- Python Data Access - Discussion
- Python Data Access - Useful Resources
- Python Data Access - Quick Guide
- Python MongoDB - Limit
- Python MongoDB - Update
- Python MongoDB - Drop Collection
- Python MongoDB - Delete Document
- Python MongoDB - Sort
- Python MongoDB - Query
- Python MongoDB - Find
- Python MongoDB - Insert Document
- Python MongoDB - Create Collection
- Python MongoDB - Create Database
- Python MongoDB - Introduction
- Python SQLite - Cursor Object
- Python SQLite - Join
- Python SQLite - Limit
- Python SQLite - Drop Table
- Python SQLite - Delete Data
- Python SQLite - Update Table
- Python SQLite - Order By
- Python SQLite - Where Clause
- Python SQLite - Select Data
- Python SQLite - Insert Data
- Python SQLite - Create Table
- Python SQLite - Establishing Connection
- Python SQLite - Introduction
- Python PostgreSQL - Cursor Object
- Python PostgreSQL - Join
- Python PostgreSQL - Limit
- Python PostgreSQL - Drop Table
- Python PostgreSQL - Delete Data
- Python PostgreSQL - Update Table
- Python PostgreSQL - Order By
- Python PostgreSQL - Where Clause
- Python PostgreSQL - Select Data
- Python PostgreSQL - Insert Data
- Python PostgreSQL - Create Table
- Python PostgreSQL - Create Database
- Python PostgreSQL - Database Connection
- Python PostgreSQL - Introduction
- Python MySQL - Cursor Object
- Python MySQL - Join
- Python MySQL - Limit
- Python MySQL - Drop Table
- Python MySQL - Delete Data
- Python MySQL - Update Table
- Python MySQL - Order By
- Python MySQL - Where Clause
- Python MySQL - Select Data
- Python MySQL - Insert Data
- Python MySQL - Create Table
- Python MySQL - Create Database
- Python MySQL - Database Connection
- Python MySQL - Introduction
- Python Data Access - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Python MySQL - Order By
While fetching data using SELECT query, you can sort the results in desired order (ascending or descending) using the OrderBy clause. By default, this clause sorts results in ascending order, if you need to arrange them in descending order you need to use “DESC” exppcitly.
Syntax
Following is the syntax SELECT column-pst
FROM table_name [WHERE condition] [ORDER BY column1, column2,.. columnN] [ASC | DESC]; of the ORDER BY clause:
Example
Assume we have created a table in MySQL with name EMPLOYEES as −
mysql> CREATE TABLE EMPLOYEE( FIRST_NAME CHAR(20) NOT NULL, LAST_NAME CHAR(20), AGE INT, SEX CHAR(1), INCOME FLOAT ); Query OK, 0 rows affected (0.36 sec)
And if we have inserted 4 records in to it using INSERT statements as −
mysql> INSERT INTO EMPLOYEE VALUES ( Krishna , Sharma , 19, M , 2000), ( Raj , Kandukuri , 20, M , 7000), ( Ramya , Ramapriya , 25, F , 5000), ( Mac , Mohan , 26, M , 2000);
Following statement retrieves the contents of the EMPLOYEE table in ascending order of the age.
mysql> SELECT * FROM EMPLOYEE ORDER BY AGE; +------------+-----------+------+------+--------+ | FIRST_NAME | LAST_NAME | AGE | SEX | INCOME | +------------+-----------+------+------+--------+ | Krishna | Sharma | 19 | M | 2000 | | Raj | Kandukuri | 20 | M | 7000 | | Ramya | Ramapriya | 25 | F | 5000 | | Mac | Mohan | 26 | M | 2000 | +------------+-----------+------+------+--------+ 4 rows in set (0.04 sec)
You can also retrieve data in descending order using DESC as −
mysql> SELECT * FROM EMPLOYEE ORDER BY FIRST_NAME, INCOME DESC; +------------+-----------+------+------+--------+ | FIRST_NAME | LAST_NAME | AGE | SEX | INCOME | +------------+-----------+------+------+--------+ | Krishna | Sharma | 19 | M | 2000 | | Mac | Mohan | 26 | M | 2000 | | Raj | Kandukuri | 20 | M | 7000 | | Ramya | Ramapriya | 25 | F | 5000 | +------------+-----------+------+------+--------+ 4 rows in set (0.00 sec)
ORDER BY clause using python
To retrieve contents of a table in specific order, invoke the execute() method on the cursor object and, pass the SELECT statement along with ORDER BY clause, as a parameter to it.
Example
In the following example we are creating a table with name and Employee, populating it, and retrieving its records back in the (ascending) order of their age, using the ORDER BY clause.
import mysql.connector #estabpshing the connection conn = mysql.connector.connect( user= root , password= password , host= 127.0.0.1 , database= mydb ) #Creating a cursor object using the cursor() method cursor = conn.cursor() #Doping EMPLOYEE table if already exists. cursor.execute("DROP TABLE IF EXISTS EMPLOYEE") sql = CREATE TABLE EMPLOYEE( FIRST_NAME CHAR(20) NOT NULL, LAST_NAME CHAR(20), AGE INT, SEX CHAR(1), INCOME FLOAT ) cursor.execute(sql) #Populating the table insert_stmt = "INSERT INTO EMPLOYEE (FIRST_NAME, LAST_NAME, AGE, SEX, INCOME) VALUES (%s, %s, %s, %s, %s)" data = [( Krishna , Sharma , 26, M , 2000), ( Raj , Kandukuri , 20, M , 7000), ( Ramya , Ramapriya , 29, F , 5000), ( Mac , Mohan , 26, M , 2000)] cursor.executemany(insert_stmt, data) conn.commit() #Retrieving specific records using the ORDER BY clause cursor.execute("SELECT * from EMPLOYEE ORDER BY AGE") print(cursor.fetchall()) #Closing the connection conn.close()
Output
[( Raj , Kandukuri , 20, M , 7000.0), ( Krishna , Sharma , 26, M , 2000.0), ( Mac , Mohan , 26, M , 2000.0), ( Ramya , Ramapriya , 29, F , 5000.0) ]
In the same way you can retrieve data from a table in descending order using the ORDER BY clause.
Example
import mysql.connector #estabpshing the connection conn = mysql.connector.connect( user= root , password= password , host= 127.0.0.1 , database= mydb ) #Creating a cursor object using the cursor() method cursor = conn.cursor() #Retrieving specific records using the ORDERBY clause cursor.execute("SELECT * from EMPLOYEE ORDER BY INCOME DESC") print(cursor.fetchall()) #Closing the connection conn.close()
Output
[( Raj , Kandukuri , 20, M , 7000.0), ( Ramya , Ramapriya , 29, F , 5000.0), ( Krishna , Sharma , 26, M , 2000.0), ( Mac , Mohan , 26, M , 2000.0) ]Advertisements