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Introduction to Redis

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François-Guillaume Ribreau
François-Guillaume Ribreau

Slides from my talk on Redis at Human talks nantes http://humantalks.com/cities/nantes/events/136/talks/414-introduction-a-redis Redsmin - Fully featured GUI for Redis: https://redsmin.com @redsmin RedisWeekly - http://redisweekly.com @redisweekly

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Introduction HumanTalks Nantes - 13 Mai 2014 Francois-Guillaume Ribreau
REmote DIctionary Server (Redis) is created by @antirez, written in C, released in 2009, BSD licensed, was supported by VMWare and now Pivotal. Redis is an open source, networked, single threaded, in- memory, advanced key-value store with optional durability. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
Key features ‣ Atomic operations ‣ Lua Scripting ‣ Pub/Sub ‣ Transactions ‣ Master/Slave replication ‣ Cluster (with automatic sharding)* ‣ Automatic failover (Redis Sentinel) ‣ Append Only File (AOF) persistence ‣ Snapshot (RDB file) persistence
Key features ‣ Atomic operations ‣ Lua Scripting ‣ Pub/Sub ‣ Transactions ‣ Master/Slave replication ‣ Cluster (with automatic sharding)* ‣ Automatic failover (Redis Sentinel) ‣ Append Only File (AOF) persistence ‣ Snapshot (RDB file) persistence * currently in 3.0.0 beta-3
Key advantages ‣ Blazing* Fast ‣ Robust ‣ Easy to setup, use and maintain ‣ Extensible with LUA scripting
Key advantages ‣ Blazing* Fast ‣ Robust ‣ Easy to setup, use and maintain ‣ Extensible with LUA scripting * as the cool kids say these days.
Key disadvantages ‣ Persistence consumes lot of I/O when using RDB ‣ all your data must fit in memory
Key disadvantages all your data must fit in memory
again.
all your data must fit in memory
What for ? http://bit.ly/138IoSr ‣ Cache out-of-process ‣ Duplicate detector ‣ LIFO/FIFO Queues*, Priority Queue ‣ Distributed HashMap ‣ UID Generator ‣ Pub/Sub ‣ Real-time analytics & chat apps ‣ Counting Stuff ‣ Metrics DB ‣ Implement expires on items ‣ Leaderboards (game high scores) ‣ Geolocation lookup ‣ API throttling (rate-limits) ‣ Autocomplete ‣ Social activity feed ‣ ... http://bit.ly/1qiVDjb
cache:/ Keys users:mostfollowed users:1:followers users:1:tweets users:1
cache:/ Keys users:mostfollowed users:1:followers users:1:tweets users:1 Value Type String Hash Set* List Sorted Set
cache:/ Keys users:mostfollowed users:1:followers users:1:tweets users:1 <!DOCTYPE  html><html><head><meta  ...   charset='utf-­‐8'  /> Example field member username fgribreau followers 2204 89 8 55 5 34 13 21 0 1 2 3 hello... hey!.. @Crea... New  pro... field score @ladygaga 41359356 @youtube 41770322 @barackobama 42872391 @justinbieber 51428544 @katyperry 52811148 Value Type String Hash Set* List Sorted Set * Since 2.8.9, Redis supports a new type: HyperLogLog (an memory efficient way to store and count unique elements in a set)
