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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 …

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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 …

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MySQL shell prompt vs MongoDB shell prompt

Recently Todd Farmer shared an interesting story about the mysql command line prompt in MySQL 5.7: how it was changed to provide more context and why the change was finally reverted. This made me think …

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Choosing a good sharding key in MongoDB (and MySQL)

MongoDB 3.0 was recently released. Instead of focusing on what’s new – that is so easy to find, let’s rather talk about something that has not changed a lot since the early MongoDB days. This topic …

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Improving Percona XtraDB Cluster SST startup with Google Compute Engine snapshots

As the need for information grows so does the size of data we need to keep in our databases. SST is unavoidable for spinning up new nodes in a PXC cluster and when datasets reach the …

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A Tokutek Take on MongoDB v3.0

On February 3rd MongoDB, Inc. formally announced MongoDB v3.0 (the product release formerly known as v2.8).  It includes a number of important enhancements, some of them of particular interest to users of the Tokutek distribution of MongoDB, …

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Faster fingerprints and Go packages for MySQL

I’m happy to announce Go packages for MySQL. Particularly exciting is a new query fingerprint function which is very fast and efficient, but I’ll talk about that later. First, go-mysql is currently three simple Go packages for parsing …

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The MongoDB Speed-up & Slim-down Big Data Challenge

Receive 20 FREE hours of MongoDB® consulting services if TokuMX does not improve your MongoDB application performance by at least 2x and/or reduce the size of your MongoDB database by 50% or more.  Like A Finely Tuned Rally Car …

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Django with time zone support and MySQL

This is yet another story of Django web-framework with time zone support and pain dealing with python datetimes and MySQL on the backend. In other words, offset-naive vs offset-aware datetimes. Shortly, more about the problem. …

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The MySQL Query Cache: How it works, plus workload impacts (good and bad)

Query caching is one of the prominent features in MySQL and a vital part of query optimization. It is important to know how it works as it has the potential to cause significant performance improvements – …

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