Обсуждение: incremental sort vs. gather paths

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incremental sort vs. gather paths

От
Robert Haas
Дата:
This code introduced in ba3e76cc571eba3dea19c9465ff15ac3ac186576 looks
wrong to me:

            total_groups = cheapest_partial_path->rows *
                cheapest_partial_path->parallel_workers;
            path = (Path *)
                create_gather_merge_path(root, ordered_rel,
                                         path,
                                         path->pathtarget,
                                         root->sort_pathkeys, NULL,
                                         &total_groups);

This too:

                total_groups = input_path->rows *
                    input_path->parallel_workers;

This came to my attention because Dave Page sent me a query plan that
looks like this:

Gather Merge  (cost=22617.94..22703.35 rows=732 width=97) (actual
time=2561.476..2561.856 rows=879 loops=1)
   Workers Planned: 2
   Workers Launched: 2
   ->  Sort  (cost=21617.92..21618.83 rows=366 width=97) (actual
time=928.329..928.378 rows=293 loops=3)
         Sort Key: aid
         Sort Method: quicksort  Memory: 155kB
         Worker 0:  Sort Method: quicksort  Memory: 25kB
         Worker 1:  Sort Method: quicksort  Memory: 25kB
         ->  Parallel Seq Scan on accounts_1m  (cost=0.00..21602.33
rows=366 width=97) (actual time=74.391..74.518 rows=293 loops=3)
               Filter: (aid < 10000000)
               Rows Removed by Filter: 333040

If you look at the actual row count estimates, you see that the Gather
Merge produces 3 times the number of rows that the Parallel Seq Scan
produces, which is completely correct, because the raw number is 897
in both cases, but EXPLAIN unhelpfully divides the displayed row count
by the loop count, which in this case is 3. If you look at the
estimated row count, you see that the Gather Merge is estimated to
produce exactly 2 times the number of rows that the nodes under it
would produce. That's not a very good estimate, unless
parallel_leader_participation=off, which in this case it isn't.

What's happening here is that the actual number of rows produced by
accounts_1m is actually 879 and is estimated as 879.
get_parallel_divisor() decides to divide that number by 2.4, and gets
366, because it thinks the leader will do less work than the other
workers. Then the code above fires and, instead of letting the
original row count estimate for accounts_1m apply to the Gather Merge
path, it overrides it with 2 * 366 = 732. This cannot be right.
Really, I don't think it should be overriding the row count estimate
at all. But if it is, multiplying by the number of workers can't be
right, because the leader can also do stuff.

-- 
Robert Haas
EDB: http://www.enterprisedb.com



Re: incremental sort vs. gather paths

От
Tomas Vondra
Дата:

On 12/16/21 17:48, Robert Haas wrote:
> This code introduced in ba3e76cc571eba3dea19c9465ff15ac3ac186576 looks
> wrong to me:
> 
>              total_groups = cheapest_partial_path->rows *
>                  cheapest_partial_path->parallel_workers;
>              path = (Path *)
>                  create_gather_merge_path(root, ordered_rel,
>                                           path,
>                                           path->pathtarget,
>                                           root->sort_pathkeys, NULL,
>                                           &total_groups);
> 
> This too:
> 
>                  total_groups = input_path->rows *
>                      input_path->parallel_workers;
> 
> This came to my attention because Dave Page sent me a query plan that
> looks like this:
> 
> Gather Merge  (cost=22617.94..22703.35 rows=732 width=97) (actual
> time=2561.476..2561.856 rows=879 loops=1)
>     Workers Planned: 2
>     Workers Launched: 2
>     ->  Sort  (cost=21617.92..21618.83 rows=366 width=97) (actual
> time=928.329..928.378 rows=293 loops=3)
>           Sort Key: aid
>           Sort Method: quicksort  Memory: 155kB
>           Worker 0:  Sort Method: quicksort  Memory: 25kB
>           Worker 1:  Sort Method: quicksort  Memory: 25kB
>           ->  Parallel Seq Scan on accounts_1m  (cost=0.00..21602.33
> rows=366 width=97) (actual time=74.391..74.518 rows=293 loops=3)
>                 Filter: (aid < 10000000)
>                 Rows Removed by Filter: 333040
> 
> If you look at the actual row count estimates, you see that the Gather
> Merge produces 3 times the number of rows that the Parallel Seq Scan
> produces, which is completely correct, because the raw number is 897
> in both cases, but EXPLAIN unhelpfully divides the displayed row count
> by the loop count, which in this case is 3. If you look at the
> estimated row count, you see that the Gather Merge is estimated to
> produce exactly 2 times the number of rows that the nodes under it
> would produce. That's not a very good estimate, unless
> parallel_leader_participation=off, which in this case it isn't.
> 
> What's happening here is that the actual number of rows produced by
> accounts_1m is actually 879 and is estimated as 879.
> get_parallel_divisor() decides to divide that number by 2.4, and gets
> 366, because it thinks the leader will do less work than the other
> workers. Then the code above fires and, instead of letting the
> original row count estimate for accounts_1m apply to the Gather Merge
> path, it overrides it with 2 * 366 = 732. This cannot be right.
> Really, I don't think it should be overriding the row count estimate
> at all. But if it is, multiplying by the number of workers can't be
> right, because the leader can also do stuff.
> 

Maybe, but other places (predating incremental sort) creating Gather 
Merge do the same thing, and commit ba3e76cc57 merely copied this. For 
example generate_gather_paths() does this:

     foreach(lc, rel->partial_pathlist)
     {
         Path       *subpath = (Path *) lfirst(lc);
         GatherMergePath *path;

         if (subpath->pathkeys == NIL)
             continue;

         rows = subpath->rows * subpath->parallel_workers;
         path = create_gather_merge_path(root, rel, subpath,
                                         rel->reltarget,
                                     subpath->pathkeys, NULL, rowsp);
         add_path(rel, &path->path);
     }

i.e. it's doing the same (rows * parallel_workers) calculation.

It may not not be the right way to estimate this, of course. But I'd say 
if ba3e76cc57 is doing it wrong, so are the older places.


regards

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



Re: incremental sort vs. gather paths

От
Robert Haas
Дата:
On Thu, Dec 16, 2021 at 12:16 PM Tomas Vondra
<tomas.vondra@enterprisedb.com> wrote:
> Maybe, but other places (predating incremental sort) creating Gather
> Merge do the same thing, and commit ba3e76cc57 merely copied this. For
> example generate_gather_paths() does this:
>
>      foreach(lc, rel->partial_pathlist)
>      {
>          Path       *subpath = (Path *) lfirst(lc);
>          GatherMergePath *path;
>
>          if (subpath->pathkeys == NIL)
>              continue;
>
>          rows = subpath->rows * subpath->parallel_workers;
>          path = create_gather_merge_path(root, rel, subpath,
>                                          rel->reltarget,
>                                      subpath->pathkeys, NULL, rowsp);
>          add_path(rel, &path->path);
>      }
>
> i.e. it's doing the same (rows * parallel_workers) calculation.

Ugh. I was hoping this mess wasn't my fault, but it seems that it is. :-(

-- 
Robert Haas
EDB: http://www.enterprisedb.com