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Tag Archives: Performance

Increasing Cloud Database Efficiency – Like Crows in a Closet

In Mo’ Data, Mo’ Problems, we explored the paradox that “Big Data” projects pose to organizations and how Tokutek is taking an innovative approach to solving those problems. In this post, we’re going to talk …

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Hyper-threading – how does it double CPU throughput?

The other day a customer asked me to do capacity planning for their web server farm. I was looking at the CPU graph for one of the web servers that had Hyper-threading switched ON and …

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Scaling TokuDB Performance with Binlog Group Commit

TokuDB offers high throughput for write intensive applications, and the throughput scales with the number of concurrent clients.  However, when the binary log is turned on, TokuDB 7.5.2 throughput suffers.  The throughput scaling problem is …

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Oct 9 Webinar: Get More Out of MongoDB With TokuMX 2.0

MongoDB includes several powerful features like high availability, read scaling, and horizontal scalability in an easy-to-use, schema-free database platform. But, what if you could retain those properties, improve performance, and ensure scalability without specialized tuning …

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Q&A: Even More Deadly Mistakes of MySQL Development

On Wednesday I gave a presentation on “How to Avoid Even More Common (but Deadly) MySQL Development Mistakes” for Percona MySQL Webinars.  If you missed it, you can still register to view the recording and my slides. Thanks …

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June 11 Webinar: Comparing MongoDB and TokuMX Replication

MongoDB replication has a lot of great features including crash safety, automatic failover and parallel slave replication. Although MongoDB’s replication is impressive in many ways, TokuMX™ replication internals are purposely designed differently. Register Now! SPEAKER: …

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How to improve InnoDB performance by 55% for write-bound loads

During April’s Percona Live MySQL Conference and Expo 2014, I attended a talk on MySQL 5.7 performance an scalability given by Dimitri Kravtchuk, the Oracle MySQL benchmark specialist. He mentioned at some point that the …

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May 13 Webinar: Build Better Time-Series Apps with MongoDB

NoSQL time-series applications built with MongoDB frequently need to remove expired or unwanted data. This is especially true in the world of big data. Sub-optimization in this area leads to unnecessary database growth and decreased …

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Parallel Query for MySQL with Shard-Query

While Shard-Query can work over multiple nodes, this blog post focuses on using Shard-Query with a single node.  Shard-Query can add parallelism to queries which use partitioned tables.  Very large tables can often be partitioned fairly …

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Using Apache Hadoop and Impala together with MySQL for data analysis

Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how …

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