Re: [HACKERS] Patch: Write Amplification Reduction Method (WARM)
От | Pavan Deolasee |
---|---|
Тема | Re: [HACKERS] Patch: Write Amplification Reduction Method (WARM) |
Дата | |
Msg-id | CABOikdNPVERfx4K=C_bbPtZw-vuA1hK9tP9cRVhpHR14NgZZaQ@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: [HACKERS] Patch: Write Amplification Reduction Method (WARM) (Alvaro Herrera <alvherre@2ndquadrant.com>) |
Список | pgsql-hackers |
On Tue, Mar 14, 2017 at 7:19 PM, Alvaro Herrera <alvherre@2ndquadrant.com> wrote:
Pavan Deolasee wrote:
> BTW I wanted to share some more numbers from a recent performance test. I
> thought it's important because the latest patch has fully functional chain
> conversion code as well as all WAL-logging related pieces are in place
> too. I ran these tests on a box borrowed from Tomas (thanks!). This has
> 64GB RAM and 350GB SSD with 1GB on-board RAM. I used the same test setup
> that I used for the first test results reported on this thread i.e. a
> modified pgbench_accounts table with additional columns and additional
> indexes (one index on abalance so that every UPDATE is a potential WARM
> update).
>
> In a test where table + indexes exceeds RAM, running for 8hrs and
> auto-vacuum parameters set such that we get 2-3 autovacuums on the table
> during the test, we see WARM delivering more than 100% TPS as compared to
> master. In this graph, I've plotted a moving average of TPS and the spikes
> that we see coincides with the checkpoints (checkpoint_timeout is set to
> 20mins and max_wal_size large enough to avoid any xlog-based checkpoints).
> The spikes are more prominent on WARM but I guess that's purely because it
> delivers much higher TPS. I haven't shown here but I see WARM updates close
> to 65-70% of the total updates. Also there is significant reduction in WAL
> generated per txn.
Impressive results. Labels on axes would improve readability of the chart :-)
Just to make it clear, the X-axis is duration of tests in seconds and Y-axis is 450s moving average of TPS. BTW 450 is no magic figure. I collected stats every 15s and took a moving average of last 30 samples.
Thanks,
Pavan
Pavan Deolasee http://www.2ndQuadrant.com/
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