Redis: An introduction
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This document provides an overview of Redis, including: - Redis is an in-memory key-value store that also supports data types like lists, sets, sorted sets, and hashes. It provides persistence and is open source. - Redis has features like master-slave replication, persistence, high performance, support for many languages, transactions, pub/sub functionality, and sharding. - It supports common data structures like lists, sets, sorted sets, and hashes that can be used to solve problems like leaderboards, caching of frequently accessed data, and counting metrics.
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- 1. An introduction March 2014 – Septeni Technology thao_dx@septeni-technology.jp
- 2. Over view • Memcache-ish in-memory key/value store • But values are complex data types: o blobs o lists o sets o sorted sets o hash tables • And it has persistence. • Open source; very helpful and friendly community. • Used in the real world: pinterest, github, craigslist, bit.ly, engineyard...
- 3. Key Features and Cool Stuff • Speed • Master/Slave Replication • All data is eventually persistent • Handles huge workloads easily • Variety of Supported Languages • Support for atomic operations, transactions • Has pub/sub functionality • Sharding
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- 11. Leaderboards and related problems A leader board is a set sorted by score. The ZADD commands implements this directly and the ZREVRANGE command can be used to get the top 100 users by score and ZRANK can be used to get a users rank. Very direct and easy.
- 12. Counting stuff Keeping stats of all kinds is common, say you want to know when to block an IP addresss. The INCRBY command makes it easy to atomically keep counters; GETSET to atomically clear the counter; the expire attribute can be used to tell when an key should be deleted.
- 13. Caching
- 14. Discussion
- 15. Thank you.