MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中最像关系数据库的。支持类似于面向对象的查询语言,几
【编者的话】MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中最像关系数据库的。支持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。本文介绍了如何使用Docker搭建MongoDB集群。
本文我会向大家介绍如何使用Docker部署一个MongoDB集群,具体如下:
首先要准备三个运行的Docker服务器,这意味着你要准备一个安装了Docker的本地Vagrant Box虚拟机(系统可以使用CoreOS)或者使用AWS或者其它的你喜欢的方式。
步骤 Step1你要拿到3台Docker服务器的IP地址,并且将下面给出的IP地址配置到所有的服务器上面,每一台服务器都要执行如下命令(记得要替换掉IP地址哦):
root@node root@node理想情况下你并不需要这么做,这些IP都是可以通过DNS自动配置好的。但是这样会更加简单,,毕竟这只是一次安装测试。
Step2为每个节点创建密钥文件。在其中某一台服务器上面执行如下的命令,然后把密钥文件复制到其余两个服务器的同样的位置。
在这个教程中,我将把所有的东西都放在“/home/core”文件夹中。
core root@node core root@node keyfile root@node keyfile root@node这个密钥文件的所有者被设置成id为“999”的用户了,因为在MongoDB的Docker容器中,这个用户需要有操作密钥文件的权限。
Step3启动node1(即第一台Docker服务器)的MongoDB容器。它会启动一个没有身份验证机制的容器,所以我们要设置一个用户。
name mongo \ db \ keyfile \ \ \现在创建一个admin用户。我们可以连接到刚刚启动的mongoDB容器,并进入一个交互式的shell环境.
这时候,我们就进到MongoDB的Docker容器里面了,然后我们要打开一个mongo shell环境:
上面的命令可以打开mongo shell环境。执行后你会看到这样的输出:
connecting to: test see http http切换到admin用户:
admin switched to db admin创建一个新的site admin 用户
user pwd roles创建成功的话你会看到如下的成功信息:
{ } ]}
创建一个root用户:
user pwd roles你会看到如下的成功信息:
{ } ]}
我们已经创建好了我们以后要使用的几个用户,现在我们不会退出交互式shell环境(mongo和Docker容器的环境)。
bye root@node1 Step4停止第一个MongoDB实例:
Step5这次使用密钥文件启动第一台MongoDB实例(还是在node1上面操作的)。
root@node1:/# docker rm mongo root@node1:/# docker run \ --name mongo \ db \ keyfile \ \ \ \ \ \ --smallfiles \ keyfile \注意:
连接到副本集上并且安装配置好它。这还是在node1上面进行的。我们要开启另外一个新的交互式shell环境进入mongo容器,同时开启一个mongo shell环境:
bash root@node1:/# mongo切换到admin用户下:
admin switched to db admin因为我们已经设置了一个密码,所以这次我们不得不做身份验证。我们把密码设置为:password。
现在我们可以开启副本集:
Step7验证已经初始化的副本集的配置:
> rs0 r { } ]} Step8
在其余的两个节点启动MongoDB。

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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