Re: [HACKERS] Enabling parallelism for queries coming from SQL orother PL functions - Mailing list pgsql-hackers

From Robert Haas
Subject Re: [HACKERS] Enabling parallelism for queries coming from SQL orother PL functions
Date
Msg-id CA+TgmoY1-kXSfP46CiGpKvxMKp6ZypHMf9Zt2ASj08ZKdeFHNw@mail.gmail.com
Whole thread Raw
In response to Re: [HACKERS] Enabling parallelism for queries coming from SQL orother PL functions  (Amit Kapila <amit.kapila16@gmail.com>)
List pgsql-hackers
On Thu, Mar 2, 2017 at 3:54 PM, Amit Kapila <amit.kapila16@gmail.com> wrote:
> On Thu, Mar 2, 2017 at 3:50 PM, Robert Haas <robertmhaas@gmail.com> wrote:
>> On Tue, Feb 28, 2017 at 5:25 PM, Amit Kapila <amit.kapila16@gmail.com> wrote:
>>> When such a function (that contains statements which have parallel
>>> plans) is being executed as part of another parallel plan, it can
>>> allow spawning workers unboundedly.   Assume a query like  select *
>>> from t1 where c1 < func1(),  this can use parallel scan for t1 and
>>> then in master backend, during partial scan of t1, it can again spawn
>>> new set of workers for queries inside func1(), this can happen
>>> multiple times if parallel query inside func1() again calls some other
>>> function func2() which has parallel query.  Now, this might be okay,
>>> but today such a situation doesn't exist that Gather execution can
>>> invoke another Gather node, so it is worth to consider if we want to
>>> allow it.
>>
>> If we want to prohibit that, the check in standard_planner can be
>> changed from !IsParallelWorker() to !IsInParallelMode(), but I'm not
>> 100% sure whether that's an improvement or not.
>
> I am not sure how you can achieve that by just changing
> standard_planner() code, because the plans of statements inside pl can
> be cached in which case it will not try to regenerate the plan.

Oh, good point.

>>  I would be inclined
>> to leave it alone unless we get several votes to change it.
>
> Okay, not a problem.

Cool.

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



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