postgresql
  1. postgresql-natural-join

NATURAL JOIN - (PostgreSQL Join)

In PostgreSQL, NATURAL JOIN is a type of JOIN operation that combines two tables based on their column names that have the same names and datatypes. In this tutorial, we'll discuss the syntax, example, output, explanation, use, important points, and summary of NATURAL JOIN operation in PostgreSQL joins.

Syntax

SELECT column_name(s)
FROM table1
NATURAL JOIN table2;

Example

Let's use NATURAL JOIN to combine two tables.

SELECT *
FROM employees
NATURAL JOIN departments;

The output of this query would be a table that combines the columns from the employees and departments table that have matching column names.

Explanation

In this example, we used NATURAL JOIN to combine the employees and departments table based on their matching column names. The resulting table includes all columns that have matching column names in both tables.

Use

The NATURAL JOIN operation is useful when you want to join two tables based on their common column names. It simplifies the JOIN operation by automatically selecting columns with matching names and types. It can also make your SQL statements more readable and easier to understand.

Important Points

  • NATURAL JOIN operation should be used with care because it can automatically join columns that should not be joined together, such as columns that have the same name but represent different data.
  • NATURAL JOIN can result in a slower performance, especially for larger tables, because it requires scanning the columns of both tables to match the column names.
  • If two tables have multiple columns with the same name, NATURAL JOIN matches all these columns. To avoid this, you can use the USING clause instead.

Summary

In this tutorial, we discussed the NATURAL JOIN operation in PostgreSQL joins. We covered the syntax, example, output, explanation, use, important points, and summary of the NATURAL JOIN operation. With this knowledge, you can now use NATURAL JOIN to combine two tables based on their matching column names in your PostgreSQL queries.

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