Home Database Mysql Tutorial SQL优化,百万级2张表关联,从40分钟到3秒的历程_MySQL

SQL优化,百万级2张表关联,从40分钟到3秒的历程_MySQL

Jun 01, 2016 pm 01:33 PM

bitsCN.com

SQL优化,百万级2张表关联,从40分钟到3秒的历程

 

[sql] 

表结构如下:  

[sql] 

CREATE TABLE `deviceback` (  

  `id` int(11) NOT NULL AUTO_INCREMENT,  

  `imei` varchar(100) NOT NULL COMMENT '手机唯一标识',  

  `mid` varchar(50) DEFAULT NULL,  

  `mac` varchar(100) DEFAULT NULL,  

  `APNType` varchar(100) DEFAULT NULL,  

  `status` int(11) DEFAULT '0',  

  `ip` varchar(100) DEFAULT NULL,  

  `sn` varchar(100) DEFAULT NULL COMMENT '系列号',  

  `oem` varchar(100) DEFAULT NULL COMMENT '厂商',  

  `product` varchar(100) DEFAULT NULL COMMENT '产品',  

  `region` varchar(100) DEFAULT NULL COMMENT '区域',  

  `operator` varchar(100) DEFAULT NULL COMMENT '运营商',  

  `sim` varchar(100) DEFAULT NULL COMMENT 'sim卡号',  

  `push_time` timestamp NULL DEFAULT NULL COMMENT '第一次登陆时间',  

  `origin_version` varchar(100) DEFAULT NULL COMMENT '原始版本',  

  `province` varchar(100) DEFAULT NULL COMMENT '省份',  

  `provinceCode` varchar(100) DEFAULT NULL COMMENT '省份code',  

  `city` varchar(50) DEFAULT NULL COMMENT '城市',  

  `cityCode` varchar(50) DEFAULT NULL COMMENT '城市code',  

  `brands` varchar(50) DEFAULT '0',  

  `version` varchar(100) DEFAULT '0' COMMENT '客户端版本号',  

  `last_checktime` timestamp NULL DEFAULT NULL COMMENT '最后一次登录时间',  

  PRIMARY KEY (`id`),  

  FULLTEXT KEY `NewIndex1` (`imei`),  

  FULLTEXT KEY `NewIndex2` (`mid`),  

  FULLTEXT KEY `NewIndex3` (`product`),  

  FULLTEXT KEY `NewIndex4` (`brands`)  

) ENGINE=MyISAM AUTO_INCREMENT=6832460 DEFAULT CHARSET=utf8;  

[sql] 

CREATE TABLE `20130602_AppLog` (  

  `id` int(11) NOT NULL AUTO_INCREMENT,  

  `imei` varchar(100) DEFAULT NULL,  

  `mid` varchar(50) NOT NULL DEFAULT '',  

  `status` char(1) NOT NULL DEFAULT '0',  

  `mac` varchar(100) DEFAULT 'NULL',  

  `sn` varchar(100) DEFAULT NULL,  

  `sim` varchar(100) DEFAULT NULL,  

  `coperator` varchar(100) DEFAULT NULL,  

  `version` varchar(100) DEFAULT NULL,  

  `logintime` datetime DEFAULT NULL,  

  `ip` varchar(20) DEFAULT NULL,  

  `origin_version` varchar(100) DEFAULT NULL,  

  `now_version` varchar(100) DEFAULT NULL,  

  `APNType` varchar(20) DEFAULT NULL,  

  `oem` varchar(20) DEFAULT NULL,  

  `product` varchar(100) DEFAULT NULL,  

  `region` varchar(100) DEFAULT NULL,  

  `operator` varchar(100) DEFAULT NULL,  

  PRIMARY KEY (`id`),  

  FULLTEXT KEY `NewIndex1` (`imei`),  

  FULLTEXT KEY `NewIndex2` (`mid`)  

) ENGINE=MyISAM AUTO_INCREMENT=3123866 DEFAULT CHARSET=utf8;  

 

SQL如下:

 

 

[sql] 

SELECT *  

FROM   deviceback d,20130602_AppLog g  

WHERE d.mid=g.mid  

      AND d.imei=g.imei  

      AND d.mac=g.mac  

      AND d.brands=0  

      AND g.coperator '' limit 20;  

 

explain

结果:

 

SQL优化,百万级2张表关联,从40分钟到3秒的历程_MySQL

 

从这里可以看到ALL以及key为NULL,就是全表扫描,没有走索引,索引失效了!

