MySQL临时表的简单用法
当工作在非常大的表上时,你可能偶尔需要运行很多查询获得一个大量数据的小的子集,不是对整个表运行这些查询,而是让MySQL每次找出所需的少数记录,将记录选择到一个临时表可能更快些,然后在这些表运行查询。 创建临时表很容易,给正常的CREATE TABLE语句
当工作在非常大的表上时,你可能偶尔需要运行很多查询获得一个大量数据的小的子集,不是对整个表运行这些查询,而是让MySQL每次找出所需的少数记录,将记录选择到一个临时表可能更快些,然后在这些表运行查询。
创建临时表很容易,给正常的CREATE TABLE语句加上TEMPORARY关键字:
CREATE TEMPORARY TABLE tmp_table ( name VARCHAR(10) NOT NULL, value INTEGER NOT NULL )
临时表将在你连接MySQL期间存在。当你断开时,MySQL将自动删除表并释放所用的空间。当然你可以在仍然连接的时候删除表并释放空间。
DROP TABLE tmp_table
如果在你创建名为tmp_table临时表时名为tmp_table的表在数据库中已经存在,临时表将有必要屏蔽(隐藏)非临时表tmp_table。
如果你声明临时表是一个HEAP表,MySQL也允许你指定在内存中创建它:
CREATE TEMPORARY TABLE tmp_table ( name VARCHAR(10) NOT NULL, value INTEGER NOT NULL ) TYPE = HEAP
因为HEAP表存储在内存中,你对它运行的查询可能比磁盘上的临时表快些。然而,HEAP表与一般的表有些不同,且有自身的限制。详见MySQL参考手册。
正如前面的建议,你应该测试临时表看看它们是否真的比对大量数据库运行查询快。如果数据很好地索引,临时表可能一点不快。
1. 临时表再断开于mysql的连接后系统会自动删除临时表中的数据,但是这只限于用下面语句建立的表:
定义字段:
CREATE TEMPORARY TABLE tmp_table ( name VARCHAR(10) NOT NULL, value INTEGER NOT NULL )
2)直接将查询结果导入临时表
CREATE TEMPORARY TABLE tmp_table SELECT * FROM table_name
2. 另外mysql也允许你在内存中直接创建临时表,因为是在内存中所有速度会很快,语法如下:
CREATE TEMPORARY TABLE tmp_table ( name VARCHAR(10) NOT NULL, value INTEGER NOT NULL ) TYPE = HEAP
3. 从上面的分析可以看出临时表的数据是会被清空的,你断开了连接就会被自动清空,但是你程序中不可能每发行一次sql就连接一次数据库吧(如果是这样的话,那就会出现你担心的问题,如果不是就没有问题),因为只有断开数据库连接才会被清空数据,在一个数据库连接里面发行多次sql的话系统是不会自动清空临时表数据的。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

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.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

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.

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 and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings
