EDUCBA

Home » Data Science » Data Science Tutorials » PostgreSQL Tutorial

Basic

What is PostgreSQL?

PostgreSQL Features

Install PostgreSQL

PostgreSQL Versions

PostgreSQL Architecture

PostgreSQL GUI

Postgres Command-Line

PostgreSQL Variables

PostgreSQL Data Types

PostgreSQL NOT NULL

PostgreSQL Integer

PostgreSQL Boolean

PostgreSQL BIGINT

PostgreSQL NULLIF

PostgreSQL Administration

PostgreSQL Commands

PostgreSQL Operators

PostgreSQL IN Operator

PostgreSQL Cheat Sheet

Control Statement

PostgreSQL IF Statement

PostgreSQL if else

PostgreSQL CASE Statement

PostgreSQL LOOP

PostgreSQL For Loop

PostgreSQL While Loop

Joins

Joins in PostgreSQL

PostgreSQL Inner Join

PostgreSQL Outer Join

LEFT OUTER JOIN in PostgreSQL

PostgreSQL FULL OUTER JOIN

PostgreSQL LEFT JOIN

PostgreSQL Full Join

PostgreSQL Cross Join

PostgreSQL NATURAL JOIN

PostgreSQL UPDATE JOIN

Queries

PostgreSQL Queries

PostgreSQL INSERT INTO

PostgreSQL WHERE Clause

PostgreSQL WITH Clause

PostgreSQL ORDER BY

PostgreSQL ORDER BY Random

PostgreSQL ORDER BY DESC

PostgreSQL GROUP BY

PostgreSQL group_concat

PostgreSQL HAVING

PostgreSQL Recursive Query

Advanced

PostgreSQL Schema

Postgres List Schemas

PostgreSQL Drop Schema

PostgreSQL VARCHAR

Array in PostgreSQL

PostgreSQL DDL

PostgreSQL List Users

Postgres Default User

Postgres add user

PostgreSQL User Password

PostgreSQL log_statement

PostgreSQL String Functions

PostgreSQL Compare Strings

PostgreSQL Text Search

PostgreSQL TEXT

PostgreSQL String Array

PostgreSQL where in array

PostgreSQL Constraints

PostgreSQL UNIQUE Constraint

PostgreSQL CHECK Constraint

PostgreSQL INTERSECT

PostgreSQL Like

Cursors in PostgreSQL

PostgreSQL UNION ALL

Indexes in PostgreSQL

PostgreSQL Index Types

PostgreSQL REINDEX

PostgreSQL UNIQUE Index

PostgreSQL Clustered Index

PostgreSQL DROP INDEX

PostgreSQL DISTINCT

PostgreSQL FETCH

PostgreSQL RAISE EXCEPTION

PostgreSQL Auto Increment

Sequence in PostgreSQL

Wildcards in PostgreSQL

PostgreSQL Subquery

PostgreSQL Alias

PostgreSQL LIMIT

PostgreSQL Limit Offset

PostgreSQL LAG()

PostgreSQL Table

Postgres Show Tables

PostgreSQL Describe Table

PostgreSQL Lock Table

PostgreSQL ALTER TABLE

Postgres Rename Table

PostgreSQL List Tables

PostgreSQL TRUNCATE TABLE

PostgreSQL Table Partitioning

Postgres DROP Table

PostgreSQL Functions

PostgreSQL Math Functions

PostgreSQL Window Functions

Aggregate Functions in PostgreSQL

PostgreSQL Primary Key

Foreign Key in PostgreSQL

PostgreSQL Procedures

PostgreSQL Stored Procedures

PostgreSQL Views

PostgreSQL Materialized Views

Postgres Create View

PostgreSQL Triggers

PostgreSQL DROP TRIGGER

PostgreSQL Date Functions

PostgreSQL TO_DATE()

PostgreSQL datediff

PostgreSQL Timestamp

PostgreSQL CURRENT_TIMESTAMP()

PostgreSQL Notify

PostgreSQL LENGTH()

PostgreSQL blob

PostgreSQL Median

PostgreSQL kill query

PostgreSQL Formatter

PostgreSQL RANK()

PostgreSQL Select

PostgreSQL Average

PostgreSQL DATE_PART()

PostgreSQL EXECUTE

PostgreSQL COALESCE

PostgreSQL EXTRACT()

PostgreSQL Sort

PostgreSQL TO_CHAR

PostgreSQL Interval

PostgreSQL Number Types

PostgreSQL ROW_NUMBER

Alter Column in PostgreSQL

PostgreSQL Identity Column

PostgreSQL SPLIT_PART()

PostgreSQL CONCAT()

PostgreSQL replace

PostgreSQL TRIM()

PostgreSQL MAX

PostgreSQL DELETE

PostgreSQL Float

PostgreSQL OID

PostgreSQL log

PostgreSQL REGEXP_MATCHES()

