MySQL加载数据infile - 加速？ [英] MySQL load data infile - acceleration?

问题描述

有时候，我必须为项目重新导入数据，因此在MySQL表中读取大约360万行（目前是InnoDB，但实际上我并不是真的限于这个引擎）。 加载数据infile ...已被证明是最快的解决方案，但它有一个权衡：
- 当没有键导入时，导入本身大约需要45秒，但密钥创建需要很长时间（已经运行20分钟...）。
- 使用表上的键进行导入会导致导入速度变慢

sometimes, I have to re-import data for a project, thus reading about 3.6 million rows into a MySQL table (currently InnoDB, but I am actually not really limited to this engine). "Load data infile..." has proved to be the fastest solution, however it has a tradeoff: - when importing without keys, the import itself takes about 45 seconds, but the key creation takes ages (already running for 20 minutes...). - doing import with keys on the table makes the import much slower

表中有3个字段的键，引用数字字段。
有没有办法加速这个？

There are keys over 3 fields of the table, referencing numeric fields. Is there any way to accelerate this?

另一个问题是：当我终止启动慢查询的进程时，它继续在数据库上运行。有没有办法在不重启mysqld的情况下终止查询？

Another issue is: when I terminate the process which has started a slow query, it continues running on the database. Is there any way to terminate the query without restarting mysqld?

非常感谢
DBa

Thanks a lot DBa

推荐答案

如果你正在使用innodb和批量加载这里有一些提示：

if you're using innodb and bulk loading here are a few tips:

将你的csv文件排序为主键顺序目标表：记住innodb使用
聚集主键，因此如果它已经排序，它将加载更快！

sort your csv file into the primary key order of the target table : remember innodb uses clustered primary keys so it will load faster if it's sorted !

我使用的典型加载数据infile：

typical load data infile i use:

truncate <table>;

set autocommit = 0;

load data infile <path> into table <table>...

commit;

可用于提高加载时间的其他优化：

other optimisations you can use to boost load times:

set unique_checks = 0;
set foreign_key_checks = 0;
set sql_log_bin=0;

将csv文件拆分为更小的块

split the csv file into smaller chunks

我在批量加载过程中观察到的典型导入统计数据：

typical import stats i have observed during bulk loads:

3.5 - 6.5 million rows imported per min
210 - 400 million rows per hour

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