MySQL 데이터베이스에서 필드 증분 중 경쟁 조건을 어떻게 완화할 수 있습니까?

Mitigating Race Conditions During Field Incrementation in MySQL Databases

In a scenario where multiple connections access the same MySQL database record for simultaneous updates, a race condition may arise, leading to unintended and inaccurate updates. This can occur when both connections retrieve the same field value (e.g., a counter), increment it, and update the record with their respective increased values. As both connections operate independently, the final updated value may only reflect a single increment instead of the intended multiple increments.

To address this issue, MySQL provides various approaches:

Atomic Update

Atomic updates can be utilized to ensure that field increments occur instantaneously and atomically. This can be achieved through a single query that increments the field, as seen below:

update table set tries=tries+1 where condition=value;

Row Locking

Row locking is another viable solution. By employing this technique, connections can lock rows that are being updated. This ensures that only one connection can modify the row at a time, eliminating the race condition. In conjunction with row locking, it's recommended to use InnoDB tables rather than MyISAM tables for support. A sample query using row locking would resemble:

select tries from table where condition=value for update;
.. do application logic to add to `tries`
update table set tries=newvalue where condition=value;

Version Scheme

A widely used approach is the introduction of a version column to the database table. This version column tracks changes to the record and assists in detecting race conditions. The query with this approach would typically follow this pattern:

select tries,version from table where condition=value;
.. do application logic, and remember the old version value.
update table set tries=newvalue,version=version + 1 where condition=value and version=oldversion;

If the update fails or returns zero affected rows, it signifies that another connection has updated the table concurrently. In such cases, the process must be restarted, including retrieving the updated values, performing application logic, and attempting the update once again.

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