
mysql耗内存吗?很多人都说MySQL占用了很大的虚拟内存,那么这个问题应该怎么解决呢?下面是我收集整理的一些方法,现在分享给大家!
解决mysql耗内存的具体方法一:
在分析的过程中发现最耗内存的是MySQL,其中近1GB的内存被它吞了,而且不在任务管理器体现出来。这个数据库软件是EMS要用到了,所以必须要运行。这个软件在安装的时候会根据机器的实际内存自动进行配置,PC机物理内存越多,它默认占有的内存就越多,难怪3GB的内存被它给吞了近1GB。
优化方法:
1. 退出EMS client&server
2. 在CMD里运行:net stop mysql
3. 找到MySQL\MySQL Server的安装目录,里面有个my.ini文件,参考附件的配置对参数query_cache_size tmp_table_size myisam_sort_buffer_size key_buffer_size innodb_buffer_pool_size进行修改,注意不要改动innodb_log_file_size,修改前备份my.ini
4. 在CMD里运行:net start mysql,如果提示成功,则说明修改的参数没有什么问题,如果失败,重新调整一下上面的参数
5. 找到EMS 安装目录runGUI.bat runServer.bat脚本,找到-Xmx700m,改为-Xmx256m,注意修改前备份这两个文件,感谢Liping Sun提供帮助
6. 重新运行EMS
前后对比,对于3GB的PC,发现可以节省近1GB的内存。对于2GB的PC,也可以节省600-800MB。优化后发现EMS启动稍微慢一些,但是其它的软件运行速度提高了很多,不在经常出现卡机现象了。如果在运行过程中发现EMS特别慢的话,自己也可以适当放大上面提到的一些参数。
my.ini
# MySQL Server Instance Configuration File
# ----------------------------------------------------------------------
# Generated by the MySQL Server Instance Configuration Wizard
#
#
# Installation Instructions
# ----------------------------------------------------------------------
#
# On Linux you can copy this file to /etc/my.cnf to set global options,
# mysql-data-dir/my.cnf to set server-specific options
# (@localstatedir@ for this installation) or to
# ~/.my.cnf to set user-specific options.
#
# On Windows you should keep this file in the installation directory
# of your server (e.g. C:\Program Files\MySQL\MySQL Server X.Y). To
# make sure the server reads the config file use the startup option
# "--defaults-file".
#
# To run run the server from the command line, execute this in a
# command line shell, e.g.
# mysqld --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini"
#
# To install the server as a Windows service manually, execute this in a
# command line shell, e.g.
# mysqld --install MySQLXY --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini"
#
# And then execute this in a command line shell to start the server, e.g.
# net start MySQLXY
#
#
# Guildlines for editing this file
# ----------------------------------------------------------------------
#
# In this file, you can use all long options that the program supports.
# If you want to know the options a program supports, start the program
# with the "--help" option.
#
# More detailed information about the individual options can also be
# found in the manual.
#
#
# CLIENT SECTION
# ----------------------------------------------------------------------
#
# The following options will be read by MySQL client applications.
# Note that only client applications shipped by MySQL are guaranteed
# to read this section. If you want your own MySQL client program to
# honor these values, you need to specify it as an option during the
# MySQL client library initialization.
#
[client]
port=3306
[mysql]
default-character-set=utf8
# SERVER SECTION
# ----------------------------------------------------------------------
#
# The following options will be read by the MySQL Server. Make sure that
# you have installed the server correctly (see above) so it reads this
# file.
#
[mysqld]
# The TCP/IP Port the MySQL Server will listen on
port=3306
#Path to installation directory. All paths are usually resolved relative to this.
basedir="D:/Program Files/MySQL/MySQL Server 5.1/"
#Path to the database root
datadir="C:/Documents and Settings/All Users/Application Data/MySQL/MySQL Server 5.1/Data/"
# The default character set that will be used when a new schema or table is
# created and no character set is defined
character-set-server=utf8
# The default storage engine that will be used when create new tables when
default-storage-engine=INNODB
# Set the SQL mode to strict
sql-mode="STRICT_TRANS_TABLES,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION"
