Optimizations for load spikes

Hello, I have a hosting server with around 100 users and sometimes mysql is using very high RAM. Can you please help me to adjust my configuration?


IntelCPU E3-1245 V2 @ 3.40GHz
32 GB Ram

my.cnf


[mysqld]
innodb_file_per_table=1

max_connections = 250


large-pages
innodb_use_sys_malloc = 0
innodb_buffer_pool_size=2G
large_pages = true

query_cache_size=80M
tmp_table_size=60M
max_heap_table_size=60M
key_buffer=64M
thread_cache_size=32

table_definition_cache = 1024

key_buffer_size=6G
log-slow-queries = /var/log/slowqueries
long_query_time = 3
log-slow-queries = /var/log/slowqueries
long_query_time = 3
max_allowed_packet=268435456
open_files_limit=50000
default-storage-engine=MyISAM

Mysqltuner result


>>  MySQLTuner 1.3.0 - Major Hayden
>>  Bug reports, feature requests, and downloads at http://mysqltuner.com/
>>  Run with '--help' for additional options and output filtering
[OK] Logged in using credentials passed on the command line
[OK] Currently running supported MySQL version 5.5.45-cll-lve
[OK] Operating on 64-bit architecture

-------- Storage Engine Statistics -------------------------------------------
[--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM
[--] Data in MyISAM tables: 2G (Tables: 12814)
[--] Data in InnoDB tables: 841M (Tables: 11430)
[--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17)
[--] Data in MEMORY tables: 372K (Tables: 215)
[!!] Total fragmented tables: 1097

-------- Security Recommendations  -------------------------------------------
[OK] All database users have passwords assigned

-------- Performance Metrics -------------------------------------------------
[--] Up for: 14h 26m 3s (6M q [119.692 qps], 124K conn, TX: 33B, RX: 1B)
[--] Reads / Writes: 81% / 19%
[--] Total buffers: 8.2G global + 2.8M per thread (250 max threads)
[OK] Maximum possible memory usage: 8.8G (28% of installed RAM)
[OK] Slow queries: 0% (138/6M)
[OK] Highest usage of available connections: 32% (80/250)
[OK] Key buffer size / total MyISAM indexes: 6.0G/968.0M
[OK] Key buffer hit rate: 96.4% (19M cached / 699K reads)
[OK] Query cache efficiency: 64.4% (3M cached / 4M selects)
[!!] Query cache prunes per day: 298179
[OK] Sorts requiring temporary tables: 0% (152 temp sorts / 195K sorts)
[!!] Joins performed without indexes: 4067
[!!] Temporary tables created on disk: 34% (173K on disk / 500K total)
[OK] Thread cache hit rate: 99% (114 created / 124K connections)
[!!] Table cache hit rate: 0% (400 open / 258K opened)
[OK] Open file limit used: 1% (560/50K)
[OK] Table locks acquired immediately: 99% (2M immediate / 2M locks)
[OK] InnoDB buffer pool / data size: 2.0G/841.8M
[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
    Adjust your join queries to always utilize indexes
    When making adjustments, make tmp_table_size/max_heap_table_size equal
    Reduce your SELECT DISTINCT queries without LIMIT clauses
    Increase table_cache gradually to avoid file descriptor limits
    Read this before increasing table_cache over 64: http://bit.ly/1mi7c4C
Variables to adjust:
    query_cache_size (> 80M)
    join_buffer_size (> 128.0K, or always use indexes with joins)
    tmp_table_size (> 60M)
    max_heap_table_size (> 60M)
    table_cache (> 400)

Thank you!

24x7server

December 26, 2015 11:26

Hello :), I will suggest please try run Mysqltuner scripts on your server when you have more than 24 hours uptime of your mysql services and try to monitor your mysql server process list with "mysqladmin proc " command. With this command you will get all mysql process list with the database name and database user.

cPanelMichael

December 26, 2015 16:22

Hello :) Yes, I suggest running the "mysqladmin processlist" command when the memory usage is high to see if you can get a better idea about which database is utilizing the most resources. Thank you.

Optimizations for load spikes

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