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Previous 30 Newer Entries Showing entries 91 to 120 of 259 Next 30 Older Entries

Displaying posts with tag: Python (reset)

Quadrant Framework – rev7 update adds DyGraphs support
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Quick update to the framework that was released yesterday; I’ve added automatic graph generation. I chose DyGraphs due to the quick ability to enable support – the HTML is very quick and simply loads the CSV data. It has the same zooming features of Highcharts without the JS overhead.

Now when you run a load test you will get (in the output directory) a mixture of files: the main cumulative CSV and HTML file for the hostname that was tested, and then one CSV and HTML per report variable that was tested. This means you don’t have to drag the main CSV file into an alternate program or spend time parsing out certain variables one at a time to generate specific graphs.  I’ve also added support for limiting output of SNMP variables (LOAD,CPU,MEM). Head over here and download the update: 

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MySQL Load Testing Framework – initial release
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It seems that everyone loves load testing these days. Problem is that everyone is using their own quick scripts, simple or complex, to drive their tests without the ability for other DBAs to duplicate those tests. Let’s say I write a great test and share my results and graphs on the blog – you want to run the same tests to see how your new DB servers compare in performance: this framework allows you to do that without duplicating any work or writing code. This is a basic release that will get the ball rolling. I’ve included some sample tests in the README file, so give them a try.

This codebase offers a user friendly framework for creating and visualizing MySQL database load test jobs. It is based around Sysbench, which is generally considered the industry standard load test application. The framework allows you to do the following:

    standardize your tests
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MySQL Community – what do you want in a load testing framework?
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So I’ve been doing a fair number of automated load tests these past six months. Primarily with Sysbench, which is a fine, fine tool. First I started using some simple bash based loop controls to automate my overnight testing, but as usually happens with shell scripts they grew unwieldy and I rewrote them in python. Now I have some flexible and easily configurable code for sysbench based MySQL benchmarking to offer the community. I’ve always been a fan of giving back to such a helpful group of people – you’ll never hear me complain about “my time isn’t free”. So, let me know what you want in an ideal testing environment (from a load testing framework automation standpoint) and I’ll integrate it into my existing framework and then release it via the BSD license. The main goal here is to have a standardized modular framework, based on sysbench,

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Another Attempt At Python
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I tried Python out a while ago, but stopped trying it to learn it after some major frustrations. Maybe I didn’t dig deep enough into it. I found the documentation hard to read, and the module layout seemed a little random at times. For some reason I found executing an external process and getting the results to be a little convoluted. (Since then I’ve learned to use popen(..).communicate())

I ended up messing with other languages to try to find one that suits my tastes, like Erlang and

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Refactored: Poor man’s MySQL replication monitoring
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This is a reply to the blog post Poor man’s MySQL replication monitoring. Haidong Ji had a few problems using MySQLdb (could use the ‘dict’ cursor) and apparently he doesn’t want to much dependencies. I agree that using the mysql client tool is a nice alternative if you don’t want to use any 3rd party Python modules. And the MySQL client tools are usually and should be installed with the server.

However, since MySQL Connector/Python only needs itself and Python, dependencies are reduced to a minimum.

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Poor man’s MySQL replication monitoring
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Using MySQL replication slave(s) for reporting (with potentially different storage engines) is a very popular way of scaling database read activities. As usual, you want to be on top of things when replication breaks so end users can be notified and issues addressed. When Nagios, Zabbix, or whatever monitoring tools are not available or otherwise not accessible, there got to be another way. I wrote the following Python script for that purpose. The script can then be scheduled via crontab to check replication status in an interval you define. When things break, you get a notification email.

1. I toyed with MySQLdb Python module for this task, but I don’t like the fact that I cannot easily retrieve values via column names in a MySQLdb cursor. If there is an easier way that I am not aware of due to my ignorance, I’d appreciate it if you could

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Install MySQLdb module for Python
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Commenter MarkR made a great point: if possible, use some packaging tools, to try to maintain proper dependencies, to the extent that is possible. Install from the source should be Plan B. So, try yum install MySQL-python first.

This is mostly for my own future reference. It’ll be icing on the cake if it helps you!

This is geared for CentOS or Red Hat. Use apt-get or other packaging tools for different flavours of Linux.

