From: | Claudio Freire <klaussfreire(at)gmail(dot)com> |
---|---|
To: | Masahiko Sawada <sawada(dot)mshk(at)gmail(dot)com> |
Cc: | Simon Riggs <simon(at)2ndquadrant(dot)com>, Amit Kapila <amit(dot)kapila16(at)gmail(dot)com>, Michael Paquier <michael(dot)paquier(at)gmail(dot)com>, Robert Haas <robertmhaas(at)gmail(dot)com>, Pavan Deolasee <pavan(dot)deolasee(at)gmail(dot)com>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: Block level parallel vacuum WIP |
Date: | 2017-01-10 16:19:04 |
Message-ID: | CAGTBQpbU3R_VgyWk6jaD=6v-Wwrm8+6CbrzQxQocH0fmedWRkw@mail.gmail.com |
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On Tue, Jan 10, 2017 at 6:42 AM, Masahiko Sawada <sawada(dot)mshk(at)gmail(dot)com> wrote:
> Attached result of performance test with scale factor = 500 and the
> test script I used. I measured each test at four times and plot
> average of last three execution times to sf_500.png file. When table
> has index, vacuum execution time is smallest when number of index and
> parallel degree is same.
It does seem from those results that parallel heap scans aren't paying
off, and in fact are hurting.
It could be your I/O that's at odds with the parallel degree settings
rather than the approach (ie: your I/O system can't handle that many
parallel scans), but in any case it does warrant a few more tests.
I'd suggest you try to:
1. Disable parallel lazy vacuum, leave parallel index scans
2. Limit parallel degree to number of indexes, leaving parallel lazy
vacuum enabled
3. Cap lazy vacuum parallel degree by effective_io_concurrency, and
index scan parallel degree to number of indexes
And compare against your earlier test results.
I suspect 1 could be the winner, but 3 has a chance too (if e_i_c is
properly set up for your I/O system).
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