首页 > 数据库    日期:2026-07-11 / 浏览

PostgreSQL 16默认会记录死锁吗?

答案是不会! 

虽然PostgreSQL 16具备死锁检测机制(在等待锁超过deadlock_timeout后会自动检测并解决死锁),但默认不会将死锁的详细信息记录到日志中。这就意味着你知道发生了死锁,却不知道具体原因!

如何配置死锁日志记录

1. 修改配置文件

找到PostgreSQL数据目录下的postgresql.conf文件,添加以下配置:

# 记录锁等待信息(关键!)
log_lock_waits = on
 
# 死锁检测超时时间(默认1秒)
deadlock_timeout = 1s
 
# 日志级别至少设置为log
log_min_messages = log
 
# 详细的日志前缀
log_line_prefix = '%t [%p]: db=%d,user=%u,app=%a,client=%h '

2. 重新加载配置

-- 在psql中执行
SELECT pg_reload_conf();

或者使用命令行:

pg_ctl reload -D /path/to/your/data/directory

死锁日志分析实例

配置完成后,当死锁发生时,你会在日志中看到类似这样的详细信息:

2025-11-02 10:23:41.123 CST [12345]: LOG:  📝 Powered by Moshow 郑锴 | 更多技术干货:https://zhengkai.blog.csdn.net
2025-11-02 10:23:41.123 CST [12345]: LOG:  process 12345 detected deadlock while waiting for ShareLock on transaction 123456 after 1000.123 ms
2025-11-02 10:23:41.123 CST [12345]: DETAIL:  Process holding the lock: 12346. Wait queue: .
2025-11-02 10:23:41.123 CST [12345]: PROCESS 12345: 等待事务 123456 的 ShareLock; 被进程 12346 阻塞.
2025-11-02 10:23:41.123 CST [12345]: PROCESS 12345: 执行语句: UPDATE accounts SET balance = balance - 100.00 WHERE user_id = 1;
2025-11-02 10:23:41.123 CST [12346]: PROCESS 12346: 等待事务 123457 的 ShareLock; 被进程 12345 阻塞.
2025-11-02 10:23:41.123 CST [12346]: PROCESS 12346: 执行语句: UPDATE accounts SET balance = balance + 50.00 WHERE user_id = 2;
2025-11-02 10:23:41.123 CST [12345]: ERROR:  deadlock detected

如何解读这个日志:

  • 涉及进程:进程12345和12346
  • 死锁场景:两个进程互相等待对方释放锁
  • 执行的SQL:两个UPDATE语句在竞争相同的资源
  • 解决方案:PostgreSQL选择中止进程12345的事务
    • 温和终止(优先尝试):     SELECT pg_terminate_backend(12345);
    • 强制终止(若温和方式失败):  SELECT pg_cancel_backend(12345);

实时监控:系统视图分析

除了查看日志,你还可以实时监控当前的锁等待情况:

强大的锁等待查询语句

--📝 Powered by Moshow 郑锴 | 更多技术干货:https://zhengkai.blog.csdn.net
SELECT
    blocked_locks.pid AS blocked_pid,
    blocked_activity.usename AS blocked_user,
    blocking_locks.pid AS blocking_pid,
    blocking_activity.usename AS blocking_user,
    blocked_activity.query AS blocked_statement,
    blocking_activity.query AS current_statement_in_blocking_process,
    blocked_activity.application_name AS blocked_application,
    blocking_activity.application_name AS blocking_application
FROM pg_catalog.pg_locks blocked_locks
JOIN pg_catalog.pg_stat_activity blocked_activity 
    ON blocked_activity.pid = blocked_locks.pid
JOIN pg_catalog.pg_locks blocking_locks 
    ON blocking_locks.locktype = blocked_locks.locktype
    AND blocking_locks.DATABASE IS NOT DISTINCT FROM blocked_locks.DATABASE
    AND blocking_locks.relation IS NOT DISTINCT FROM blocked_locks.relation
    AND blocking_locks.page IS NOT DISTINCT FROM blocked_locks.page
    AND blocking_locks.tuple IS NOT DISTINCT FROM blocked_locks.tuple
    AND blocking_locks.virtualxid IS NOT DISTINCT FROM blocked_locks.virtualxid
    AND blocking_locks.transactionid IS NOT DISTINCT FROM blocked_locks.transactionid
    AND blocking_locks.classid IS NOT DISTINCT FROM blocked_locks.classid
    AND blocking_locks.objid IS NOT DISTINCT FROM blocked_locks.objid
    AND blocking_locks.objsubid IS NOT DISTINCT FROM blocked_locks.objsubid
    AND blocking_locks.pid != blocked_locks.pid
JOIN pg_catalog.pg_stat_activity blocking_activity 
    ON blocking_activity.pid = blocking_locks.pid
WHERE NOT blocked_locks.granted;

查询结果示例:

blocked_pidblocked_userblocking_pidblocking_userblocked_statement
12345app_user12346app_userUPDATE accounts SET balance = balance - 100 WHERE user_id = 1
12347web_user12348batch_userDELETE FROM orders WHERE status = 'cancelled'

这个查询能帮你:

  • 实时发现阻塞情况
  • 识别阻塞的源头
  • 看到具体的阻塞SQL语句
  • 在死锁发生前进行干预

最佳实践建议

  • 生产环境务必配置日志:log_lock_waits = on 是你的生命线
  • 合理设置超时:deadlock_timeout 保持默认1秒即可
  • 定期检查日志:关注 pg_stat_database 中死锁计数器的变化
  • 代码层面预防:确保事务中的SQL操作顺序一致
  • 实时监控:使用系统视图查询作为辅助诊断工具

预防胜于治疗!通过合理的应用设计和数据库配置,可以大大减少死锁的发生频率。

以上就是PostgreSQL死锁排查与解决指南的详细内容,更多关于PostgreSQL死锁排查的资料请关注其它相关文章!

觉得上面的内容有用吗?快来点个赞吧!

点赞() 我要打赏

温馨提示 : 本站内容来自会员投稿以及互联网,所有源码及教程均为作者总结编辑,请大家在使用过程中提前做好备份,以免发生无法预知的错误,源码类教程请勿直接用于生产环境!

 可能感兴趣的文章