# The maximum amount of concurrent sessions the MySQL server will
# allow. One of these connections will be reserved for a user with
# SUPER privileges to allow the administrator to login even if the
# connection limit has been reached.
max_connections=1510
# Query cache is used to cache SELECT results and later return them
# without actual executing the same query once again. Having the query
# cache enabled may result in significant speed improvements, if your
# have a lot of identical queries and rarely changing tables. See the
# "Qcache_lowmem_prunes" status variable to check if the current value
# is high enough for your load.
# Note: In case your tables change very often or if your queries are
# textually different every time, the query cache may result in a
# slowdown instead of a performance improvement.
query_cache_size=16M
# The number of open tables for all threads. Increasing this value
# increases the number of file descriptors that mysqld requires.
# Therefore you have to make sure to set the amount of open files
# allowed to at least 4096 in the variable "open-files-limit" in
# section [mysqld_safe]
table_cache=3020
# Maximum size for internal (in-memory) temporary tables. If a table
# grows larger than this value, it is automatically converted to disk
# based table This limitation is for a single table. There can be many
# of them.
tmp_table_size=4M
# How many threads we should keep in a cache for reuse. When a client
# disconnects, the client's threads are put in the cache if there aren't
# more than thread_cache_size threads from before. This greatly reduces
# the amount of thread creations needed if you have a lot of new
# connections. (Normally this doesn't give a notable performance
# improvement if you have a good thread implementation.)
thread_cache_size=64
#*** MyISAM Specific options
# The maximum size of the temporary file MySQL is allowed to use while
# recreating the index (during REPAIR, ALTER TABLE or LOAD DATA INFILE.
# If the file-size would be bigger than this, the index will be created
# through the key cache (which is slower).
myisam_max_sort_file_size=100G
# If the temporary file used for fast index creation would be bigger
# than using the key cache by the amount specified here, then prefer the
# key cache method. This is mainly used to force long character keys in
# large tables to use the slower key cache method to create the index.
myisam_sort_buffer_size=4M
# Size of the Key Buffer, used to cache index blocks for MyISAM tables.
# Do not set it larger than 30% of your available memory, as some memory
# is also required by the OS to cache rows. Even if you're not using
# MyISAM tables, you should still set it to 8-64M as it will also be
# used for internal temporary disk tables.
key_buffer_size=16M
# Size of the buffer used for doing full table scans of MyISAM tables.
# Allocated per thread, if a full scan is needed.
read_buffer_size=64K
read_rnd_buffer_size=256K
# This buffer is allocated when MySQL needs to rebuild the index in
# REPAIR, OPTIMZE, ALTER table statements as well as in LOAD DATA INFILE
# into an empty table. It is allocated per thread so be careful with
# large settings.
sort_buffer_size=256K
#*** INNODB Specific options ***
# Use this option if you have a MySQL server with InnoDB support enabled
# but you do not plan to use it. This will save memory and disk space
# and speed up some things.
#skip-innodb
# Additional memory pool that is used by InnoDB to store metadata
# information. If InnoDB requires more memory for this purpose it will
# start to allocate it from the OS. As this is fast enough on most
# recent operating systems, you normally do not need to change this
# value. SHOW INNODB STATUS will display the current amount used.
innodb_additional_mem_pool_size=9M
