Re: [PATCH] Incremental sort (was: PoC: Partial sort)

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От James Coleman
Тема Re: [PATCH] Incremental sort (was: PoC: Partial sort)
Дата
Msg-id CAAaqYe8-TCKPskcMytCMX2aM8QnnrgcJP6=tSnJOuQ2CcuQJfg@mail.gmail.com
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Ответ на Re: [PATCH] Incremental sort (was: PoC: Partial sort)  (Tomas Vondra <tomas.vondra@2ndquadrant.com>)
Ответы Re: [PATCH] Incremental sort (was: PoC: Partial sort)  (James Coleman <jtc331@gmail.com>)
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On Tue, Mar 10, 2020 at 10:44 PM Tomas Vondra
<tomas.vondra@2ndquadrant.com> wrote:
> 3) Most of the execution plans look reasonable, except that some of the
> plans look like this:
>
>
>                           QUERY PLAN
>    ---------------------------------------------------------
>     Limit
>       ->  GroupAggregate
>             Group Key: t.a, t.b, t.c, t.d
>             ->  Incremental Sort
>                   Sort Key: t.a, t.b, t.c, t.d
>                   Presorted Key: t.a, t.b, t.c
>                   ->  Incremental Sort
>                         Sort Key: t.a, t.b, t.c
>                         Presorted Key: t.a, t.b
>                         ->  Index Scan using t_a_b_idx on t
>    (10 rows)
>
> i.e. there are two incremental sorts on top of each other, with
> different prefixes. But this this is not a new issue - it happens with
> queries like this:
>
>    SELECT a, b, c, d, count(*) FROM (
>      SELECT * FROM t ORDER BY a, b, c
>    ) foo GROUP BY a, b, c, d limit 1000;
>
> i.e. there's a subquery with a subset of pathkeys. Without incremental
> sort the plan looks like this:
>
>                     QUERY PLAN
>    ---------------------------------------------
>     Limit
>       ->  GroupAggregate
>             Group Key: t.a, t.b, t.c, t.d
>             ->  Sort
>                   Sort Key: t.a, t.b, t.c, t.d
>                   ->  Sort
>                         Sort Key: t.a, t.b, t.c
>                         ->  Seq Scan on t
>    (8 rows)
>
> so essentially the same plan shape. What bugs me though is that there
> seems to be some sort of memory leak, so that this query consumes
> gigabytes os RAM before it gets killed by OOM. But the memory seems not
> to be allocated in any memory context (at least MemoryContextStats don't
> show anything like that), so I'm not sure what's going on.
>
> Reproducing it is fairly simple:
>
>    CREATE TABLE t (a bigint, b bigint, c bigint, d bigint);
>    INSERT INTO t SELECT
>      1000*random(), 1000*random(), 1000*random(), 1000*random()
>    FROM generate_series(1,10000000) s(i);
>    CREATE INDEX idx ON t(a,b);
>    ANALYZE t;
>
>    EXPLAIN ANALYZE SELECT a, b, c, d, count(*)
>    FROM (SELECT * FROM t ORDER BY a, b, c) foo GROUP BY a, b, c, d
>    LIMIT 100;

While trying to reproduce this, instead of lots of memory usage, I got
the attached assertion failure instead.

James

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