Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/sql/sql-is-null-operator/ below:

SQL IS NULL - GeeksforGeeks

The SQL IS NULL operator is a logical operator used to identify and filter out rows with NULL values in a column. A NULL value represents missing or undefined data in a database. It is different from a zero value or blank space, and it indicates that the value is unknown.

In this article, we will learn how to use the IS NULL operator in SQL, with practical examples to help you understand its functionality.

The IS NULL operator is used to check if a column contains a NULL value. If a column value is NULL, the operator returns TRUE; otherwise, it returns FALSE. It's commonly used in WHERE clauses to filter rows that contain NULL values in specific columns.

Syntax:

SQL IS NULL syntax is:

SELECT * FROM table_name
WHERE column_name IS NULL;

Note: A NULL value is different from a Zero Value and Blank Spaces. A field that has NULL value means the field was left blank.

Let's look at some examples of the IS NULL operator in SQL. These examples will help in understanding the working of IS NULL in SQL.

First, we will create a demo SQL database and table, on which we will use the IS NULL operator.

Query:

CREATE TABLE geeksforgeeks(
  user_id int PRIMARY KEY,
  name varchar(100),
  problems_solved int,
  coding_score int,
  email varchar(100)
 );
INSERT INTO geeksforgeeks (user_id, name, problems_solved, coding_score, email)
VALUES
    (101, 'Vishu', 20, 100, 'example1@gamil.com'),
    (102, 'Sumit', 19, 99, NULL),
    (103, 'Neeraj', 18, 98, 'example2@gamil.com'),
    (104, 'Aayush', 17, 97, NULL),
    (105, 'Harsh', 16, NULL, 'example3@gamil.com'),
    (106, 'Rahul', 15, NULL, 'example4@gamil.com'),
    (107, 'Vivek', 14, 90, NULL);
SELECT* FROM geeksforgeeks;

Output:

example3@gamil.com

To filter rows where the email column contains NULL, use the IS NULL operator in a WHERE clause:

Query:

SELECT * 
FROM students
WHERE email IS NULL;

We can use the IS NULL operator with multiple columns. For instance, to filter rows where either email or coding_score is NULL, use the OR operator:

Query:

SELECT * 
FROM students
WHERE email IS NULL OR coding_score IS NULL;

Output:

The COUNT() function can be used to count the number of NULL values in a column. For example, to count how many rows have a NULL value in the coding_score column

SELECT COUNT(*) AS count_empty_coding_score
FROM students
WHERE coding_score IS NULL;

Output:

We can clearly see in our table that we have 2 rows that have NULL values in their coding score column i.e. user_id: 105,106.

We can update NULL values using the IS NULL operator in an UPDATE statement. For example, let's set a default email for all users with a NULL value in the email column

Query:

UPDATE students
SET email = 'default@gmail.com'
WHERE email IS NULL;

Output:

As we can see user_id's: 102, 104, and 107 previously contain NULL values in their emails column but now they have a default value i.e. "default@gmail.com".

We can also use the IS NULL operator to delete rows where a column contains NULL values. For example, to delete rows where coding_score is NULL

Query:

DELETE FROM students
WHERE coding_score IS NULL;

Output:

We can notice clearly that all those rows deleted have a null value in their coding score column.

• SQl IS NULL is used to detect any rows that contain a NULL value in its column.
• IS NULL operator is mostly used with WHERE clause in SQL.
• We can use IS NULL operator on multiple columns using OR operator.
• Using COUNT function we can count total number of NULL values in SQL.
• We can UPDATE or DELETE the NULL values, after filtering them with IS NULL operator.

The SQL IS NULL operator is essential for handling missing data in SQL queries. Whether you're filtering results, counting missing values, or updating/cleaning data, understanding how to use IS NULL effectively is crucial for working with databases. By mastering this operator, you can write more precise and efficient SQL queries, especially when dealing with incomplete or sparse data.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4