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Max_allowed_packet. The max_allowed_packet variable is used to control the maximum size of a query sent to MySQL.

max_allowed_packet

It’s function is fairly well defined in the manual but there is a significant gotcha that exists when changing the size of max_allowed_packet while using replication. When the replication threads are created the global max_allowed_packet value is copied in to the thread context like doing a set session command in the slave connection. This is done because replication enforces max_allowed_packet a bit differently than other threads. It accounts for both the size of the packet and the overhead of the replication header. This makes the max_allowed_packet enforcement accurate in replication but it means that the slave thread won’t account for set global max_allowed_packet=N until replication is restarted. Utf8_general_ci vs utf8_unicode_ci. Innodb buffer. November 3, 2007 by Peter Zaitsev39 Comments My last post about Innodb Performance Optimization got a lot of comments choosing proper innodb_buffer_pool_size and indeed I oversimplified things a bit too much, so let me write a bit better description.

innodb buffer

Innodb Buffer Pool is by far the most important option for Innodb Performance and it must be set correctly. I’ve seen a lot of clients which came through extreme sufferings leaving it at default value (8M). So if you have dedicated MySQL Box and you’re only using Innodb tables you will want to give all memory you do not need for other needs for Innodb Buffer Pool. Innodb_flush_method. Properties: Description: This variable changes the way InnoDB open files and flush data to disk and is should be considered as very important for InnoDB performance.

innodb_flush_method

By default, InnoDB uses fsync() (without O_DSYNC) to flush both log and data files. System performance benchmark. Sort. August 18, 2007 by Peter Zaitsev26 Comments I took the same table as I used for MySQL Group by Performance Tests to see how much MySQL can sort 1.000.000 rows, or rather return top 10 rows from sorted result set which is the most typical way sorting is used in practice.

sort

I tested full table scan of the table completes in 0.22 seconds giving us about 4.5 Million of rows/sec. Obviously we can’t get sorted result set faster than that. I placed temporary sort files on tmpfs (/dev/shm) to avoid disk IO as a variable as my data set fits in memory anyway and decided to experiment with sort_buffer_size variable. Datadir.