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3 handy tools to remove problematic MySQL processes

DBAs often encounter situations where they need to kill queries to ensure there are no long-running queries on a MySQL server that would impact performance. Long-running queries can be the result of many factors. Fortunately, Percona Server contains some handy tools to remove problematic MySQL processes. I will highlight all of the tools via some examples in this post.

pt-kill:
There have been some good posts on this blog about the pt-kill tool, like this one by Arunjith Aravindan titled “How a set of queries can be killed in MySQL using Percona Toolkit’s pt-kill.” Let’s dive into pt-kill a bit further with a few more …

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Baron Schwartz Presents on Time-Series Data at Scale13X

This past weekend we had the pleasure of attending Scale13X in Los Angeles. It was full of great conversations with solid people, and it was nice to escape the winter cold for a couple days.

Baron Schwartz presented on VivdCortex’s approach to building a time-series database in MySQL. The talk is titled Scaling VividCortex’s Big Data Systems on MySQL, and the recording and video can be seen here. If you are not automaticaly directed, Baron’s presentation begins at 5:49:00.

Below are the slides and a brief description to pique your interest.

In this talk, Baron Schwartz discusses VividCortex’s unique time-series data requirements and implementation, including:

  • How we built a solution using MySQL and additional components such as Redis …
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OurSQL Episode 205: How to Learn About MySQL

Podcasts Learning

In this episode, we discuss resources available for learning more about MySQL and its forks.

OurSQL Episode 205: How to Learn About MySQL

Podcasts Learning

In this episode, we discuss resources available for learning more about MySQL and its forks.

MySQL Cluster 7.4 is GA!

The General Availability of MySQL Cluster 7.4 has just been announced by Oracle.

The MySQL team at Oracle are excited to announce the General Availability of MySQL Cluster 7.4, ready for production workloads.

MySQL Cluster 7.4.4 can be downloaded from mysql.com and the release notes viewed in the MySQL docs.

Figure 1 provides a summary of the enhancements delivered in this release:

  • Performance
    • 200M NoSQL Reads/Sec
    • 2.5M SQL Ops/Sec
    • 50% …
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Connector/Python 2.1.1 Alpha released with C Extension

MySQL Connector/Python 2.1.1 took a while to release and that was because we had to add some more packages which contains the optional C Extension. Note that this is still Alpha and we want you guys to report any problems and requests.

The Connector/Python C Extension was added because in certain situations, for example reading a huge result set, can take a long time with pure Python. That’s why we choose to interface with Connector/C (libmysqlclient).

Note: Pure Python is still default and it will be kept that way!

Installing Connector/Python 2.1 didn’t change much:

shell> python setup.py install

If you’d like …

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Connector/Python 2.1.1 Alpha released with C Extension

MySQL Connector/Python 2.1.1 took a while to release and that was because we had to add some more packages which contains the optional C Extension. Note that this is still Alpha and we want you guys to report any problems and requests.

The Connector/Python C Extension was added because in certain situations, for example reading a huge result set, can take a long time with pure Python. That’s why we choose to interface with Connector/C (libmysqlclient).

Note: Pure Python is still default and it will be kept that way!

Installing Connector/Python 2.1 didn’t change much:

$ sudo python setup.py install

If …

[Read more]
Connector/Python 2.1.1 Alpha released with C Extension

MySQL Connector/Python 2.1.1 took a while to release and that was because we had to add some more packages which contains the optional C Extension. Note that this is still Alpha and we want you guys to report any problems and requests.

The Connector/Python C Extension was added because in certain situations, for example reading a huge result set, can take a long time with pure Python. That’s why we choose to interface with Connector/C (libmysqlclient).

Note: Pure Python is still default and it will be kept that way!

Installing Connector/Python 2.1 didn’t change much:

sh $ sudo python setup.py install

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Worrying about the ‘InnoDB: detected cycle in LRU for buffer pool (…)’ message?

If you use Percona Server 5.5 and you have configured it to use multiple buffer pool instances than sooner or later you’ll see the following lines on the server’s error log and chances are you’ll be worried about them:

InnoDB: detected cycle in LRU for buffer pool 5, skipping to next buffer pool.
InnoDB: detected cycle in LRU for buffer pool 3, skipping to next buffer pool.
InnoDB: detected cycle in LRU for buffer pool 7, skipping to next buffer pool.

Worry not as this is mostly harmless. It’s becoming a February tradition for me (Fernando) to face a question about this subject (ok, it’s maybe a coincidence) and this time I’ve teamed up with my dear colleague and software engineer George Lorch to provide you the most complete blog post ever published on this topic(with a belated thank you! to Ernie Souhrada, with whom I’ve also discussed this same …

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See Connection Latency with VividCortex

Recently, one of our customers reached out to us about a problem they were having trouble diagnosing - they noticed that every once in a while, it took their MySQL server a few seconds to initialize a client connection. They had figured out that the issue was a missing hosts entry for one of their clients, but VividCortex didn’t have any measurements to show this issue to them.

We always enjoy getting customer feedback, and in this case we saw a clear need for something that VividCortex was missing. To address this shortcoming, we’ve recently added the ability to see the connection latency for newly established connections against your MySQL server!

Connection latency can be a real problem for MySQL; there are plenty of documented cases of server configurations causing serious performance issues for users (see here for …

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