1. Get Python module setuptools called easy_install. I love easy_install, by the way, sort of like CPAN for Perl modules;
2. To install MySQLdb package, you would think easy_install MySQLdb would do. But that is not the case. I hope the developer would fix that. Instead, you need:

easy_install MySQL-python

3. If you have build errors, you may

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Tech Messages | 2011-03-07
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A special extended edition of Tech Messages for 2011-02-10 through 2011-03-07:

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Win a free book at the February Python Book Contest
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This month is a special month. It’s not because of Valentines day or even the exciting day where we see groundhogs. No, this month is special because I’m have a book contest where you, the reader, get to win something free for doing absolutely nothing more than posting a comment saying that you want one of the several books I have available in the contest.

So without getting into boring details I’ll keep this short. I’ve been reviewing a lot of books lately and I think it’s time to get some books into people’s hands to enjoy themselves. This month the giveaways are all Python oriented.

So, all you have to do is take a look at the following titles and post a comment here saying that you want one of them. At the end of the month two readers will be chosen via a random list sorting python script I’ve whipped up for just this purpose. You

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Python for Automation: using pdsh for a menu-driven command execution environment
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I’ve been playing around with some quick system automation scripts that are handy to use when you don’t want / need to setup a chef or puppet action. I like to keep all of my hostnames and login details in a MySQL database (a cmdb actually) but for this example we’ll just use a couple of nested lists. This script executes commands in parallel across the hosts you choose in the menu system via the “pdsh” command, so make sure you have that installed before running. Alternately you can change the command call to use ssh instead of pdsh for a serialized execution, but that’s not as fun or fast. With some customizations here and there you can expand this to operate parallelized jobs for simplifying daily work in database administration, usage reporting, log file parsing, or other system automation as you see fit. Here’s the code. Comments welcome as

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Review: MySQL for Python by Albert Lukaszewski
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Packt Publishing recently sent me a copy of MySQL for Python to review and after reading through the book I must say that I’m rather impressed at the variety of topics that the book covers.

It starts off with the basics of setting up MySQL for your testing/development needs by going over several of the common installation and configuration methods. After that it’s a quick intro for connection methods and simple error reporting for connections. The author gives a quick intro to CRUD and how it relates to databases and python before heading into the common tasks of simple queries. I was surprised to see some database profiling discussion; which is rather handy for a new coder or a

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Simple Python: a job queue with threading
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Every so often you need to use a queue to manage operations in an application. Python makes this very simple. Python also, as I’ve written about before, makes threading very easy to work with. So in this quick program I’ll describe via comments, how to make a simple queue where each job is processed by a thread. Integrating this code to read jobs from a mysql database would be trivial as well; simply replace the “jobs = [..." code with a database call to a row select query.

#!/usr/bin/env python
## DATE: 2011-01-20
## FILE: queue.py
## AUTHOR: Matt Reid
## WEBSITE: http://themattreid.com
from Queue import *
from threading import Thread, Lock

'''this function will process the items in the queue, in serial'''
def processor():
    if queue.empty() == True:
        print "the Queue is empty!"
        job = queue.get()
        print "I'm
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MySQL Connector/Python v0.3.2-devel released
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MySQL Connector/Python 0.3.2, a development release, is available for download:

Disclaimer: Since version 0.3 is still a development release, or ‘alpha’, it is not
recommended to run this in production.

MySQL Connector/Python 0.3.2-devel is a maintenance release fixing following bugs:

  • lp:701081 -Doesn’t install with Python 2.4

About MySQL Connector/Python: MySQL Connector/Python is implementing the
MySQL Client/Server protocol completely in Python. No MySQL libraries
are needed, and no compilation is necessary to run this Python DB API v2.0

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MySQL Connector/Python v0.3.1-devel released
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MySQL Connector/Python 0.3.1, a development release, is available for download:

Disclaimer: Since version 0.3.1 is still a development release, or ‘alpha’, it is not
recommended to run this in production.

MySQL Connector/Python 0.3.1-devel is a maintenance release fixing following bugs:

  • lp:695514 – Infinite recursion when setting connection client_flags
  • lp:691836 – Incorrect substitution by cursor.execute when tuple args contains ‘%s’

About MySQL Connector/Python: MySQL

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Setting client flags with MySQL Connector/Python
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Setting client flags with MySQL Connector/Python works a bit differently than the other MySQL Python drivers. This blog post describes how to set and unset flags, like the CLIENT_FOUND_ROWS.

