Tag - TokuMX

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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Storing time-series data with MongoDB and TokuMX

Storing time-series data is a frequent pattern for databases – be it for logs or for any kind of monitoring. Such data has the following properties: records are inserted but also never updated, the insertion rate can be high and records are likely to expire after some time. MongoDB and TokuMX are both good […]

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MongoDB / TokuMX plugin for LinkBench (Part 1)

“There’s no benchmark for how life’s “supposed” to happen. There is no ideal world for you to wait around for. The world is always just what it is now, it’s up to you how you respond to it.”
― Isaac Marion, Warm Bodies
At one time or another, most of us have heard some version of […]

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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:

Shell

mongod –storageEngine=tokuft

1

mongod –storageEngine=tokuft

I am looking for your feedback!

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Peter Zaitsev hits the road for East Coast MySQL Meetup tour

Percona CEO Peter Zaitsev and Big Data guru Alexander Rubin will be speaking at Meetups along the East Coast next week with stops in Boston (May 11), New York City (May 12), Philadelphia (May 13) and Baltimore (May 14).
Dubbed the “MySQL Whistle-Stop Tour” since they’ll be traveling city to city via Amtrak, Peter will […]

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MongoDB’s flexible schema: How to fix write amplification

Being schemaless is one of the key features of MongoDB. On the bright side this allows developers to easily modify the schema of their collections without waiting for the database to be ready to accept a new schema. However schemaless is not free and one of the drawbacks is write amplification. Let’s focus on […]

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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 […]

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