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From: Igor Shevtsov (nixofortunegmail.com)
Date: Tue Apr 16 2013 - 10:37:58 CDT
I thought you have to dedicate 70-80% of available RAM not a total RAM.
Saying if I have 2 gig of RAM on my exclusively innodb box, and I
dedicate 1.4Gig to innodb pool, my 64-bit linux machine will start
If I set it to 800-900M, it just fine and I have like 100M of RAM left
for some occasional process. I did try it.
On 16/04/13 16:21, Rick James wrote:
> Run your query twice; take the second time. For most queries the first run brings everything into cache, then the second gives you a repeatable, though cached, timing.
> Please provide EXPLAIN SELECT, SHOW CREATE TABLE, and we will critique your indexes and query plan.
> Handler* is another way to get consistent values. These numbers are unaffected by caching.
> 1GB buffer_pool? You have only 2GB of available RAM? Normally, if you are running only InnoDB, the buffer_pool should be set to about 70% of available RAM.
>> -----Original Message-----
>> From: Ananda Kumar [mailto:anandklgmail.com]
>> Sent: Tuesday, April 16, 2013 2:06 AM
>> To: Ilya Kazakevich
>> Cc: MySQL
>> Subject: Re: Mesaure query speed and InnoDB pool
>> Does your query use proper indexes.
>> Does your query scan less number blocks/rows can you share the explain
>> plan of the sql
>> On Tue, Apr 16, 2013 at 2:23 PM, Ilya Kazakevich <
>> Ilya.Kazakevichjetbrains.com> wrote:
>>> I have 12Gb DB and 1Gb InnoDB pool. My query takes 50 seconds when it
>>> reads data from disk and about 2 seconds when data already exists in
>>> pool. And it may take 10 seconds when _some_ pages are on disk and
>> some are in pool.
>>> So, what is the best way to test query performance? I have several
>>> * Count 'Innodb_rows_read' or 'Innodb_pages_read' instead of actual
>>> * Set pool as small as possible to reduce its effect on query speed
>>> * Set pool larger than my db and run query to load all data into pool
>>> and measure speed then
>>> How do you measure your queries' speed?
>>> Ilya Kazakevich
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