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TokuMX 2.0 preview and bug hunt

Posted On September 22, 2014 | By Tim Callaghan | 6 comments

TokuMX 2.0 is coming at the end of this month, and it’s going to be the most innovative release of TokuMX since our first release last June.  Version 2.0 represents the realization of many of our engineering aspirations from when we started the TokuMX project, and we’re all eager to…

Announcing TokuDB v7.5: Read Free Replication

Posted On September 18, 2014 | By Tim Callaghan | 1 comments

Today we released TokuDB® v7.5, the latest version of Tokutek's storage engine for MySQL and MariaDB. I'll be publishing two blogs next week to go into more details about our new "Read Free Replication", but here are high level descriptions of the most important new features. Read Free ReplicationTokuDB replication…

Explaining Ark Part 4: Fixing Majority Write Concern

Posted On August 7, 2014 | By Zardosht Kasheff | 0 comments

This is the fourth post in a series of posts that explains Ark, a consensus algorithm we’ve developed for TokuMX and MongoDB to fix known issues in elections and failover. The tech report we released describes the algorithm in full detail. These posts are a layman’s explanation. This post assumes…

An Updated Description of Clustering Keys for TokuDB

Posted On August 6, 2014 | By Rich Prohaska | 0 comments

Covering indexes can result in orders of magnitude performance improvements for queries. Bradley's presentation on covering indexes describes what a covering index is, how it can effect performance, and why it works. However, the definition of a covering index can get cumbersome since MySQL limits the number of columns in a…

New TokuMX Meetup Groups Formed

Posted On August 1, 2014 | By Dave Rosenlund | 0 comments

Tokutek is pleased to announce the formation of two new TokuMX Bay Area Meetup Groups, as well as each group's inaugural meet up event. These groups are for anyone who's interested in delivering high-performance big data applications built with the world's most popular NoSQL solution, MongoDB. Join Tokutek team members,…

Explaining Ark Part 3: Why Data May Be Lost on a Failover

Posted On July 30, 2014 | By Zardosht Kasheff | 0 comments

This is the third post in a series of posts that explains Ark, a consensus algorithm we’ve developed for TokuMX and MongoDB to fix known issues in elections and failover. The tech report we released last week describes the algorithm in full detail. These posts are a layman’s explanation. In…

Explaining Ark Part 2: How Elections and Failover Currently Work

Posted On July 25, 2014 | By Zardosht Kasheff | 0 comments

This is the second post in a series of posts that explains Ark, a consensus algorithm we’ve developed for TokuMX and MongoDB to fix known issues in elections and failover. The tech report we released last week describes the algorithm in full detail. These posts are a layman’s explanation. In…

Explaining Ark Part 1: The Basics

Posted On July 22, 2014 | By Zardosht Kasheff | 0 comments

Last week, we introduced Ark, a consensus algorithm similar to Raft and Paxos we’ve developed for TokuMX and MongoDB. The purpose of Ark is to fix known issues in elections and failover. While the tech report detailing Ark explains everything formally, over the next few blog posts, I will go…

Introducing Ark: A Consensus Algorithm For TokuMX and MongoDB

Posted On July 18, 2014 | By Zardosht Kasheff | 4 comments

Most of the time, our blog posts explain what’s great about the MongoDB improvements we've already shipped in TokuMX. Sometimes, though, it’s fun to talk about what’s coming soon, especially when user feedback would really help get the feature right. In my next series of blog posts, I get to…

Why a Partitioned Collection Cannot Be Sharded

Posted On June 27, 2014 | By Zardosht Kasheff | 0 comments

In TokuMX 1.5, we introduced partitioned collections for non-sharded clusters. That is, one can have a partitioned collection in a replica set, but one cannot shard a partitioned collection. In this post, I explain why. As I mentioned here, partitioned collections are useful for time-series data where we would like…