Home Common Problem Is there a limit to the length of sql statements in MySQL?

Is there a limit to the length of sql statements in MySQL?

Jul 25, 2023 pm 03:10 PM
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MySQL's SQL statement length is limited, which applies to the length of a single SQL statement and the size of the data packet sent in the entire connection. Under normal circumstances: 1. Before MySQL version 5.7, the length of a single SQL statement was limited to 64KB; 2. In MySQL version 5.7 and later, the length of a single SQL statement is limited to 1MB.

Is there a limit to the length of sql statements in MySQL?

Operating system for this tutorial: Windows 10 system, MySQL 8 version, Dell G3 computer.

MySQL has a length limit on SQL statements. These limits apply to the length of a single SQL statement as well as the size of packets sent across the entire connection.

Regarding the length limit of a single SQL statement, there may be some differences in different MySQL versions, but generally, the length limit of a single SQL statement is:

  • ## Before #MySQL version 5.7, the length of a single SQL statement was limited to 64KB.

  • MySQL version 5.7 and later, the length of a single SQL statement is limited to 1MB by default.

In addition to the limit on the length of a single SQL statement, there is also a limit on the size of packets sent across the entire connection. This limit depends on the max_allowed_packet parameter in the MySQL configuration, and the default value is 4MB. This parameter determines the maximum packet size that can be sent between the client and server.

If you need to execute a SQL statement that exceeds the above length limit, you can consider splitting it into multiple shorter statements or using other methods to handle it. At the same time, you can also adjust related MySQL configuration parameters according to actual needs to expand the limit.

It should be noted that too long SQL statements may cause performance degradation or affect the normal operation of the database. Therefore, when designing and writing SQL statements, try to keep them concise and reasonable and avoid overly long statements.

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