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Search Results for: using where

Tracking 5.3 Billion Mutations: Using MySQL for Genomic Big Data

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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 …

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Using Percona Server in Production at Percona Live London

Have you been using Percona Server ? Interested to Try ? Using Percona Server in Production Tutorial at Percona Live, London is a great talk for you. In my experience working with customers I discovered …

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Using pt-table-checksum with Percona XtraDB Cluster

As of Percona Toolkit v2.1.5, pt-table-checksum works correctly with Percona XtraDB Cluster, but it doesn’t work quite like a traditional replication setup because cluster nodes are not like traditional replicas.  In this post I demonstrate …

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Using innodb_sys_tables and innodb_sys_indexes

I was playing with Percona Server today and found fast_index_creation does not work quite exactly like described in the manual. The point I’m looking to make though it would be very hard to catch this …

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Webinar “How to Turbocharge Your MySQL Performance Using Flash Storage”

Next Wednesday, March-21, 11:00am Pacific Time, Baron and me will be co-presenting with Virident webinar: “How to Turbocharge Your MySQL Performance Using Flash Storage” (From Virident side: Shridar Subramanian and Shirish Jamthe).

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Percona Replication Manager, a solution for MySQL high availability with replication using Pacemaker

The content of this article is outdated, look here for more up to date information. Over the last year, the frustration of many of us at Percona regarding issues with MMM has grown to a …

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Using MySQL as a Queue, and Free Percona Live Tickets

This week’s TGIF give-away contest is a day early, and it’s a guest post over on the Engine Yard blog: 5 subtle ways you’re using MySQL as a queue, and why it’ll bite you. Go …

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Using any general purpose computer as a special purpose SIMD computer

Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very …

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Flexviews – part 3 – improving query performance using materialized views

Combating “data drift” In my first post in this series, I described materialized views (MVs). An MV is essentially a cached result set at one point in time. The contents of the MV will become …

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Using Flexviews – part two, change data capture

In my previous post I introduced materialized view concepts. This post begins with an introduction to change data capture technology and describes some of the ways in which it can be leveraged for your benefit. …

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