今天无聊,把JIRA的数据库导过来(MySQL版的),在Navicat里查看了一下。总结出以下几点: 一、各种类型: Tables: N个 Views:0个 Functions:0个 Trigger:0个 二、外键使用: 表设计中外键使用得很少,除了一组貌自动生成的表外,其它基本没有外键 外键的使用
今天无聊,把JIRA的数据库导过来(MySQL版的),在Navicat里查看了一下。总结出以下几点:
一、各种类型:
Tables: N个
Views:0个
Functions:0个
Trigger:0个
二、外键使用:
表设计中外键使用得很少,除了一组貌似自动生成的表外,其它基本没有外键
外键的使用,网上有不少争论:
http://www.itpub.net/thread-1313696-1-1.html
http://www.itpub.net/thread-1312844-1-1.html
三、表数据类型选型:
基本只使用了以下几种
decimal:18
decimal:9
varchar(255)
char(x)根据需要
longtext
datetime
四、表名,字段命名规范
以英文全称为主,如AUTHOR
多个单词有用下划线,也没有没有的,如:PROJECTLEVEL,PASSWORD_HASH,感觉这一块做得不是很规范
每个表都包含主键,大都数以ID为主键,也用不少多主键的表
总结:
因为要兼容多个数据库,所以选择尽量少的数据类型,提高在各种数据库里的兼容性,引入尽量少的数据库特性
外键的问题,不发表意见,见那两个链接
id,一般都用decimal(18),为大数据量提供了保障(mysql里支持bigint的,但Oracle之类的没有,为了通用性),为什么是18?对应到java.lang.Long就知道了。
decimal(18),可以映射为Long(JIRA是用Java编写的),如果是19位的话,可能会超过Long的最大数9223372036854775807
varchar一般用varchar(255)多,用数据库了,多点损耗比长度不够要好
以下是预览图:

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

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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