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Displaying posts with tag: Mats Kindahl (reset)

High Availability with MySQL Fabric: Part II
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This is the third post in our MySQL Fabric series. If you missed the previous two, we started with an overall introduction, and then a discussion of MySQL Fabric’s high-availability (HA) features. MySQL Fabric was RC when we started this series, but it went GA recently. You can read the press release here, and see this blog post from Oracle’s Mats Kindahl for more details. In our previous post, we showed a simple HA setup managed with MySQL Fabric, including some basic failure

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Oracle’s Mats Kindahl to weave MySQL Fabric into Percona Live session
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Mats Kindahl of Oracle is lead developer of MySQL Fabric

MySQL Fabric is an integrated framework for managing farms of MySQL servers with support for both high-availability and sharding. Its development has been spearheaded by Mats Kindahl, senior principal software developer in MySQL at Oracle.

Mats is leading the MySQL Scaling and High-Availability effort covering the newly released MySQL Fabric and the MySQL Applier for Hadoop. He is also the architect and implementer of several features (mostly replication features), including the row-based replication available in 5.1 and the binary log group commit available in MySQL 5.6. Before starting MySQL he earned a doctoral degree in the area of automated

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MySQL Conference and Expo 2008, Day One
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Today is the first day at the conference (aside from the tutorials, which were yesterday). Here’s what I went to:

New Subquery Optimizations in 6.0

By Sergey Petrunia. This was a similar session to one I went to last year. MySQL has a few cases where subqueries are badly optimized, and this session went into the details of how this is being addressed in MySQL 6.0. There are several new optimization techniques for all types of subqueries, such as inside-out subqueries, materialization, and converting to joins. The optimizations apply to scalar subqueries and subqueries in the FROM clause. Performance results are very good, depending on which data you choose to illustrate. The overall point is that the worst-case subquery nastiness should be resolved. I’m speaking of WHERE NOT IN(SELECT…) and friends. It remains to be seen how

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