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April 24 Webinar – MongoDB Clusters: Tips, Tricks, Manage and Automate

As you scale, one of the challenges is optimizing your clusters and mitigating operational risk. Proper preparation can result in significant savings and reduced downtime. Register Now! SPEAKER: Jon Tobin, Tokutek and Vinay Joosery, Severalnines …


ScaleArc: Benchmarking with sysbench

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and myself. You can also download the …


Comparing a TokuMX and MongoDB Oplog Entry

As I mentioned in my last post, TokuMX replication is completely incompatible with MongoDB replication. Replica sets (and sharded clusters, but that is for another blog) must be either entirely TokuMX or entirely MongoDB. This …


PERFORMANCE_SCHEMA vs Slow Query Log

A couple of weeks ago, shortly after Vadim wrote about Percona Cloud Tools and using Slow Query Log to capture the data, Mark Leith asked why don’t we just use Performance Schema instead? This is …


Useful MySQL 5.6 features you get for free in PXC 5.6

I get a lot of questions about Percona XtraDB Cluster 5.6 (PXC 5.6), specifically about whether such and such MySQL 5.6 Community Edition feature is in PXC 5.6.  The short answer is: yes, all features in …


Innotop: A real-time, advanced investigation tool for MySQL

GUI monitoring tools for MySQL are not always suitable for all our needs or situations. Most of them are designed to provide historical views into what happens to our database over time rather then real-time …


MySQL and Percona Server in LinkBench benchmark

Around month ago Facebook has announced the Linkbench benchmark that models the social graph OLTP workload. Sources, along with a very nice description of how to setup and run this benchmark, can be found here. …


Investigating MySQL Replication Latency in Percona XtraDB Cluster

I was curious to check how Percona XtraDB Cluster behaves when it comes to MySQL replication latency — or better yet, call it data propagation latency. It was interesting to see whenever I can get stale …


Tracking 5.3 Billion Mutations: Using MySQL for Genomic Big Data

University of Montreal Tracks Genomic Data With Tokutek’s TokuDB. Faster insertion rates, improved scalability and agility support lab’s fast growing research database as it grows from 100s of GBs to 1 TB and beyond. Issue …


Quickly finding unused indexes (and estimating their size)

I had a customer recently who needed to reduce their database size on disk quickly without a lot of messy schema redesign and application recoding.  They didn’t want to drop any actual data, and their …