Postgres offers various built-in commands, such as CREATE SCHEMA, ALTER SCHEMA, and DROP SCHEMA, to create, modify, and drop the Postgres schemas.
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Comparison Operators in PostgreSQL
PostgreSQL offers a wide range of comparison operators, including basic and advanced ones, such as =, <, <>, BETWEEN, IN, etc.
PostgreSQL INTEGER Data Type With Examples
In PostgreSQL, the INTEGER data type facilitates the user to store the numerical data between the range of -2,147,483,648 to +2,147,483,647 numbers.
How to Create PostgreSQL Tables With psql and pgAdmin
In PostgreSQL, a table is used to organize the complex, detailed, and unordered data. A table can be created using the "CREATE TABLE" statement.
PostgreSQL JSON Data: How it Works
The JSON data type in Postgres stores the data in the form of key-value pairs. To create a table’s column with JSON data type, you can specify the column’s name followed by the “JSON” data type.
Understanding PostgreSQL Arrays
PostgreSQL allows us to define a table’s column as an array of any built-in data type, user-defined data type, or enumerated data type.
PostgreSQL CREATE DATABASE IF NOT EXISTS
Postgres doesn’t support the “IF NOT EXISTS” option for the CREATE DATABASE command. To achieve the functionality of the “IF NOT EXISTS” option, a subquery can be used in Postgres.
PostgreSQL Data Types Explained
PostgreSQL provides a wide range of data types, such as textual, numeric, and temporal, for efficient data storage and manipulation.
PostgreSQL Aggregate Functions With Practical Examples
To perform calculations on a set of rows, the aggregate functions are used. These functions perform calculations on the table rows and return only a single row.
How to Use GROUP BY Clause in PostgreSQL
The GROUP BY clause in PostgreSQL is used with the collaboration of the SELECT statement to group several rows/items.
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