我没有250GB的ram(按我们的预算),我现在有70gb,使用一个小时后就满了57gb(mysql缓冲区)。
我几乎不确定:
临时表缓冲区查询缓存修剪联接缓冲区和查询缓存大小
innodb缓冲区可能不会太小,其中很大一部分240gb很少被访问。我想大部分的访问都是缓冲的。
其中一些值已经处于边缘,我读到这是没有好处的(比如128mbtmp\u表或1mb join\u缓冲区)
[--] Up for: 9h 51m 30s (78M q [2K qps], 921K conn, TX: 110B, RX: 26B)
[--] Reads / Writes: 49% / 51%
[--] Total buffers: 46.6G global + 1.9M per thread (1500 max threads)
[OK] Maximum possible memory usage: 49.3G (82% of installed RAM)
[OK] Slow queries: 0% (1K/78M)
[OK] Highest usage of available connections: 28% (428/1500)
[OK] Key buffer size / total MyISAM indexes: 256.0M/1.6G
[OK] Key buffer hit rate: 99.9% (105M cached / 55K reads)
[OK] Query cache efficiency: 26.9% (11M cached / 44M selects)
[!!] Query cache prunes per day: 4482061
[OK] Sorts requiring temporary tables: 0% (0 temp sorts / 10M sorts)
[!!] Joins performed without indexes: 603
[!!] Temporary tables created on disk: 49% (1M on disk / 2M total)
[OK] Thread cache hit rate: 99% (6K created / 921K connections)
[OK] Table cache hit rate: 83% (1K open / 2K opened)
[OK] Open file limit used: 12% (633/5K)
[OK] Table locks acquired immediately: 99% (9M immediate / 9M locks)
[!!] InnoDB buffer pool / data size: 46.0G/240.6G
[OK] InnoDB log waits: 0
-------- Recommendations -----------------------------------------------------
General recommendations:
Run OPTIMIZE TABLE to defragment tables for better performance
MySQL started within last 24 hours - recommendations may be inaccurate
Increasing the query_cache size over 128M may reduce performance
Adjust your join queries to always utilize indexes
When making adjustments, make tmp_table_size/max_heap_table_size equal
Reduce your SELECT DISTINCT queries without LIMIT clauses
Variables to adjust:
query_cache_size (> 180M) [see warning above]
join_buffer_size (> 1.0M, or always use indexes with joins)
tmp_table_size (> 128M)
max_heap_table_size (> 128M)
innodb_buffer_pool_size (>= 240G)
配置:
max_allowed_packet = 64M
thread_stack = 256K
thread_cache_size = 16
max_connections = 1500
max_user_connections = 850
query_cache_limit = 3M
query_cache_size = 180M
query_cache_type = 1
table_open_cache = 2500
key_buffer_size = 256M # index in memory for myisam
innodb_buffer_pool_size = 46G
innodb_log_file_size = 256M
tmp_table_size = 128M
max_heap_table_size = 128M
join_buffer_size = 1M
2条答案
按热度按时间biswetbf1#
让我们尝试在70gb内存内工作。”innodb缓冲池/数据大小:46.0g/240.6g“如果你没有太严重的颠簸的话就可以了。通常,改进索引和/或查询会有所帮助。
我看到的查询缓存规范还不错。但它有多大?它的价值是什么
query_cache_size
? 如果超过50米,那就太大了,因为梅子太贵了。不要更改mysqltuner建议的其他设置。
你大概有50个
query_cache_prunes
每秒,太高了。所以,虽然命中率很高,但我怀疑qc没有得到很好的调整。建议:
找出哪些查询可能会重复,哪些不会。把常用的换成
SELECT SQL_CACHE ...
把不常见的换成SELECT SQL_NO_CACHE ...
. 换成query_cache_type = DEMAND
.为了更深入地挖掘,并解决一些缓慢的查询,请按照这里的建议。
dy2hfwbg2#
在配置文件中要执行的操作: