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# Example MySQL config file for small systems.
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# This is for a system with little memory (<= 64M) where MySQL is only used
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# from time to time and it's important that the mysqld daemon
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# doesn't use much resources.
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# You can copy this file to
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# /etc/my.cnf to set global options,
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# mysql-data-dir/my.cnf to set server-specific options (in this
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# installation this directory is @localstatedir@) or
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# ~/.my.cnf to set user-specific options.
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# In this file, you can use all long options that a program supports.
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# If you want to know which options a program supports, run the program
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# with the "--help" option.
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# The following options will be passed to all MySQL clients
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#password = your_password
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port = @MYSQL_TCP_PORT@
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socket = @MYSQL_UNIX_ADDR@
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# Here follows entries for some specific programs
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port = @MYSQL_TCP_PORT@
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socket = @MYSQL_UNIX_ADDR@
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max_allowed_packet = 1M
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sort_buffer_size = 64K
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read_buffer_size = 256K
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read_rnd_buffer_size = 256K
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net_buffer_length = 2K
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# Don't listen on a TCP/IP port at all. This can be a security enhancement,
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# if all processes that need to connect to mysqld run on the same host.
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# All interaction with mysqld must be made via Unix sockets or named pipes.
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# Note that using this option without enabling named pipes on Windows
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# (using the "enable-named-pipe" option) will render mysqld useless!
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# Uncomment the following if you want to log updates
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# Uncomment the following if you are using InnoDB tables
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#innodb_data_home_dir = @localstatedir@/
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#innodb_data_file_path = ibdata1:10M:autoextend
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#innodb_log_group_home_dir = @localstatedir@/
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#innodb_log_arch_dir = @localstatedir@/
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# You can set .._buffer_pool_size up to 50 - 80 %
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# of RAM but beware of setting memory usage too high
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#innodb_buffer_pool_size = 16M
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#innodb_additional_mem_pool_size = 2M
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# Set .._log_file_size to 25 % of buffer pool size
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#innodb_log_file_size = 5M
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#innodb_log_buffer_size = 8M
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#innodb_flush_log_at_trx_commit = 1
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#innodb_lock_wait_timeout = 50
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max_allowed_packet = 16M
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# Remove the next comment character if you are not familiar with SQL