The name of book "This is redis". Book summary and use case.

1. This is REDIS
- Feature and USECASE

2. About Me
 Kris jeong(정경석)
 Author a Book of REDIS
 ‘This is REDIS’ in korean
 Software development
Over 14 years.
 Web service dev.
 Messaging server dev.
 Recommendation dev.
 Interested about NoSQL
http://www.aladin.co.kr/shop/wproduct.aspx?ISBN=8968480591

3. What is
 REDIS is In-Memory Database
 Variety data types
 Support persistence
 Key value based NoSQL

4. IMDB(In-Memory DB)
Disk based data store
In-Memory data store
Query Engine
Query Engine
Speed
Storage
Manager
Memory(Cache)
Disk
Memory
Durability
Disk is optional
Disk

5. Redis is cache server?
Not a cache server.
But, It can be.
Turn off Persistence.

6. Running platform
https://github.com/MSOpenTech/redis

7. Install and test
$ wget http://download.redis.io/redis-stable.tar.gz
$ tar xvf redis-stable.tar.gz
$ cd redis-stable
$ make
…
…
done.
$ make test
※ CentOS 6.4 64bit

8. Feature

9. Super fast (TPS)
$ ./src/redis-benchmark --csv -d 1024
"PING_INLINE","34602.07"
"PING_BULK","35971.22"
"SET","35211.27"
"GET","31347.96"
…
"LPUSH (needed to benchmark LRANGE)","32467.53"
"LRANGE_100 (first 100 elements)","4714.76"
"LRANGE_300 (first 300 elements)","1605.91"
"LRANGE_500 (first 450 elements)","1030.93"
"LRANGE_600 (first 600 elements)","735.13"
"MSET (10 keys)","22471.91"
※ CentOS 6.4 64bit, Core i5 3337U@1.8Gz

10. Feature - expire
 Duration cache
 expire user:212:cart 259200
seconds
It will be expired 3 days later.
 Specified time cache
 expireat user:212:item:sward 1388534400
It will be expired 2014/01/01
Unix timestamp

11. Support data types
 String
key
value
{
"product": {
"id": "2951",
"name": "testing 01",
"options": {
"color": "red"
},
"quantity": 4
}
user:1:cart_info
}
※ Up to 512MB

12. Support data types (cont.)
 Hash
Key
field
value
name
min damage
13
max damage
20
durability
32/50
price
item:1:info
bastard sword
3500
add a new value
durability
31/50

13. Support data types (cont.)
 Hash
Key
field
value
name
min damage
item:1:info
bastard sword
13
max damage
20
durability
31/50
32/50
price
3500

14. Support data types (cont.)
 List
Key
user:1:messag
e
elements
hi~
how r you.
bye.
add a new value

15. Support data types (cont.)
 List
Key
user:1:messag
e
elements
hi~
how r you.
bye.

16. Support data types (cont.)
 Set
kris
mike
frank
user:1:friend
martin
tom
add a new value
chris

17. Support data types (cont.)
 Set
kris
mike
user:1:friend
frank
martin
tom
chris

18. Support data types (cont.)
 Sorted Set
score
Key
value
1
91
mike
200
frank
250
martin
251
user:ranking
kris
tom
add a new value
220
chris

19. Support data types (cont.)
 Sorted Set
Key
score
value
1
91
user:ranking
kris
mike
200
frank
220
250
chris
martin
250
251
martin
tom
251
tom

20. Feature – RDB(Snapshot)
Redis instance
Redis data
Data dump
to disk
Dump file
(Redis.rdb)
When snapshot event raised
Check point of Redis snapshot
 Redis data size vs Physical memory size ratio
 vm.overcommit_memory setting
 Disk I/O rate for swap

21. Feature – AOF(Append Only File)
Redis instance
Command
logging
Redis data
Data change command
Redis client
Check point of Redis aof
 Disk space
 Restart time is slower than RDB
appendonly.aof

22. Replication – Single slave
Redis cluster
Master Node
Slave Node
Replication
key1
test value
set key1 ‘test value’ key1
set key1 ‘test value’
Redis client
test value

23. Replication – Multiple slave
Redis cluster
Slave Node 1
Replication
Master Node
Slave Node 2
Slave Node 3
Read
Write
Redis client

24. Replication – Multiple slave (cont.)
Redis cluster
1st Replication
Master Node
Slave Node 1
2nd Replication
Slave Node 2
Slave Node 3
Write
Redis client
Slave Node 4
Read
Redis client

25. Sharding – range
● Data range based data split
User Key 1 ~ 100
User Key 1~50
User Key 51~100
Shard 1
Shard 2
Master Node
Master Node
Slave Node
Slave Node
Slave Node
Slave Node

26. Sharding - vertical
● Schema based data split
User info
Content
Shard 1
Shard 2
Master Node
Master Node
Slave Node
Slave Node
Slave Node
Slave Node

27. Sharding - consistent hashing
● Key based data split
User Key 1 ~ 100
Key % Number of Shard(Key % 2)
Shard 1
Shard 2
Master Node
Master Node
Slave Node
Slave Node
Slave Node
Slave Node

28. Sharding – Redis client
Shard 1
Shard N
…
Sharding Calc
Read/Write
Read/Write
Redis client
Check point of Redis Sharding
 Redis does not support server-side sharding
 Most Redis client support hash based sharding
 Re sharding issue

29. Useage
PV/UV Calculation 1Billion user
 Daily logged in user count
 Weekly logged in user count
 List of Logged-in account at least once of week
Most popular News list - Real time
 Top 10 of news by click count
 News list by popular by comment count
Real time gamers ranking
 Score based Top 10 ranker.
 Recent user list

30. Demo