I have a huge table that stores many tracked events, such as a user click.
The table is already in the 10's of millions, and its growing larger everyday.
The queries are starting to get slower when i try to fetch events from a large timeframe, and after reading quite a bit on the subject i understand that partitioning the table may boost the performance.
What i want to do is partition the table on a per month basis.
I have only found guides that show how to partition manually each month, is there a way to just tell MySQL to partition by month and it will do that automatically?
If not, what is the command to do it manually considering my partitioned by column is a datetime?
As explained by the manual: http://dev.mysql.com/doc/refman/5.6/en/partitioning-overview.html
This is easily possible by hash partitioning of the month output.
CREATE TABLE ti (id INT, amount DECIMAL(7,2), tr_date DATE) ENGINE=INNODB PARTITION BY HASH( MONTH(tr_date) ) PARTITIONS 6;
Do note that this only partitions by month and not by year, also there are only 6 partitions (so 6 monhts) in this example.
And for partitioning an existing table (manual: https://dev.mysql.com/doc/refman/5.7/en/alter-table-partition-operations.html):
ALTER TABLE ti PARTITION BY HASH( MONTH(tr_date) ) PARTITIONS 6;