Redis Overview
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This document provides an overview of Redis, including its creation, features, and persistence methods. Redis is an open-source, in-memory key-value store that was created by Salvatore Sanfilippo to solve the problem of storing real-time page view data from multiple websites. It features different data types that can be stored as keys, master-slave replication for availability, and two persistence methods: RDB, which takes periodic snapshots of the dataset, and AOF, which logs all write operations to reconstruct the dataset from disk on startup.
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Redis overview for Software Architecture Forum
Redis is a key-value store that can be used as a database, cache, and message broker. It supports basic data structures like strings, hashes, lists, sets, sorted sets with operations that are fast thanks to storing the entire dataset in memory. Redis also provides features like replication, transactions, pub/sub messaging and can be used for caching, queueing, statistics and inter-process communication.
Introduction to redis
This document provides an overview and introduction to Redis, including:
- Redis is an open source, in-memory data structure store that can be used as a database, cache, and message broker.
- It supports common data structures like strings, hashes, lists, sets, sorted sets with operations like GET, SET, LPUSH, SADD.
- Redis has advantages like speed, rich feature set, replication, and persistence to disk.
- The document outlines how to install and use Redis, and covers additional features like pub/sub, transactions, security and backup.
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The document provides an agenda for a presentation on Redis, an in-memory data structure store. It discusses what Redis is, available clients, data types, operations on data types, performance, persistence, use cases, design considerations, adopters, and more. The presentation aims to familiarize the audience with Redis and its capabilities.
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Redis is an open source, in-memory data structure store that can be used as a database, cache, or message broker. It supports data structures like strings, hashes, lists, sets, sorted sets with ranges and pagination. Redis provides high performance due to its in-memory storage and support for different persistence options like snapshots and append-only files. It uses client/server architecture and supports master-slave replication, partitioning, and failover. Redis is useful for caching, queues, and other transient or non-critical data.
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Redis is an in-memory key-value data store that is commonly used for caching, messaging queues, and storing short-lived data. It stores data in RAM for fast read/write speeds and supports various data structures like strings, lists, sets, sorted sets, and hashes. Redis persists data either through snapshots stored on disk periodically or by logging all write operations. It is widely adopted by major tech companies due to its speed, rich data types, and atomic operations.
Recommended
Redis overview for Software Architecture Forum
Redis is a key-value store that can be used as a database, cache, and message broker. It supports basic data structures like strings, hashes, lists, sets, sorted sets with operations that are fast thanks to storing the entire dataset in memory. Redis also provides features like replication, transactions, pub/sub messaging and can be used for caching, queueing, statistics and inter-process communication.
Introduction to redis
This document provides an overview and introduction to Redis, including:
- Redis is an open source, in-memory data structure store that can be used as a database, cache, and message broker.
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- Redis has advantages like speed, rich feature set, replication, and persistence to disk.
- The document outlines how to install and use Redis, and covers additional features like pub/sub, transactions, security and backup.
Introduction to Redis
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Redis Overview
- 1. REDIS OVERVIEW Dinh Hoang Long Framgia, Inc.
- 2. 2 Outline ● NoSQL and Redis ● The Creation of Redis ● Redis Features ● Redis Persistence
- 3. 3 NoSQL ● Non-relational ● Distributed ● Open-source ● Horizontally scalable
- 4. 4 Redis Key Value Store NoSQL DBMS
- 5. 5 The Creation of Redis
- 6. 6 The Creation of Redis The story of Salvatore Sanfilippo (antirez) Creator of Redis
- 7. 7 Business ● Receiving a stream of page views from multiple websites. ● Storing the latest n page views for every site ● Show latest page views in real time to users ● Maintaining history
- 8. 8 Problem With a peak load of a few thousand page views per second ● Whatever the database schema was ● Whatever trade-offs is → No way for storing by SQL
- 9. 9 The Creation of Redis Solution ● In-memory data store ● Storing lists as a native data type ● Implementing using C language ● Adding fork-based persistence feature
- 10. 10 The Creation of Redis Solution ● In-memory data store ● Storing lists as a native data type ● Implementing using C language ● Adding fork-based persistence feature → Finally, Redis was born!
- 11. 11 Redis Features ● Data Model ● Master/Slave Replication ● In-memory
- 12. 12 Data Model ● STRING
- 13. 13 Data Model ● STRING ● LIST
- 14. 14 Data Model ● STRING ● LIST ● SET
- 15. 15 Data Model ● STRING ● LIST ● SET ● HASH
- 16. 16 Data Model ● STRING ● LIST ● SET ● HASH ● ZSET (Sorted Set)
- 17. 17 Master/Slave Replication Source: http://harish11g.blogspot.com
- 19. 19 What happened if server is turned off?
- 21. 21 Redis Persistence Storing data in hard disk ● RDB (Redis Database) ● AOF (Append Only File)
- 22. 22 RDB (Redis Database)
- 23. 23 RDB (Redis Database) Point-in-time snapshots of dataset at specified intervals.
- 24. 24 RDB (Redis Database) Advantages ● Perfect for backup and transfer ● Maximum performance - Child process: Persist on disk - Parent process: No I/O
- 25. 25 RDB (Redis Database) Disadvantages ● Cannot minimize the chance of data loss ● fork() can be time consuming if the dataset is big
- 26. 26 AOF (Append Only File)
- 27. 27 AOF (Append Only File) ● Logs every write operation received by the server ● Plays again operation at server startup to reconstruct the original dataset
- 28. 28 AOF (Append Only File) Advantages ● Durability (sync every second, every query) ● No seek is required ● Automatically rewrite AOF in background when it gets too big
- 29. 29 AOF (Append Only File) Disadvantages ● Files are usually bigger than RDB files. ● Can be slower than RDB ● Rare bugs in specific commands
- 30. 30 What should we use?
- 31. 31 References TỔNG QUAN VỀ REDIS http://tech.blog.framgia.com/vn/?p=3365 @dinhhoanglong91
- 32. 32 Thank for watching!