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      IS NOT NULL Operator

      MySQL Tutorial

      This SQL tutorial is structured for beginners to guide them from the foundational concepts to advanced data manipulation and querying techniques in SQL. By the end of this tutorial, you will have developed a robust understanding of SQL, equipping you with the knowledge to efficiently manage and analyze data across various database systems. This guide sets the stage for your growth into a skilled data professional, ready to tackle complex data challenges and contribute to the field of data analysis and database management.

      IS NOT NULL Operator

      A NULL value in a MySQL table indicates a missing or unknown value. It appears to be blank and does not contain any data. This is different from zero values.
      It is very important to understand that a NULL value is different than a zero value or a field that contains spaces. To check for NULL values in a table column, we can use two basic operators:
      • IS NULL
      • IS NOT NULL

      MySQL IS NOT NULL Operator

      The MySQL IS NOT NULL operator is used to verify whether a particular column has a non-null value or not. This operator can be used with SQL statements such as SELECT, UPDATE, and DELETE.
      By using the IS NOT NULL operator in a conditional clause, we can only fetch the records that contain valid data in a particular column.

      Syntax

      Following is the syntax of IS NOT NULL in MySQL
      SELECT column_name1, column_name2, ...
      FROM table_name
      WHERE column_name IS NOT NULL;

      Example

      Firstly, let us create a table named CUSTOMERS using the following query
      CREATE TABLE CUSTOMERS (
      ID INT NOT NULL,
      NAME VARCHAR (20) NOT NULL,
      AGE INT,
      ADDRESS CHAR (25),
      SALARY DECIMAL (18, 2),
      PRIMARY KEY (ID)
      );
      In the following query, we are using the INSERT statement to insert values to the table
      INSERT INTO CUSTOMERS VALUES
      (1, 'Ramesh', 32, 'Ahmedabad', NULL),
      (2, 'Khilan', 25, 'Delhi', 1500.00),
      (3, 'Kaushik', NULL, 'Kota', 2000.00),
      (4, 'Chaitali', 25, 'Mumbai', NULL),
      (5, 'Hardik', 27, 'Bhopal', 8500.00),
      (6, 'Komal', NULL, 'Hyderabad', 4500.00),
      (7, 'Muffy', 24, 'Indore', 10000.00);
      The table is created as follows
      ID
      NAME
      AGE
      ADDRESS
      SALARY
      1
      Ramesh
      32
      Ahmedabad
      NULL
      2
      Khilan
      25
      Delhi
      1500.00
      3
      Kaushik
      NULL
      Kota
      2000.00
      4
      Chaitali
      25
      Mumbai
      NULL
      5
      Hardik
      27
      Bhopal
      8500.00
      6
      Komal
      NULL
      Hyderabad
      4500.00
      7
      Muffy
      24
      Indore
      10000.00

      Example

      In the following query, we are going to return all the records from the CUSTOMERS table where the AGE is not NULL.
      SELECT * FROM CUSTOMERS
      WHERE AGE IS NOT NULL;

      Output

      Following output is produced
      ID
      NAME
      AGE
      ADDRESS
      SALARY
      1
      Ramesh
      32
      Ahmedabad
      NULL
      2
      Khilan
      25
      Delhi
      1500.00
      4
      Chaitali
      25
      Mumbai
      NULL
      5
      Hardik
      27
      Bhopal
      8500.00
      7
      Muffy
      24
      Indore
      10000.00

      IS NOT NULL with COUNT() function

      We can use the IS NOT NULL operator along with the MySQL COUNT() function to count only the non-null values in a specific column(s).

      Syntax

      Following is the syntax of the IS NOT NULL with COUNT() function in MySQL
      SELECT COUNT(column_name1, column_name2, ...)
      FROM table_name
      WHERE condition IS NOT NULL;

      Example

      The following query returns the count of all rows in the CUSTOMERS table where the ADDRESS column is not NULL.
      SELECT COUNT(*) FROM CUSTOMERS
      WHERE ADDRESS IS NOT NULL;

      Output

      On executing the above query, it will generate an output as shown below
      COUNT(*)
      5

      IS NOT NULL with UPDATE statement

      In MySQL, we can update all the non-null rows in a specific column(s) using the UPDATE statement with IS NOT NULL operator.

