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MySQL NULLIF()

By Aanchal SharmaAanchal Sharma

MySQL NULLIF()

Introduction to MySQL NULLIF() Function

MySQL NULLIF() function is defined as a part of flow control MySQL function which is responsible to compare two expressions, that it accepts as arguments to execute the query. Generally, NULLIF() is helpful to avoid the division by zero faults that may occur in MySQL statement during implementation. The MySQL NULLIF() function takes two expressional parameters and performs the comparison similar to CASE statement.If both the expressions passed are equal on execution then, the result will be NULL otherwise the function returns the initial expression as output value if the condition fails. The NULLIF() accepts the expressions as arguments and compares them to return NULLif they are equivalent logically.

Syntax

Here is the elementary syntax code to apply the NULLIF() function in MySQL:

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NULLIF(Expr_1, Expr_2)

The arguments provided above for the function NULLIF() are required terminologies command code to be matched where Expr_1 denotes the first expression and Expr_2 is the second expression for the NULLIF() function in MySQL.

The return value of the NULLIF() function is NULL when both terms are equivalent else, it will display the first parameter specified in the function.

Also, NULLIF() can be explained as identical one to CASE statement which generates the following expression query:

CASE WHEN Expr_1 = Expr_2
THEN NULL
ELSE EXPR_1
END;

Explanation: We should be aware not to get confused with the MySQL NULLIF() function is the same as the IFNULL() function because both functions are slightly different. We use the SELECT statement together with NULLIF() function while writing the query command in MySQL.

How MySQL NULLIF() Function work?

To understand how the MySQL NULLIF() function works:

Step 1:

SELECT NULLIF(2,2);

MySQL NULLIF()1

Explanation: NULLIF(2,2) results NULL as 2 = 2

Step 2:

SELECT NULLIF(3,1);

MySQL NULLIF()2

Explanation: NULLIF(3,1) results in 3 that is the first argument as 3 is not equal to 1

Step 3:

SELECT NULLIF('Education', 'Education');

MySQL NULLIF()3

Explanation: NULLIF(‘Education’, ‘Education’) results NULL as both the expressional string values are same

Step 4:

SELECT NULLIF('Education', 'Educate');

MySQL NULLIF()4

Explanation: NULLIF(‘Education’, ‘Educate’) results in Education as the expressional string values are not identical

Step 5:

SELECT NULLIF(2,NULL);

MySQL NULLIF()5

Explanation: NULLIF(2, NULL) results in 2 as both the expressions are not similar

Step 6:

SELECT NULLIF(NULL,3);

expressions are not similar

Explanation: NULLIF(NULL,3) results NULL as it is the first expressional term and as NULL and 3 are not equal

Examples to Implement NULLIF() function in MySQL

Below are some example of NULLIF() function:

1. Using NULLIF() function with Table Column values in the Database

Let us suppose table by the name ‘Employees’to be created to implement some examples using the table records with NULLIF() function in MYSQL. For this we will write code and then execute on the database having field names and data types:

CREATE TABLE Employees (EmpID INT PRIMARY KEY AUTO_INCREMENT, EmpNameVarchar(255) NOT NULL, EmpProfileVarchar(255) NOT NULL, EmpSalary INT NOT NULL, EmpPF INT);

Also, we need to input some records in the table to perform the NULLIF() query command completion within the field data. Let us query the following statements to process some entries into the Employees table:

Code:

INSERT INTO Employees(EmpID, EmpName,EmpProfile,mpSalary,EmpPF)
VALUES('210', 'Radha ', 'Engineer ', '50000 ', '3600 ');
INSERT INTO Employees (EmpID, EmpName,EmpProfile,mpSalary,EmpPF)
VALUES('211', 'Mohan ', 'Manager ', '40000 ', '2000 ');
INSERT INTO Employees (EmpID, EmpName,EmpProfile,mpSalary,EmpPF)
VALUES('212', 'Dev ', 'Executive ', '32000 ', '1800 ');
INSERT INTO Employees (EmpID, EmpName,EmpProfile,mpSalary,EmpPF)
VALUES('213', 'Madhuri ', 'Blogger ', '20000 ', '');
INSERT INTO Employees (EmpID, EmpName,EmpProfile,mpSalary,EmpPF)
VALUES('214', 'Rita ', 'Pilot ', '48000', '5000 ');

After running these queries, the values will be inserted as rows in the table Employees. We can display the records from the table Employees using the below command in the MySQL:

Output:

records

It will provide the above details filled in the table as a view of the table.

Now, we will use the NULLIF() function on the column values to check the expressions passed as arguments to the function and compare them to provide the desired result and explain the usage of NULLIF() function with the database rows.

We have written the following query to represent the NULLIF() function in a query:

Code:

SELECT EmpName, EmpProfile, EmpSalary,
NULLIF(EmpProfile, 'Engineer') NULLIF_Result FROM Employees;

Output:

usage

Explanation: When we run the above query, it will execute successfully and then, will return the result as shown in the screenshot overhead. The result of the MySQL NULLIF() function checks the column value of EmpProfile as the first argument with the second argument set as Engineer. When the comparison starts on query execution, the Employee profile values are matched against the Engineer value respectively and generates the result as NULL if the values are equivalent otherwise returns the column value if the match does not occur as the NULLIF() function returns first parameter value in the output if the function arguments are not equal. Take to be noted that MySQL will evaluate the first expression value twice with the second one if the matching of the two parameters does not show the valid results or if they are not equivalent.

2. Using NULLIF() function to avoid division by zero error

In a MySQL query, we often practice the use of the NULLIF() function to stop the division by zero faults. If your MySQL server has enabled ERROR_FOR_DIVISION_BY_ZERO mode, then when a division by zero happens it will give an error at execution.

Consider the SQL statement below to show the error occurs:

SELECT  1/0;

As you can see that the query produces an error. For this, we need to use NULLIF() function to remove this division by zero error. The updated query is as follows:

Code:

SELECT 1/NULLIF(0,0);

Output:

avoid division by zero error

Explanation: This is because the NULLIF() function will return NULL value as (0 = 0) zero is equivalent to zero provided in the arguments which will result in NULL and then 1 is divided b NULL, therefore the result of the query above will also be NULL.

Conclusion

With NULLIF() function we got introduced to a MySQL flow control function that is very handy in cases where we require to prevent division by zero error in the respective queries that are executed on the server. The function takes two parameters and after comparing the expressions it provides the results, if the terms are equal then NULL else shows the first term as an output on execution.

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