Today marks the official launch of Percona.tv. We'll be uploading technical screencasts, conference video, and anything else cool we can think up. If you've got ideas or requests, let us know and we'll do our best to accommodate!
Entry posted by Ryan Lowe | 7 comments
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Hi again!
Just a moment ago, I read this post by Peter
Gulutzan. In this post, Peter explains a little trick that
allows you to capture the SQL state in a variable whenever an
error occurs in your MySQL stored routine code.MySQL
CONDITIONs and HANDLERsFor the
uninitiated: in MySQL stored routines, you can declare
HANDLERs which are pieces of code that
are executed only in case a particular CONDITION occurs. This device serves
the same purpose …
There has been a significant increase in interest in the Memcached, the open source distributed memory object-caching system, in recent months, as a number of vendors look to exploit its popularity in Web 2.0 and social networking environments.
Like Hadoop, which has become the focus of a number of commercial plays, it would appear that the time is right for commercialization of Memcached. But what is it, here did it come from, and what are the chances for vendors to rake in serious cash? Here are the details.
What is it?
Pronounced mem-cash-dee, Memcached was originally created by
Danga Interactive (the developer of LiveJournal,
which was acquired by Six Apart in 2005) to speed up the
performance of dynamic Web applications by alleviating database
load. Memcached has become an industry standard for improving the
performance of dynamic websites.
The code is available from the …
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Executive Summary: A query like TPC-H Query 17 can be sped up by
large factors by using straight_joins and clustering indexes. (This entry posted
by Dave.)
In a previous post, we wrote about queries like TPC-H query 2,
and the use of straight_join to improve performance.
This week, we consider Query 17, described by the TPC-H
documentation as
“The Small-Quantity-Order Revenue Query considers parts of a
given brand and with a given container type and determines the
average lineitem quantity of such parts ordered for all orders
(past and pending) in the 7-year database. What would the
average yearly gross (undiscounted) loss in revenue if orders for
these parts with a quantity of this average were no longer
taken?”
Our initial run on Q17 (same hardware as before) timed out …
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I was curious about Google Fusion Tables, and gave it a try.
I uploaded the employees table from the employees test
database, 16 MB of data, about 300,000 rows. Since the
maximum limit per table is 100 MB, I expected interesting
results.
However, one of my first tests, with aggregation was quite
disappointing.
A simple group by gender was executed in about 30
seconds.
InnoDB on my laptop did a much better job:
select gender , count(*) from employees group by gender;
+--------+----------+
| gender | count(*) |
+--------+----------+
| M | 179973 |
| F | 120051 | …[Read more]
This is the 150th edition of Log Buffer, the weekly review of database blogs. Someone accidentally left Dave Edwards‘ cage unlocked, and he escaped, thus leaving me with the pleasurable duty of compiling the 150th weekly Log Buffer.
Many people other than Dave are finding release this week. Giuseppe Maxia explains some details of MySQL’s New Release Model. Andrew Morgan announces a New MySQL Cluster Maintenance Release. Aleksandr Kuzminsky of the MySQL Performance …
[Read more]In many applications, MyISAM can be used successfully if the proportion of write operations is only a small fraction of the read operations. As the tables grow, the 4 GB limitation in the key_buffer size caused performance issues and other strategies. Wait… did I miss something… From a recent comment to a post from Matt I re-read the MySQL documentation and realized I missed a big change that occurred with versions 5.0.52 and 5.1.23 (http://dev.mysql.com/doc/refman/5.1/en/server-system-variables.html#sysvar_key_buffer_size)
As of MySQL 5.1.23, values larger than 4GB are allowed for 64-bit platforms
So, key_buffer as large or even larger than 32 GB are possible. That is an important design consideration that needs to be taken into account when tuning …
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If you have missed Michael McFadden's session at the last MySQL Conference, here's a chance to catch up. On June 11, at 17:00 UTC Michael McFadden will present at a free webinar, on the subject of Faster Data Reduction and Smoothing for Analysis & Archival in MySQL. Don't let the "For ISVs" distract you. This session is a collection of very practical and down to earth tips for tasks that can be in the TODO list of any DBA. |
In addition to being practical, …
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If you have missed Michael McFadden's session at the last MySQL Conference, here's a chance to catch up. On June 11, at 17:00 UTC Michael McFadden will present at a free webinar, on the subject of Faster Data Reduction and Smoothing for Analysis & Archival in MySQL. Don't let the "For ISVs" distract you. This session is a collection of very practical and down to earth tips for tasks that can be in the TODO list of any DBA. |
In addition to being practical, …
[Read more]|
If you have missed Michael McFadden's session at the last MySQL Conference, here's a chance to catch up. On June 11, at 17:00 UTC Michael McFadden will present at a free webinar, on the subject of Faster Data Reduction and Smoothing for Analysis & Archival in MySQL. Don't let the "For ISVs" distract you. This session is a collection of very practical and down to earth tips for tasks that can be in the TODO list of any DBA. |
In addition to being practical, …
[Read more]