      Syntax

      Following is the syntax of the IS NOT NULL operator with the UPDATE statement in MySQL
      UPDATE table_name
      SET column1 = value1, column2 = value2, ...
      WHERE columnname1, columnname2, ... IS NOT NULL;

      Example

      In the following query, we will update the SALARY column to a value of 9000 for all records where the SALARY column is not NULL
      UPDATE CUSTOMERS
      SET SALARY = 20000
      WHERE SALARY IS NOT NULL;

      Verification

      To check whether the table has been updated or not, execute the SELECT query to display the CUSTOMERS table.
      ID
      NAME
      AGE
      ADDRESS
      SALARY
      1
      Ramesh
      32
      Ahmedabad
      NULL
      2
      Khilan
      25
      Delhi
      20000.00
      3
      Kaushik
      NULL
      Kota
      20000.00
      4
      Chaitali
      25
      Mumbai
      NULL
      5
      Hardik
      27
      Bhopal
      20000.00
      6
      Komal
      NULL
      Hyderabad
      20000.00
      7
      Muffy
      24
      Indore
      20000.00

      IS NOT NULL with DELETE statement

      In MySQL, we can delete all the non-null rows in a specific column(s) using the DELETE statement with IS NOT NULL operator.

      Syntax

      Following is the syntax of the IS NOT NULL operator with the DELETE statement in MySQL
      DELETE FROM table_name
      WHERE columnname1, columnname2, ... IS NOT NULL;

      Example

      In the following query, we are trying to delete records which are not null in the AGE column of CUSTOMERS table.
      DELETE FROM CUSTOMERS
      WHERE AGE IS NOT NULL;

      Verification

      To verify whether the table has been updated or not, display the table using a SELECT query.
      ID
      NAME
      AGE
      ADDRESS
      SALARY
      3
      Kaushik
      NULL
      Kota
      20000.00
      6
      Komal
      NULL
      Hyderabad
      20000.00

      IS NOT NULL Operator Using Client Program

      In addition to executing the IS NOT NULL Operator on a MySQL Server using SQL query, we can also execute it using a client program.

      Syntax

      Following are the syntaxes of the IS NOT NULL Operator in MySQL table in various programming languages
      PHPNodeJSJavaPython
      To execute the IS NOT NULL Operator in MySQL through a PHP program, we need to execute the SQL query with IS NOT NULL operator using the mysqli function named query() as
      $sql = "SELECT column_name1, column_name2, ... FROM table_name
      WHERE column_name IS NOT NULL";
      $mysqli->query($sql);

      Example

      Following are the implementations of this operation in various programming languages
      PHPNodeJSJavaPython
      $dbhost = 'localhost';
      $dbuser = 'root';
      $dbpass = 'password';
      $dbname = 'TUTORIALS';
      $mysqli = new mysqli($dbhost, $dbuser, $dbpass, $dbname);
      if($mysqli->connect_errno ) {
      printf("Connect failed: %s", $mysqli->connect_error);
      exit();
      }
      //printf('Connected successfully.');
      $sql = "SELECT * FROM CUSTOMERS WHERE AGE IS NOT NULL";
      $result = $mysqli->query($sql);
      if ($result->num_rows > 0) {
      printf("Table records: \n");
      while($row = $result->fetch_assoc()) {
      printf("Id %d, Name: %s, Age: %d, Address %s, Salary %f",
      $row["ID"],
      $row["NAME"],
      $row["AGE"],
      $row["ADDRESS"],
      $row["SALARY"]);
      printf("\n");
      }
      } else {
      printf('No record found.');
      }
      mysqli_free_result($result);
      $mysqli->close();

      Output

      The output obtained is as follows
      Table records:
      Id 1, Name: Ramesh, Age: 32, Address Hyderabad, Salary 0.000000
      Id 2, Name: Khilan, Age: 25, Address , Salary 1500.000000
      Id 4, Name: Chaital, Age: 25, Address Mumbai, Salary 0.000000
      Id 5, Name: Hardik, Age: 27, Address Vishakapatnam, Salary 8500.000000
      Id 7, Name: Muffy, Age: 24, Address , Salary 10000.000000