June 19, 2013

Post: SHOW INNODB STATUS walk through

in additional memory pool (so you can check if it is sized right), total number of pages in buffer pool, number of pages free, pages allocated by database

Post: MySQL Query Cache

for online applications. Limited amount of usable memory – Queries are constantly being invalidated from query cache by table updates, this means number of queries intotal number of queries as if query

Post: Shard-Query EC2 images available

Database changed mysql> show tableQuery for yourself. Spin up the desired number of EC2 instances using on of the the AMI images. You should spin a number ofquery script will run one more more semicolon terminated SQL statements. The queries for the benchmark are in ~ec2-user/shard-query/queries.sql

Post: MySQL extensions for hosting

table accounting to the database, accessible with a new set of commands such as SHOW TABLEfor only a few customers simply because their skills in SQLnumber of queries issued or any other information find active tables which do not have any indexes used meaning table

Post: Shard-Query turbo charges Infobright community edition (ICE)

table). In order to demonstrate the power of Shard-Query it is important to test complex queriesservers, it performs about 6x better as the degree of parallelism is controlled by the number of

Post: Advanced index analysis with mk-index-usage

tables in a database, so you can query them with SQL. I logged all queries to the blog for a little while, and then secure-copied the queryquery these tables any way you want. The documentation includes a number of other canned queries

Post: MySQL Crash Recovery

tables can contain partially completed statements as well as some of updates totallyserver with real servers (ie clone queries from other slave) before putting traffic to it. Innumber of tables (Some users have hundreds of thousands of tables per database host). This one is pretty much part of

Post: Analyzing air traffic performance with InfoBright and MonetDB

number (revision)=IB_3.2_GA_5316(ice) MonetDB version: serverQuery execution So I really have data for InfoBright and MonetDB, let see how fast they are in different queries. First favorite query for any database

Post: Sphinx: Going Beyond full text search

for SQL databases rather than full text search applications. Group By was added to Sphinx so we could search number of matches per day, or number ofnumber of posts in total for forum or in thread but most of other stuff is built with Sphinx. This also uses fair amount of

Post: Improved InnoDB fast index creation

database contained only the table I used in my previous examples): $ mysqldump -uroot test > dump_unoptimized.sqlfor a specific table. There’s also a number of cases when this optimization is not applicable: UNIQUE indexes in ALTER TABLE