Mysql 2007 Tech At Digg V3

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  • very good!!!
    greate slide
    share in http://www.jianbaor.com
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  • Good generic scaling presentation at: http://www.slideshare.net/Georgio_1999/how-to-scale-your-web-app/
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  • Learn more about sharding http://www.opensourceguy.net/2007/05/01/sharding/
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Transcript

  • 1.
      • Technology at digg.com
      • Elliott White III - Eli
      • Tim Ellis - Time
  • 2. What's all this then?
    • History of Tech at Digg
    • Standard Setup
    • Memcached
    • Purpose Driven MySQL Server Pools
    • Sharding
    • Other MySQL details
  • 3. History of Tech at Digg
    • Initially one Linux server with Apache 1.3 and PHP 4.x
    • MySQL 4.0 and myisam tables & MySQL full-text search
    • Started with as many open source packages as possible for rapid development.
      • ImageMagick, Ispell, prototype/scriptaculous, etc
    • Grew quick. One server became two. myisam become innodb. We moved to 3 servers, Apache 2.x, MySQL master-slave replication, started using memcached, moved to PHP 5.x & hired a dba
    • And then the pace picked up yet again...
  • 4. A Standard Setup Many PHP Servers behind a load balancer:
  • 5. A Standard Setup Many MySQL slaves, talking to a master
  • 6. A Standard Setup Randomized PHP to MySQL relations
  • 7. Memcached What is it & Why use it? Why not just pregenerate pages of content?
    • Performance gains:
    • Caching certain chunks of data that may be used on many different pages.
    • From that, still being able to dynamically create the page, but using cached data.
  • 8. Memcached Server Farm
    • Issues to be solved:
    • Allowing for Failover and Redundancy
    • Removing or ignoring stale data upon machine failure
    • Stopping perpetuation of database slave lag
    • Making the actual decisions of what and when to cache
    • Solution: Write generic code that understands your data.
  • 9. Purpose Driven MySQL Pools Creating separate slave pools, that are close to identical in order to isolate high database load.
  • 10. Purpose Driven Pool Example
  • 11. Sharding Simplest Definition: Breaking up your database into a number of smaller ones.
    • Pros
      • Greater performance
      • Tweakable / Scalable
    • Cons
      • Loss of SQL support (JOIN)
      • Increased PHP load
      • Complicated programming
  • 12. Possible Types of Sharding Table-based Range-based Date-based Hashed Partial Sharding
  • 13. How MySQL Can Do Sharding
    • Partition tables
    • Federated tables
    • MySQL Cluster (NDB)
      • Which of these technologies does Digg use?
        • None of them
        • They weren't ready when we needed them
  • 14. Digg MySQL Specifics
    • Mix of MySQL 5.0 versions: 5.0.22, 5.0.27, 5.0.30, 5.0.32
    • A single MySQL 4.1 supporting Cacti
    • MySQL installation & patching done via Debian apt
    • 5.0 performs fine for us compared to 4.1
    • OLTP DBs are InnoDB & OLAP DB is MyISAM
    • InnoDB backup DB for dumps and slave creation
    • InnoDB recovery faster after slave hardware dies
    • MyISAM great for loads and date-versioned DBs
  • 15. Current DB Challenges
    • Scaled via “buy more RAM,” can't afford that anymore
    • Physical I/O common, so rewrite queries
    • Convincing site architects to change features to more scalable alternatives
    • MySQL debug binary testing
    • Schema cruft
    • Managing monitoring & alerting systems (Cacti)
    • Master is a single point of failure (not as bad as it sounds)
    • Why are our disks lying? Use diskTest.pl from: http://faemalia.net/mysqlUtils
  • 16. Any Questions?
      • For this presentation and more: http://eliw.com/
    Visit http://digg.com/