Sessions at OSCON Data 2011 about Scaling

Monday 25th July 2011

• MySQL for the Large Scale Social Games

  by Yoshinori Matsunobu

  We at DeNA (largest social game provider in Japan) handle over 2 billion page views per day with MySQL. We heavily use SSD and tune Linux. We run non-trivial solutions such as non-stop, automated MySQL master failover. We also use MySQL not only as traditional RDBMS but also an extremely high performance NoSQL. I'd like to introduce our MySQL solutions to make our social games scale better.

  • MySQL
  • Scaling

  At 3:30pm to 4:10pm, Monday 25th July

  In C121/122, Oregon Convention Center

  Coverage slide deck

• InnoDB: Performance and Scalability Features

  by Inaam Rana and Calvin Sun

  There are many exciting InnoDB performance and Scalability features in MySQL 5.5 and its upcoming release. But how to best use them? What are the caveats? At this session, we will describe those performance and Scalability features in depth. We will also present some benchmark results that explore the performance of those features.

  • InnoDB
  • MySQL
  • Scaling

  At 4:20pm to 5:00pm, Monday 25th July

  In C121/122, Oregon Convention Center

Tuesday 26th July 2011

• Database Scalability Patterns: Sharding for Massive Growth

  by Rob Treat

  Everyone thinks they know what sharding is and how to do it, but simple horizontal read scaling is the small potatoes. In this talk we'll focus on the sharding pattern for large scale read/write architectures, based on real world implementations. Supporting millions of users on commodity hardware doesn't need magical software, just careful application of the right scalability pattern.

  • Scaling
  • Sharding

  At 4:20pm to 5:00pm, Tuesday 26th July

  In C121/122, Oregon Convention Center

• Practical Data Storage: MongoDB @ foursquare

  by Harry Heymann

  A talk about how scaling foursquare using MongoDB and Scala.

  • Foursquare
  • MongoDB
  • Scala
  • Scaling

  At 4:20pm to 5:00pm, Tuesday 26th July

  In C125/126, Oregon Convention Center

  Coverage slide deck write-up

• Scaling Solr Horizontally in the Cloud

  by Andy Blyler and Lindsay Snider

  Solr, an open source enterprise search server, scales very well within an index (vertical scaling). It is when you have multiple indexes (horizontal scaling) that it starts to get hairy, which happens a lot when you are hosting a cloud based solution for multiple users. In this session we will discuss these issue as well as the techniques of how to overcome them in-depth.

  • Scaling
  • Solr

  At 4:20pm to 5:00pm, Tuesday 26th July

  In B118-119, Oregon Convention Center

  Coverage slide deck video