Tag - TokuMX

Migrate from TokuMX to Percona Server for MongoDB

Percona no longer develops or supports TokuMX software. The product has been EoL’d. We recommend TokuMX users migrate to Percona Server for MongoDB.
This blog post details how to migrate from TokuMX to Percona Server for MongoDB.
As part of our ongoing plans to embrace the MongoDB community, we have increased support and software around MongoDB. Percona’s […]

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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 and 8GiB […]

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Percona now offering 24/7 support for MongoDB and TokuMX

Today Percona announced the immediate availability of 24/7, enterprise-class support for MongoDB and TokuMX. The new support service helps organizations achieve maximum application performance without database bloat. Customers have round-the-clock access (365 days a year) to the most trusted team of database experts in the open source community.
The news means that Percona now offers […]

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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 highlight […]

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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 […]

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