search
HomeDatabaseMysql Tutorialsql数据分组(GROUP BY)最大值,第一条,前三条实例

sql数据分组最大值,第一条,前三条方法总结,三个实例都比较简单都是根据GROUP BY出来的数据进行一些简单操作即可,有需要的同学可参考一下.

取分组前三第记录

 代码如下 复制代码

SELECT  课程,
        SUM(奖金) AS 奖金
FROM    ( SELECT    课程,
                    学号,
                    成绩
          FROM      考试 AS a
          WHERE     ( SELECT    COUNT(*)
                      FROM      考试
                      WHERE     课程 = a.课程
                                AND 学号 a.学号
                                AND 成绩 > a.成绩
                    )         ) AS b
GROUP BY 课程

取分组第一第记录

表Demo的数据都是字符串类型,按照顺序的时间Time(也是字符串)排序的记录如下:

Num Name Time
1 a 2009/05/01
1 a 2009/05/02
1 a 2009/05/03
2 b 2009/05/04
2 b 2009/05/05
3 c 2009/05/06
3 c 2009/05/07
5 e 2009/05/08
1 a 2009/05/09
1 a 2009/05/10

我想输出类似按照Num分组的每组的第一条数据记录,比如上面的记录我想操作后得到如下记录:
Num Name Time
1 a 2009/05/01
2 b 2009/05/04
3 c 2009/05/06
5 e 2009/05/08
1 a 2009/05/09

sql代码

 代码如下 复制代码

declare @Tab table
(Num int, Name varchar(2),   Time DATETIME)
insert into @tab select 1    ,'a',        '2009/05/01'
insert into @tab select 1    ,'a',        '2009/05/02'
insert into @tab select 1    ,'a',        '2009/05/03'
insert into @tab select 2    ,'b',        '2009/05/04'
insert into @tab select 2    ,'b',        '2009/05/05'
insert into @tab select 3    ,'c',        '2009/05/06'
insert into @tab select 3    ,'c',        '2009/05/07'
insert into @tab select 5    ,'e',        '2009/05/08'
insert into @tab select 1    ,'a',        '2009/05/09'
insert into @tab select 1    ,'a',        '2009/05/10'

select  * from @Tab t where  not exists(select 1 from @Tab where num=t.num and [time]

/*
Num         Name Time
----------- ---- -----------------------
1           a    2009-05-01 00:00:00.000
2           b    2009-05-04 00:00:00.000
3           c    2009-05-06 00:00:00.000
5           e    2009-05-08 00:00:00.000

(4 行受影响)
*/


取分组最大记录


示例:test 表 a b c
  
  1 5 abc
  2 6 bcd
  1 7 ade
  2 8 adc
  若取按a列分组后,b列最大,的所有列的记录:
  
  result a b c
  1 6 bcd
  2 8 adc
  可以使用如下语句:
  

 代码如下 复制代码
  select * from test where b in (select max(id) from test group by a)
  适用于所有数据库:
  
  select t1.a,t1.b,t1.c
  from test t1
  inner join
  (seelct a,max(b) as b from test group by a) t2
  on t1.a=t2.a and t1.b=t2.b
  
  适用于所有数据库:
  
  select a,b,c
  from(
  select a,b,c
  ,row_number()over(partition by a order by b desc) rn
  from test
  )
  where rn=1
Statement
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
What are stored procedures in MySQL?What are stored procedures in MySQL?May 01, 2025 am 12:27 AM

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

How does query caching work in MySQL?How does query caching work in MySQL?May 01, 2025 am 12:26 AM

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

What are the advantages of using MySQL over other relational databases?What are the advantages of using MySQL over other relational databases?May 01, 2025 am 12:18 AM

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

How do you handle database upgrades in MySQL?How do you handle database upgrades in MySQL?Apr 30, 2025 am 12:28 AM

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

What are the different backup strategies you can use for MySQL?What are the different backup strategies you can use for MySQL?Apr 30, 2025 am 12:28 AM

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

What is MySQL clustering?What is MySQL clustering?Apr 30, 2025 am 12:28 AM

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

How do you optimize database schema design for performance in MySQL?How do you optimize database schema design for performance in MySQL?Apr 30, 2025 am 12:27 AM

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

How can you optimize MySQL performance?How can you optimize MySQL performance?Apr 30, 2025 am 12:26 AM

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

See all articles

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 Tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment