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Redis - N✮SQL Berlin
- 1. Redis - Fast and Furious N✮SQL Berlin Mathias Meyer, 22.10.2009 Peritor GmbH
- 2. Self I work at Peritor in Berlin I tweet @roidrage I code at http://github.com/mattmatt I blog at http://paperplanes.de 2
- 3. Peritor Working on http://scalarium.com 3
- 4. Redis - Key-Value Store Simple, yet awesome Fast, yet nonvolatile code.google.com/p/redis 4
- 6. Redis Went public in March 2009 Just reached 1.0 6
- 7. Redis < 6000 lines of code 7
- 8. Redis And the code is simple 8
- 9. Redis No threading, just one process 9
- 10. Redis Like Memcached, only awesome 10
- 11. Redis Simple and efficient text-based protocol (just like grandma and Memcached used to make) 11
- 12. Redis Protocol 12
- 13. Redis Protocol redis[“key”] = “value” 13
- 14. Redis Protocol Duh! 14
- 15. Redis Protocol Values can be strings, lists or sets 15
- 16. Redis Protocol - Special Ops Push and pop elements (atomic) Fetch arbitrary set and array elements Sorting 16
- 17. Redis Protocol set foo 4 1000 +OK 17
- 18. Redis Protocol set foo 4 Request 1000 +OK Response 17
- 19. Redis Protocol get foo $4 1000 get bar $-1 18
- 20. Redis Protocol get foo Request $4 Response 1000 get bar Reques $-1 Respons 18
- 21. Redis Protocol incr foo :1001 type foo +string 19
- 22. Redis Protocol - Lists lpush pizza 4 fury +OK rpush pizza 8 ortolana +OK 20
- 23. Redis Protocol - Lists lrange pizza 0 1 *2 $4 fury $8 ortolana 21
- 24. Redis Protocol - Lists lrange pizza 0 1 Request *2 $4 fury Response $8 ortolana 21
- 25. Redis Protocol - Sets sadd mq 8 rabbitmq :1 sadd mq 6 zeromq :1 22
- 26. Redis Protocol - Sets smembers mq *2 $6 zeromq $8 rabbitmq 23
- 27. Redis Protocol - Sets sort mq alpha *2 $8 rabbitmq $6 zeromq 24
- 28. Redis Protocol - The Rest Random list/set access Intersections, Unions Monitoring Controlling the Server Multi-Set Commands 25
- 29. Redis Data is held in memory, but can be persisted 26
- 30. Redis Key-Value Database Persistent Asynchronous Just like Super Pursuit Mode 27
- 31. Redis Database Data is written to disk asynchronously 28
- 32. Redis Database Redis Server Dump Database fork() Redis Server rename() exit() 29
- 33. Redis Database save 900 1 save 300 10 save 60 100000 30
- 34. Replication 1 Master - N Slaves Asynchronous on Master Synchronous on Slave 31
- 35. Redis Replication Like dumping the database, only to a different file descriptor. 32
- 36. Redis Replication Redis Master Redis Slave Redis Slave Redis Slave Redis Slave 33
- 37. Redis - Scaling Horizontal • Run multiple Redis processes • Use HashRing (e.g. in redis-rb) 34
- 38. Redis - Scaling Vertical • Master-Slave setup • Fetch data from any slave (e.g. random) 35
- 39. To Redis, or not to Redis? 36
- 40. As always, it depends 37
- 41. To Redis Caching Statistical data Recoverable state Worker queue 38
- 42. Not to Redis 100% consistent dataset required Data is larger than memory 39
- 43. Redis Use Cases Nanite - A self-assembling cluster of Ruby daemons 40
- 44. The most important 41
- 45. Is it faster than 42
- 46. No, but fast enough for you (if you need the extra features) 43
- 47. Redis Simple, fast, awesome. 44
- 48. Questions 45
- 49. Peritor GmbH Blücherstr. 22, Hof III Aufgang 6 10961 Berlin Tel.: +49 (0)30 69 20 09 84 0 Fax: +49 (0)30 69 20 09 84 9 Internet: www.peritor.com E-Mail: info@peritor.com © Peritor GmbH - Alle Rechte Vorbehalten
Hinweis der Redaktion
- (that&#x2019;s not a lot, even for C code)
- (even for C code)
- (old school)
- Strings can&#x2019;t be longer than 1GB Lists are implemented as doubly linked lists Sets are stored as hashesh
- Different datatypes require using different command sets. Not doing so will raise errors.
- Get is wicked fast.
- incr requires parsing of the value
- lset is destructive, replaces the existing element
- List access only through ranges, getting a whole list requires you to fetch the length first.
- Data in Redis isn&#x2019;t volatile, at least most of the time
- ..and only if necessary. Data is put into a single dump file.
- Database is dumped into a tempfile, then renamed. It&#x2019;s possible to loose data in the dumping period.
- Writes out data after x seconds if at least y number of keys have changed. On startup the dump is reread into memory.
- Fast, more complex, datatypes
- Redis stores the daemon state and is used for service lookup.