I was experiencing a very weird bug in my Python on MySQL app. The following code was in a loop that was called many times. The code never raised an error, but also never inserted any data:
I\'ve got an InnoDB table in MySQL 5.0.77 that looks like this: CREATE TABLE `products_vendors` ( `vendor_id` int(10) unsigned NOT NULL,
I\'m having some issues dealing with updating and inserting millions of row in a MySQL Database.I need to flag 50 million rows in Table A, insert some data from the marked 50 million rows into Table B
Database is MySQL with MyIS开发者_JAVA技巧AM engine. Table definition: CREATE TABLE IF NOT EXISTSmatches(
Using: LAMP (PHP5, MYSQL 5+/MyISAM) I am consuming a lot of data from a number of different feeds. There could be hundreds or thousands+ of records on any given day.
Sure, for a transactional database InnoDB is a slam dunk.MyISAM doesn\'t support transactions or row-level locking.
I\'m seeing a pending insert lock up a MyISAM table. The query itself isn\'t a standout, but in the FULL PROCESSLIST it looks like there\'s an INSERT with a lock and a bunch of SELECTs waiting on it.
Whatwould be an obvious choice as a storage engine for a Craiglist type site - MyIsam or InnoDband Why?
Assume I already have a master and a slave DB server that are up and running. I\'d like to introduce incremental backups/point in time recovery into the mix. Since I\'ve already got binary logs going
I\'ve read variou开发者_StackOverflow中文版s sources (like this, this, or this one) about the difference between use_result() (unbuffered queries) and store_result() (buffered queries) and also know t
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