Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
MySQL query to group results by date and display the count of duplicate values?
Let us first create a table −
mysql> create table DemoTable1496 -> ( -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> PassengerCode varchar(20), -> ArrivalDate datetime -> ); Query OK, 0 rows affected (0.85 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('202','2013-03-12 10:12:34');
Query OK, 1 row affected (0.22 sec)
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('202_John','2013-03-12 11:00:00');
Query OK, 1 row affected (0.18 sec)
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('204','2013-03-12 10:12:34');
Query OK, 1 row affected (0.17 sec)
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('208','2013-03-14 11:10:00');
Query OK, 1 row affected (0.09 sec)
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('202','2013-03-18 12:00:34');
Query OK, 1 row affected (0.11 sec)
mysql> insert into DemoTable1496(PassengerCode,ArrivalDate) values('202','2013-03-18 04:10:01');
Query OK, 1 row affected (0.15 sec)Display all records from the table using select statement −
mysql> select * from DemoTable1496;
This will produce the following output −
+----+---------------+---------------------+ | Id | PassengerCode | ArrivalDate | +----+---------------+---------------------+ | 1 | 202 | 2013-03-12 10:12:34 | | 2 | 202_John | 2013-03-12 11:00:00 | | 3 | 204 | 2013-03-12 10:12:34 | | 4 | 208 | 2013-03-14 11:10:00 | | 5 | 202 | 2013-03-18 12:00:34 | | 6 | 202 | 2013-03-18 04:10:01 | +----+---------------+---------------------+ 6 rows in set (0.00 sec)
Here is the query to group results by date and display the count of duplicate values −
mysql> select date(ArrivalDate),count(ArrivalDate) from DemoTable1496
-> where PassengerCode like concat('%','202','%')
-> group by date(ArrivalDate);This will produce the following output −
+-------------------+--------------------+ | date(ArrivalDate) | count(ArrivalDate) | +-------------------+--------------------+ | 2013-03-12 | 2 | | 2013-03-18 | 2 | +-------------------+--------------------+ 2 rows in set (0.00 sec)
Updated on: 11-Dec-2019
476 Views
Advertisements