Mysql replication invalidating query cache entries table

5.5.30) that introduced a new table "events" in the internal schema.

If you run into this you need to decide wether you want to include or exclude the new events table when dumping your database.

In a situation like this, the query cache can mask performance problems caused by missing indexes, which makes it helpful for novice users.

with "mytop" being an own Debian package, while "innotop" is included in the "mysql-client" package.

We are looking for community feedback on the use-cases for the Query Cache in My SQL.

As astute followers will notice, the query cache is now off by default in 5.6, but realistically it's always been disabled because the previous configuration was with zero memory allocated to it.

To skip: Due to a My SQL bug #68376 you have two choices.

You can check documentation and add the logical option # 1.

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Both need to be called with credentials to connect to the database: show variables; # List all configuration settings show variables like 'key_buffer_size'; # List a specific parameter set global key_buffer_size=100000000; # Set a specific parameter # Finally ensure to edit to make the change persistent Also have a look at this My SQL config parameter explanation.

In fact, with RBR there is a binlog event for each modified row, thus the mutex is acquired for every row.

I'm running a 4 servers master-master cluster of My Sql. Replication topology: 1 - 1 UPDATE It seems that server 3 has its SBM at 0, while the other servers are jumping up and down. It looks like the server is busy doing something, and there is a huge delay between when the server gets the statement, and when it executes it. After disabling cache, server 4 is ok but 1&2 are still having this issue. id=60696 If anyone knows how to fix it, i would be glad to hear There is one flaw with mysql's seconds_behind_master value: it only takes into account the position relative to one upstream hop away.

The ideal scenario for the query cache tends to be largely read-only, where there are a number of very expensive queries which examine millions of rows only to return a few.

A hypothetical example might be a complex query to build a list of values for a drop-down list that always appears on a webpage form.

Stop My SQL and start without grant checks /usr/bin/mysqld_safe --skip-grant-tables & mysql --user=root mysql # 2.

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