MySQL Data Partitioning: Split Data Methods

In MySQL, there are several methods available to divide data.

1. Partitioned table: By defining partition rules when creating the table, data is stored in different partitions. Common partitioning methods include range, list, and hash partitioning.
2. Partitioning: Breaking up a large table into multiple smaller tables according to a certain rule, with each small table storing a portion of the data. This partitioning can typically be done based on criteria such as time, business, or data volume.
3. Sharding: splitting tables from one database into multiple databases based on certain rules, such as by business or geographical location.
4. Horizontal partitioning involves dividing data by rows and storing different data rows in separate tables. This method is suitable for large amounts of data and can improve query performance.
5. Vertical partitioning involves splitting a table by columns and storing different columns in separate tables. This method is suitable for situations where the data access frequency between columns varies, and can improve query performance.

Overall, based on different business needs and data characteristics, one can choose the appropriate method to segment data in order to improve the performance and maintainability of the database.