InnoDB vs TokuDB in LinkBench benchmark

Previously I tested Tokutek’s Fractal Trees (TokuMX & TokuMXse) as MongoDB storage engines – today let’s look into the MySQL area. I am going to use modified LinkBench in a heavy IO-load. I compared InnoDB without compression, InnoDB with 8k compression, TokuDB with quicklz compression. Uncompressed datasize is 115GiB, and cachesize is 12GiB for InnoDB […]

Fractal Tree library as a Key-Value store

As you may know, Tokutek is now part of Percona and I would like to explain some internals of TokuDB and TokuMX – what performance benefits they bring, along with further optimizations we are working on. However, before going into deep details, I feel it is needed to explain the fundamentals of Key-Value store, and […]

MongoDB benchmark: sysbench-mongodb IO-bound workload comparison

In this post I’ll share the results of a sysbench-mongodb benchmark I performed on my server. I compared MMAP, WiredTiger, RocksDB and TokuMXse (based on MongoDB 3.0) and TokuMX (based on MongoDB 2.4) in an IO-intensive workload. The full results are available here, and below I’ll just share the summary chart: I would like to […]

Using Cgroups to Limit MySQL and MongoDB memory usage

Quite often, especially for benchmarks, I am trying to limit available memory for a database server (usually for MySQL, but recently for MongoDB also). This is usually needed to test database performance in scenarios with different memory limits. I have physical servers with the usually high amount of memory (128GB or more), but I am […]

MongoDB with Percona TokuMXse – experimental build RC5 is available!

While our engineering team is working on finalizing the TokuMXse storage engine, I want to provide an experimental build that you can try and test MongoDB 3.0 with our storage engine. It is available here percona.com/downloads/TESTING/Percona-TokuMXse-rc5/percona-tokumxse-3.0.3pre-rc5.tar.gz To start MongoDB with TokuMXse storage engine use:

I am looking for your feedback!

LinkBenchX: benchmark based on arrival request rate

An idea for a benchmark based on the “arrival request” rate that I wrote about in a post headlined “Introducing new type of benchmark” back in 2012 was implemented in Sysbench. However, Sysbench provides only a simple workload, so to be able to compare InnoDB with TokuDB, and later MongoDB with Percona TokuMX, I wanted […]

Reference architecture for a write-intensive MySQL deployment

We designed Percona Cloud Tools (both hardware and software setup) to handle a very high-intensive MySQL write workload. For example, we already observe inserts of 1bln+ datapoints per day. So I wanted to share what kind of hardware we use to achieve this result. Let me describe what we use, and later I will explain […]

TokuDB gotchas: slow INFORMATION_SCHEMA TABLES

We are using Percona Server + TokuDB engine extensively in Percona Cloud Tools and getting real usage operational experience with this engine. So I want to share some findings we came across, in hope it may help someone in their work with TokuDB. So, one problem I faced is that SELECT * FROM INFORMATION_SCHEMA.TABLES is […]

“How to monitor MySQL performance” with Percona Cloud Tools: June 25 webinar

We recently¬†released a new version of Percona Cloud Tools with MySQL monitoring capabilities. Join me June 25 and learn the details about all of the great new features inside¬†Percona Cloud Tools – which is now free in beta. The webinar is titled “Monitoring All (Yes, All!) MySQL Metrics with Percona Cloud Tools” and begins at […]