- 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 PostgreSQL - Select Data
You can retrieve the contents of an existing table in PostgreSQL using the SELECT statement. At this statement, you need to specify the name of the table and, it returns its contents in tabular format which is known as result set.
Syntax
Following is the syntax of the SELECT statement in PostgreSQL −
SELECT column1, column2, columnN FROM table_name;
Example
Assume we have created a table with name CRICKETERS using the following query −
postgres=# CREATE TABLE CRICKETERS ( First_Name VARCHAR(255), Last_Name VARCHAR(255), Age int, Place_Of_Birth VARCHAR(255), Country VARCHAR(255) ); CREATE TABLE postgres=#
And if we have inserted 5 records in to it using INSERT statements as −
postgres=# insert into CRICKETERS values( Shikhar , Dhawan , 33, Delhi , India ); INSERT 0 1 postgres=# insert into CRICKETERS values( Jonathan , Trott , 38, CapeTown , SouthAfrica ); INSERT 0 1 postgres=# insert into CRICKETERS values( Kumara , Sangakkara , 41, Matale , Srilanka ); INSERT 0 1 postgres=# insert into CRICKETERS values( Virat , Kohp , 30, Delhi , India ); INSERT 0 1 postgres=# insert into CRICKETERS values( Rohit , Sharma , 32, Nagpur , India ); INSERT 0 1
Following SELECT query retrieves the values of the columns FIRST_NAME, LAST_NAME and, COUNTRY from the CRICKETERS table.
postgres=# SELECT FIRST_NAME, LAST_NAME, COUNTRY FROM CRICKETERS; first_name | last_name | country ------------+------------+------------- Shikhar | Dhawan | India Jonathan | Trott | SouthAfrica Kumara | Sangakkara | Srilanka Virat | Kohp | India Rohit | Sharma | India (5 rows)
If you want to retrieve all the columns of each record you need to replace the names of the columns with "*" as shown below −
postgres=# SELECT * FROM CRICKETERS; first_name | last_name | age | place_of_birth | country ------------+------------+-----+----------------+------------- Shikhar | Dhawan | 33 | Delhi | India Jonathan | Trott | 38 | CapeTown | SouthAfrica Kumara | Sangakkara | 41 | Matale | Srilanka Virat | Kohp | 30 | Delhi | India Rohit | Sharma | 32 | Nagpur | India (5 rows) postgres=#
Retrieving data using python
READ Operation on any database means to fetch some useful information from the database. You can fetch data from PostgreSQL using the fetch() method provided by the psycopg2.
The Cursor class provides three methods namely fetchall(), fetchmany() and, fetchone() where,
The fetchall() method retrieves all the rows in the result set of a query and returns them as pst of tuples. (If we execute this after retrieving few rows, it returns the remaining ones).
The fetchone() method fetches the next row in the result of a query and returns it as a tuple.
The fetchmany() method is similar to the fetchone() but, it retrieves the next set of rows in the result set of a query, instead of a single row.
Note − A result set is an object that is returned when a cursor object is used to query a table.
Example
The following Python program connects to a database named mydb of PostgreSQL and retrieves all the records from a table named EMPLOYEE.
import psycopg2 #estabpshing the connection conn = psycopg2.connect( database="mydb", user= postgres , password= password , host= 127.0.0.1 , port= 5432 ) #Setting auto commit false conn.autocommit = True #Creating a cursor object using the cursor() method cursor = conn.cursor() #Retrieving data cursor.execute( SELECT * from EMPLOYEE ) #Fetching 1st row from the table result = cursor.fetchone(); print(result) #Fetching 1st row from the table result = cursor.fetchall(); print(result) #Commit your changes in the database conn.commit() #Closing the connection conn.close()
Output
( Ramya , Rama priya , 27, F , 9000.0) [( Vinay , Battacharya , 20, M , 6000.0), ( Sharukh , Sheik , 25, M , 8300.0), ( Sarmista , Sharma , 26, F , 10000.0), ( Tripthi , Mishra , 24, F , 6000.0)]Advertisements