The default client flags for the MySQL Client/Server protocol can be retrieved using the constants.ClientFlag class:

>>> from mysql.connector.constants import ClientFlag
>>> defaults = ClientFlag.get_default()
>>> print ClientFlag.get_bit_info(defaults)

To set an extra flag when connecting to MySQL you use the client_flags argument of connect()-method. For example, you’d

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MySQL v5.5 and Python
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MySQL (http://www.mysql.com) v5.5 is GA, but is it working with Python? Yes, it does. Below you’ll find some quick, small tests I did with MySQLdb, oursql and our own MySQL Connector/Python.

My desktop is a Mac, but when it works on that, I’m sure it works elsewhere too. If not, just let us know!

MySQL for Python (aka MySQLdb)

Installing MySQL v5.5.8 64-bit from tar ball on MacOS X 10.6, it compiled fine and the module loaded giving me the expected result:

>>> import MySQLdb
>>> cnx =
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oak-hook-general-log: your poor man’s Query Analyzer
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The latest release of openark kit introduces oak-hook-general-log, a handy tool which allows for some analysis of executing queries.

Initially I just intended for the tool to be able to dump the general log to standard output, from any machine capable to connect to MySQL. Quick enough, I realized the power it brings.

With this tool, one can dump to standard output all queries using temporary tables; or using a specific index; or doing a full index scan; or just follow up on connections; or… For example, the following execution will only log queries which make for filesort:

oak-hook-general-log --user=root --host=localhost --password=123456
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openark-kit (rev. 170): new tools, new functionality
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I’m pleased to announce a new release of the openark kit. There’s a lot of new functionality inside; following is a brief overview.

The openark kit is a set of utilities for MySQL. They solve everyday maintenance tasks, which may be complicated or time consuming to work by hand.

It’s been a while since the last announced release. Most of my attention was on mycheckpoint, building new features, writing documentation etc. However my own use of openark kit has only increased in the past few months, and there’s new useful solutions to common problems that have been developed.

I’ve used and improved many tools over this time, but doing the final cut, along with proper documentation, took

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MySQL Connector/Python 0.3.0 has been released!
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MySQL Connector/Python 0.3.0, a development release, is available for download:

Since version 0.3.0 is still a development release, or ‘alpha’, it is not
recommended to run this in production.

MySQL Connector/Python 0.3.0 adds following features:

  • Python v2.4 support is back.
  • Support for compressed protocol.
  • Support for SSL connections (when Python’s ssl module is available).
  • Support for packets which are bigger than 16MB.
  • Max allowed packetsize defaults to 1GB.
  • Some performance improvements.

See the ChangeLog for extra details.

Please report bugs and comments

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Query caching with MySQL Connector/Python
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This blog post shows how to create a cursor class for MySQL Connector/Python which will allow you to cache queries. It will hold the query itself and the result in a global variable.

Note: this is a proof of concept and is only meant as a demonstration on how to extend MySQL Connector/Python.

Why query caching?

You are doing lots of queries that have the same result. It would be expensive to always run the same exact query. MySQL has already a query cache, and there is also memcached. But you like MySQL Connector/Python so much you’d like to do it yourself.

A cursor caching queries and their result

To demonstrate a simple implementation of a query cache, we inherit from an existing

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Buffering results with MySQL Connector/Python
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MySQL Connector/Python doesn’t buffer results by default. This means you have to fetch the rows when you issued a SELECT. This post describes how you can change this behavior.

Why buffering result sets?

Buffering or storing the result set on the client side is handy when you, for example, would like to use multiple cursors per connection and you’de like to traverse each one interleaved.

Keep in mind that with bigger result sets, the client side will use more memory. You just need to find out for yourself what’s best. When you know result sets are mostly small, you might opt to buffer.

MySQLdb by default buffers results and you need to use a different cursor to disable it. oursql does not buffer by default. This is good to know

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mycheckpoint (rev 208): aggregation tables, enhanced charting, RPM distribution
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Revision 208 of mycheckpoint, a MySQL monitoring solution, has been released. New and updated in this revision:

  • Aggregation tables: aggregated data makes for fast reports on previously slow queries.
  • Enhanced charting: interactive charts now present time stamps dynamically (see demo); “Zoom in” charts are available (see demo) on mycheckpoint‘s HTTP server.
  • RPM distribution: a “noarch” RPM
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A simple load test script in Python
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Lately I’ve had to do some environment load testing so I wrote this quick script. It can be modified as needed but the basic idea is that it spawns $x threads (–threads) and then sends two connections (or however many you want with –per-connection=) per thread to the URL (–url=). You can have it wait a configurable time between connections as well (–wait=).

