How to operate partitioned tables and bucketed tables in MySQL?

2 years ago
Liam
2 minutes

Partitioned and bucketed tables in MySQL are two different methods of dividing and managing data.

Partitioned tables in MySQL are when a table’s data is divided into multiple partitions according to specific criteria, allowing each partition to be independently operated on. This can improve query performance, reduce index size, simplify data maintenance, and provide other benefits.

The steps to create a partitioned table are as follows:

  1. Create a basic table structure, including table name, column names, data types, etc.
  2. Divide by
  3. divisions
  4. Modify the table

The example code is shown below:

CREATE TABLE my_partition_table (
  id INT,
  name VARCHAR(50),
  created_at DATE
)
PARTITION BY RANGE (YEAR(created_at)) (
  PARTITION p0 VALUES LESS THAN (2010),
  PARTITION p1 VALUES LESS THAN (2012),
  PARTITION p2 VALUES LESS THAN (2014),
  PARTITION p3 VALUES LESS THAN MAXVALUE
);

A MySQL bucketing table refers to dividing the data of a table into multiple buckets based on specific rules, with each bucket containing the same amount of data. This can improve query performance and reduce index size.

The steps for creating a bucket table are as follows:

  1. Create a basic table structure, including table name, column names, data types, etc.
  2. Containers
  3. Change the structure of a table

The code sample is as follows:

CREATE TABLE my_bucket_table (
  id INT,
  name VARCHAR(50),
  created_at DATE
)
WITH BUCKET_COUNT = 4;

The above are the basic operations for creating partitioned tables and bucketed tables. Afterwards, you can perform data insertion, querying, updating, and deleting operations on them just like regular tables. It is important to note that the specific usage and effectiveness of partitioned tables and bucketed tables may need to be adjusted and optimized based on actual scenarios and requirements.

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