$  redis-­‐cli redis>  get  talk:414:description (nil) redis>  set  talk:414:description  "Je  propose  ce  sujet  suite  à  une  suggestion  de  Quentin." OK redis>  get  talk:414:description "Je  propose  ce  sujet  suite  xc3xa0  une  suggestion  de  Quentin." redis>  expire  talk:414:description  5 (integer)  1 #  then  after  5  seconds redis>  get  talk:414:description (nil) redis>  getrange  talk:414:description  47  53 "Quentin" redis>  incr  talk:414:views (integer)  1 redis>  incrby  talk:414:views  10 "11" cache:/ Keys <!DOCTYPE  html><html><head><meta  ...   charset='utf-­‐8'  /> ExampleValue Type String append  bitcount  bitop  bitpos  decr  decrby  get  getbit  getrange  getset  incr  incrby  incrbyfloat  mget   mset  msetnx  psetex  set  setbit  setex  setnx  setrange  strlen http://bit.ly/1kRJn0N
Keys users:1 Example field member username fgribreau followers 2204 Value Type Hash redis>  hmset  users:1  username  fgribreau  followers  2204 OK redis>  hgetall  users:1 1)  "username" 2)  "fgribreau" 3)  "followers" 4)  "2204" redis>  hincrby  users:1  followers  1 (integer)  2205 redis>  hget  users:1  followers "2205" redis>  hset  users:1  username  humantalks (integer)  0 hdel  hexists  hget  hgetall  hincrby  hincrbyfloat  hkeys  hlen  hmget  hmset  hset  hsetnx  hvals  hscan
Keys ExampleValue Type redis>  sadd  users:1:followers  89  8  55  5  34  13  21 (integer)  7 redis>  sadd  users:2:followers  0  1  1  2  3  5  8  13  21 (integer)  8 redis>  sinter  users:1:followers  users:2:followers 1)  "5" 2)  "8" 3)  "13" 4)  "21" redis>  scard  users:1:followers (integer)  7 sadd  scard  sdiff  sdiffstore  sinter  sinterstore  sismember  smembers  smove  spop  srandmember  srem   sunion  sunionstore  sscan users:1:followers
Keys ExampleValue Type redis>  sadd  users:1:followers  89  8  55  5  34  13  21 (integer)  7 redis>  sadd  users:2:followers  0  1  1  2  3  5  8  13  21 (integer)  8 redis>  sinter  users:1:followers  users:2:followers 1)  "5" 2)  "8" 3)  "13" 4)  "21" redis>  scard  users:1:followers (integer)  7 sadd  scard  sdiff  sdiffstore  sinter  sinterstore  sismember  smembers  smove  spop  srandmember  srem   sunion  sunionstore  sscan users:1:followers 89 8 55 5 34 13 21Set
Keys ExampleValue Type redis>  rpush  users:1:tweets  hello... (integer)  1 redis>  rpush  users:1:tweets  hey!... (integer)  2 redis>  lindex  users:1:tweets  1 "hey!..." blpop  brpop  brpoplpush  lindex  linsert  llen  lpop  lpush  lpushx  lrange  lrem  lset  ltrim  rpop  rpoplpush   rpush  rpushx users:1:tweets #  Shell  1 redis>  brpop  queue  0 #  blocking  until 1)  "queue" 2)  "my_task" (14.27s) #  Shell  2 redis>  lpush  queue  my_task (integer)  1
Keys ExampleValue Type redis>  rpush  users:1:tweets  hello... (integer)  1 redis>  rpush  users:1:tweets  hey!... (integer)  2 redis>  lindex  users:1:tweets  1 "hey!..." blpop  brpop  brpoplpush  lindex  linsert  llen  lpop  lpush  lpushx  lrange  lrem  lset  ltrim  rpop  rpoplpush   rpush  rpushx users:1:tweets 0 1 2 3 hello... hey!... @Crea... New  pro... List #  Shell  1 redis>  brpop  queue  0 #  blocking  until 1)  "queue" 2)  "my_task" (14.27s) #  Shell  2 redis>  lpush  queue  my_task (integer)  1
Keys ExampleValue Type redis>  zadd  users:byFollowers  51428544   @kant  42872391  @einstein  #  etc.  ... (integer)  5 redis>  zrevrange  users:byFollowers  0  2 1)  "@clesoleil" 2)  "@kant" 3)  "@einstein" redis>  zrevrange  users:byFollowers  0  1  withscores 1)  "@clesoleil" 2)  "52811148" 3)  "@kant" 4)  "51428544" redis>  zrevrank  users:byFollowers  @kant (integer)  1 redis>  zscore  users:byFollowers  @kant "51428544" zadd  zcard  zcount  zincrby  zinterstore  zlexcount  zrange  zrangebylex  zrangebyscore  zrank  zrem   zremrangebylex  zremrangebyrank  zremrangebyscore  zrevrange  zrevrangebyscore  zrevrank  zscore   zunionstore  zscan users:byFollowers
Keys ExampleValue Type redis>  zadd  users:byFollowers  51428544   @kant  42872391  @einstein  #  etc.  ... (integer)  5 redis>  zrevrange  users:byFollowers  0  2 1)  "@clesoleil" 2)  "@kant" 3)  "@einstein" redis>  zrevrange  users:byFollowers  0  1  withscores 1)  "@clesoleil" 2)  "52811148" 3)  "@kant" 4)  "51428544" redis>  zrevrank  users:byFollowers  @kant (integer)  1 redis>  zscore  users:byFollowers  @kant "51428544" zadd  zcard  zcount  zincrby  zinterstore  zlexcount  zrange  zrangebylex  zrangebyscore  zrank  zrem   zremrangebylex  zremrangebyrank  zremrangebyscore  zrevrange  zrevrangebyscore  zrevrank  zscore   zunionstore  zscan users:byFollowers field score @echouard 41359356 @tesla 41770322 @einstein 42872391 @kant 51428544 @clesoleil 52811148 Sorted Set
Who is using Redis? http://bit.ly/1f0GkWi http://bit.ly/1fp4ept http://bit.ly/1f0Gq06 http://bit.ly/1fp4l4t http://bit.ly/1f0GDjW http://bit.ly/1fp4qVJ http://bit.ly/1f0GWez http://bit.ly/XX0yHy http://bit.ly/1f0H11U http://bit.ly/1bGQqJf
Who is using Redis? http://www.xdata.me/?p=301 220.000.000.000 commands per day 500.000.000.000 reads per day 50.000.000.000 writes per day, 500+ servers 2000+ Redis instances!
Why am I talking about Redis ?
BringrCofounder & CTO of “ Create value for your business on Social Media, from discussion to conversion ” Professor @EPSI_Nantes & @UnivNantes on JavaScript (RIA/NodeJS) and NoSQL databases bringr.net
“ Administrate everything, monitor in real-time. Visualizing and editing Redis data-structures has never been so simple. ” Founder of Redsmin redsmin.com
Editor of @RedisWeekly “ A free, once–weekly e-mail round-up of Redis news, articles, tools and libraries. ” redisweekly.com
Questions ? @FGRibreau bringr.net redsmin.com redisweekly.com Thank you.

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Introduction to Redis

  • 1. Introduction HumanTalks Nantes - 13 Mai 2014 Francois-Guillaume Ribreau
  • 2. REmote DIctionary Server (Redis) is created by @antirez, written in C, released in 2009, BSD licensed, was supported by VMWare and now Pivotal. Redis is an open source, networked, single threaded, in- memory, advanced key-value store with optional durability. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
  • 3. Key features ‣ Atomic operations ‣ Lua Scripting ‣ Pub/Sub ‣ Transactions ‣ Master/Slave replication ‣ Cluster (with automatic sharding)* ‣ Automatic failover (Redis Sentinel) ‣ Append Only File (AOF) persistence ‣ Snapshot (RDB file) persistence
  • 4. Key features ‣ Atomic operations ‣ Lua Scripting ‣ Pub/Sub ‣ Transactions ‣ Master/Slave replication ‣ Cluster (with automatic sharding)* ‣ Automatic failover (Redis Sentinel) ‣ Append Only File (AOF) persistence ‣ Snapshot (RDB file) persistence * currently in 3.0.0 beta-3
  • 5. Key advantages ‣ Blazing* Fast ‣ Robust ‣ Easy to setup, use and maintain ‣ Extensible with LUA scripting
  • 6. Key advantages ‣ Blazing* Fast ‣ Robust ‣ Easy to setup, use and maintain ‣ Extensible with LUA scripting * as the cool kids say these days.
  • 7. Key disadvantages ‣ Persistence consumes lot of I/O when using RDB ‣ all your data must fit in memory
  • 8. Key disadvantages all your data must fit in memory
  • 10. all your data must fit in memory
  • 11. What for ? http://bit.ly/138IoSr ‣ Cache out-of-process ‣ Duplicate detector ‣ LIFO/FIFO Queues*, Priority Queue ‣ Distributed HashMap ‣ UID Generator ‣ Pub/Sub ‣ Real-time analytics & chat apps ‣ Counting Stuff ‣ Metrics DB ‣ Implement expires on items ‣ Leaderboards (game high scores) ‣ Geolocation lookup ‣ API throttling (rate-limits) ‣ Autocomplete ‣ Social activity feed ‣ ... http://bit.ly/1qiVDjb
  • 14. cache:/ Keys users:mostfollowed users:1:followers users:1:tweets users:1 <!DOCTYPE  html><html><head><meta  ...   charset='utf-­‐8'  /> Example field member username fgribreau followers 2204 89 8 55 5 34 13 21 0 1 2 3 hello... hey!.. @Crea... New  pro... field score @ladygaga 41359356 @youtube 41770322 @barackobama 42872391 @justinbieber 51428544 @katyperry 52811148 Value Type String Hash Set* List Sorted Set * Since 2.8.9, Redis supports a new type: HyperLogLog (an memory efficient way to store and count unique elements in a set)
  • 15. $  redis-­‐cli redis>  get  talk:414:description (nil) redis>  set  talk:414:description  "Je  propose  ce  sujet  suite  à  une  suggestion  de  Quentin." OK redis>  get  talk:414:description "Je  propose  ce  sujet  suite  xc3xa0  une  suggestion  de  Quentin." redis>  expire  talk:414:description  5 (integer)  1 #  then  after  5  seconds redis>  get  talk:414:description (nil) redis>  getrange  talk:414:description  47  53 "Quentin" redis>  incr  talk:414:views (integer)  1 redis>  incrby  talk:414:views  10 "11" cache:/ Keys <!DOCTYPE  html><html><head><meta  ...   charset='utf-­‐8'  /> ExampleValue Type String append  bitcount  bitop  bitpos  decr  decrby  get  getbit  getrange  getset  incr  incrby  incrbyfloat  mget   mset  msetnx  psetex  set  setbit  setex  setnx  setrange  strlen http://bit.ly/1kRJn0N
  • 16. Keys users:1 Example field member username fgribreau followers 2204 Value Type Hash redis>  hmset  users:1  username  fgribreau  followers  2204 OK redis>  hgetall  users:1 1)  "username" 2)  "fgribreau" 3)  "followers" 4)  "2204" redis>  hincrby  users:1  followers  1 (integer)  2205 redis>  hget  users:1  followers "2205" redis>  hset  users:1  username  humantalks (integer)  0 hdel  hexists  hget  hgetall  hincrby  hincrbyfloat  hkeys  hlen  hmget  hmset  hset  hsetnx  hvals  hscan
  • 17. Keys ExampleValue Type redis>  sadd  users:1:followers  89  8  55  5  34  13  21 (integer)  7 redis>  sadd  users:2:followers  0  1  1  2  3  5  8  13  21 (integer)  8 redis>  sinter  users:1:followers  users:2:followers 1)  "5" 2)  "8" 3)  "13" 4)  "21" redis>  scard  users:1:followers (integer)  7 sadd  scard  sdiff  sdiffstore  sinter  sinterstore  sismember  smembers  smove  spop  srandmember  srem   sunion  sunionstore  sscan users:1:followers
  • 18. Keys ExampleValue Type redis>  sadd  users:1:followers  89  8  55  5  34  13  21 (integer)  7 redis>  sadd  users:2:followers  0  1  1  2  3  5  8  13  21 (integer)  8 redis>  sinter  users:1:followers  users:2:followers 1)  "5" 2)  "8" 3)  "13" 4)  "21" redis>  scard  users:1:followers (integer)  7 sadd  scard  sdiff  sdiffstore  sinter  sinterstore  sismember  smembers  smove  spop  srandmember  srem   sunion  sunionstore  sscan users:1:followers 89 8 55 5 34 13 21Set
  • 19. Keys ExampleValue Type redis>  rpush  users:1:tweets  hello... (integer)  1 redis>  rpush  users:1:tweets  hey!... (integer)  2 redis>  lindex  users:1:tweets  1 "hey!..." blpop  brpop  brpoplpush  lindex  linsert  llen  lpop  lpush  lpushx  lrange  lrem  lset  ltrim  rpop  rpoplpush   rpush  rpushx users:1:tweets #  Shell  1 redis>  brpop  queue  0 #  blocking  until 1)  "queue" 2)  "my_task" (14.27s) #  Shell  2 redis>  lpush  queue  my_task (integer)  1
  • 20. Keys ExampleValue Type redis>  rpush  users:1:tweets  hello... (integer)  1 redis>  rpush  users:1:tweets  hey!... (integer)  2 redis>  lindex  users:1:tweets  1 "hey!..." blpop  brpop  brpoplpush  lindex  linsert  llen  lpop  lpush  lpushx  lrange  lrem  lset  ltrim  rpop  rpoplpush   rpush  rpushx users:1:tweets 0 1 2 3 hello... hey!... @Crea... New  pro... List #  Shell  1 redis>  brpop  queue  0 #  blocking  until 1)  "queue" 2)  "my_task" (14.27s) #  Shell  2 redis>  lpush  queue  my_task (integer)  1
  • 21. Keys ExampleValue Type redis>  zadd  users:byFollowers  51428544   @kant  42872391  @einstein  #  etc.  ... (integer)  5 redis>  zrevrange  users:byFollowers  0  2 1)  "@clesoleil" 2)  "@kant" 3)  "@einstein" redis>  zrevrange  users:byFollowers  0  1  withscores 1)  "@clesoleil" 2)  "52811148" 3)  "@kant" 4)  "51428544" redis>  zrevrank  users:byFollowers  @kant (integer)  1 redis>  zscore  users:byFollowers  @kant "51428544" zadd  zcard  zcount  zincrby  zinterstore  zlexcount  zrange  zrangebylex  zrangebyscore  zrank  zrem   zremrangebylex  zremrangebyrank  zremrangebyscore  zrevrange  zrevrangebyscore  zrevrank  zscore   zunionstore  zscan users:byFollowers
  • 22. Keys ExampleValue Type redis>  zadd  users:byFollowers  51428544   @kant  42872391  @einstein  #  etc.  ... (integer)  5 redis>  zrevrange  users:byFollowers  0  2 1)  "@clesoleil" 2)  "@kant" 3)  "@einstein" redis>  zrevrange  users:byFollowers  0  1  withscores 1)  "@clesoleil" 2)  "52811148" 3)  "@kant" 4)  "51428544" redis>  zrevrank  users:byFollowers  @kant (integer)  1 redis>  zscore  users:byFollowers  @kant "51428544" zadd  zcard  zcount  zincrby  zinterstore  zlexcount  zrange  zrangebylex  zrangebyscore  zrank  zrem   zremrangebylex  zremrangebyrank  zremrangebyscore  zrevrange  zrevrangebyscore  zrevrank  zscore   zunionstore  zscan users:byFollowers field score @echouard 41359356 @tesla 41770322 @einstein 42872391 @kant 51428544 @clesoleil 52811148 Sorted Set
  • 23. Who is using Redis? http://bit.ly/1f0GkWi http://bit.ly/1fp4ept http://bit.ly/1f0Gq06 http://bit.ly/1fp4l4t http://bit.ly/1f0GDjW http://bit.ly/1fp4qVJ http://bit.ly/1f0GWez http://bit.ly/XX0yHy http://bit.ly/1f0H11U http://bit.ly/1bGQqJf
  • 24. Who is using Redis? http://www.xdata.me/?p=301 220.000.000.000 commands per day 500.000.000.000 reads per day 50.000.000.000 writes per day, 500+ servers 2000+ Redis instances!
  • 25. Why am I talking about Redis ?
  • 26. BringrCofounder & CTO of “ Create value for your business on Social Media, from discussion to conversion ” Professor @EPSI_Nantes & @UnivNantes on JavaScript (RIA/NodeJS) and NoSQL databases bringr.net
  • 27. “ Administrate everything, monitor in real-time. Visualizing and editing Redis data-structures has never been so simple. ” Founder of Redsmin redsmin.com
  • 28. Editor of @RedisWeekly “ A free, once–weekly e-mail round-up of Redis news, articles, tools and libraries. ” redisweekly.com
  • 29. Questions ? @FGRibreau bringr.net redsmin.com redisweekly.com Thank you.