Re: Observations in Parallel Append

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От Robert Haas
Тема Re: Observations in Parallel Append
Дата
Msg-id CA+TgmoZ-WSVh5hS7+g0+Hd9XLrsjv1v=VEq_mNme_MF4mAda0g@mail.gmail.com
обсуждение исходный текст
Ответ на Observations in Parallel Append  (Amit Kapila <amit.kapila16@gmail.com>)
Ответы Re: Observations in Parallel Append  (Amit Kapila <amit.kapila16@gmail.com>)
Список pgsql-hackers
On Fri, Dec 22, 2017 at 6:18 AM, Amit Kapila <amit.kapila16@gmail.com> wrote:
> There doesn't seem to be any need for including spin.h.  I think some
> prior version of the patch might need it.  Patch attached to remove
> it.

OK, good catch.

> The code and comment don't seem to match.  The comments indicate that
> after reaching the end of the list, we loop back to first nonpartial
> plan whereas code indicates that we loop back to first partial plan.
> I think one of those needs to be changed unless I am missing something
> obvious.

Yeah, the header comment should say partial, not nonpartial.

> 3.
> +cost_append(AppendPath *apath)
> {
> ..
> +           /*
> +            * Apply parallel divisor to non-partial subpaths.  Also add the
> +            * cost of partial paths to the total cost, but ignore non-partial
> +            * paths for now.
> +            */
> +           if (i < apath->first_partial_path)
> +               apath->path.rows += subpath->rows / parallel_divisor;
> +           else
> +           {
> +               apath->path.rows += subpath->rows;
> +               apath->path.total_cost += subpath->total_cost;
> +           }
> ..
> }
>
> I think it is better to use clamp_row_est for rows for the case where
> we use parallel_divisor so that the value of rows is always sane.

Good point.

> Also, don't we need to use parallel_divisor for partial paths instead
> of non-partial paths as those will be actually distributed among
> workers?

Uh, that seems backwards to me.  We're trying to estimate the average
number of rows per worker.

-- 
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company


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