![]() WHERE NOT FirstName = 'Homer' NULL Values Of course, this itself could be negated with the NOT operator, which would then give us the same result that the not equal to ( !=) operator gives us: SELECT * In this case, you’re better off just using the equals ( =) operator, like this: SELECT * If you use the NOT operator to negate the condition provided by the not equal to operator, you’ll end up getting the results of the equals ( =) operator: SELECT * If you don’t do this, you may find that you get unexpected results, due to the conditions being evaluated in an order that you didn’t intend. Once you start using more conditions, you should use parentheses to surround the conditions that you want to be evaluated first. If you have multiple conditions, you can use multiple operators (whether both the same operators or different). For example, if we wanted to get information about all owners whose first name is not Homer, we could do the following: SELECT * When comparing with a string value, use quotes around the string. The query returns all owners except owner number 3. Our query uses the not equal to operator ( !=) to test whether the OwnerId column is not equal to 3. If we wanted to return a list of all owners that do not have an OwnerId of 3, we could do this: SELECT * | OwnerId | FirstName | LastName | Phone | Email | This is the table we will use for the examples on this page. Imagine our database contains the following table. Which one you use may depend on your DBMS, which one you’re the most comfortable using, and perhaps also whether your organisation has any coding conventions that dictate which one should be used. ![]() SQL also has another not equal to operator ( ), which does the same thing. If either or both operands are NULL, NULL is returned. ![]() That is, it tests whether one expression is not equal to another expression. I am always interested in new challenges so if you need consulting help, reach me at all posts by Rajendra GuptaIn SQL, the not equal to operator ( !=) compares the non-equality of two expressions. I am the creator of one of the biggest free online collections of articles on a single topic, with his 50-part series on SQL Server Always On Availability Groups.īased on my contribution to the SQL Server community, I have been recognized as the prestigious Best Author of the Year continuously in 2019, 2020, and 2021 (2nd Rank) at SQLShack and the MSSQLTIPS champions award in 2020. I published more than 650 technical articles on MSSQLTips, SQLShack, Quest, CodingSight, and SeveralNines. I am the author of the book " DP-300 Administering Relational Database on Microsoft Azure". Hi! I am Rajendra Gupta, Database Specialist and Architect, helping organizations implement Microsoft SQL Server, Azure, Couchbase, AWS solutions fast and efficiently, fix related issues, and Performance Tuning with over 14 years of experience. Let’s set up a sample table to explore SQL Not Equal operator. You should use operator as it follows the ISO standard. The only difference is that ‘’ is in line with the ISO standard while ‘!=’ does not follow ISO standard. We can use both SQL Not Equal operators and != to do inequality test between two expressions. For example, 1011 comparison operation uses SQL Not Equal operator () between two expressions 10 and 11.ĭifference between SQL Not Equal Operator and != We use SQL Not Equal comparison operator () to compare two expressions. In this article, we will explore both operators and differences in these as well. We can have the following comparison operators in SQL. The total number of articles written by Rajendra > (Greater than) the total number of articles written by Raj. Suppose Raj wrote 85 articles while Rajendra wrote 100 articles. For example, we might compare the performance of two authors based on a number of articles. We use these operators to compare different values based on the conditions. We must have used comparison operators in mathematics in the early days. This article explores the SQL Not Equal comparison operator () along with its usage scenarios.
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