原文首发在github上 MongoNote01.Start MongoDB is an open-source document database that provides high performance, high availability, and automatic scaling. 这是mongo官方给出的定义。定义里的几个关键点体现了mongo的几个突出的优点: document-or
原文首发在github上 MongoNote01.Start
MongoDB is an open-source document database that provides high performance, high availability, and automatic scaling.
这是mongo官方给出的定义。定义里的几个关键点体现了mongo的几个突出的优点:
document-oriented,数据以Bson(Json-style)格式存放在文档中,这个和关系型数据库很大的不同,在mongo中无需按照三范式设计数据库,所以,mongo使用也要比关系型数据库使用起来简单的多。high performance,mongo是C++实现,数据存放简单,不支持jion操作,不支持事务,性能要比sql当然要快。high availability,mongo提供强大的复制功能,当主库挂掉,很方便的使用备份库。automatic scaling,mongo使用sharding进行集群部署,要比SQL方便的多。
但是,也不能只看它的优点,mongo现在也有问题,其中最突出的就是:
不支持事务
总之,相对SQL,mongo的使用比较简单随意,它可以作为SQL之外的有力工具,但是还是不能完全取代成熟的SQL,所以,选择mongo需慎重。
安装Mongo
推荐在Linux64位系统上安装Mongo
1.在官方网站下载压缩包,然后解压到某个目录,如图:
2.在根目录下创建存放数据的data目录
3.运行mongod,如图所示
4.将mongo添加到环境变量中,方便使用命令
5.通过配置文件重新配置mongo的data以及log的属性
在mongo目录下创建mongo.conf文件
dbpath=data/
logpath=log/mogodb.log
logappend=true
此时就可以这样启动mongo了
6.通过mongo命令操作数据库
mongo中的操作命令和SQL中命令有些类似。
通过安装以及简单使用,对mongo有大体的了解。在之后的学习中,通过和SQL对比快速的学习。最好的学习资料,就是官方的:
The MongoDB Manual
也可以下载PDF单文件
The MongoDB Manual.pdf

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Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

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MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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