# If set to 1, InnoDB will flush (fsync) the transaction logs to the
# disk at each commit, which offers full ACID behavior. If you are
# willing to compromise this safety, and you are running small
# transactions, you may set this to 0 or 2 to reduce disk I/O to the
# logs. Value 0 means that the log is only written to the log file and
# the log file flushed to disk approximately once per second. Value 2
# means the log is written to the log file at each commit, but the log
# file is only flushed to disk approximately once per second.
innodb_flush_log_at_trx_commit=1
# The size of the buffer InnoDB uses for buffering log data. As soon as
# it is full, InnoDB will have to flush it to disk. As it is flushed
# once per second anyway, it does not make sense to have it very large
# (even with long transactions).
innodb_log_buffer_size=5M
# InnoDB, unlike MyISAM, uses a buffer pool to cache both indexes and
# row data. The bigger you set this the less disk I/O is needed to
# access data in tables. On a dedicated database server you may set this
# parameter up to 80% of the machine physical memory size. Do not set it
# too large, though, because competition of the physical memory may
# cause paging in the operating system. Note that on 32bit systems you
# might be limited to 2-3.5G of user level memory per process, so do not
# set it too high.
innodb_buffer_pool_size=32M
# Size of each log file in a log group. You should set the combined size
# of log files to about 25%-100% of your buffer pool size to avoid
# unneeded buffer pool flush activity on log file overwrite. However,
# note that a larger logfile size will increase the time needed for the
# recovery process.
innodb_log_file_size=88M
# Number of threads allowed inside the InnoDB kernel. The optimal value
# depends highly on the application, hardware as well as the OS
# scheduler properties. A too high value may lead to thread thrashing.
innodb_thread_concurrency=8
解决mysql耗内存的具体方法二:
更改后如下:
innodb_buffer_pool_size=576M ->256M InnoDB引擎缓冲区占了大头,首要就是拿它开刀
query_cache_size=100M ->16M 查询缓存
tmp_table_size=102M ->64M 临时表大小
key_buffer_size=256m ->32M
重启mysql服务后,虚拟内存降到200以下.
另外mysql安装目录下有几个文件:my-huge.ini 、my-large.ini、my-medium.ini...这几个是根据内存大小作的建议配置,新手在设置的时候也可以参考一下。
2G内存的MYSQL数据库服务器 my.ini优化 (my.ini)
2G内存,针对站少,优质型的设置,试验特:
table_cache=1024 物理内存越大,设置就越大.默认为2402,调到512-1024最佳
innodb_additional_mem_pool_size=8M 默认为2M
innodb_flush_log_at_trx_commit=0 等到innodb_log_buffer_size列队满后再统一储存,默认为1
innodb_log_buffer_size=4M 默认为1M
innodb_thread_concurrency=8 你的服务器CPU有几个就设置为几,默认为8
key_buffer_size=256M 默认为218 调到128最佳
tmp_table_size=64M 默认为16M 调到64-256最挂
read_buffer_size=4M 默认为64K
read_rnd_buffer_size=16M 默认为256K
sort_buffer_size=32M 默认为256K
max_connections=1024 默认为1210
试验一:
table_cache=512或1024
innodb_additional_mem_pool_size=2M
innodb_flush_log_at_trx_commit=0
innodb_log_buffer_size=1M
innodb_thread_concurrency=8 你的服务器CPU有几个就设置为几,默认为8
key_buffer_size=128M
tmp_table_size=128M
read_buffer_size=64K或128K
read_rnd_buffer_size=256K
sort_buffer_size=512K
max_connections=1024
试验二:
table_cache=512或1024
innodb_additional_mem_pool_size=8M
innodb_flush_log_at_trx_commit=0
innodb_log_buffer_size=4M
innodb_thread_concurrency=8
key_buffer_size=128M
tmp_table_size=128M
read_buffer_size=4M
read_rnd_buffer_size=16M
sort_buffer_size=32M
max_connections=1024
一般:
table_cache=512
innodb_additional_mem_pool_size=8M
innodb_flush_log_at_trx_commit=0
innodb_log_buffer_size=4M
innodb_thread_concurrency=8
key_buffer_size=128M
tmp_table_size=128M
read_buffer_size=4M
read_rnd_buffer_size=16M
sort_buffer_size=32M
max_connections=1024
经过测试.没有特殊情况,最好还是用默认的.