PostgreSQL MD5 

PostgreSQL NOW()

PostgreSQL RANDOM

PostgreSQL round

PostgreSQL Trunc()

PostgreSQL TIME

PostgreSQL IS NULL

PostgreSQL CURRENT_TIME

PostgreSQL MOD()

Postgresql Count

PostgreSQL Datetime

PostgreSQL MIN()

PostgreSQL age()

PostgreSQL enum

PostgreSQL OR

PostgreSQL Wal

PostgreSQL NOT IN

PostgreSQL SET

PostgreSQL Current Date

PostgreSQL Compare Date

PostgreSQL SERIAL

PostgreSQL UUID

PostgreSQL Merge

PostgreSQL Database

PostgreSQL Clone Database

PostgreSQL Copy Database

PostgreSQL Show Databases

PostgreSQL Restore Database

PostgreSQL DROP DATABASE

PostgreSQL ALTER DATABASE

Postgres DROP Database

Postgres Dump Database

PostgreSQL OFFSET

PostgreSQL GRANT

PostgreSQL COMMIT

PostgreSQL ROLLUP

PostgreSQL JSON

EXPLAIN ANALYZE in PostgreSQL

PostgreSQL Temporary Table

PostgreSQL Show Tables

PostgreSQL cluster

PostgreSQL Replication

PostgreSQL Logical Replication

PostgreSQL flush privileges

PostgreSQL Tablespaces

CAST in PostgreSQL

PostgreSQL CTE

hstore in PostgreSQL

PostgreSQL Encryption

PostgreSQL DECODE()

PostgreSQL Vacuum

PostgreSQL EXCLUDE

Postgres Change Password

Postgres Delete Cascade

PostgreSQL EXCEPT

PostgreSQL Roles

PostgreSQL Link

PostgreSQL Partition

PostgreSQL column does not exist

PostgreSQL Log Queries

PostgreSQL escape single quote

PostgreSQL Query Optimization

PostgreSQL Character Varying

PostgreSQL Transaction

PostgreSQL Extensions

PostgreSQL Import CSV

PostgreSQL Client

PostgreSQL caching

PostgreSQL Incremental Backup

PostgreSQL JSON vs JSONNB

PostgreSQL JDBC Driver

PostgreSQL Interview Questions

PostgreSQL Tutorial

The open-source relational database management system that is powerful enough to run in all the major operating systems is called PostgreSQL. It is developed before 15 years and has a strong hold in development and architecture. This database is good in reliability, data integrity, and accuracy. The source code is available freely and is developed by a group of volunteers worldwide. It supports programming interfaces such as C, C++, Perl, Ruby, Tcl, and open database connectivity. It has SQL queries, connects, foreign keys, views, transactions, streaming replications and standby as modern features.

Why do we need to learn PostgreSQL?

  1. PostgreSQL is flexible and extensible which helps data scientists to explore their training data and use it in the model along with test data. Also, PostgreSQL helps to solve complex data problems within a short time given its speed and usage of SQL commands.
  2. Since PostgreSQL supports many languages, the commands from these languages can be used and analyzed in the database. It supports SQL along with the commands that help its usage in different fields.
  3. PostgreSQL is easy to learn and it is robust and powerful. All these properties help the user to modify the commands and use PostgreSQL in their projects. The community support of PostgreSQL is vast.

Applications of PostgreSQL

  • Different custom functions developed from any programming language can be added to PostgreSQL which helps to maintain the flexibility and integrity of the database. This helps the user to get familiar with the database.
  • The database is portable so that it can be run in any operating system with the flexibility of commands used in PostgreSQL.
  • The database is very stable when compared with others. Hence the maintenance cost of PostgreSQL is low and it is easy to manage by the users. The ownership cost is low.
  • Users can freely use PostgreSQL as it is open source. Also, it can be freely modified and distributed in any form.
  • We can do PostgreSQL entries as it has the feature of Point-in-time recovery.

Example

How to create a table using PostgreSQL?

CREATE TABLE Employees (empID VARCHAR (32), first name VARCHAR (32), last name VARCHAR (32), designation VARCHAR (64))

How to insert data into a table?

INSERT INTO Employees (empID, first name, last name. designation) VALUES (‘1198609034’, ‘Mariya’, ‘Judith’, Tester)

Prerequisites

  1. People who have a relevant bachelor’s degree and knowledge of computer programming are needed to learn PostgreSQL.
  2. Database knowledge especially relational database helps people to know and understand SQL commands and its complexity.
  3. The administration and management of the system must be known as it helps to transfer the data from one platform to another easily.

Target Audience

People who are interested in PostgreSQL to add in their career development are welcome to learn the PostgreSQL tutorial. Also, people who want to know how PostgreSQL works in terms of flexibility and scalability can start doing the tutorial. The support for this database is huge that learning this will always be a boost to the career.