We also create a primary key that contains both important columns – “id” is for row identifier and “k” is the partition key. We are going to have 2 partitions – The first partition is called p1 and will store data where the value in column “k” is lower than 499,999 and the second partition, p2, will store the remaining values. In this example, we are going to create only one table called sbtest1 and it will be partitioned by a column named “k”, which is basically a ranged integer between 0 to 1,000,000 (based on the –table-size option that we are going to use in the insert-only operation later on): mysql> CREATE TABLE `sbtest1` ( We have to skip this part and define the table structure manually.Ĭreate a partitioned table. Mysql> GRANT ALL PRIVILEGES ON sbtest.* TO Sysbench, one would use the –prepare command to prepare the MySQL server with schema structures and generates rows of data. This kind of partitioning is good if you have data that loses its usefulness over time and can be easily removed from a partitioned table by dropping the partition (or partitions) containing only that data.Ĭreate the Sysbench schema: mysql> CREATE SCHEMA sbtest Ĭreate the sysbench database user: mysql> CREATE USER IDENTIFIED BY 'passw0rd' When creating the table structure, we will define all of the partitions at once. Single-server partitioning simply means all table’s partitions reside on the same MySQL server/instance. This can be used as a playground for us to dive further into the cause-effect of table partitioning, data distribution and query routing. In this blog post, we are going to show how to generate test data for a partitioned table in MySQL using Sysbench. This behavior can be extended, of course, but you have to know how to write it in the LUA script. By default, the table generated by Sysbench is a standard non-partition base table. Commonly, one would do a prepare-run-cleanup cycle when performing benchmark using Sysbench. Sysbench is a great tool to generate test data and perform MySQL OLTP benchmarks.
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