下面是我的 .cnf 文件,如果我看到我的 CPU 消耗了 99.99%,则我的 mysqld 命令。MySQL 服务器与远程计算机连接,这些计算机经常更新其中的数据,但我确保远程服务器打开连接、读取/写入/更新,然后关闭它。此外,远程服务器读取了很多数据。
我该怎么做才能减少 CPU 消耗。仅供参考,我使用的是 2 核 CPU 和 4GB RAM。
[client]
port = 3306
socket = /var/run/mysqld/mysqld.sock
[mysqld_safe]
socket = /var/run/mysqld/mysqld.sock
nice = 0
[mysqld]
user = mysqluser
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
port = 3306
basedir = /usr
datadir = /var/lib/mysql
tmpdir = /tmp
lc-messages-dir = /usr/share/mysql
skip-external-locking
wait_timeout = 20
interactive_timeout = 60
bind-address = <IP-ADDRESS>
key_buffer = 16M
max_allowed_packet = 16M
thread_stack = 192K
thread_cache_size = 8
myisam-recover = BACKUP
max_connections = 300
query_cache_limit = 20M
query_cache_size = 128M
log_error = /var/log/mysql/error.log
log_slow_queries = /var/log/mysql/mysql-slow.log
long_query_time = 4
log-queries-not-using-indexes
expire_logs_days = 10
max_binlog_size = 100M
[mysqldump]
quick
quote-names
max_allowed_packet = 16M
[mysql]
[isamchk]
key_buffer = 16M
还粘贴来自 mysqltuner 的输出。
>> MySQLTuner 1.4.0 - Major Hayden <[email protected]>
>> Bug reports, feature requests, and downloads at http://mysqltuner.com/
>> Run with '--help' for additional options and output filtering
[OK] Logged in using credentials from debian maintenance account.
[OK] Currently running supported MySQL version 5.5.38-0ubuntu0.14.04.1-log
[OK] Operating on 64-bit architecture
-------- Storage Engine Statistics -------------------------------------------
[--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM
[--] Data in InnoDB tables: 2G (Tables: 26)
[--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17)
[!!] Total fragmented tables: 26
-------- Performance Metrics -------------------------------------------------
[--] Up for: 21m 51s (37K q [28.525 qps], 31K conn, TX: 6M, RX: 7M)
[--] Reads / Writes: 97% / 3%
[--] Total buffers: 304.0M global + 2.7M per thread (5000 max threads)
[!!] Maximum possible memory usage: 13.4G (347% of installed RAM)
[!!] Slow queries: 18% (6K/37K)
[OK] Highest usage of available connections: 0% (16/5000)
[OK] Key buffer size / total MyISAM indexes: 16.0M/100.0K
[OK] Query cache efficiency: 20.2% (7K cached / 36K selects)
[OK] Query cache prunes per day: 0
[OK] Sorts requiring temporary tables: 0% (0 temp sorts / 6K sorts)
[OK] Temporary tables created on disk: 25% (54 on disk / 215 total)
[OK] Thread cache hit rate: 99% (16 created / 31K connections)
[OK] Table cache hit rate: 25% (74 open / 289 opened)
[OK] Open file limit used: 0% (49/25K)
[OK] Table locks acquired immediately: 100% (29K immediate / 29K locks)
[!!] InnoDB buffer pool / data size: 128.0M/2.9G
[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
Reduce your overall MySQL memory footprint for system stability
Variables to adjust:
*** MySQL's maximum memory usage is dangerously high ***
*** Add RAM before increasing MySQL buffer variables ***
innodb_buffer_pool_size (>= 2G)
我根本没有遇到这个问题,但是当我开始将 10 台远程服务器连接到这台 MySQL 服务器,并且当这十台服务器开始在这台 MySQL 服务器上执行SELECT
查询时UPDATE
,我发现 CPU 消耗有所上升。
答案1
我怀疑这里有几个问题正在堆积并导致问题。
- 磁盘 i/o 碎片化,可能效率低下。对每个表执行 OPTIMIZE TABLE 应该可以解决此问题并有所帮助。
- 内存调整非常糟糕,很可能会导致需要频繁交换的问题。
- 查询速度慢 - 这是 CPU 使用率高的主要原因。我会检查您的慢速日志,看看您可以通过添加索引/重新组织查询等来优化哪些操作。可能有一个相当常见的查询正在执行数万或数十万次比较,这会降低您的性能。
如果这些都不能将性能提升到您想要的水平,那么可能是时候扩展您的数据库服务器了。2 个核心并不能告诉我有关机器的处理能力的任何信息,而且 4 GB 的 RAM 在当今来说是相当小的。
如需更具体的建议,请在您的描述中添加更多细节。SSD 还是旋转磁盘?什么 CPU?什么级别的 RAM?每分钟有多少个查询?有多少个客户端,等等?
答案2
如果您能够稍微调整一下设置,我会在 my.cnf 中尝试这样做:
innodb_buffer_pool_size = 3000M
然后重新启动 mysql 并检查性能。这将允许您将更多数据库保留在内存中,从而减少您可能看到的磁盘/内存抖动。假设您有 4Gb 内存,并假设此服务器仅有的数据库服务器,您可以将缓冲池大小增加到系统内存的约 80%。
答案3
发生了什么:你必须尝试将一头大象放入仓鼠球中。
做什么:减少 mysql 的内存占用
. . . . .
. . . . .
[mysqld]
user = mysqluser
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
log_error = /var/log/mysql/error.log
log_slow_queries = /var/log/mysql/mysql-slow.log
long_query_time = 10
log-queries-not-using-indexes
expire_logs_days = 10
max_binlog_size = 100M
port = 3306
basedir = /usr
datadir = /var/lib/mysql
tmpdir = /tmp
lc-messages-dir = /usr/share/mysql
skip-external-locking
wait_timeout = 20
interactive_timeout = 60
bind-address = <IP-ADDRESS>
myisam-recover = BACKUP
## REASONABLE MEMORY PARAMETERS
max_connections = 64
thread_cache_size = 2
thread_concurrency = 4
key_buffer_size = 64M
join_buffer_size = 2M
sort_buffer_size = 2M
read_buffer_size = 2M
read_rnd_buffer_size = 8M
myisam_sort_buffer_size = 16M
query_cache_limit = 2M
query_cache_size = 32M
table_open_cache = 512
max_allowed_packet = 1M
. . . . .
. . . . .
答案4
您应该使用命令分析最频繁的查询EXPLAIN
。输出将告诉您查询如何使用表索引,这直接影响性能。