The url is appended with a 32 character randomized string so that any database/caching on the backend of the site isn’t serving data from a warm cache. You can hunt down the string length for 32 and change it to whatever you want. Feel free to change and use as needed, just keep my info at top.

## DATE: 2010-10-26
## AUTHOR: Matt Reid
## MAIL: mreid@kontrollsoft.com
## SITE:
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Fetching rows as dictionaries with MySQL Connector/Python
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This post describes how to make a custom cursor returning rows as dictionaries using MySQL Connctor/Python v0.2 (or later).

Problem: you want to fetch rows from the database and return them as a dictionary with keys being the column names.

First, lets check how you would do it without any custom cursor.

cnx = mysql.connector.connect(host='localhost',database='test')
cur = cnx.cursor()
cur.execute("SELECT c1, c2 FROM t1")
result = []
columns = tuple( [d[0].decode('utf8') for d in cur.description] )
for row in cur:
  result.append(dict(zip(columns, row)))

The above results in an output like this:

[python light="true"]
[{u'c1': datetime.datetime(2010, 10, 13, 8, 55, 35), u'c2': u'ham'},
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MySQL Connector/Python 0.2-devel available
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Next development release v0.2.0 of MySQL Connector/Python is available for download and testing. We still don’t recommend to use it in production: it is not beta or GA yet, but we are getting there.

Bug reports and feature requests are welcome through the Launchpad bug tracking tool.


  • .executemany() now optimizes INSERT statements using the MySQL
    multiple row syntax.
  • Setting sql_mode and time_zone when connecting as well as collation.
  • Raw Cursors can be used when you want to do the conversion yourself.
  • Unittests now bootstrap own MySQL server instance.
  • Tidying the source tree.

Full list of changes and bug fixes can be found

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Thoughts and ideas for Online Schema Change
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Here’s a few thoughts on current status and further possibilities for Facebook’s Online Schema Change (OSC) tool. I’ve had these thoughts for months now, pondering over improving oak-online-alter-table but haven’t got around to implement them nor even write them down. Better late than never.

The tool has some limitations. Some cannot be lifted, some could. Quoting from the announcement and looking at the code, I add a few comments. I conclude with a general opinion on the tool’s abilities.

“The original table must have PK. Otherwise an error is returned.”

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MySQL Workbench Plugin: mforms example and slow query log statistics
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As an update to my prior post, I’ve added a form to the workbench plugin.  Now, the user can select a slow query log file and generate statistics from it.  The plugin provides information to answer the following questions:

Figure 1. Sample plugin form

  • What type of queries run most often?
  • What type of queries are the slowest?
  • Which queries access the most rows?
  • Which queries send the most data?

The plugin scans the slow query log, aggregates

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dbbenchmark.com – default Thread quantity now self determined
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There’s a new version of the dbbenchmark tool available. Now we’re creating the MySQL connection pool thread count based on automatic reporting of core quantity. There is still the same method to set the thread count manually if you are interested in finding your system’s thread limits. Download the MySQL benchmarking script now and add your server performance to the community database of results!

Having fun with MySQL and Python: converting MySQL character set to utf8
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Lately I worked quite a bit with Python and Linux, writing monitoring and automation utilities. I am in a transition period, so I thought I ought to write some Python stuff interfacing with MySQL for fun, and start positioning myself for expanded career horizon, I hope.

To get started, I thought it would be fun to rewrite a Perl utility I wrote before with Python. That script converts MySQL character sets to utf8, a very common task for wikis and blogs during an upgrade. This time, I did everything from scratch: firing up an Amazon EC2 Linux instance, hand install and configuring MySQL 5.1.50 (creating mysql user, group, wget tarball, setting directory ownership and permissions, creating symbolic to MySQL binaries, editing my.cnf,

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MySQL Workbench Plugin: Slow Query Log Statistics
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This is my first attempt at creating a plugin for MySQL Workbench.  As a first step, I’ve created a plugin that summarizes the slow query log if it’s output to the slow_log table, which is an option available in MySQL version 5.1 or newer.  It’s similar to the mysqldumpslow perl script, except that it doesn’t require perl, which should be more convenient on Windows.  In my next update, the plugin will provide the same summary statistics for the slow query log file on disk.

While the slow query log reports query time, lock time, rows sent and rows examined for each query; it’s often useful to group and aggregate similar queries for analysis.  For example, here’s a sample of the plugin output, which is sorted by count, after just a few clicks on a drupal6 site:

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Previous 30 Newer Entries Showing entries 91 to 120 of 259 Next 30 Older Entries

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