Personal schedule for Michael Jones
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Mark Callaghan (Facebook)
The inside story of MySQL use at Google, and how this performant database is scaled.
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Jeremy Zawodny (craigslist.org)
Craigslist serves millions of classifieds to millions of users around the world on a daily basis and MySQL is our database of record for all this data. But how do you efficiently design a search system to handle this volume?
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Mark Matthews (Sun Microsystems)
Connector/J has a wealth of under-promoted performance features. Come to this session to learn about bulk data loading, load balancing, batch rewriting and the "reckless but really fast" options that C/J has.
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Allan Packer (Sun Microsystems),
Mikael Ronstrom (MySQL)
This session describes the joint Sun/MySQL performance & scalability project. We will look at the key performance issues, what has been achieved so far and share initial results. We will indicate some of what's on the roadmap for the immediate future. Wherever possible, best practices and recommendations for achieving optimal performance will be offered.
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Ken Jacobs (Oracle / Innobase),
Heikki Tuuri (Innobase / Oracle Corp.)
InnoDB has always had unique features to maximize performance and protect the integrity of your data. As hardware has evolved, InnoDB has been enhanced to take full advantage of modern multi-core, large memory platforms. Come learn about the special design features of InnoDB and the performance- and reliability-enhancing features recently introduced in the InnoDB Plugin.
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MC Brown (Sun Microsystems)
Query analysis can help highlight issues in the SQL in your application, but there are many ways of getting that information. Obvious choices are explain and the slow-query log, but newer solutions, such as live query monitoring, mysql proxy and DTrace provide additional benefits.
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Matthew Yonkovit (MySQL),
Yves Trudeau (Percona)
The InnoDB storage engine has been modified to use memcached as a level 2 cache, the InnoDB buffer pool being the level 1. Important reduction of the disk load and performance boost has been observed. This opens a new way of scaling out MySQL.
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Brian Aker (TangentOrg)
Ever wondered what would happen if we could rethink a decade worth of design changes? Drizzle is a fork of the MySQL server targeted at web development and cloud computing. We are looking at how to create database for modern multi-core, large memory databases that fit inside of an overall application framework.
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Kevin Lewis (Sun Microsystems),
Ann Harrison
The Falcon Storage Engine is designed to take advantage of multi-core computers. It is reaching GA at a time when computer performance is being increased mostly by adding more cores. Falcon's unique characteristics will be explained and contrasted with InnoDB and other MySQL storage engines.
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Antony Curtis (Blizzard Entertainment)
A tour of External Language Stored Procedures for MySQL and how they overcome the challenges involved when using MySQL's UDFs and SQL stored procedures.
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Osma Ahvenlampi (Sulake)
Habbo, the world's leading virtual world for teens, has been running on MySQL ever since year 2000 and serves millions of users each month. It's global operation and continued product development depend on timely analysis of masses of data, a challenge we solved using Infobright's Brighthouse DWH engine. I'll tell you why and how we did that.
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Business and Case Studies,
Data Warehousing and Business Intelligence,
ISV/OEM,
Performance Tuning and Benchmarks
Location: Ballroom D
Location: Ballroom D
Michael McFadden (Sciencelogic.com)
Any application with frequent polling and extensive archiving needs has run into the situation of ‘too much data’. Tables become huge and unsearchable, performance goes down, and over time the cost to store this data adds up. This session covers data smoothing techniques including SQL query side solutions that reduce resolution for data archival storage for more efficient application performance.
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Architecture and Technology,
Java,
Replication and Scale-Out,
Web 2.0, Ajax, and Emerging Technologies
Location: Ballroom C
Location: Ballroom C
Frank Mashraqi (NetEdge)
The combination of MySQL and Hadoop opens up new doors for innovation that weren't possible before. Hadoop allows for Massive Parallel Processing but falls short of offering the speed, features and advantages of a relational database such as MySQL. For data intensive startups with massive data processing requirements, a combination of Hadoop and MySQL may be the best solution.
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Dathan Pattishall (Rockyou)
Sharding is all the rage now a days, this presentation explains in detail how Rockyou.com implements Sharding to support over 100 million users across various global social networks. More then 3.4 Billion queries per day are done on this new architecture all using mySQL as a common backend.
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Sergey Petrunia (MySQL)
This is a query optimization troubleshooting roadmap, presented by one of the MySQL optimizer developers. First, we'll give an overview of available query execution strategies and how they are (or aren't) shown in the EXPLAIN output. Second, we'll show how one can find out what the optimizer got wrong. Third, we'll discuss what means one can use to make the optimizer pick the right query plan.
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Architecture and Technology,
Business and Case Studies,
Data Warehousing and Business Intelligence,
ISV/OEM,
Replication and Scale-Out
Location: Ballroom G
Location: Ballroom G
Vidur Apparao (LiveOps, Inc.),
Stephen O'Sullivan (LiveOps, Inc.)
A case study of the evolution of MySQL usage, as a company moved from a scrappy startup - with the goals of finding a cheap, quick, and simple database solution - to a mature enterprise - with high availability and horizontal scalability as key requirements.
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Mark Callaghan (Facebook)
Amazon EC2 is a new platform on which to run MySQL. This session evaluates the performance possible on the variety of hardware configurations available with EC2.
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Jeff Freund (Clickability)
Building a SaaS platform requires application and infrastructure engineering that push beyond “enterprise scale” to “web scale”. MySQL and Memcached play a key role in scaling the Clickability platform. This presentation will tell the evolutionary story of the core technology components that have allowed the platform to scale from 0 to 400m pages per month, without changes to the architecture.