2G内存,针对站多,抗压型的设置,最佳:
table_cache=1024 物理内存越大,设置就越大.默认为2402,调到512-1024最佳
innodb_additional_mem_pool_size=4M 默认为2M
innodb_flush_log_at_trx_commit=1
(设置为0就是等到innodb_log_buffer_size列队满后再统一储存,默认为1)
innodb_log_buffer_size=2M 默认为1M
innodb_thread_concurrency=8 你的服务器CPU有几个就设置为几,建议用默认一般为8
key_buffer_size=256M 默认为218 调到128最佳
tmp_table_size=64M 默认为16M 调到64-256最挂
read_buffer_size=4M 默认为64K
read_rnd_buffer_size=16M 默认为256K
sort_buffer_size=32M 默认为256K
max_connections=1024 默认为1210
thread_cache_size=120 默认为60
query_cache_size=64M
优化mysql数据库性能的十个参数
(1)、max_connections:
允许的同时客户的数量。增加该值增加 mysqld 要求的文件描述符的数量。这个数字应该增加,否则,你将经常看到 too many connections 错误。 默认数值是100,我把它改为1024 。
(2)、record_buffer:
每个进行一个顺序扫描的线程为其扫描的每张表分配这个大小的一个缓冲区。如果你做很多顺序扫描,你可能想要增加该值。默认数值是131072(128k),我把它改为16773120 (16m)
(3)、key_buffer_size:
索引块是缓冲的并且被所有的线程共享。key_buffer_size是用于索引块的缓冲区大小,增加它可得到更好处理的索引(对所有读和多重写),到你能负担得起那样多。如果你使它太大,系统将开始换页并且真的变慢了。默认数值是8388600(8m),我的mysql主机有2gb内存,所以我把它改为 402649088(400mb)。
4)、back_log:
要求 mysql 能有的连接数量。当主要mysql线程在一个很短时间内得到非常多的连接请求,这就起作用,然后主线程花些时间(尽管很短)检查连接并且启动一个新线程。
back_log 值指出在mysql暂时停止回答新请求之前的短时间内多少个请求可以被存在堆栈中。只有如果期望在一个短时间内有很多连接,你需要增加它,换句话说,这值对到来的tcp/ip连接的侦听队列的大小。你的 *** 作系统在这个队列大小上有它自己的限制。试图设定back_log高于你的 *** 作系统的限制将是无效的。
当你观察你的主机进程列表,发现大量 264084 | unauthenticated user | xxx.xxx.xxx.xxx | null | connect | null | login | null 的待连接进程时,就要加大 back_log 的值了。默认数值是50,我把它改为500。
(5)、interactive_timeout:
服务器在关闭它前在一个交互连接上等待行动的秒数。一个交互的客户被定义为对 mysql_real_connect()使用 client_interactive 选项的客户。 默认数值是28800,我把它改为7200。
(6)、sort_buffer:
每个需要进行排序的线程分配该大小的一个缓冲区。增加这值加速order by或group by *** 作。默认数值是2097144(2m),我把它改为 16777208 (16m)。
(7)、table_cache:
为所有线程打开表的数量。增加该值能增加mysqld要求的文件描述符的数量。mysql对每个唯一打开的表需要2个文件描述符。默认数值是64,我把它改为512。
(8)、thread_cache_size:
可以复用的保存在中的线程的数量。如果有,新的线程从缓存中取得,当断开连接的时候如果有空间,客户的线置在缓存中。如果有很多新的线程,为了提高性能可以这个变量值。通过比较 connections 和 threads_created 状态的变量,可以看到这个变量的作用。我把它设置为 80。
(9)mysql的搜索功能
用mysql进行搜索,目的是能不分大小写,又能用中文进行搜索
只需起动mysqld时指定 --default-character-set=gb2312
(10)、wait_timeout:
服务器在关闭它之前在一个连接上等待行动的秒数。 默认数值是28800,我把它改为7200。
注:参数的调整可以通过修改 /etc/my.cnf 文件并重启 mysql 实现。这是一个比较谨慎的工作,上面的结果也仅仅是我的一些看法,你可以根据你自己主机的硬件情况(特别是内存大小)进一步修改。
我们仍然使用两个会话,一个会话 run,用于运行主 SQL;另一个会话 ps,用于进行 performance_schema 的观察:
主会话线程号为 29,
将 performance_schema 中的统计量重置,
临时表的表大小限制取决于参数 tmp_table_size 和 max_heap_table_size 中较小者,我们实验中以设置 max_heap_table_size 为例。
我们将会话级别的临时表大小设置为 2M(小于上次实验中临时表使用的空间),执行使用临时表的 SQL:
查看内存的分配记录:
会发现内存分配略大于 2M,我们猜测临时表会比配置略多一点消耗,可以忽略。
查看语句的特征值:
可以看到语句使用了一次需要落磁盘的临时表。
那么这张临时表用了多少的磁盘呢?
