Skip to content

Instantly share code, notes, and snippets.

@sr75
Created June 6, 2012 22:59
Show Gist options
  • Star 6 You must be signed in to star a gist
  • Fork 2 You must be signed in to fork a gist
  • Save sr75/2885360 to your computer and use it in GitHub Desktop.
Save sr75/2885360 to your computer and use it in GitHub Desktop.
mysql-innodb-large-server-example-configuration
# *** Application-specific options follow here ***
#
# The MySQL server
#
[mysqld]
# 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 = 100
# Maximum allowed size for a single HEAP (in memory) table. This option
# is a protection against the accidential creation of a very large HEAP
# table which could otherwise use up all memory resources.
max_heap_table_size = 64M
# Size of the buffer used for doing full table scans.
# Allocated per thread, if a full scan is needed.
read_buffer_size = 2M
# When reading rows in sorted order after a sort, the rows are read
# through this buffer to avoid disk seeks. You can improve ORDER BY
# performance a lot, if set this to a high value.
# Allocated per thread, when needed.
read_rnd_buffer_size = 16M
# Sort buffer is used to perform sorts for some ORDER BY and GROUP BY
# queries. If sorted data does not fit into the sort buffer, a disk
# based merge sort is used instead - See the "Sort_merge_passes"
# status variable. Allocated per thread if sort is needed.
sort_buffer_size = 8M
# This buffer is used for the optimization of full JOINs (JOINs without
# indexes). Such JOINs are very bad for performance in most cases
# anyway, but setting this variable to a large value reduces the
# performance impact. See the "Select_full_join" status variable for a
# count of full JOINs. Allocated per thread if full join is found
join_buffer_size = 8M
# 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 = 64M
# Only cache result sets that are smaller than this limit. This is to
# protect the query cache of a very large result set overwriting all
# other query results.
query_cache_limit = 2M
# Thread stack size to use. This amount of memory is always reserved at
# connection time. MySQL itself usually needs no more than 64K of
# memory, while if you use your own stack hungry UDF functions or your
# OS requires more stack for some operations, you might need to set this
# to a higher value.
thread_stack = 192K
# Set the default transaction isolation level. Levels available are:
# READ-UNCOMMITTED, READ-COMMITTED, REPEATABLE-READ, SERIALIZABLE
transaction_isolation = READ-COMMITTED
# 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 = 64M
# 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 = 16M
# 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 = 2G
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment