


How to solve the exception 'PSQLException: ERROR: canceling statement due to user request' in SpringBoot application?
In SpringBoot application, the PgJDBC connection pool throws PSQLException: ERROR: canceling statement due to user request
exception troubleshooting and solving
In Spring Boot application, when using MyBatis-Plus and Druid connection pools, you will occasionally encounter PSQLException: ERROR: canceling statement due to user request
exception, affecting application stability. Although it is generally believed that the JDBC connection timeout is timed out, simply adjusting defaultStatementTimeOut
cannot completely solve the problem. This exception prompts that the database connection is closed before the SQL statement is executed, which may be caused by the following reasons:
Database operations take too long to cause timeout: If the SQL statement execution time exceeds the timeout setting of the connection pool, the connection will be forced to close. If the SQL statement that errors each time is the same, the SQL statement needs to be optimized; if each time is different, the database server load, resource usage and network connection need to be checked whether it is normal.
Transaction not handled correctly: When
autocommit=false
, if the transaction is not committed correctly or rolled back (for example, an exception causes a transaction to be interrupted), the connection may be incorrectly returned to the connection pool, reused by subsequent statements, and thus closed due to timeout. This is usually a code issue, requiring checking the transaction management logic to make sure the transaction is committed or rolled back correctly intry...catch...finally
block, or settingautocommit=true
.Version compatibility issues: Incompatibility of connection pools, database drivers, or ORM framework versions can also cause this issue. It is recommended to upgrade to the latest stable version, but this is not the fundamental solution, because the root cause is still the conflict between SQL execution time and timeout time. Therefore, code optimization (such as SQL optimization and transaction management) remains crucial.
In summary, solving this problem requires multiple investigations, starting from three aspects: SQL statement optimization, transaction management and version compatibility, so as to effectively avoid the occurrence of this exception and improve the stability of the application.
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