我们开启 performance_schema 中 waits 相关的统计项:
重做实验,略过。
再查看 performance_schema 的统计值:
可以看到几个现象:
1. 临时表空间被写入了 7.92MiB 的数据。
2. 这些数据是语句写入后,慢慢逐渐写入的。
来看看这些写入 *** 作的特征,该方法我们在 实验 03 使用过:
可以看到写入的线程是 page_clean_thread,是一个刷脏 *** 作,这样就能理解数据为什么是慢慢写入的。
也可以看到每个 IO *** 作的大小是 16K,也就是刷数据页的 *** 作。
结论:
我们可以看到,
1. MySQL 会基本遵守 max_heap_table_size 的设定,在内存不够用时,直接将表转到磁盘上存储。
2. 由于引擎不同(内存中表引擎为 heap,磁盘中表引擎则跟随 internal_tmp_disk_storage_engine 的配置),本次实验写磁盘的数据量和 实验 05 中使用内存的数据量不同。
3. 如果临时表要使用磁盘,表引擎配置为 InnoDB,那么即使临时表在一个时间很短的 SQL 中使用,且使用后即释放,释放后也会刷脏页到磁盘中,消耗部分 IO。
你有没有想过如何使用搜索功能在所有整站中实现!互联网博客和网站,大多数都采用MySQL数据库。MySQL提供了一个美妙的方式实施一个小的搜索引擎,在您的网站(全文检索)。所有您需要做的是拥有的MySQL 4.x及以上。MySQL提供全文检索功能,我们可以用它来 ??实现搜索功能。
首先,让我们为我们的例子中设置一个示例表。我们将创建一个名为第一个表。
CREATE TABLE articles (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
title VARCHAR(200),
body TEXT,
FULLTEXT (title,body)
)
在此表中还可以添加一些示例数据。执行后,插入查询。
INSERT INTO articles (title,body) VALUES
('MySQL Tutorial','DBMS stands for DataBase ...'),
('How To Use MySQL Well','After you went through a ...'),
('Optimizing MySQL','In this tutorial we will show ...'),
('1001 MySQL Tricks','1. Never run mysqld as root. 2. ...'),
('MySQL vs. YourSQL','In the following database comparison ...'),
('MySQL Security','When configured properly, MySQL ...')
一旦样本数据是准备好,我们可以开始我们的全文检索功能。
自然语言全文搜索
尝试我们的示例表上执行下面的SELECT查询。
SELECT * FROM articles
WHERE MATCH (title,body) AGAINST ('database')
你就能看到结果如下:
在下面的数据库比较5 MySQL与YourSQL的...
MySQL教程DBMS 1代表数据库...
我们在上面的SQL查询(标题,正文)反对(“数据库”)的比赛,选择所有的记录,列标题和正文进行全文搜索。
您可以修改该查询,并创建您自己的版本,以自己的数据库中执行全文搜索。
布尔全文搜索
它可能发生,你要指定某些关键字在您的搜索条件。此外,您可能要忽略某些关键字。布尔全文搜索可以用来执行这些要求的全文检索。
检查下面的SELECT查询。
SELECT * FROM articles WHERE MATCH (title,body)
AGAINST ('+MySQL -YourSQL' IN BOOLEAN MODE)
如果您发现上述选择查询,我们增加了布尔MODE反对()。这个查询将获取MySQL的关键字,但不YourSQL关键字的所有记录。请注意+和-我们以前指定的关键字!
在执行此功能,MySQL使用什么有时也被称为布尔逻辑作为暗示,其中:+代表与-代表不是[无 *** 作员]暗示或
以下是几个例子布尔搜索条件。
“苹果香蕉
查找行至少包含两个词之一。
“+苹果+果汁”
寻找包含两个单词的行。
“+苹果Macintosh
查找行包含“苹果”,但排名的行,如果它们也包含“麦金塔”。
“+苹果Macintosh的”
查找行包含“苹果”这个词,而不是“麦金塔”。
'+苹果Macintosh的“
查找包含单词“苹果”的行,但如果该行也包含单词“麦金塔”,速度比如果行不低。这是“软”比“+苹果Macintosh电脑”,为“麦金塔”的存在,导致该行不能在所有返回的搜索。
'+苹果+(>营业额<馅饼)“
行包含“苹果”和“营业额”,或“苹果”和“馅饼”(任何顺序)的话,但排名“苹果的营业额”比“苹果馅饼“。
限制
支持全文检索的MyISAM表只。MySQL 4.1中,使用多个字符设置一个单一的表内的支持。然而,在一个FULLTEXT索引的所有列,必须使用相同的字符集和校对规则。MATCH()列列表必须匹配完全在一些列清单表的FULLTEXT索引定义,除非这场比赛()是在布尔模式。布尔模式搜索,可以做非索引列,虽然他们很可能是缓慢的。
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