--- home: true heroImage: https://raw.githubusercontent.com/dunwu/images/dev/common/dunwu-logo-200.png heroText: DB-TUTORIAL tagline: 💾 db-tutorial 是一个数据库教程。 actionLink: / footer: CC-BY-SA-4.0 Licensed | Copyright © 2018-Now Dunwu --- ![license](https://badgen.net/github/license/dunwu/db-tutorial) ![build](https://api.travis-ci.com/dunwu/db-tutorial.svg?branch=master) > 💾 **db-tutorial** 是一个数据库教程。 > > - 🔁 项目同步维护：[Github](https://github.com/dunwu/db-tutorial/) | [Gitee](https://gitee.com/turnon/db-tutorial/) > - 📖 电子书阅读：[Github Pages](https://dunwu.github.io/db-tutorial/) | [Gitee Pages](https://turnon.gitee.io/db-tutorial/) ## 数据库原理 ### 数据结构 TODO... ### 分布式 - [分布式简介](https://dunwu.github.io/design/distributed/分布式简介.html) - [分布式基础理论](https://dunwu.github.io/design/distributed/分布式理论.html) - 关键词：`拜占庭将军`、`CAP`、`BASE` - [分布式算法 Paxos](https://dunwu.github.io/design/distributed/分布式算法Paxos.html) - 关键词：`共识性算法` - [分布式算法 Raft](https://dunwu.github.io/design/distributed/分布式算法Raft.html) - 关键词：`共识性算法` - [负载均衡](https://dunwu.github.io/design/distributed/负载均衡.html) - 关键词：`轮询`、`随机`、`最少连接`、`源地址哈希`、`一致性哈希`、`虚拟 hash 槽` - [消息队列](https://dunwu.github.io/design/distributed/消息队列.html) - 关键词：`重复消费`、`消息丢失`、`消息顺序性`、`消息积压` - [分布式存储](https://dunwu.github.io/design/distributed/分布式存储.html) - 关键词：`读写分离`、`分库分表`、`迁移`、`扩容` - [分布式缓存](https://dunwu.github.io/design/distributed/分布式缓存.html) - 关键词：`进程内缓存`、`分布式缓存`、`缓存雪崩`、`缓存穿透`、`缓存击穿`、`缓存更新`、`缓存预热`、`缓存降级` - [分布式锁](https://dunwu.github.io/design/distributed/分布式锁.html) - 关键词：`数据库`、`Redis`、`ZooKeeper`、`互斥`、`可重入`、`死锁`、`容错`、`自旋尝试` - [分布式 ID](https://dunwu.github.io/design/distributed/分布式ID.html) - 关键词：`UUID`、`自增序列`、`雪花算法`、`Leaf` - [分布式事务](https://dunwu.github.io/design/distributed/分布式事务.html) - 关键词：`2PC`、`3PC`、`TCC`、`本地消息表`、`MQ 消息`、`SAGA` - [分布式会话](https://dunwu.github.io/design/distributed/分布式会话.html) - 关键词：`粘性 Session`、`Session 复制共享`、`基于缓存的 session 共享` - [流量控制](https://dunwu.github.io/design/distributed/流量控制.html) - 关键词：`计数器法`、`时间窗口法`、`令牌桶法`、`漏桶法` ## 关系型数据库 > [关系型数据库](sql) 整理主流关系型数据库知识点。 - [关系型数据库面试总结](sql/common/sql-interview.md) 💯 - [SQL Cheat Sheet](sql/common/sql-cheat-sheet.md) 是一个 SQL 入门教程。 ### [Mysql](sql/mysql) ![img](https://raw.githubusercontent.com/dunwu/images/dev/snap/20200716103611.png) - [Mysql 应用指南](sql/mysql/mysql-quickstart.md) ⚡ - [Mysql 工作流](sql/mysql/mysql-workflow.md) - 关键词：`连接`、`缓存`、`语法分析`、`优化`、`执行引擎`、`redo log`、`bin log`、`两阶段提交` - [Mysql 索引](sql/mysql/mysql-index.md) - 关键词：`Hash`、`B 树`、`聚簇索引`、`回表` - [Mysql 锁](sql/mysql/mysql-lock.md) - 关键词：`乐观锁`、`表级锁`、`行级锁`、`意向锁`、`MVCC`、`Next-key 锁` - [Mysql 事务](sql/mysql/mysql-transaction.md) - 关键词：`ACID`、`AUTOCOMMIT`、`事务隔离级别`、`死锁`、`分布式事务` - [Mysql 性能优化](sql/mysql/mysql-optimization.md) - [Mysql 运维](sql/mysql/mysql-ops.md) 🔨 - [Mysql 配置](sql/mysql/mysql-config.md) - [Mysql 问题](sql/mysql/mysql-faq.md) ### 其他 - [H2 应用指南](sql/h2.md) - [SqLite 应用指南](sql/sqlite.md) - [PostgreSQL 应用指南](sql/postgresql.md) ## 列式数据库 ### HBase > [HBase](https://dunwu.github.io/bigdata-tutorial/hbase) 📚 因为常用于大数据项目，所以将其文档和源码整理在 [bigdata-tutorial](https://dunwu.github.io/bigdata-tutorial/) 项目中。 - [HBase 原理](https://github.com/dunwu/bigdata-tutorial/blob/master/docs/hbase/HBase原理.md) ⚡ - [HBase 命令](https://github.com/dunwu/bigdata-tutorial/blob/master/docs/hbase/HBase命令.md) - [HBase 应用](https://github.com/dunwu/bigdata-tutorial/blob/master/docs/hbase/HBase应用.md) - [HBase 运维](https://github.com/dunwu/bigdata-tutorial/blob/master/docs/hbase/HBase运维.md) ## KV 数据库 ### Redis ![img](https://raw.githubusercontent.com/dunwu/images/dev/snap/20200713105627.png) - [Redis 面试总结](nosql/redis/redis-interview.md) 💯 - [Redis 应用指南](nosql/redis/redis-quickstart.md) ⚡ - 关键词：`内存淘汰`、`事件`、`事务`、`管道`、`发布与订阅` - [Redis 数据类型和应用](nosql/redis/redis-datatype.md) - 关键词：`STRING`、`HASH`、`LIST`、`SET`、`ZSET`、`BitMap`、`HyperLogLog`、`Geo` - [Redis 持久化](nosql/redis/redis-persistence.md) - 关键词：`RDB`、`AOF`、`SAVE`、`BGSAVE`、`appendfsync` - [Redis 复制](nosql/redis/redis-replication.md) - 关键词：`SLAVEOF`、`SYNC`、`PSYNC`、`REPLCONF ACK` - [Redis 哨兵](nosql/redis/redis-sentinel.md) - 关键词：`Sentinel`、`PING`、`INFO`、`Raft` - [Redis 集群](nosql/redis/redis-cluster.md) - 关键词：`CLUSTER MEET`、`Hash slot`、`MOVED`、`ASK`、`SLAVEOF no one`、`redis-trib` - [Redis 实战](nosql/redis/redis-action.md) - 关键词：`缓存`、`分布式锁`、`布隆过滤器` - [Redis 运维](nosql/redis/redis-ops.md) 🔨 - 关键词：`安装`、`命令`、`集群`、`客户端` ## 文档数据库 ### MongoDB > MongoDB 是一个基于文档的分布式数据库，由 C++ 语言编写。旨在为 WEB 应用提供可扩展的高性能数据存储解决方案。 > > MongoDB 是一个介于关系型数据库和非关系型数据库之间的产品。它是非关系数据库当中功能最丰富，最像关系数据库的。它支持的数据结构非常松散，是类似 json 的 bson 格式，因此可以存储比较复杂的数据类型。 > > MongoDB 最大的特点是它支持的查询语言非常强大，其语法有点类似于面向对象的查询语言，几乎可以实现类似关系数据库单表查询的绝大部分功能，而且还支持对数据建立索引。 - [MongoDB 应用指南](nosql/mongodb/mongodb-quickstart.md) - [MongoDB 聚合操作](nosql/mongodb/mongodb-aggregation.md) - [MongoDB 建模](nosql/mongodb/mongodb-model.md) - [MongoDB 建模示例](nosql/mongodb/mongodb-model-example.md) - [MongoDB 索引](nosql/mongodb/mongodb-index.md) - [MongoDB 复制](nosql/mongodb/mongodb-replication.md) - [MongoDB 分片](nosql/mongodb/mongodb-sharding.md) - [MongoDB 运维](nosql/mongodb/mongodb-ops.md) ## 搜索引擎数据库 ### Elasticsearch > Elasticsearch 是一个基于 Lucene 的搜索和数据分析工具，它提供了一个分布式服务。Elasticsearch 是遵从 Apache 开源条款的一款开源产品，是当前主流的企业级搜索引擎。 - [Elasticsearch 面试总结](nosql/elasticsearch/elasticsearch-interview.md) 💯 - [Elasticsearch 快速入门](nosql/elasticsearch/Elasticsearch快速入门.md) - [Elasticsearch 简介](nosql/elasticsearch/Elasticsearch简介.md) - [Elasticsearch Rest API](nosql/elasticsearch/ElasticsearchRestApi.md) - [ElasticSearch Java API 之 High Level REST Client](nosql/elasticsearch/ElasticsearchHighLevelRestJavaApi.md) - [Elasticsearch 索引管理](nosql/elasticsearch/Elasticsearch索引管理.md) - [Elasticsearch 查询](nosql/elasticsearch/Elasticsearch查询.md) - [Elasticsearch 高亮](nosql/elasticsearch/Elasticsearch高亮.md) - [Elasticsearch 排序](nosql/elasticsearch/Elasticsearch排序.md) - [Elasticsearch 聚合](nosql/elasticsearch/Elasticsearch聚合.md) - [Elasticsearch 分析器](nosql/elasticsearch/Elasticsearch分析器.md) - [Elasticsearch 运维](nosql/elasticsearch/Elasticsearch运维.md) - [Elasticsearch 性能优化](nosql/elasticsearch/Elasticsearch性能优化.md) ## 中间件 - [版本管理中间件 flyway](middleware/flyway.md) - [分库分表中间件 ShardingSphere](middleware/shardingsphere.md) ## 资料 📚 ### 数据库综合资料 - [DB-Engines](https://db-engines.com/en/ranking) - 数据库流行度排名 - **书籍** - [《数据密集型应用系统设计》](https://book.douban.com/subject/30329536/) - 这可能是目前最好的分布式存储书籍，强力推荐【进阶】 - **教程** - [CMU 15445 数据库基础课程](https://15445.courses.cs.cmu.edu/fall2019/schedule.html) - [CMU 15721 数据库高级课程](https://15721.courses.cs.cmu.edu/spring2020/schedule.html) - [检索技术核心 20 讲](https://time.geekbang.org/column/intro/100048401) - 极客教程【进阶】 - [后端存储实战课](https://time.geekbang.org/column/intro/100046801) - 极客教程【进阶】 - **论文** - [Efficiency in the Columbia Database Query Optimizer](https://15721.courses.cs.cmu.edu/spring2018/papers/15-optimizer1/xu-columbia-thesis1998.pdf) - [How Good Are Query Optimizers, Really?](http://www.vldb.org/pvldb/vol9/p204-leis.pdf) - [Architecture of a Database System](https://dsf.berkeley.edu/papers/fntdb07-architecture.pdf) - [Data Structures for Databases](https://www.cise.ufl.edu/~mschneid/Research/papers/HS05BoCh.pdf) - **文章** - [Data Structures and Algorithms for Big Databases](https://people.csail.mit.edu/bradley/BenderKuszmaul-tutorial-xldb12.pdf) ### 关系型数据库资料 - **综合资料** - [《数据库的索引设计与优化》](https://book.douban.com/subject/26419771/) - [《SQL 必知必会》](https://book.douban.com/subject/35167240/) - SQL 的基本概念和语法【入门】 - **Oracle 资料** - [《Oracle Database 9i/10g/11g 编程艺术》](https://book.douban.com/subject/5402711/) #### Mysql 资料 - **官方** - [Mysql 官网](https://www.mysql.com/) - [Mysql 官方文档](https://dev.mysql.com/doc/) - **官方 PPT** - [How to Analyze and Tune MySQL Queries for Better Performance](https://www.mysql.com/cn/why-mysql/presentations/tune-mysql-queries-performance/) - [MySQL Performance Tuning 101](https://www.mysql.com/cn/why-mysql/presentations/mysql-performance-tuning101/) - [MySQL Performance Schema & Sys Schema](https://www.mysql.com/cn/why-mysql/presentations/mysql-performance-sys-schema/) - [MySQL Performance: Demystified Tuning & Best Practices](https://www.mysql.com/cn/why-mysql/presentations/mysql-performance-tuning-best-practices/) - [MySQL Security Best Practices](https://www.mysql.com/cn/why-mysql/presentations/mysql-security-best-practices/) - [MySQL Cluster Deployment Best Practices](https://www.mysql.com/cn/why-mysql/presentations/mysql-cluster-deployment-best-practices/) - [MySQL High Availability with InnoDB Cluster](https://www.mysql.com/cn/why-mysql/presentations/mysql-high-availability-innodb-cluster/) - **书籍** - [《高性能 MySQL》](https://book.douban.com/subject/23008813/) - 经典，适合 DBA 或作为开发者的参考手册【进阶】 - [《MySQL 技术内幕：InnoDB 存储引擎》](https://book.douban.com/subject/24708143/) - [《MySQL 必知必会》](https://book.douban.com/subject/3354490/) - Mysql 的基本概念和语法【入门】 - **教程** - [runoob.com MySQL 教程](http://www.runoob.com/mysql/mysql-tutorial.html) - 入门级 SQL 教程 - [mysql-tutorial](https://github.com/jaywcjlove/mysql-tutorial) - **文章** - [MySQL 索引背后的数据结构及算法原理](http://blog.codinglabs.org/articles/theory-of-mysql-index.html) - [Some study on database storage internals](https://medium.com/@kousiknath/data-structures-database-storage-internals-1f5ed3619d43) - [Sharding