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Don Beesing (Alion Science and Technology)
Long the domain of ArcSDE, Oracle, and other proprietary database back ends, MySQL can compete as a reliable open-source database solution in the rapidly expanding world of Web Mapping Services (WMS). This presentation will demonstrate the utility and flexibility of MySQL's geo-spatial features and how these can be combined with other technologies to publish data into open WMS standards.
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Mattias Jonsson (Sun Microsystems),
Mikael Ronstrom (MySQL)
Insights from the developers behind MySQL Partitioning.
How is partitioning implemented, how does it work in the server and with the storage engines? What solutions can it be a part of and what problems does it introduce?
We present a new partitioning type: Column list, range partitioning on any column type. And give the status of the current development.
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Frank Flynn (Spock Networks)
Looking at sharding your environment? This is the real-world example of sharding our databases using Spockproxy, a sharding-only version of the MySQL Proxy. Layout, sharding, and loading data; problems and limitations of working within shards; and how to get around these problems. The problems and solution we've come across are largely applicable to every kind of sharded environment.
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Ben Handy (Google),
Justin Tolmer (Google)
We are working on improving the performance and reliability of MySQL and InnoDB. We will describe each of the patches we have released, and how they are useful.
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Ben Haley (NetQoS)
Writing a custom engine can seem intimidating and creating a generic engine can be. This presentation will show how to refine the requirements to a manageable subset. We will discuss the problem addressed, the approach chosen, storage engine design and API required to implement the design. We will talk about lessons learned implementing the storage engine to improve flexibility and performance.
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Architecture and Technology,
Business and Case Studies,
Replication and Scale-Out
Location: Ballroom D
Location: Ballroom D
Bob Burgess (Radian6 Technologies)
Recently faced with the problem of an ordinary table growing too large to back up or maintain, we designed a MySQL-Proxy-based storage cluster which seamlessly integrates with the rest of the database and offers redundancy, cluster-member failure protection, load balancing, and information lifecycle management (data age-out) capabilities.
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Blythe Dunham (Spongecell)
Although the popular Ruby on Rails framework is known for its ability to quickly build web applications, getting the most favorable performance out of the standard database, MySQL, takes a little bit of effort. This session will cover simple techniques and tricks for optimizing the interaction of the Rails ActiveRecord for MySql.
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Heikki Tuuri (Innobase / Oracle Corp.),
Calvin Sun (Innobase/Oracle)
This presentation describes InnoDB on-disk file formats, the new file format management, as well as InnoDB source code structure.
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Don MacAskill (SmugMug)
A story of scaling, in today's world - using modern technologies like ZFS, OpenStorage, MySQL, and more, running one of the world's most popular photo sharing sites - SmugMug.
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Eric Day (Drizzle/Gearman),
Brian Aker (TangentOrg)
Come learn the fundamentals of how to leverage Gearman, the open-source, distributed job queuing system. Gearman can help in building scalable MySQL-backed applications or use through a user-defined function. Gearman’s generic design allows it to be used as a building block for a wide variety of applications, from farming out image processing to building your own Map/Reduce implementation.
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Architecture and Technology,
Cloud Computing,
Performance Tuning and Benchmarks
Location: Ballroom C
Location: Ballroom C
MC Brown (Sun Microsystems)
You can run MySQL on a standard server, but there can be benefits to running MySQL within a virtualized environment. You can take advantage of the isolation it provides, or the performance gains possible by running multiple MySQL instances on one large server. This session will show you the benefits and potential issues of running MySQL in a virtualized environment.
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Stewart Smith (Drizzle)
How does the database server use memory? Where? What are the scaling implications of how we allocate, use and free memory in the database server? Can we scale to many CPU cores effectively? Do alternate malloc libraries really help? Why? What does MySQL do? What does Drizzle do (and what have we changed?). These questions (and more) will be answered in this session.
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Vadim Tkachenko (Percona Inc),
Ewen Fortune (Percona)
InnoDB is well-known and popular, but naturally there's room for improvement. There are many hard-coded constants – what happens if we turn them into command-line parameters? InnoDB is also incredibly complex, with a lot going on under the covers. What algorithms can we change to make InnoDB faster and more scalable, especially on modern hardware?
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Christopher Lavigne (Breadboard BI, Inc.)
Based on a real-world case study from a comprehensive market intelligence product - developed for Boats.com/YachtWorld.com by Breadboard BI, Inc - this 45 minute presentation describes a multi-source, enterprise data warehouse developed on a 100% open source stack - MySQL 5.1 (with partitioning), Pentaho Business Intelligence Suite, Linux OS.
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Architecture and Technology,
Business and Case Studies,
Security and Database Administration
Location: Ballroom A
Location: Ballroom A
Frank Mashraqi (NetEdge)
memcached usage is growing like wild fire and most major Web 2.0 websites depend heavily on it. In this session, we will explore several advanced memcached and MySQL use cases. Come see how some of the top destinations online are using memcached to scale their applications, offload load from databases and decrease their application response time.
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Heikki Tuuri (Innobase / Oracle Corp.)
This presentation describes how InnoDB manages concurrency control, so that users get superior performance and transaction throughput, while the system protects data integrity.
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Chuck Hagenbuch (Blue State Digital),
Leigh Heyman (Blue State Digital),
Stephen Gunn (Google, Inc),
Mikey Dickerson (Google),
Ian Gulliver (Google)
Barack Obama's presidential campaign created an unprecedented online grassroots movement in which supporters generated thousands of events, made millions of phone calls, raised record amounts of money, and received over a billion emails.
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