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Difference between except and not in sql server Video Lecture | SQL Server Administration: Basic Tutorials - Database Management

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FAQs on Difference between except and not in sql server Video Lecture - SQL Server Administration: Basic Tutorials - Database Management

1. What is the difference between the EXCEPT and NOT operators in SQL Server?
Ans. The EXCEPT and NOT operators are used in SQL Server to perform set operations on the result sets of two or more queries. The main difference between them is that the EXCEPT operator returns distinct rows from the left query that are not present in the right query, while the NOT operator returns rows that do not satisfy a specified condition.
2. When should I use the EXCEPT operator in SQL Server?
Ans. You should use the EXCEPT operator in SQL Server when you want to retrieve distinct rows from one query that are not present in another query. This can be useful in scenarios where you need to compare two result sets and identify the differences between them.
3. Can the EXCEPT operator be used to compare result sets with different column names in SQL Server?
Ans. No, the EXCEPT operator in SQL Server requires that the result sets being compared have the same number of columns and compatible data types. If the column names are different, you can use the AS keyword to alias the column names and make them match before using the EXCEPT operator.
4. How does the NOT operator work in SQL Server?
Ans. The NOT operator in SQL Server is a logical operator that is used to negate a condition. It returns true if the condition is false and false if the condition is true. It can be used in WHERE clauses to exclude rows that satisfy a certain condition.
5. Can the NOT operator be used with other operators in SQL Server?
Ans. Yes, the NOT operator can be used in combination with other operators in SQL Server. For example, you can use the NOT operator with the IN operator to exclude rows that match a set of values. You can also use it with the LIKE operator to exclude rows that match a specific pattern.
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