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Home/ Questions/Q 432241
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T20:03:17+00:00 2026-05-12T20:03:17+00:00

I have read the documentation ( http://dev.mysql.com/doc/refman/5.1/en/partitioning.html ), but I would like, in your

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I have read the documentation (http://dev.mysql.com/doc/refman/5.1/en/partitioning.html), but I would like, in your own words, what it is and why it is used.

  1. Is it mainly used for multiple servers so it doesn’t drag down one server?
  2. So, part of the data will be on server1, and part of the data will be on server2. And server 3 will “point” to server1 or server2…is that how it works?
  3. Why does MYSQL documentation focus on partitioning within the same server…if the purpose is to spread it across servers?
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  1. Editorial Team
    Editorial Team
    2026-05-12T20:03:17+00:00Added an answer on May 12, 2026 at 8:03 pm

    The idea behind partitioning isn’t to use multiple servers but to use multiple tables instead of one table. You can divide a table into many tables so that you can have old data in one sub table and new data in another table. Then the database can optimize queries where you ask for new data knowing that they are in the second table. What’s more, you define how the data is partitioned.

    Simple example from the MySQL Documentation:

    CREATE TABLE employees (
        id INT NOT NULL,
        fname VARCHAR(30),
        lname VARCHAR(30),
        hired DATE NOT NULL DEFAULT '1970-01-01',
        separated DATE NOT NULL DEFAULT '9999-12-31',
        job_code INT,
        store_id INT
    )
    PARTITION BY RANGE ( YEAR(separated) ) (
        PARTITION p0 VALUES LESS THAN (1991),
        PARTITION p1 VALUES LESS THAN (1996),
        PARTITION p2 VALUES LESS THAN (2001),
        PARTITION p3 VALUES LESS THAN MAXVALUE
    );
    

    This allows to speed up e.g.:

    1. Dropping old data by simple:

      ALTER TABLE employees DROP PARTITION p0;
      
    2. Database can speed up a query like this:

      SELECT COUNT(*)
      FROM employees
      WHERE separated BETWEEN '2000-01-01' AND '2000-12-31'
      GROUP BY store_id;
      

    Knowing that all data is stored only on the p2 partition.

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