 

1 然后我建议建上加上联合索引,试试看效果如何:

 

SQL优化,百万级2张表关联,从40分钟到3秒的历程_MySQL

 

2 效果还是比较慢的,看来得换种办法了,检查所有关联字段,将为null的数据改成''。还是没有效果。

 

3  不查*了,直接count(*)  看看结果集大小,结果还是卡住了,短时间内没有出查询结果。

 

4,到这里我猜测估计是数据的构成问题,那就一个个条件去掉去尝试了。

SELECT *

FROM   deviceback d,20130602_AppLog g

WHERE d.mid=g.mid

      AND d.imei=g.imei

      AND d.mac=g.mac

      AND d.brands=0 limit 20;

去掉 条件试试看,God,结果是37秒就出来了,好,大概问题找到了,出在这条判断语句里面,也就是

AND g.coperator '' 这个影响还蛮大的。

 

那就先在20130602_AppLog 表的coperator字段单独建索引试试看,然后查下 20130602_AppLog里面 g.coperator ''的有多少?

结果是比较令人欣慰的,单独查询,一秒不到出来结果了,6W多条纪录。

 SELECT COUNT(1) 

       FROM 20130602_AppLog gg

       WHERE gg.coperator ''

63987

 

然后再试试整个sql,看需要多长时间。

先看下explain结果:

 

SQL优化,百万级2张表关联,从40分钟到3秒的历程_MySQL

 

SELECT *

FROM   deviceback d,20130602_AppLog g

WHERE d.mid=g.mid

      AND d.imei=g.imei

      AND d.mac=g.mac

      AND d.brands=0

      AND g.coperator '' limit 20;

Great,不到3秒就出来结果了。

 

5,limit 20是OK了,我还想试试不限制limit的话,要多久可以查询出来结果。

直接执行

SELECT *

FROM   deviceback d,20130602_AppLog g

WHERE d.mid=g.mid

      AND d.imei=g.imei

      AND d.mac=g.mac

      AND d.brands=0

      AND g.coperator '' ;

卡住了,很久都没有出来结果,在想是否是数据的问题?切换下where条件后面的字段顺序试试看。

 

SELECT d.mid,g.mac,

FROM   deviceback d,20130602_AppLog g

WHERE 

       d.imei=g.imei

      AND d.mac=g.mac

      AND d.mid=g.mid

      AND d.brands=0

      AND g.coperator '' ;

 OK,27秒出来了,AND d.mid=g.mid这个之前在第一条,现在放在后面,原因是手机唯一标示这个字段有空值。

God,最讨厌关键业务字段null值了,给我们的优化工作带来巨大的烦恼。

 

切记:大家以后千万要记住关键业务字段不能允许录入null值。

bitsCN.com
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1269
29
C# Tutorial
1249
24
MySQL's Role: Databases in Web Applications MySQL's Role: Databases in Web Applications Apr 17, 2025 am 12:23 AM

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

Explain the role of InnoDB redo logs and undo logs. Explain the role of InnoDB redo logs and undo logs. Apr 15, 2025 am 12:16 AM

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.

MySQL: An Introduction to the World's Most Popular Database MySQL: An Introduction to the World's Most Popular Database Apr 12, 2025 am 12:18 AM

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's Place: Databases and Programming MySQL's Place: Databases and Programming Apr 13, 2025 am 12:18 AM

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

Why Use MySQL? Benefits and Advantages Why Use MySQL? Benefits and Advantages Apr 12, 2025 am 12:17 AM

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 vs. Other Programming Languages: A Comparison MySQL vs. Other Programming Languages: A Comparison Apr 19, 2025 am 12:22 AM

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages ​​such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages ​​have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL: From Small Businesses to Large Enterprises MySQL: From Small Businesses to Large Enterprises Apr 13, 2025 am 12:17 AM

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.

How does MySQL index cardinality affect query performance? How does MySQL index cardinality affect query performance? Apr 14, 2025 am 12:18 AM

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.

See all articles