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Displaying posts with tag: star schema (reset)
TokuDB vs Percona XtraDB using Tokutek’s MariaDB distribution

Following are benchmark results comparing Tokutek TokuDB and Percona XtraDB at scale factor 10 on the Star Schema benchmark. I’m posting this on the Shard-Query blog because I am going to compare the performance of Shard-Query on the benchmark on these two engines. First, however, I think it is important to see how they perform in isolation without concurrency.

Because I am going to be testing Shard-Query, I have chosen to partition the “fact” table (lineorder) by month. I’ve attached the full DDL at the end of the post as well as the queries again for reference.

I want to note a few things about the results:
First and foremost, TokuDB was configured to use quicklz compression (the default) and InnoDB compression was not used. No tuning of TokuDB was performed, which means it will use up to 50% of memory by default. Various InnoDB tuning options were set (see the end of the post) but the most important is that the …

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MySQL and the SSB – Part 2 – MyISAM vs InnoDB low concurrency

This blog post is part two in what is now a continuing series on the Star Schema Benchmark.

In my previous blog post I compared MySQL 5.5.30 to MySQL 5.6.10, both with default settings using only the InnoDB storage engine.  In my testing I discovered that innodb_old_blocks_time had an effect on performance of the benchmark.  There was some discussion in the comments and I promised to follow up with more SSB tests at a later date.

I also promised more low concurrency SSB tests when Peter blogged about the importance of performance at low concurrency.

The SSB tests a database’s ability to optimize queries for a star schema. A star …

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Data Warehousing Best Practices: Comparing Oracle to MySQL pt 1

At Kscope this year, I attended a half day in-depth session entitled Data Warehousing Performance Best Practices, given by Maria Colgan of Oracle. My impression, which was confirmed by folks in the Oracle world, is that she knows her way around the Oracle optimizer.

These are my notes from the session, which include comparisons of how Oracle works (which Maria gave) and how MySQL works (which I researched to figure out the difference, which is why this blog post took a month after the conference to write). Note that I am not an expert on data warehousing in either Oracle or MySQL, so these are more concepts to think about than hard-and-fast advice. In some places, I still have questions, and I am happy to have folks comment and contribute what they know.

One interesting point brought up:
Maria quoted someone (she said the name but I did not grab it) from …

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Showing entries 1 to 3