Pinterest: How we scaled our MySQL fleet](https://medium.com/@Pinterest_Engineering/sharding-pinterest-how-we-scaled-our-mysql-fleet-3f341e96ca6f) - [Guide to MySQL High Availability](https://www.mysql.com/cn/why-mysql/white-papers/mysql-guide-to-high-availability-solutions/) - [Choosing MySQL High Availability Solutions](https://dzone.com/articles/choosing-mysql-high-availability-solutions) - [High availability with MariaDB TX: The definitive guide](https://mariadb.com/sites/default/files/content/Whitepaper_High_availability_with_MariaDB-TX.pdf) - Mysql 相关经验 - [Booking.com: Evolution of MySQL System Design](https://www.percona.com/live/mysql-conference-2015/sessions/bookingcom-evolution-mysql-system-design) ，Booking.com 的 MySQL 数据库使用的演化，其中有很多不错的经验分享，我相信也是很多公司会遇到的的问题。 - [Tracking the Money - Scaling Financial Reporting at Airbnb](https://medium.com/airbnb-engineering/tracking-the-money-scaling-financial-reporting-at-airbnb-6d742b80f040) ，Airbnb 的数据库扩展的经验分享。 - [Why Uber Engineering Switched from Postgres to MySQL](https://eng.uber.com/mysql-migration/) ，无意比较两个数据库谁好谁不好，推荐这篇 Uber 的长文，主要是想让你从中学习到一些经验和技术细节，这是一篇很不错的文章。 - Mysql 集群复制 - [Monitoring Delayed Replication, With A Focus On MySQL](https://engineering.imvu.com/2013/01/09/monitoring-delayed-replication-with-a-focus-on-mysql/) - [Mitigating replication lag and reducing read load with freno](https://githubengineering.com/mitigating-replication-lag-and-reducing-read-load-with-freno/) - [Better Parallel Replication for MySQL](https://medium.com/booking-com-infrastructure/better-parallel-replication-for-mysql-14e2d7857813) - [Evaluating MySQL Parallel Replication Part 2: Slave Group Commit](https://medium.com/booking-com-infrastructure/evaluating-mysql-parallel-replication-part-2-slave-group-commit-459026a141d2) - [Evaluating MySQL Parallel Replication Part 3: Benchmarks in Production](https://medium.com/booking-com-infrastructure/evaluating-mysql-parallel-replication-part-3-benchmarks-in-production-db5811058d74) - [Evaluating MySQL Parallel Replication Part 4: More Benchmarks in Production ](https://medium.com/booking-com-infrastructure/evaluating-mysql-parallel-replication-part-4-more-benchmarks-in-production-49ee255043ab) - [Evaluating MySQL Parallel Replication Part 4, Annex: Under the Hood](https://medium.com/booking-com-infrastructure/evaluating-mysql-parallel-replication-part-4-annex-under-the-hood-eb456cf8b2fb) - Mysql 数据分区 - [StackOverflow: MySQL sharding approaches?](https://stackoverflow.com/questions/5541421/mysql-sharding-approaches) - [Why you don’t want to shard](https://www.percona.com/blog/2009/08/06/why-you-dont-want-to-shard/) - [How to Scale Big Data Applications](https://www.percona.com/sites/default/files/presentations/How to Scale Big Data Applications.pdf) - [MySQL Sharding with ProxySQL](https://www.percona.com/blog/2016/08/30/mysql-sharding-with-proxysql/) - 各公司的 Mysql 数据分区经验分享 - [MailChimp: Using Shards to Accommodate Millions of Users ](https://devs.mailchimp.com/blog/using-shards-to-accommodate-millions-of-users/) - [Uber: Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore](https://eng.uber.com/schemaless-rewrite/) - [Sharding & IDs at Instagram](https://instagram-engineering.com/sharding-ids-at-instagram-1cf5a71e5a5c) - [Airbnb: How We Partitioned Airbnb’s Main Database in Two Weeks](https://medium.com/airbnb-engineering/how-we-partitioned-airbnb-s-main-database-in-two-weeks-55f7e006ff21) - **更多资源** - [awesome-mysql](https://github.com/jobbole/awesome-mysql-cn) - MySQL 的资源列表 ### Nosql 数据库综合 - Martin Fowler 在 YouTube 上分享的 NoSQL 介绍 [Introduction To NoSQL](https://youtu.be/qI_g07C_Q5I)， 以及他参与编写的 [NoSQL Distilled - NoSQL 精粹](https://book.douban.com/subject/25662138/)，这本书才 100 多页，是本难得的关于 NoSQL 的书，很不错，非常易读。 - [NoSQL Databases: a Survey and Decision Guidance](https://medium.com/baqend-blog/nosql-databases-a-survey-and-decision-guidance-ea7823a822d#.nhzop4d23)，这篇文章可以带你自上而下地从 CAP 原理到开始了解 NoSQL 的种种技术，是一篇非常不错的文章。 - [Distribution, Data, Deployment: Software Architecture Convergence in Big Data Systems](https://resources.sei.cmu.edu/asset_files/WhitePaper/2014_019_001_90915.pdf)，这是卡内基·梅隆大学的一篇讲分布式大数据系统的论文。其中主要讨论了在大数据时代下的软件工程中的一些关键点，也说到了 NoSQL 数据库。 - [No Relation: The Mixed Blessings of Non-Relational Databases](http://ianvarley.com/UT/MR/Varley_MastersReport_Full_2009-08-07.pdf)，这篇论文虽然有点年代久远。但这篇论文是 HBase 的基础，你花上一点时间来读读，就可以了解到，对各种非关系型数据存储优缺点的一个很好的比较。 - [NoSQL Data Modeling Techniques](https://highlyscalable.wordpress.com/2012/03/01/nosql-data-modeling-techniques/) ，NoSQL 建模技术。这篇文章我曾经翻译在了 CoolShell 上，标题为 [NoSQL 数据建模技术](https://coolshell.cn/articles/7270.htm)，供你参考。 - [MongoDB - Data Modeling Introduction](https://docs.mongodb.com/manual/core/data-modeling-introduction/) ，虽然这是 MongoDB 的数据建模介绍，但是其很多观点可以用于其它的 NoSQL 数据库。 - [Firebase - Structure Your Database](https://firebase.google.com/docs/database/android/structure-data) ，Google 的 Firebase 数据库使用 JSON 建模的一些最佳实践。 - 因为 CAP 原理，所以当你需要选择一个 NoSQL 数据库的时候，你应该看看这篇文档 [Visual Guide to NoSQL Systems](http://blog.nahurst.com/visual-guide-to-nosql-systems)。 选 SQL 还是 NoSQL，这里有两篇文章，值得你看看。 - [SQL vs. NoSQL Databases: What’s the Difference?](https://www.upwork.com/hiring/data/sql-vs-nosql-databases-whats-the-difference/) - [Salesforce: SQL or NoSQL](https://engineering.salesforce.com/sql-or-nosql-9eaf1d92545b) ### 列式数据库资料 #### Cassandra 资料 - 沃尔玛实验室有两篇文章值得一读。 - [Avoid Pitfalls in Scaling Cassandra Cluster at Walmart](https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04) - [Storing Images in Cassandra at Walmart](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593) - [Yelp: How We Scaled Our Ad Analytics with Apache Cassandra](https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html) ，Yelp 的这篇博客也有一些相关的经验和教训。 - [Discord: How Discord Stores Billions of Messages](https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7) ，Discord 公司分享的一个如何存储十亿级消息的技术文章。 - [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016) ，Instagram 的一个 PPT，其中介绍了 Instagram 中是怎么使用 Cassandra 的。 - [Netflix: Benchmarking Cassandra Scalability on AWS - Over a million writes per second](https://medium.com/netflix-techblog/benchmarking-cassandra-scalability-on-aws-over-a-million-writes-per-second-39f45f066c9e) ，Netflix 公司在 AWS 上给 Cassandra 做的一个 Benchmark。 #### HBase 资料 - [Imgur Notification: From MySQL to HBASE](https://medium.com/imgur-engineering/imgur-notifications-from-mysql-to-hbase-9dba6fc44183) - [Pinterest: Improving HBase Backup Efficiency](https://medium.com/@Pinterest_Engineering/improving-hbase-backup-efficiency-at-pinterest-86159da4b954) - [IBM : Tuning HBase performance](https://www.ibm.com/support/knowledgecenter/en/SSPT3X_2.1.2/com.ibm.swg.im.infosphere.biginsights.analyze.doc/doc/bigsql_TuneHbase.html) - [HBase File Locality in HDFS](http://www.larsgeorge.com/2010/05/hbase-file-locality-in-hdfs.html) - [Apache Hadoop Goes Realtime at Facebook](http://borthakur.com/ftp/RealtimeHadoopSigmod2011.pdf) - [Storage Infrastructure Behind Facebook Messages: Using HBase at Scale](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.294.8459&rep=rep1&type=pdf) - [GitHub: Awesome HBase](https://github.com/rayokota/awesome-hbase) 针对于 HBase 有两本书你可以考虑一下。 - 首先，先推荐两本书，一本是偏实践的《[HBase 实战](https://book.douban.com/subject/25706541/)》，另一本是偏大而全的手册型的《[HBase 权威指南](https://book.douban.com/subject/10748460/)》。 - 当然，你也可以看看官方的 [The Apache HBase™ Reference Guide](http://hbase.apache.org/0.94/book/book.html) - 另外两个列数据库： - [ClickHouse - Open Source Distributed Column Database at Yandex](https://clickhouse.yandex/) - [Scaling Redshift without Scaling Costs at GIPHY](https://engineering.giphy.com/scaling-redshift-without-scaling-costs/) ### KV 数据库资料 #### Redis 资料 - **官网** - [Redis 官网](https://redis.io/) - [Redis github](https://github.com/antirez/redis) - [Redis 官方文档中文版](http://redis.cn/) - [Redis 命令参考](http://redisdoc.com/) - **书籍** - [《Redis 实战》](https://item.jd.com/11791607.html) - [《Redis 设计与实现》](https://item.jd.com/11486101.html) - **源码** - [《Redis 实战》配套 Python 源码](https://github.com/josiahcarlson/redis-in-action) - **资源汇总** - [awesome-redis](https://github.com/JamzyWang/awesome-redis) - **Redis Client** - [spring-data-redis 官方文档](https://docs.spring.io/spring-data/redis/docs/1.8.13.RELEASE/reference/html/) - [redisson 官方文档(中文,略有滞后)](https://github.com/redisson/redisson/wiki/%E7%9B%AE%E5%BD%95) - [redisson 官方文档(英文)](https://github.com/redisson/redisson/wiki/Table-of-Content) - [CRUG | Redisson PRO vs. Jedis: Which Is Faster? 翻译](https://www.jianshu.com/p/82f0d5abb002) - [redis 分布锁 Redisson 性能测试](https://blog.csdn.net/everlasting_188/article/details/51073505) - **文章** - [Learn Redis the hard way (in production) at Trivago](http://tech.trivago.com/2017/01/25/learn-redis-the-hard-way-in-production/) - [Twitter: How Twitter Uses Redis To Scale - 105TB RAM, 39MM QPS, 10,000+ Instances](http://highscalability.com/blog/2014/9/8/how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins.html) - [Slack: Scaling Slack’s Job Queue - Robustly Handling Billions of Tasks in Milliseconds Using Kafka and Redis](https://slack.engineering/scaling-slacks-job-queue-687222e9d100) - [GitHub: Moving persistent data out of Redis at GitHub](https://githubengineering.com/moving-persistent-data-out-of-redis/) - [Instagram: Storing Hundreds of Millions of Simple Key-Value Pairs in Redis](https://engineering.instagram.com/storing-hundreds-of-millions-of-simple-key-value-pairs-in-redis-1091ae80f74c) - [Redis in Chat Architecture of Twitch (from 27:22)](https://www.infoq.com/presentations/twitch-pokemon) - [Deliveroo: Optimizing Session Key Storage in Redis](https://deliveroo.engineering/2016/10/07/optimising-session-key-storage.html) - [Deliveroo: Optimizing Redis Storage](https://deliveroo.engineering/2017/01/19/optimising-membership-queries.html) - [GitHub: Awesome Redis](https://github.com/JamzyWang/awesome-redis) ### 文档数据库资料 - [Couchbase Ecosystem at LinkedIn](https://engineering.linkedin.com/blog/2017/12/couchbase-ecosystem-at-linkedin) - [SimpleDB at Zendesk](https://medium.com/zendesk-engineering/resurrecting-amazon-simpledb-9404034ec506) - [Data Points - What the Heck Are Document Databases?](https://msdn.microsoft.com/en-us/magazine/hh547103.aspx) #### MongoDB 资料 - **官方** - [MongoDB 官网](https://www.mongodb.com/) - [MongoDB Github](https://github.com/mongodb/mongo) - [MongoDB 官方免费教程](https://university.mongodb.com/) - **教程** - [MongoDB 教程](https://www.runoob.com/mongodb/mongodb-tutorial.html) - [MongoDB 高手课](https://time.geekbang.org/course/intro/100040001) - **数据** - [mongodb-json-files](https://github.com/ozlerhakan/mongodb-json-files) - **文章** - [Introduction to MongoDB](https://www.slideshare.net/mdirolf/introduction-to-mongodb) - [eBay: Building Mission-Critical Multi-Data Center Applications with MongoDB](https://www.mongodb.com/blog/post/ebay-building-mission-critical-multi-data-center-applications-with-mongodb) - [The AWS and MongoDB Infrastructure of Parse: Lessons Learned](https://medium.baqend.com/parse-is-gone-a-few-secrets-about-their-infrastructure-91b3ab2fcf71) - [Migrating Mountains of Mongo Data](https://medium.com/build-addepar/migrating-mountains-of-mongo-data-63e530539952) - **更多资源** - [Github: Awesome MongoDB](https://github.com/ramnes/awesome-mongodb) ### 搜索引擎数据库资料 #### ElasticSearch - **官方** - [Elasticsearch 官网](https://www.elastic.co/cn/products/elasticsearch) - [Elasticsearch Github](https://github.com/elastic/elasticsearch) - [Elasticsearch 官方文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html) - [Elasticsearch: The Definitive Guide](https://www.elastic.co/guide/en/elasticsearch/guide/master/index.html) - ElasticSearch 官方学习资料 - **书籍** - [《Elasticsearch 实战》](https://book.douban.com/subject/30380439/) - **教程** - [ELK Stack 权威指南](https://github.com/chenryn/logstash-best-practice-cn) - [Elasticsearch 教程](https://www.knowledgedict.com/tutorial/elasticsearch-intro.html) - **文章** - [Elasticsearch+Logstash+Kibana 教程](https://www.cnblogs.com/xing901022/p/4704319.html) - [ELK（Elasticsearch、Logstash、Kibana）安装和配置](https://github.com/judasn/Linux-Tutorial/blob/master/ELK-Install-And-Settings.md) - **性能调优相关**的工程实践 - [Elasticsearch Performance Tuning Practice at