mySQL 100% CPU, how to config my.cnf for lots of querys
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mySQL 100% CPU, how to config my.cnf for lots of querys
Hello, this is my first post here, hope everything is ok.
I have a server which I use for a torrent tracker, and mySQL is constant at about 80-90% and the server doesn't always respond.. I spent last couple of days searching different configs for my.cnf, but didn't find the right combination because I think the server can handle the load with the right settings.. maybe someone can help me. Thank you.
Config:
CPU : Opteron 155
RAM : 1,5 GB
HDD : Raptor 36 GB 10.000 rpm
OS : FedoraCore 7, php 5.2.2, mySQL 5.0.45
# Example MySQL config file for very large systems.
#
# This is for a large system with memory of 1G-2G where the system runs mainly
# MySQL.
#
# You can copy this file to
# /etc/my.cnf to set global options,
# mysql-data-dir/my.cnf to set server-specific options (in this
# installation this directory is /var/lib/mysql) or
# ~/.my.cnf to set user-specific options.
#
# In this file, you can use all long options that a program supports.
# If you want to know which options a program supports, run the program
# with the "--help" option.
# The following options will be passed to all MySQL clients
[client]
#password = your_password
port = 3306
socket = /var/lib/mysql/mysql.sock
# Here follows entries for some specific programs
# The MySQL server
[mysqld]
log-slow-queries=/var/log/mysql-slow.log
port = 3306
socket = /var/lib/mysql/mysql.sock
skip-locking
key_buffer = 256M
key_buffer_size = 30M
join_buffer_size = 2M
max_allowed_packet = 1M
#table_cache = 512
sort_buffer_size = 32M
read_buffer_size = 2M
read_rnd_buffer_size = 8M
myisam_sort_buffer_size = 256M
thread_cache_size = 32
query-cache-type = 1
query-cache-size = 12M
query_cache_limit = 8M
query_prealloc_size = 512K
query_alloc_block_size = 128K
wait_timeout = 15
tmp_table_size = 64MB
max_connections = 1500
#new
table_cache = 1024
long_query_time=5
connect_timeout=15
# Try number of CPU's*2 for thread_concurrency
thread_concurrency = 2
# Don't listen on a TCP/IP port at all. This can be a security enhancement,
# if all processes that need to connect to mysqld run on the same host.
# All interaction with mysqld must be made via Unix sockets or named pipes.
# Note that using this option without enabling named pipes on Windows
# (via the "enable-named-pipe" option) will render mysqld useless!
#
skip-networking
# Replication Master Server (default)
# binary logging is required for replication
log-bin=mysql-bin
# required unique id between 1 and 2^32 - 1
# defaults to 1 if master-host is not set
# but will not function as a master if omitted
server-id = 1
# Replication Slave (comment out master section to use this)
#
# To configure this host as a replication slave, you can choose between
# two methods :
#
# 1) Use the CHANGE MASTER TO command (fully described in our manual) -
# the syntax is:
#
# CHANGE MASTER TO MASTER_HOST=<host>, MASTER_PORT=<port>,
# MASTER_USER=<user>, MASTER_PASSWORD=<password> ;
#
# where you replace <host>, <user>, <password> by quoted strings and
# <port> by the master's port number (3306 by default).
#
# Example:
#
# CHANGE MASTER TO MASTER_HOST='125.564.12.1', MASTER_PORT=3306,
# MASTER_USER='joe', MASTER_PASSWORD='secret';
#
# OR
#
# 2) Set the variables below. However, in case you choose this method, then
# start replication for the first time (even unsuccessfully, for example
# if you mistyped the password in master-password and the slave fails to
# connect), the slave will create a master.info file, and any later
# change in this file to the variables' values below will be ignored and
# overridden by the content of the master.info file, unless you shutdown
# the slave server, delete master.info and restart the slaver server.
# For that reason, you may want to leave the lines below untouched
# (commented) and instead use CHANGE MASTER TO (see above)
#
# required unique id between 2 and 2^32 - 1
# (and different from the master)
# defaults to 2 if master-host is set
# but will not function as a slave if omitted
#server-id = 2
#
# The replication master for this slave - required
#master-host = <hostname>
#
# The username the slave will use for authentication when connecting
# to the master - required
#master-user = <username>
#
# The password the slave will authenticate with when connecting to
# the master - required
#master-password = <password>
#
# The port the master is listening on.
# optional - defaults to 3306
#master-port = <port>
#
# binary logging - not required for slaves, but recommended
#log-bin=mysql-bin
# Point the following paths to different dedicated disks
#tmpdir = /tmp/
#log-update = /path-to-dedicated-directory/hostname
# Uncomment the following if you are using BDB tables
#bdb_cache_size = 384M
#bdb_max_lock = 100000
# Uncomment the following if you are using InnoDB tables
#innodb_data_home_dir = /var/lib/mysql/
#innodb_data_file_path = ibdata1:2000M;ibdata2:10M:autoextend
#innodb_log_group_home_dir = /var/lib/mysql/
#innodb_log_arch_dir = /var/lib/mysql/
# You can set .._buffer_pool_size up to 50 - 80 %
# of RAM but beware of setting memory usage too high
#innodb_buffer_pool_size = 384M
#innodb_additional_mem_pool_size = 20M
# Set .._log_file_size to 25 % of buffer pool size
#innodb_log_file_size = 100M
#innodb_log_buffer_size = 8M
#innodb_flush_log_at_trx_commit = 1
#innodb_lock_wait_timeout = 50
[mysqldump]
quick
max_allowed_packet = 16M
[mysql]
no-auto-rehash
# Remove the next comment character if you are not familiar with SQL
#safe-updates
[isamchk]
key_buffer = 512M
sort_buffer_size = 256M
read_buffer = 2M
write_buffer = 2M
[myisamchk]
key_buffer = 256M
sort_buffer_size = 256M
read_buffer = 2M
write_buffer = 2M
[mysqlhotcopy]
interactive-timeout
You have gathered some excellent statistics (kudos!). I don't see anything that would account for the problem, but here are two links that might help:
http://dev.mysql.com/books/hpmysql-excerpts/ch06.html
<= Search for the section "Solving CPU Bottlenecks"
You've already covered much of this ground...
... but the article has some additional suggestions you might find useful
I recently faced with this problem where my mysql service was taking 99.9% cpu for even a single mysql query. I then tried many different my.cnf but lastly the solution I find was due to problem in coding of web application i.e. in Php file. Also, did some indexing too.
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