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Navneet Kumar

MySQL Performance Blog » What to tune in MySQL Server after installation - 0 views

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    tuning mysql server for perfornmance
Navneet Kumar

MySQL AB :: High Performance MySQL Chapter 6: Server Performance Tuning - 0 views

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    performance tuning for high performnace mysql
Navneet Kumar

Pythian Group Blog » MySQL: Tuning filesorts and temporary tables - 0 views

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    filesort and temporary tables in query
Navneet Kumar

Tuning a MySQL server in 5 minutes - 0 views

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    max_connections  max_user_connections table_cache
Navneet Kumar

mysql query cache - 0 views

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    tuning mysql performance with query caching
Navneet Kumar

MySQL Performance Blog » MySQL Query Cache - 0 views

  • It does not cache the plan but full result sets
  • so it looks at first letter of the query and if it is “S” it proceeds with query lookup in cache if not - skips it.
  • Might not work with transactions
  • ...15 more annotations...
  • uses non-deterministic functions such as UUID(), RAND(), CONNECTION_ID() etc it will not be cached.
  • If table gets modification all queries derived from this table are invalidated at once
  • if you have high write application such as forums, query cache efficiency might be pretty low due to this.
  • all queries are removed from cache on table modifications - if there are a lot of queries being cached this might reduce update speed a bit
  • Qcache_free_memory and Qcache_lowmem_prunes
  • number of your selects - Com_select and see how many of them are cached. Query Cache efficiency would be Qcache_hits/(Com_select+Qcache_hits).
  • One portion of query cache overhead is of course inserts so you can see how much of inserted queries are used: Qcache_hits/Qcache_inserts Other portion of overhead comes from modification statements which you can calculate by (Com_insert+Com_delete+Com_update+Com_replace)/Qcache_hits
  • want to set query cache
  • means it is much more efficient as query which required processing millions of rows now can be instantly summoned from query cache
  • It also means query has to be exactly the same and deterministic, so hit rate would generally be less
  • full page caching
  • not using query_cache_wlock_invalidate=ON locking table for write would not invalidate query cache so you can get results evenif table is locked and is being prepared to be updated
  • it can serve responses very fast doing no extra conversion or processing.
  • but it is still not as fast as specially designed systems such as memcached or local shared memory.
  • It is not distributed If you have 10 slaves and use query cache on all of them cache content will likely be the same, so you have multiple copies of the same data in cache effectively wasting memory
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    mysql query caching
Navneet Kumar

10 secret MySQL client startup options you should know - 1 views

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    mysql client options
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