eBay](https://www.ebayinc.com/stories/blogs/tech/elasticsearch-performance-tuning-practice-at-ebay/) - [Elasticsearch at Kickstarter](https://kickstarter.engineering/elasticsearch-at-kickstarter-db3c487887fc) - [9 tips on ElasticSearch configuration for high performance](https://www.loggly.com/blog/nine-tips-configuring-elasticsearch-for-high-performance/) - [Elasticsearch In Production - Deployment Best Practices](https://medium.com/@abhidrona/elasticsearch-deployment-best-practices-d6c1323b25d7) - **更多资源** - [GitHub: Awesome ElasticSearch](https://github.com/dzharii/awesome-elasticsearch) ### 图数据库 - 首先是 IBM Devloperworks 上的两个简介性的 PPT。 - [Intro to graph databases, Part 1, Graph databases and the CRUD operations](https://www.ibm.com/developerworks/library/cl-graph-database-1/cl-graph-database-1-pdf.pdf) - [Intro to graph databases, Part 2, Building a recommendation engine with a graph database](https://www.ibm.com/developerworks/library/cl-graph-database-2/cl-graph-database-2-pdf.pdf) - 然后是一本免费的电子书《[Graph Database](http://graphdatabases.com)》。 - 接下来是一些图数据库的介绍文章。 - [Handling Billions of Edges in a Graph Database](https://www.infoq.com/presentations/graph-database-scalability) - [Neo4j case studies with Walmart, eBay, AirBnB, NASA, etc](https://neo4j.com/customers/) - [FlockDB: Distributed Graph Database for Storing Adjacency Lists at Twitter](https://blog.twitter.com/engineering/en_us/a/2010/introducing-flockdb.html) - [JanusGraph: Scalable Graph Database backed by Google, IBM and Hortonworks](https://architecht.io/google-ibm-back-new-open-source-graph-database-project-janusgraph-1d74fb78db6b) - [Amazon Neptune](https://aws.amazon.com/neptune/) ### 时序数据库 - [What is Time-Series Data & Why We Need a Time-Series Database](https://blog.timescale.com/what-the-heck-is-time-series-data-and-why-do-i-need-a-time-series-database-dcf3b1b18563) - [Time Series Data: Why and How to Use a Relational Database instead of NoSQL](https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c) - [Beringei: High-performance Time Series Storage Engine @Facebook](https://code.facebook.com/posts/952820474848503/beringei-a-high-performance-time-series-storage-engine/) - [Introducing Atlas: Netflix’s Primary Telemetry Platform @Netflix](https://medium.com/netflix-techblog/introducing-atlas-netflixs-primary-telemetry-platform-bd31f4d8ed9a) - [Building a Scalable Time Series Database on PostgreSQL](https://blog.timescale.com/when-boring-is-awesome-building-a-scalable-time-series-database-on-postgresql-2900ea453ee2) - [Scaling Time Series Data Storage - Part I @Netflix](https://medium.com/netflix-techblog/scaling-time-series-data-storage-part-i-ec2b6d44ba39) - [Design of a Cost Efficient Time Series Store for Big Data](https://medium.com/@leventov/design-of-a-cost-efficient-time-series-store-for-big-data-88c5dc41af8e) - [GitHub: Awesome Time-Series Database](https://github.com/xephonhq/awesome-time-series-database) ## 传送 🚪 ◾ 🏠 [DB-TUTORIAL 首页](https://github.com/dunwu/db-tutorial) ◾ 🎯 [我的博客](https://github.com/dunwu/blog) ◾