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First TokuMXse performance numbers

UPDATE: Since the publication of this blog post, the first release candidate of TokuMXse was made available for testing. Learn more about v1.0.0.RC.0. In addition, MongoDB has decided to call the release formerly known as v2.8, v3.0. We’ve …

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Fast Updates : Coming Soon in TokuMX v2.0

Coming in TokuMX v2.0 is a feature we’re calling “Fast Updates”. Fast updates permit certain update operations to bypass the read-modify-write behavior that most databases require (including MongoDB and the current release of TokuMX). In …

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TokuDB v7.5 Read Free Replication : The Benchmark

New to TokuDB® v7.5 is a feature we’re calling “Read Free Replication” (RFR). RFR allows TokuDB replication slaves to process insert, update, and delete statements with almost no read IO. As a result, the slave …

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Announcing TokuMX v1.5

Tokutek is pleased to announce today’s release of TokuMX v1.5. Also worth noting is that TokuMX is exactly 1 year old tomorrow. But enough about birthdays, and more about features! This release brings with it …

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How to improve InnoDB performance by 55% for write-bound loads

During April’s Percona Live MySQL Conference and Expo 2014, I attended a talk on MySQL 5.7 performance an scalability given by Dimitri Kravtchuk, the Oracle MySQL benchmark specialist. He mentioned at some point that the …

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How to log slow queries on Slave in MySQL 5.0 with pt-query-digest

Working as a Percona Support Engineer, every day we are seeing lots of issues related to MySQL replication. One very common issue is slave lagging. There are many reasons for slave lag but one common reason …

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How to monitor ALTER TABLE progress in MySQL

While working on a recent support issue as a Percona Support Engineer,  I got one question from a customer asking how to monitor ALTER TABLE progress. Actually, for MySQL 5.5 and prior versions, it’s quite difficult to ALTER the …

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TokuMX vs. MongoDB : Sharding Balancer Performance

I have always believed that TokuMX’s Fractal Tree indexes are an ideal fit for MongoDB’s sharding model, especially when it comes time for balancing to occur. At a very high level, balancing is needed when …

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Percona Server: Improve Scalability with Percona Thread Pool

By default, for every client connection the MySQL server spawns a separate thread which will process all statements for this connection. This is the ‘one-thread-per-connection’ model. It’s simple and efficient until some number of connections …

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TokuMX vs. MongoDB : In-Memory Sysbench Performance

In talking to existing MongoDB users and TokuMX evaluators, I’ve often heard that the performance of MongoDB is very good as long as your working data set fits in RAM. The story continues that if …

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