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Introduction to redis
- 2. Agenda What is Redis? History Installation Sample commands Redis with Grails Demo Case Studies
- 3. What is Redis? Redis means REmote DIrectory Server. Redis is an advanced key-value NoSQL data store. It is similar to memcached except the dataset is not volatile. Like memcached, Redis can store string values, but it can also store lists, sets, and ordered sets. All these data types can be manipulated with atomic operations that push, pop, add and remove elements, perform server side union, intersection, difference between sets, and more. Redis also supports different kinds of sorting.
- 4. History Early 2009 - Salvatore Sanfilippo, an Italian developer, started the Redis project He was working on a real-time web analytics solution and found that MySQL could not provide the necessary performance. June 2009 - Redis was deployed in production for the LLOOGG real-time web analytics website March 2010 - VMWare hired Sanfilippo to work full-time on Redis (remains BSD licensed) Subsequently, VMWare hired Pieter Noordhuis, a major Redis contributor, to assist on the project.
- 6. Installation sudo add-apt-repository ppa:chris-lea/redis-server sudo apt-get update sudo apt-get install redis-server Start/Stop: sudo service redis-server start sudo service redis-server stop redis-benchmark
- 7. Sample Commands Command Line : redis-cli SET users:GeorgeWashington "job: President, born:1732, dislikes: cherry trees" GET users:GeorgeWashington > SET population 6 OK > INCRBY population 10 (integer) 16 > INCR population (integer) 17
- 8. Data Model
- 9. Redis with Grails Plugin: https://grails.org/plugin/redis The Redis plugin provides integration with a Redis datastore. This plugin gives grails apps a pooled connection to a Redis instance and provides a number of helper methods and caching/memoization methods that can greatly speed up your application performance.
- 10. Redis with Grails def redisService The redisService bean wraps the pool connection. It has a number of caching/memoization helper functions, template methods, and basic Redis commands, it will be your primary interface to Redis. redisService.foo = "bar" assert "bar" == redisService.foo redisService.sadd("months", "february") assert true == redisService.sismember("months", "february")
- 11. Demo
- 12. Memoization Memoization is a write-through caching technique. The plugin gives a number of methods that take a key name, and a closure as parameters. These methods first check Redis to see if the key exists. If it does, it returns the value of the key and does not execute the closure. If it does not exist in Redis, it executes the closure and saves the result in Redis under the key. Subsequent calls will then be served the cached value from Redis rather than recalculating. This technique is very useful for caching values that are frequently requested but expensive to calculate.
- 13. Demo
- 14. Redis Taglib The redis:memoize TagLib lets you leverage memoization within your GSP files. Wrap it around any expensive to generate text and it will cache it and quickly serve it from Redis. <redis:memoize key="mykey" expire="3600"> <!-- insert expensive to generate GSP content here taglib body will be executed once, subsequent calls will pull from redis till the key expires --> <div id='header'> ... expensive header stuff here that can be cached ... </div> </redis:memoize>
- 15. Demo
- 16. Redis Session Plugin Stores HTTP sessions in a Redis data store. This plugin lets you store HTTP session data in a redis store using Database Session Plugin. https://grails.org/plugin/redis-database-session
- 17. Redis Persistence #Snapshotting (RDB) : Snapshots at predefined intervals, which may also depend on the number of changes. Any changes between these intervals will be lost at a power failure or crash. # Append-Only files (AOF): Writing a kind of change log at every data change. You can fine-tune how often this is physically written to the disk, but if you chose to always write immediately (which will cost you some performance), then there will be no data loss caused by the in-memory nature of Redis
- 18. Redis @ Twitter Redis on Twitter supports over 30 billion timeline updates per day based on 5000 tweets per second or 400,000,000 tweets per day. There is no doubt, Twitter’s infrastructure deals with extremely high scale demands. So, next time you get a Tweet from Katy Perry, remember 39 million inserts just occurred on Redis. While there might be 5000 tweets per second on average and peaks up to 12,000, views are actually what keeps the datastore busy. There are over 300,000 queries per second on home timelines and 30,000 on search-based timelines.
- 19. Redis @ Pinterest Things which Redis stores for a Pinterest Profile. A list of users who you follow A list of boards (and their related users) who you follow A list of your followers A list of people who follow your boards A list of boards you follow A list of boards you unfollowed after following a user The followers and unfollowers of each board Redis stores the above lists for each of it’s 70 million users—it basically stores the entire follower graph.