Redis by-hari
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Redis is an in-memory data structure store that can be used as a database, cache, and message broker. It supports various data types like strings, hashes, lists, sets, sorted sets, with operations like appending/deleting elements and checking for membership. Redis is popular among NoSQL databases due to its speed, reliability, and support across many programming languages via client libraries.
![Public class TestJedis {
public static void main(String[] args) {
Jedis jedis = new Jedis("localhost");
jedis.set("key", "value");
System.out.println(jedis.get("key"));
}
}
Redis with java client (Jedis)
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Redis by-hari
- 1. Remote Dictionary Server Redis Presented By HARI 1
- 2. Agenda Agenda I . Introduction Context, Popular Redis Users II. Basics How to use, Real time use cases , Data Types. few Advance supported features ………… Transactions, public/subscribe, Clusters, Replication 2
- 3. Context 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
- 4. Popular Redis Users 4
- 5. No SQL Data Bases Document DBs ‣ Mongo DB, Couch DB,… Graph DBs ‣ Neo4j, Flock DB… Column oriented DBs ‣ HBase, Cassandra, BigTable… Key-Value DBs ‣ Memcache, MemcacheDB, Redis,…… 5
- 6. Few Fundamentals Written in C(No external dependence) Uses memory as main storage Uses disk for persistence Single Threaded Fast performance ~50k read/write operations per second 6
- 7. How to use Download Latest Version here Extract it And start sever configurations: redis.conf Connect via client/s For practice you can use http://try.redis.io/ 7
- 8. Keys Arbitrary ASCII strings ‣ Define some format convention and adhere to it ‣ Key length matters! Multiple name spaces are available ‣ Separate DBs indexed by an integer value ‣ SELECT command Keys can expire automatically (if you specify TTL) 8
- 9. Data Types 9
- 10. String Commands • APPEND • GET • SET • STRLEN • INCR • DECR • INCRBY • DECRBY • few more #string commands 10
- 11. • LLEN • LPOP • LPUSH • LRANGE • LREM • LINSERT • RPOP • RPUSH Lists Commands 11
- 12. • SADD • SCARD • SDIFF • SMEMBERS • SMOVE • SPOP • SREM Sets Commands 12
- 13. • ZADD • ZCARD • ZCOUNT • ZRANGE • ZRANK • ZREM • ZSCORE • ZSCAN Sorted Sets Commands 13
- 14. Redis Clients C (hiredis,credis,libredis) C# (ServiceStack.Redis,StackExchange.Redis) C++(redis3m, C++ Client) Java(Jedis,Jredis, JDBC-Redis) Perl(Redis, RedisDB) PHP(Predis, phpredis) • few more 14
- 15. Public class TestJedis { public static void main(String[] args) { Jedis jedis = new Jedis("localhost"); jedis.set("key", "value"); System.out.println(jedis.get("key")); } } Redis with java client (Jedis) 15
- 16. Jedis constructor Jedis(String host) Jedis (String host, int port) Maven dependency <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.5.2</version> </dependency> 16
- 17. Pipe lines Redis pipelines are just a RTT optimization ‣Deliver multiple commands together without waiting for replies ‣Fetch all replies in a single step ‣ Server needs to buffer all replies! Pipelines are NOT transactional or atomic ‣ Much more flexible alternative 17
- 18. Publish/Subscribe Classic pattern decoupling publishers & subscribers You can subscribe to channels; when someone publish in a channel matching your interests Redis will send it to you PUBLISH SUBSCRIBE, UNSUBSCRIBE 18
- 19. Commands are executed as an atomic & single isolated operation DISCARD MULTI EXEC Transactions 19
- 20. Replication One master — Multiple slaves Scalability & redundancy Client side failover, eviction, query routing… Slaves are able to accept other slave connections Asynchronous but periodically acknowledged Automatic slave reconnection 20
- 21. Redis Cluster Released in Redis 3.0 High performance & linearly scalable complex distributed DB Sharding across multiple nodes Graceful handling of network partitions 21
- 22. Real Time Use cases Need a faster response Need a Atomic operations Need a transactions Need a publish/subscribe model Support for persistence Job queue, session store, Real Time Ranking 22
- 23. Redis vs Memcache Name Memchahe Redis Description In-memory key-value store, originally intended for caching In-memory database with configurable options performance vs. persistency Release : 2003 2009 Implementation language C C Server-side scripts NO Lua Replication methods None Master-Slave SQL No NO Database model Key-value Key-value Database schema No NO Supported programming languages Net,C,C++,ColdFusion,Erlang,Java,Lis p Lua,Ocaml,Perl,PHP,Python,Ruby C,C#,C++,Clojure,Dart,Erlang,Go, Java,JavaScript,Lisp,Lua,Objective-C Perl,PHP,Python,Ruby,Scala,Smalltalk Tcl 23
- 24. Summary Fast Simple Reliable Predictable Light weight Widely supported 24