Re: postgres_fdw behaves oddly
От | Ashutosh Bapat |
---|---|
Тема | Re: postgres_fdw behaves oddly |
Дата | |
Msg-id | CAFjFpRcz4Gyj48PF14Rvpm2CTFRuhnrVyKWZjgh26AYhbdpxhw@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: postgres_fdw behaves oddly (Tom Lane <tgl@sss.pgh.pa.us>) |
Список | pgsql-hackers |
On Sun, Nov 23, 2014 at 2:46 AM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
So, the strategy to emulate heap or index scan wastes extra cycles and memory in adding NULL columns which are not required and then filtering them during the projection (within ExecScan itself). It also limits the ability of foreign scans to fetch shippable expressions when those expressions are part of the targetlist and fetching their values (instead of the columns participating in the expressions) reduces the size of the fetched row.
Etsuro Fujita <fujita.etsuro@lab.ntt.co.jp> writes:
> (2014/11/19 18:21), Ashutosh Bapat wrote:
>> Ok. I added that comment to the commitfest and changed the status to
>> "ready for commiter".
> Many thanks!
I committed this with some cosmetic adjustments, and one not-so-cosmetic
one: I left it continuing to allow CTID conditions to be sent to the
remote server. That works today and we shouldn't disable it, especially
not in the back branches where it could mean a performance regression
in a minor release.
Thanks.
As for the question of whether reltargetlist or tlist should be examined,
reltargetlist is the correct thing. I do not see a need to modify
use_physical_tlist either. If you trace through what happens in e.g.
postgres_fdw, you'll notice that it only bothers to retrieve actually-used
columns (which it computes correctly) from the remote side. It then
constructs a scan tuple that corresponds to the foreign table's physical
column set, inserting NULLs for any unfetched columns. This is handed
back to execScan.c and matches what a heapscan or indexscan would produce.
The point of the use_physical_tlist optimization is to avoid a projection
step *on this tuple* if we don't really need to do one (ie, if it'd be
just as good for the scan node's output tuple to be identical to the row's
physical tuple). If we disabled use_physical_tlist then we'd be forcing
a projection step that would have the effect of removing the NULLs for
unfetched columns, but it would not actually be of value, just as it isn't
in the corresponding cases for heap/index scans.
For the current patch, that's fair.
In grouping_planner() the targetlist of the topmost plan node of join tree is changed to the set of expressions requested in the query.
1554 else
1555 {
1556 /*
1557 * Otherwise, just replace the subplan's flat tlist with
1558 * the desired tlist.
1559 */
1560 result_plan->targetlist = sub_tlist;
1561 }
1554 else
1555 {
1556 /*
1557 * Otherwise, just replace the subplan's flat tlist with
1558 * the desired tlist.
1559 */
1560 result_plan->targetlist = sub_tlist;
1561 }
This means that for a simple SELECT from the foreign table, projection would be necessary in ExecScan if all the columns are not required.
So, the strategy to emulate heap or index scan wastes extra cycles and memory in adding NULL columns which are not required and then filtering them during the projection (within ExecScan itself). It also limits the ability of foreign scans to fetch shippable expressions when those expressions are part of the targetlist and fetching their values (instead of the columns participating in the expressions) reduces the size of the fetched row.
These cases do not exist for heap scans or index scans because the tuples are obtained directly from the buffer, so no extra memory required for the extra columns and projection as well as expression evaluation is anyway required.
BTW, given that there wasn't any very good way to test the createplan.c
fix except by adding test cases to postgres_fdw, I didn't see much value
in splitting the patch in two. The committed patch includes tests that
the createplan.c bug is fixed as well as the postgres_fdw one.
regards, tom lane
--
Best Wishes,
Ashutosh Bapat
EnterpriseDB Corporation
The Postgres Database Company
Ashutosh Bapat
EnterpriseDB Corporation
The Postgres Database Company
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