :
> ```
> create unique index t_a_include_b on t(a) include (b);
> -- I'd expecd index above to behave the same as index below for this query
> --create unique index on t(a,b);
> ```
> 
> I agree that it is natural to expect the same result for both indexes.
> So this PR definitely makes sense.
> My point is only that compound index (a,b) in this case is more natural
> and preferable.
> 

Yes, perhaps. But you may also see it from the other direction - if you
already have an index with included columns (for whatever reason), it
would be nice to leverage that if possible. And as I mentioned above,
it's not always the case that move a column from "included" to a proper
key, or stuff like that.

Anyway, it seems entirely unrelated to this prefetching thread.


regards

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