Redis, the fast and furious key-value store.

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
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3. Peritor
Working on
http://scalarium.com
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4. Redis - Key-Value Store
Simple, yet awesome
Fast, yet nonvolatile
code.google.com/p/redis
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5. Redis
REmote DIctionary Server
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6. Redis
Went public in March 2009
Just reached 1.0
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7. Redis
< 6000 lines of code
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8. Redis
And the code is simple
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9. Redis
No threading, just one process
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10. Redis
Like Memcached, only awesome
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11. Redis
Simple and efficient text-based protocol
(just like grandma and Memcached used to make)
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12. Redis Protocol
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13. Redis Protocol
redis[“key”] = “value”
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14. Redis Protocol
Duh!
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15. Redis Protocol
Values can be strings, lists or sets
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16. Redis Protocol - Special Ops
Push and pop elements
(atomic)
Fetch arbitrary set and
array elements
Sorting
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17. Redis Protocol
set foo 4
1000
+OK
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18. Redis Protocol
set foo 4
Request
1000
+OK Response
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19. Redis Protocol
get foo
$4
1000
get bar
$-1
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20. Redis Protocol
get foo Request
$4
Response
1000
get bar Reques
$-1 Respons
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21. Redis Protocol
incr foo
:1001
type foo
+string
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22. Redis Protocol - Lists
lpush pizza 4
fury
+OK
rpush pizza 8
ortolana
+OK
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23. Redis Protocol - Lists
lrange pizza 0 1
*2
$4
fury
$8
ortolana
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24. Redis Protocol - Lists
lrange pizza 0 1 Request
*2
$4
fury Response
$8
ortolana
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25. Redis Protocol - Sets
sadd mq 8
rabbitmq
:1
sadd mq 6
zeromq
:1
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26. Redis Protocol - Sets
smembers mq
*2
$6
zeromq
$8
rabbitmq
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27. Redis Protocol - Sets
sort mq alpha
*2
$8
rabbitmq
$6
zeromq
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28. Redis Protocol - The Rest
Random list/set access
Intersections, Unions
Monitoring
Controlling the Server
Multi-Set Commands
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29. Redis
Data is held in memory, but can be persisted
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30. Redis Key-Value Database
Persistent
Asynchronous
Just like Super Pursuit
Mode
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31. Redis Database
Data is written to disk asynchronously
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32. Redis Database
Redis Server
Dump
Database
fork()
Redis Server rename()
exit()
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33. Redis Database
save 900 1
save 300 10
save 60 100000
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34. Replication
1 Master - N Slaves
Asynchronous on Master
Synchronous on Slave
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35. Redis Replication
Like dumping the database, only to a different file descriptor.
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36. Redis Replication
Redis Master
Redis Slave Redis Slave
Redis Slave Redis Slave
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37. Redis - Scaling
Horizontal
• Run multiple Redis processes
• Use HashRing (e.g. in redis-rb)
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38. Redis - Scaling
Vertical
• Master-Slave setup
• Fetch data from any slave (e.g. random)
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39. To Redis, or not to Redis?
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40. As always, it depends
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41. To Redis
Caching
Statistical data
Recoverable state
Worker queue
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42. Not to Redis
100% consistent dataset required
Data is larger than memory
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43. Redis Use Cases
Nanite - A self-assembling cluster of Ruby
daemons
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44. The most important
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45. Is it faster than
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46. No, but fast enough for you
(if you need the extra features)
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47. Redis
Simple, fast, awesome.
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48. Questions
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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
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