Re: EXPLAIN (no ANALYZE) taking an hour for INSERT FROM SELECT

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Hi, thanks for your follow-up questions.

- postgres version is 9.1.13
- the number of rows (in this latest instance) is 28,474,842
- I've clustered and vacuum-full-ed and analyzed this table frequently, attempting to troubleshoot this. (Running vacuum full on the whole catalog seems a little excessive, and unlikely to help.)
- no other processes are likely to be interfering; nothing other than PostgreSQL runs on this machine (except for normal OS processes and New Relic server monitoring service); concurrent activity in PostgreSQL is low-level and unrelated, and this effect is observed systematically whenever this kind of operation is performed on this table
- no override for this table; the system default_statistics_target is 100 (the default)
- yes, an ANALYZE is performed on the temp table after the COPY and before the INSERT
- no index on the temp table (but I'm scanning the whole thing anyway). There are indexes on f_foo as detailed in my original post, and I expect the PK to make the WHERE NOT EXISTS filtering efficient (as it filters on exactly all columns of the PK) ... but even if it didn't, I would expect that to only slow down the actual insert execution, not the EXPLAIN.

Cheers,

Gulli


On Wed, Mar 4, 2015 at 8:10 PM, Marc Mamin <M.Mamin@xxxxxxxxxxxx> wrote:
>Hi,
>we are seeing cases of EXPLAIN INSERT INTO foo SELECT ... taking over an hour, with disk I/O utilization (percent of time device is busy) at 100% the whole time, although I/O bandwidth is not saturated. This is on PostgreSQL 9.1.13.
>What could cause this? Note that there is no ANALYZE. Is it possible that the SELECT is actually executed, in planning the INSERT?
>When executing the INSERT itself (not EXPLAIN) immediately afterwards, that logs a "temporary file" message, but the EXPLAIN invocation does not (though the disk I/O suggests that a large on-disk sort is occurring):
>LOG:  temporary file: path "base/pgsql_tmp/pgsql_tmp6016.0", size 744103936
>STATEMENT:  INSERT INTO f_foo SELECT
>[...]
>During that actual execution, there's a lower disk I/O utilization (though a higher MB/s rate).
>Charts of disk I/O utilization and rate are at http://postimg.org/image/628h6jmn3/ ... the solid 100% span is the EXPLAIN statement, ending at 6:13:30pm, followed by the INSERT statement ending at 6:32pm. Metrics are collected by New Relic; their definition of I/O utilization is at https://discuss.newrelic.com/t/disk-i-o-metrics/2900
>Here's the EXPLAIN statement:
>LOG:  duration: 3928778.823 ms  statement: EXPLAIN INSERT INTO f_foo SELECT
>       t_foo.fk_d1,
>       t_foo.fk_d2,
>       t_foo.fk_d3,
>       t_foo.fk_d4,
>       t_foo.fk_d5,
>       t_foo.fk_d6,
>       t_foo.value
>FROM t_foo
>WHERE NOT (EXISTS
>             (SELECT *
>              FROM f_foo
>              WHERE f_foo.fk_d2 = t_foo.fk_d2
>                AND f_foo.fk_d3 = t_foo.fk_d3
>                AND f_foo.fk_d4 = t_foo.fk_d4
>                AND f_foo.fk_d5 = t_foo.fk_d5
>                AND f_foo.fk_d6 = t_foo.fk_d6
>                AND f_foo.fk_d1 = t_foo.fk_d1))
>(where t_foo is a temp table previously populated using COPY, and the NOT EXISTS subquery refers to the same table we are inserting into)
>Here's the EXPLAIN output:
>Insert on f_foo  (cost=8098210.50..9354519.69 rows=1 width=16)
>  ->  Merge Anti Join  (cost=8098210.50..9354519.69 rows=1 width=16)
>        Merge Cond: ((t_foo.fk_d2 = public.f_foo.fk_d2) AND
>                     (t_foo.fk_d3 = public.f_foo.fk_d3) AND
>                     (t_foo.fk_d4 = public.f_foo.fk_d4) AND
>                     (t_foo.fk_d5 = public.f_foo.fk_d5) AND
>                     (t_foo.fk_d6 = public.f_foo.fk_d6) AND
>                     (t_foo.fk_d1 = public.f_foo.fk_d1))
>        ->  Sort  (cost=3981372.25..4052850.70 rows=28591380 width=16)
>              Sort Key: t_foo.fk_d2, t_foo.fk_d3, t_foo.fk_d4, t_foo.fk_d5,
>                        t_foo.fk_d6, t_foo.fk_d1
>              ->  Seq Scan on t_foo  (cost=0.00..440461.80 rows=28591380
>                                      width=16)
>        ->  Sort  (cost=4116838.25..4188025.36 rows=28474842 width=12)
>              Sort Key: public.f_foo.fk_d2, public.f_foo.fk_d3,
>                        public.f_foo.fk_d4, public.f_foo.fk_d5,
>                        public.f_foo.fk_d6, public.f_foo.fk_d1
>              ->  Seq Scan on f_foo  (cost=0.00..591199.42 rows=28474842
>                                      width=12)
>The INSERT is indeed rather large (which is why we're issuing an EXPLAIN ahead of it to log the plan). So its long execution time is expected. But I want to understand why the EXPLAIN takes even longer.
>The table looks like this:
>\d f_foo
>Table "public.f_foo"
> Column |   Type   | Modifiers
>--------+----------+-----------
> fk_d1  | smallint | not null
> fk_d2  | smallint | not null
> fk_d3  | smallint | not null
> fk_d4  | smallint | not null
> fk_d5  | smallint | not null
> fk_d6  | smallint | not null
> value  | integer  |
>Indexes:
>    "f_foo_pkey" PRIMARY KEY, btree (fk_d2, fk_d6, fk_d4, fk_d3, fk_d5, fk_d1) CLUSTER
>    "ix_f_foo_d4" btree (fk_d4)
>    "ix_f_foo_d3" btree (fk_d3)
>    "ix_f_foo_d5" btree (fk_d5)
>    "ix_f_foo_d6" btree (fk_d6)
>Foreign-key constraints:
>    "f_foo_d2_fkey" FOREIGN KEY (fk_d2) REFERENCES d2(id) DEFERRABLE
>    "f_foo_d6_fkey" FOREIGN KEY (fk_d6) REFERENCES d6(id) DEFERRABLE
>    "f_foo_d5_fkey" FOREIGN KEY (fk_d5) REFERENCES d5(id) DEFERRABLE
>    "f_foo_d4_fkey" FOREIGN KEY (fk_d4) REFERENCES d4(id) DEFERRABLE
>    "f_foo_d3_fkey" FOREIGN KEY (fk_d3) REFERENCES d3(id) DEFERRABLE
>Conceivably relevant (though I don't know how): this database has a very large number of table objects (1.3 million rows in pg_class). But other EXPLAINs are not taking anywhere near this long in this DB; the heavy EXPLAIN is only seen on INSERT into this and a couple of other tables with tens of millions of rows.
>Any ideas?
>Thanks, best regards,
>- Gulli
>

Hi,
I've no clue for the time required by EXPLAIN
but some more information are probably relevant to find an explanation:

- postgres version
- number of rows inserted by the query
- how clean is your catalog in regard to vacuum
   ( can you run vacuum full verbose & analyze it, and then retry the analyze statement ?)
- any other process that may interfere, e.g. while locking some catalog tables ?
- statistic target ?
- is your temp table analyzed?
- any index on it ?
   
We have about 300'000 entries in our pg_class tables, and I've never seen such an issue.   

regards,
Marc Mamin



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