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NULL functions in SQL | Day 42

Day 42 – Today we will cover all the five types of NULL functions in SQL.
These functions are very useful while you deal with large datasets.

The article has been prepared by Prakash Dwivedy

Let’s start with NULL functions in SQL

ISNULL() : This is used in both MYSQL and SQL Server. In SQL Server this function is used to replace a
null value with a user value. In MySQL if the expression is null this will return 1, if the expression is not
null this will return 0

ex:
ISNULL (argument1,argument2)
returns argument2 if argument1 is NULL otherwise argument1 is
returned

NULL functions in SQL


Statement : 
SELECT SUM (ISNULL (Salary, 1000) AS Salary
FROM Employee;

IFNULL() : This function is used in MYSQL and has the same functionality as ISNULL() used for SQL Server. It takes 2 arguments and returns the first argument if it is not null and returns second argument
if the first argument contains a null value

ex :
IFNULL(argument1,argument2) returns argument2 if argument1 is NULL otherwise argument1 is
returned

IFNULL
Statement :
SELECT SUM (IFNULL (Salary, 1000) AS Salary FROM Employee;

NVL() : This function is used in Oracle and has same feature of ISNULL() and IFNULL() functions used are MySQL and SQL Server respectively. It replaces a null value with another value, and it takes two arguments
ex :
NVL(argument1,argument2) returns argument2 if argument1 is NULL otherwise argument1 is returned

NVL in SQL
Statement :
SELECT SUM (NVL (Salary, 1000) AS Salary
FROM Employee;

NULLIF() : This function is used to compare two arguments. If the two arguments are equal it will return null value, otherwise the first argument is returned
ex :
NULLIF(argument1,argument2) returns null value if argument1=argument2 otherwise argument1 is returned

NULL functions in SQL
Statement:
SELECT NULLIF(Actual, Predicted) AS Values
FROM Store;
SQL Interview questions

Coalesce() : This function is supported by SQL Server. This is also known as shortcut to a case statement. It returns the first not null values.
ex :
coalesce(exp1,exp2,….) returns the value found in exp1 if the value is not NULL; however, if it is NULL, then exp2 is returned

Statement:
SELECT Name, coalesce(Phone1,Phone2) AS Contact
FROM Employee;

You can also practice Interview Questions below

Walmart – https://thedatamonk.com/walmart-data-analyst-questions/
American Express– https://thedatamonk.com/american-express-data-analyst-questions/
Barclays– https://thedatamonk.com/barclays-data-analyst-interview-questions/
Lowes– https://thedatamonk.com/lowes-data-science-interview-questions/
Factspan– https://thedatamonk.com/factspan-interview-questions/
Oracle– https://thedatamonk.com/oracle-data-analyst-interview-questions/
SAP– https://thedatamonk.com/sap-data-science-interview-questions/
Big Basket– https://thedatamonk.com/big-basket-data-analyst-interview-questions/
Swiggy – https://thedatamonk.com/swiggy-data-analyst-interview-questions/
Accenture – https://thedatamonk.com/accenture-business-analyst-interview-question/
Deloitte – https://thedatamonk.com/deloitte-data-scientist-interview-questions/
Amazon – https://thedatamonk.com/amazon-data-science-interview-questions/
Myntra – https://thedatamonk.com/myntra-data-science-interview-questions-2/
Box8 – https://thedatamonk.com/box8-data-analyst-interview-questions-2/ 
Flipkart – https://thedatamonk.com/flipkart-business-analyst-interview-questions/

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Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
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SQL Complete Playlist
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