中止 DELETE 查询后 Mysql 占用 50% cpu

发布于 2025-01-03 23:22:17 字数 538 浏览 1 评论 0原文

我遇到了以前从未遇到过的问题。 我昨天正在清理客户端数据库和包含访问统计信息的表,其中包含 15GB 的数据,因此我决定删除 2 月 1 日之前的所有行,因为我们将所有数据存储在每日统计信息中,无需保留那些旧的单一统计信息。

我尝试运行 DELETE FROM sv WHERE datetime < ?(日期时间索引)和DELETE FROM sv WHERE id ? (id 上的主索引),但是两个查询都太慢,花费了超过 15 分钟。所以我刚刚通过 Ctrl+C 中止了这些查询。

然后我认为更好的想法是复制表结构和 2 月行并删除旧表,但今天我发现服务器上的 mysql 进程的 CPU 使用率高达 50%,而我们网站上的流量正常。

将 sv 表移出数据库文件夹(myIsam 表)后使用率仍高达 50%

首先,我认为该表一定已损坏,但 phpmyadmin 没有显示它标记为崩溃。

我该如何调试这个?那里发生了什么?

I have problem I have never met before.
I was clearing yesterday clients db and table with stats of visits had 15GB of data, so I decided to delete all rows older than 1 Feb, because we have all that data stored in daily stats and there's no need to keep those old single stats.

I tried to run DELETE FROM sv WHERE datetime < ? (index on datetime) and DELETE FROM sv WHERE id < ? (primary index on id), but both queries where too slow, took more than 15 mins. So I have just aborted those queries by Ctrl+C.

Then I thought better idea would be copying table structure and February rows and remove old table, but today I found out that mysql process on server is running up to 50% cpu usage with normal traffic on our site.

After moving sv table out of database folder (myIsam table) usage is still up to 50%.

First I thought that table must have been corrupted, but phpmyadmin does not show it marked as crashed.

How I can debug this one? What have happened there?

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(1

匿名的好友 2025-01-10 23:22:17

由于查询被终止,您的系统可能会重新索引整个表。如果它是在 INNODB 的事务中,您还需要系统重建表,然后重新创建索引。

我会查看 iostat 并查找磁盘争用情况。

Your system is likely re-indexing the entire table as a result of the killed query. If it was in a transaction in INNODB, you are also having the system rebuild the table then recreating the index.

I would look at iostat and look for disk contention.

~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文