Hello.


The problem could be related to the filesystem layer.

You may use a raw disk partition or  decrease the size

of your tablespace (if it is autoextend). 



Pradeep Hodigere <[EMAIL PROTECTED]> wrote:

> Hi All,

> 

>  I had to do an alter table on a very large InnoDB

> table (100 million rows avg. row size 300 bytes

> inclusive of index length). This table is on a 200G

> disk and the server has 4G RAM. I also archived 50

> million rows to another table. So the total table size

> is now 1/2 of its original.

> 

>  Since the alter table was run, a reporter process

> (that does selects on the table) has been taking

> longer than before. The performance has been degrading

> with evey attempt to fix the issue. I tried the

> following to fix the problem:

> 1. analyze table <table name>;

> 2. alter table <table Name> type=InnoDB; (to fix

> defragmented index data after large deletes)

> 3. alter table <table name> order by timestamp; (to

> make the data sequential if the alter table from

> previous steps had screwed up the order)

> 

>  Each of the above steps (done over a few days) have

> progressively degraded the performance of the

> reporting process to an extent that it now takes twice

> the time to run the same queries. The disk is 100%

> busy when the query is being executed. Before the

> alter table was run, the disk was Idle all thro' the

> reporter's run and there was very little disk access.

> It seemed that the data was being served from the

> filesystem cache.

> 

>  Running explain on the queries indicate that the

> correct index is being used and there are no table

> scans. Although all the queries run by the reporter

> are now logged as slow the number of rows examined is

> always equal to number of rows sent. 

> 

>  Has anyone come across a similar problem. If so,

> what should i do to fix it? 

> 

>  Your responses would be greatly appriciated.

> 

> thanks,

> -pradeep

> 

> PS: The InnoDB buffer pool size was also increased to

> 800MB after the alter table. 

> 



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