Re: CustomScan under the Gather node?

From: Kouhei Kaigai <kaigai(at)ak(dot)jp(dot)nec(dot)com>
To: Robert Haas <robertmhaas(at)gmail(dot)com>
Cc: "pgsql-hackers(at)postgresql(dot)org" <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: CustomScan under the Gather node?
Date: 2016-01-28 23:50:40
Message-ID: 9A28C8860F777E439AA12E8AEA7694F8011A33C5@BPXM15GP.gisp.nec.co.jp
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> On Thu, Jan 28, 2016 at 10:50 AM, Kouhei Kaigai <kaigai(at)ak(dot)jp(dot)nec(dot)com> wrote:
> >> If I would make a proof-of-concept patch with interface itself, it
> >> seems to me file_fdw may be a good candidate for this enhancement.
> >> It is not a field for postgres_fdw.
> >>
> > The attached patch is enhancement of FDW/CSP interface and PoC feature
> > of file_fdw to scan source file partially. It was smaller enhancement
> > than my expectations.
> >
> > It works as follows. This query tried to read 20M rows from a CSV file,
> > using 3 background worker processes.
> >
> > postgres=# set max_parallel_degree = 3;
> > SET
> > postgres=# explain analyze select * from test_csv where id % 20 = 6;
> > QUERY PLAN
> >
> ----------------------------------------------------------------------------
> ----
> > Gather (cost=1000.00..194108.60 rows=94056 width=52)
> > (actual time=0.570..19268.010 rows=2000000 loops=1)
> > Number of Workers: 3
> > -> Parallel Foreign Scan on test_csv (cost=0.00..183703.00 rows=94056
> width=52)
> > (actual time=0.180..12744.655 rows=500000
> loops=4)
> > Filter: ((id % 20) = 6)
> > Rows Removed by Filter: 9500000
> > Foreign File: /tmp/testdata.csv
> > Foreign File Size: 1504892535
> > Planning time: 0.147 ms
> > Execution time: 19330.201 ms
> > (9 rows)
>
> Could you try it not in parallel and then with 1, 2, 3, and 4 workers
> and post the times for all?
>
The above query has 5% selectivity on the entire CSV file.
Its execution time (total, only ForeignScan) are below

total ForeignScan diff
0 workers: 17584.319 ms 17555.904 ms 28.415 ms
1 workers: 18464.476 ms 18110.968 ms 353.508 ms
2 workers: 19042.755 ms 14580.335 ms 4462.420 ms
3 workers: 19318.254 ms 12668.912 ms 6649.342 ms
4 workers: 21732.910 ms 13596.788 ms 8136.122 ms
5 workers: 23486.846 ms 14533.409 ms 8953.437 ms

This workstation has 4 CPU cores, so it is natural nworkers=3 records the
peak performance on ForeignScan portion. On the other hands, nworkers>1 also
recorded unignorable time consumption (probably, by Gather node?)

An interesting observation was, less selectivity (1% and 0%) didn't change the
result so much. Something consumes CPU time other than file_fdw.

* selectivity 1%
total ForeignScan diff
0 workers: 17573.572 ms 17566.875 ms 6.697 ms
1 workers: 18098.070 ms 18020.790 ms 77.280 ms
2 workers: 18676.078 ms 14600.749 ms 4075.329 ms
3 workers: 18830.597 ms 12731.459 ms 6099.138 ms
4 workers: 21015.842 ms 13590.657 ms 7425.185 ms
5 workers: 22865.496 ms 14634.342 ms 8231.154 ms

* selectivity 0% (...so Gather didn't work hard actually)
total ForeignScan diff
0 workers: 17551.011 ms 17550.811 ms 0.200 ms
1 workers: 18055.185 ms 18048.975 ms 6.210 ms
2 workers: 18567.660 ms 14593.974 ms 3973.686 ms
3 workers: 18649.819 ms 12671.429 ms 5978.390 ms
4 workers: 20619.184 ms 13606.715 ms 7012.469 ms
5 workers: 22557.575 ms 14594.420 ms 7963.155 ms

Further investigation will need....

Thanks,
--
NEC Business Creation Division / PG-Strom Project
KaiGai Kohei <kaigai(at)ak(dot)jp(dot)nec(dot)com>

Attachment Content-Type Size
parallel_csv_0%.txt text/plain 4.6 KB
parallel_csv_1%.txt text/plain 4.6 KB
parallel_csv_5%.txt text/plain 4.6 KB

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