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Thread: mysql 4.1 - 50 Millieion records each year

Started 1 month ago by Su Ni
I have came across a situation where app generates around 50 M records each year.. We are using mysql 4.1 and its not possible to upgrade at this time.. Can any one provide inputs, ideas on how this situation can be handled.. As far as I know 4.1 does not support partitioning... The table structure is very simple with few columns.. The problem is how to handle this many records ...
Site: MySQL AB - MySQL Forums  MySQL AB - MySQL Forums - site profile
Forum: Performance  Performance - forum profile
Total authors: 2 authors
Total thread posts: 2 posts
Thread activity: no new posts during last week
Domain info for: mysql.com

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Rick James replied 1 month ago
There are many factors leading to performance, or lack thereof. Number of rows is rarely the primary cause of poor performance. Sorry, I need more than a sketch of the tables; please provide * SHOW CREATE TABLE tbl\G -- engine, indexes * SHOW TABLE STATUS LIKE 'tbl'\G -- sizes * EXPLAIN SELECT ...\G -- clues of inefficiencies * SHOW VARIABLES LIKE '%buffer%'; -- cache size and ...

 

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Name
Posts
Su Ni
1
user's latest post:
mysql 4.1 - 50 Millieion records...
Published (2009-11-05 00:15:00)
I have came across a situation where app generates around 50 M records each year.. We are using mysql 4.1 and its not possible to upgrade at this time.. Can any one provide inputs, ideas on how this situation can be handled.. As far as I know 4.1 does not support partitioning... The table structure is very simple with few columns.. The problem is how to handle this many records in one table and still have decent performance.. Table structure...
Rick James
1
user's latest post:
Re: mysql 4.1 - 50 Millieion...
Published (2009-11-05 23:42:00)
There are many factors leading to performance, or lack thereof. Number of rows is rarely the primary cause of poor performance. Sorry, I need more than a sketch of the tables; please provide * SHOW CREATE TABLE tbl\G -- engine, indexes * SHOW TABLE STATUS LIKE 'tbl'\G -- sizes * EXPLAIN SELECT ...\G -- clues of inefficiencies * SHOW VARIABLES LIKE '%buffer%'; -- cache size and surround them with [ code ] and [ / code ] 50M...

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