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Invalidating query cache entries key mysql

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In basic terms the processing steps involved are compression of time series data in per second resolution into per minute, hour and day resolutions. It is the Query #3 that eventually produces the error "", presumably because it is the first one to timeout.When My SQL locks up, I execute SHOW PROCESSLIST command and I see the following queries: N User Time Status SQL query 1 system user XX update INSERT INTO `db A`.`table A` (...) VALUES (...) 2 ???? It looks like some sort of dead lock, but I cannot understand why.but really, this looks mostly like a case of the actual thread status being misreported, and your issue is insufficient disk I/O bandwidth for the workload (or excessive flushing).Try Alon, you seem to be making lots of different accounts, which is making editing your question harder.You should contact the help centre via the link at the bottom of the page, to ask for your multiple accounts to be merged.

invalidating query cache entries key mysql-32

Standard Query Cache; timestamp=5872026465492992 Ehcache General Data Region - key: sql: select querycache0_as id1_1_, querycache0_.author_id as author_i4_1_, querycache0_.created_on as created_2_1_, querycache0_as name3_1_ from Post querycache0_ order by querycache0_.created_on desc; parameters: ; named parameters: ; max rows: 10; transformer: org.hibernate.transform.

) - and move your way up as the read performance increases without reaching "Waiting for query cache lock" on writes.

"Be cautious about sizing the query cache excessively large, which increases the overhead required to maintain the cache, possibly beyond the benefit of enabling it. Sizes in the hundreds of megabytes might not be." is not a useful answer.

, mostly INSERT statements, around 5-10 rows per second. In 5-10 seconds when it will be time to process new data again the same lock up will happen. Query #2 is the updating of the post-processed data.

A PHP based application is running on the server that reads the freshly replicated data every 5-10 seconds, processes it and stores (INSERT ON DUPLICATE KEY UPDATE) results in a separate database . A web application displays the post-processed data for the user. Query #3 is streaming (unbuffered) the newly replicated data for processing.