June 18, 2013

Comment: MySQL Partitioning - can save you or kill you

row queries (SELECT, INSERT, DELETE, UPDATE) are similar in speedrow writes are likely to be slower in PARTITIONed tables unless you include something to facilitate pruning. A billion rows

Post: Why MySQL could be slow with large tables ?

MySQL has installations with many billions of rows1 row in set (4 min 58.63 sec) mysql> select count(pad) from large where val between 1 and 100; +————+ | count(pad) | +————+ | 314008 | +————+ 1 row

Post: How much memory Innodb locks really take ?

mysql> begin; Query OK, 0 rows affected (0.00 sec) mysql> select count(i) from sample for update; +———-+ | count(i) | +———-+ | 1638400 | +———-+ 1 rowrow level locks should not be the problem even for rather large databases – even billion of locked rows