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Sharding

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  • Transcript

    • 1. Sharding and More weng.wei@zalora.sg
    • 2. • Sharding is about scaling• scaling up VS scaling out
    • 3. Scaling Out• Add more nodes• Each node shared nothing
    • 4. Key / Value• server = serverlist[ hash(key) % len(serverlist) ]
    • 5. Relational DB• On Primary Key• On Index
    • 6. Middle layer• MySQL Proxy
    • 7. Client Side• Memcached client• ORM
    • 8. Limitation• No joining • Join on the same shard is OK• Data maintenance
    • 9. Pre-Sharding• Move database is easier than move data
    • 10. Problem of sharding• serverlist[ hash(key) % len(serverlist)
    • 11. Consistent Hash• ketama from last.fm • De facto Standard for memcached
    • 12. Do we use sharding?• Memcached Client• MySQL for different ventures
    • 13. SQL vs NoSQL• NoSQL is “Not Only SQL”• NoSQL completes SQL, but not replaces it
    • 14. NoSQL is about• Performance?• Scaling (easier to shard)?• Flexibility (schema-less)?
    • 15. Performance• Memcacahed is faster than MySQL?• SQL faster than K/V?• Memory faster than disk?
    • 16. MySQL for K/V• handler socket
    • 17. Schema - less• Friendfeed’s solution • Table as secondary index, then shard
    • 18. • No silver bullet• Trade off