I\'ve got a table that receives around 50 inserts per second. Right now there are 700k records, using 160 MiB. My little VPS with 1 gig of ram is keeping up, but just barely.
Googling around just finds instructions for changing from one format to another, but I can\'t seem to find how exactly to make sure which of开发者_StackOverflow社区 these I have first.
I have some very large databases (some up to 150M rows) I\'m working with & after initially inserting the data there isn\'t much INSERT\'s going on; just a lot of SELECT\'s & usage of JOINS.
I\'ve been trying to find out how to best set these settings, but haven\'t been able to find much info on them. Some of them I\'ve seen before with regular MySQL installations, but some others I haven
ICE Version: infobright-3.5.2-p1-win_32 I’m trying to load a large file but keep running into problems with errors such as:
I\'m running a django system over mysql in amazon\'s cloud, and the database default is innodb. But now I want to put a fulltext index on a couple of tables for searching, which evidently requires myi
From MongoDb\'s site, the current only support storage engine is Memory-Mapped Storage Engine. I am wondering how it supports atomicity in the presence of system crash(i.e power failure)? Does it depe
I\'m using a mysql base to store results from various test over a large amount of data (hundred of millions reco开发者_如何转开发rdings).
Creating my tables from my models.py. I donno how to do 2 things - I want to specify MySQL to create some of my tables as InnoDB & some as MyISAM. How do I do it?
Formerly I was using MyISAM storage engine for MySql and I had defined the combination of three fields to be unique.
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