mysql Sort aborted: Out of sort memory, consider increasing_MySQL
sort_buffer_size=3M
join_buffer_size = 3M
下面是针对16G 内存设置的参数:
sort_buffer_size = 2M
# Sort_Buffer_Size 是一个connection级参数,在每个connection(session)第一次需要使用这个buffer的时候,一次性分配设置的内存。
#Sort_Buffer_Size 并不是越大越好,由于是connection级的参数,过大的设置+高并发可能会耗尽系统内存资源。例如:500个连接将会消耗 500*sort_buffer_size(8M)=4G内存
#Sort_Buffer_Size 超过2KB的时候,就会使用mmap() 而不是 malloc() 来进行内存分配,导致效率降低。
#技术导读 http://blog.webshuo.com/2011/02/16/mysql-sort_buffer_size/
#dev-doc: http://dev.mysql.com/doc/refman/5.5/en/server-parameters.html
#explain select*from table where order limit;出现filesort
#属重点优化参数
代码如下:
mysqlslap -uroot -h127.0.0.1 -q ' select sql_no_cache * from sbtest order by pad limit 1' -c 100 --create-schema=test -i 10
测试结果:
执行时间
250K : 1.318s
512K : 1.944s
3M : 2.412s
250 K
[root@localhost tmp]# mysqlslap -uroot -h127.0.0.1 -q ' select sql_no_cache * from sbtest order by pad limit 1' -c 100 --create-schema=test -i 10
Benchmark
Average number of seconds to run all queries: 1.318 seconds
Minimum number of seconds to run all queries: 1.285 seconds
Maximum number of seconds to run all queries: 1.378 seconds
Number of clients running queries: 100
Average number of queries per client: 1
512 K
[root@localhost tmp]# mysqlslap -uroot -h127.0.0.1 -q ' select sql_no_cache * from sbtest order by pad limit 1' -c 100 --create-schema=test -i 10
Benchmark
Average number of seconds to run all queries: 1.944 seconds
Minimum number of seconds to run all queries: 1.362 seconds
Maximum number of seconds to run all queries: 4.406 seconds
Number of clients running queries: 100
Average number of queries per client: 1
3M
[root@localhost tmp]# mysqlslap -uroot -h127.0.0.1 -q ' select sql_no_cache * from sbtest order by pad limit 1' -c 100 --create-schema=test -i 10
Benchmark
Average number of seconds to run all queries: 2.412 seconds
Minimum number of seconds to run all queries: 2.376 seconds
Maximum number of seconds to run all queries: 2.527 seconds
Number of clients running queries: 100
Average number of queries per client: 1
结论:
确实如文档所说, 使用mmap 分配内存时,会带来性能上的损耗,影响大约在 30% 左右。
由于是limit 1,因此减弱了buffer size对排序速度的影响。
其实buffer size 越大,所需要进行的sort-merge的次数越少,执行时间越短。视具体的语句而定。
我只是想说明下,并不是越大越好。 也并不存在一个绝对的最佳值。
还是要看具体的业务环境决定值的大小。 对于高并发的应用,还是别设置太大的比较好。
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