By Andrew Morgan | March 31, 2014
MySQL Fabric provides a simple way to manage a collection of MySQL Servers and ensure that transactions and queries are routed to the correct server. We're pleased to announce that the Release Candidate load is now available! This article explains what MySQL Fabric is and how to set it up. It also gives an example of how it can be used to introduce High Availability (including automated failure detection and transparent failover) and/or scale-out (using data partitioning/sharding).
By Andrew Morgan | June 18, 2013
The MySQL team at Oracle are excited to announce the immediate availability of the MySQL Cluster 7.3 Development Milestone Release GA release. Some might call MySQL Cluster 7.3 "the foreign keys release" - and sure enough it is a major engineering achievement to build a distributed database that enforces referential integrity across a shared-nothing cluster, while maintaining ACID compliance and cross-shard JOINs. But MySQL Cluster 7.3 is so much more as well. The design focus has been on enabling developer agility - making it simpler and faster than ever to enhance new services with a highly scalable, fault tolerant, real-time database - with minimum development or operational effort.
By Mikael Ronström | May 15, 2013
MySQL Thread Pool has now been updated for the MySQL 5.6 version. Obviously, with the much higher concurrency of the MySQL Server in 5.6 it's important that the thread pool doesn't add any new concurrency problem when scaling up to 60 CPU threads. The good news is that the thread pool works even better in MySQL 5.6 than in MySQL 5.5. MySQL 5.6 has fixed even more issues when it comes to execution of many concurrent queries and this means that the thread pool provides even more stable throughput almost independent of the number of queries sent to it in parallel.
By Mat Keep | April 22, 2013
To support the growing emphasis on real-time operations, MySQL is releasing a new MySQL Applier for Hadoop to enable the replication of events from MySQL to Hadoop / Hive / HDFS (Hadoop Distributed File System) as they happen. The MySQL Applier for Hadoop complements existing batch-based Apache Sqoop connectivity. This developer article gives you everything you need to get started in implementing real-time MySQL to Hadoop integration.
By Rob Young | February 5, 2013
MySQL is the most trusted and depended-on open source database platform in use today. As such, 9 out of the top 10 most popular and highly-trafficked websites in the world rely on MySQL primarily due to its ubiquity across heterogeneous platforms and application stacks and for its well-known performance, reliability and ease of use. MySQL 5.6 builds on this momentum by delivering across the board improvements designed to enable innovative DBAs and Developers to create and deploy the next generation of web, embedded and Cloud/SaaS/DaaS applications on the latest generation of development frameworks and hardware platforms.