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Displaying posts with tag: benchmark (reset)

Quick benchmarking trick
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I have been doing quite a lot of benchmarking recently.
I needed to find a safe way of measuring the time spend by the database doing a long task, like catching up on a huge backlog of accumulated replication updates. The problem with measuring this event is that I can record when it starts, but I can't easily detect when it finishes. My initial approach was to monitor the database and count the tables rows to see when the task was done, but I ended up affecting the task performance with my additional queries. So I thought of another method.
Since I had control on what was sent from the master to the slave, I used the following:
The initial …


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Benchmarking ORM tools and Object Databases.
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“I believe that one should benchmark before making any technology decisions.” An interview with Pieter van Zyl creator of the OO7J benchmark. In August last year, I published an interesting resource in ODBMS.ORG, the dissertation of Pieter van Zyl, from the University of Pretoria:“Performance investigation into selected object persistence stores”. The dissertation presented the OO7J [...]

MySQL Cluster Database 7: Performance Benchmark
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(Note that this is a copy of the original article from Hasham Pathan posted on 21st April 2009).

Summary of Results:

We recently conducted a Performance Benchmark of the newly released version of MySQL Cluster database software version 7.0 using the DBT2 Benchmark. The results are very impressive.

Highlight of the results:

  • For 4 Node Cluster, we achieved 251,000 Transactions per minute which is more than 4X improvement over the MySQL Cluster 6.3 release.
  • For 2 Node Cluster, we achieved …
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Sample datasets for benchmarking and testing
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Sometimes you just need some data to test and stress things. But randomly generated data is awful — it doesn’t have realistic distributions, and it isn’t easy to understand whether your results are meaningful and correct. Real or quasi-real data is best. Whether you’re looking for a couple of megabytes or many terabytes, the following sources of data might help you benchmark and test under more realistic conditions.

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Segmented key cache performance results for MariaDB 5.2.2-gamma
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Recently I tested our new segmented key cache feature for MyISAM in MariaDB 5.2.2-gamma for performance gains. You can check our new features in MariaDB 5.2 in our Ask Monty Knowledge Base

You will also find the details about the segmented key cache feature in our Knowledge Base at:

We wrote a test in LUA for …

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Database speed tests (mysql and postgresql) - part 3 - code
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Here is the code structure

dbfuncs.php : is the file which contains classes and functions for firing queries on mysql and pgsql mysqlinsert.php : creates and fires inserts on mysql mysqlselect.php : creates and fires selects on mysql pgsqlinsert.php : creates and fires inserts on pgsql pgsqlselect.php : creates and fires selects on pgsql benchmark.php : script used to control concurrency and

Database speed tests (mysql and postgresql) - part 2
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Here is the comparison between mysql and postgresql for selects (only). I had used the same table that i had created earlier http://jayant7k.blogspot.com/2010/09/database-speed-tests-mysql-and.html while comparing insertion speed. I have created approximately 1,000,000 records in the table and ran selects on them. I also modified the configuration of both mysql and postgresql to enable faster

Database speed tests (mysql and postgresql) - part 1
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There has been major changes in mysql and postgres over a couple of years. Mysql has been focusing on improving and optimizing innodb. Postgres on the other hand has been focusing on database replication and hot standby.

Recently postgres came out with version 9.0 which has built-in replication and hot standby - the two most requested feature in postgresql. Earlier people used to shy away from

dbbenchmark.com – configuring OpenBSD for MySQL benchmarking
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Here are some quick commands for installing the proper packages and requirements for the MySQL dbbenchmark program.

export PKG_PATH="ftp://openbsd.mirrors.tds.net/pub/OpenBSD/4.7/packages/amd64/"
pkg_add -i -v wget
wget http://dbbenchmark.googlecode.com/files/dbbenchmark-version-0.1.beta_rev26.tar.gz
pkg_add -i -v python
Ambiguous: choose package for python
 a       0: 
         1: python-2.4.6p2
         2: python-2.5.4p3
         3: python-2.6.3p1
Your choice: 2

pkg_add -i -v py-mysql
pkg_add -i -v mysql
pkg_add -i -v mysql-server
ln -s /usr/local/bin/python2.5 /usr/bin/python
gzip -d dbbenchmark-version-0.1.beta_rev26.tar.gz …
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Determining I/O Throughput for a System
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At Kscope this year, I attended a half day in-depth session entitled Data Warehousing Performance Best Practices, given by Maria Colgan of Oracle. In that session, there was a section on how to determine I/O throughput for a system, because in data warehousing I/O per second (iops) is less important than I/O throughput (how much actual data goes through, not just how many reads/writes).

The section contained an …

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