Database Research & Development

  • Home
  • NoSQL
    • NoSQL
    • Cassandra
  • Databases
    • Database Theory
    • Database Designing
    • SQL Server Coding Standards
    • SQL Server
    • PostgreSQL
    • MySQL
    • Greenplum
    • Linux
  • Interviews
    • SQL Server Interviews
    • MySQL Interviews
    • SQL Puzzles
  • DBA Scripts
    • SQL Server DBA Scripts
    • PostgreSQL DBA Scripts
    • MySQL DBA Scripts
    • Greenplum DBA Scripts
  • Home
  • Blog Archives !
  • (: Laugh@dbrnd :)
  • Contact Me !
sqlserverinterviews
Home 2015 August Find top N records for each group in MySQL

Find top N records for each group in MySQL

This article is half-done without your Comment! *** Please share your thoughts via Comment ***

In this post, I am sharing a demonstration on finding top N records for each group in MySQL.

Today morning, I was working on one of the report and requirement was to find top 2 employee working hours for each department.

I tried many scripts and finally got the solution.

Create a table with sample data:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
CREATE DATABASE Employee;
 
CREATE TABLE Employee.EmployeePivotTest
(
EmpName VARCHAR(255)
,EmpDeptName VARCHAR(255)
,EmpAvgWorkingHours INTEGER
);
 
INSERT INTO Employee.EmployeePivotTest VALUES
('Anvesh','Computer-IT',226)
,('Anvesh','Computer-IT',100)
,('Anvesh','Computer-IT',200)
,('Anvesh','Computer-IT',752)
,('Anvesh','Account',142)
,('Anvesh','Marketing',110)
,('Anvesh','Finance',236)
,('Anvesh','Account',120)
,('Neevan','Computer-IT',120)
,('Neevan','Finance',852)
,('Neevan','Account',326)
,('Neevan','Marketing',50)
,('Neevan','Finance',140);

Find a top N working hour by each employee:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
SELECT
EP.EmpName
,EmpDeptName
,EmpAvgWorkingHours
FROM Employee.EmployeePivotTest AS EP
INNER JOIN
(
SELECT
EmpName
,GROUP_CONCAT(DISTINCT EmpAvgWorkingHours
ORDER BY EmpAvgWorkingHours DESC)
AS GroupedWorkingHours
FROM Employee.EmployeePivotTest
GROUP BY EmpName
) AS T
ON EP.EmpName = T.EmpName
AND FIND_IN_SET(EmpAvgWorkingHours,GroupedWorkingHours) <=2
ORDER BY EmpName,EmpDeptName;

Result:

MySQL Top N Record for Each Group

Now check the above result, each employee has two top 2 records based on their working hours.

In the above query, I used GROUP_CONCAT and FIND_IN_SET.
GROUP_CONCAT groups the column value into a single string and FIND_IN_SET is used to get the position of the string in a comma delimited string list.

You can change the value of 2 to N for your customized report.

Aug 30, 2015Anvesh Patel
Arrange Rows to Columns Pivot Table in MySQLList all Dates between two dates in SQL Server
Anvesh Patel
Anvesh Patel

Database Engineer

August 30, 2015 MySQL, MySQL DBA Script, ScriptAnvesh Patel, database, database research and development, FIND_IN_SET, GROUP_CONCAT, MySQL, MySQL Command, MySQL Database Administrator, MySQL Database Designing, MySQL Database Programming, MySQL Error, MySQL Performance Tunning, MySQL Query, MySQL Tips and Tricks
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

About DBRND !

dbrnd

This is a personal blog (www.dbrnd.com).

Any views or opinions represented in this blog are personal and belong solely to the blog owner and do not represent those of people, institutions or organizations that the owner may or may not be associated with in professional or personal capacity, unless explicitly stated.

Feel free to challenge me, disagree with me, or tell me I’m completely nuts in the comments section of each blog entry, but I reserve the right to delete any comment for any reason whatsoever (abusive, profane, rude, or anonymous comments) - so keep it polite.

The content of this website is protected by copyright. No portion of this website may be copied or replicated in any form without the written consent of the website owner.

Recent Comments !
  • Anvesh Patel { Sure will do... } – May 27, 12:43 PM
  • Anvesh Patel { Great... } – May 27, 12:41 PM
  • Anvesh Patel { Great... } – May 27, 12:39 PM
  • Anvesh Patel { Great... } – May 27, 12:36 PM
  • Anvesh Patel { Great... } – May 27, 12:28 PM
  • Anvesh Patel { Great... } – May 27, 12:27 PM
  • Anvesh Patel { Great... } – May 27, 12:16 PM
  • Older »
Follow Me !
  • facebook
  • linkedin
  • twitter
  • youtube
  • google
  • flickr
© 2015 – 2019 All rights reserved. Database Research & Development (dbrnd.com)
Posting....