Re: Performance Improvement by reducing WAL for Update Operation

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От Amit Kapila
Тема Re: Performance Improvement by reducing WAL for Update Operation
Дата
Msg-id 00a001cdea82$f29743a0$d7c5cae0$@kapila@huawei.com
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Ответ на Re: Performance Improvement by reducing WAL for Update Operation  (Simon Riggs <simon@2ndQuadrant.com>)
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On Friday, December 28, 2012 3:52 PM Simon Riggs wrote:
> On 28 December 2012 08:07, Kyotaro HORIGUCHI
> <horiguchi.kyotaro@lab.ntt.co.jp> wrote:
> 
> > Hello, I saw this patch and confirmed that
> >
> >  - Coding style looks good.
> >  - Appliable onto HEAD.
> >  - Some mis-codings are fixed.
> 
> I've had a quick review of the patch to see how close we're getting.
> The perf tests look to me like we're getting what we wanted from this
> and I'm happy with the recovery performance trade-offs. Well done to
> both author and testers.
> 
> 
> * The compression algorithm depends completely upon new row length
> savings. If the new row is short, it would seem easier to just skip
> the checks and include it anyway. We can say if old and new vary in
> length by > 50% of each other, just include new as-is, since the rows
> very clearly differ in a big way. 

> Also, if tuple is same length as 
> before, can we compare the whole tuple at once to save doing
> per-column checks?

If we have to do whole tuple comparison then storing of changed parts might
need to be
be done in a byte-by-byte way rather then at column offset boundaries.
This might not be possible with current algorithm as it stores in WAL
information column-by-column and decrypts also in similar way.

> The internal docs are completely absent. We need at least a whole page of
descriptive > comment, discussing trade-offs and design decisions.

Currently I have planned to put it transam/README, as most of WAL
description is present there.

With Regards,
Amit Kapila.




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