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Union and union all in sql server Part 17 Video Lecture | SQL Server Administration: Basic Tutorials - Database Management

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FAQs on Union and union all in sql server Part 17 Video Lecture - SQL Server Administration: Basic Tutorials - Database Management

1. What is the difference between UNION and UNION ALL in SQL Server?
Ans. UNION and UNION ALL are used to combine the result sets of two or more SELECT statements in SQL Server. The main difference between them is that UNION removes duplicate rows, while UNION ALL does not. UNION ALL simply appends the result sets together, including any duplicate rows.
2. Can the column data types of the SELECT statements differ when using UNION or UNION ALL?
Ans. No, the column data types of the corresponding columns in the SELECT statements must be the same when using UNION or UNION ALL. If the data types do not match, you will receive an error. It is important to ensure that the data types are compatible to successfully use UNION or UNION ALL.
3. Is there a performance difference between UNION and UNION ALL in SQL Server?
Ans. Yes, there is a performance difference between UNION and UNION ALL. UNION incurs the additional overhead of removing duplicate rows, which can impact the performance. On the other hand, UNION ALL simply concatenates the result sets without any duplicate removal, making it faster than UNION in most cases.
4. Can UNION or UNION ALL be used with more than two SELECT statements?
Ans. Yes, both UNION and UNION ALL can be used with more than two SELECT statements. You can combine the result sets of multiple SELECT statements by using either UNION or UNION ALL, depending on whether you want to remove duplicates or not. The number of SELECT statements is not limited when using UNION or UNION ALL.
5. Are the column names of the result set determined by the first SELECT statement when using UNION or UNION ALL?
Ans. Yes, the column names of the result set are determined by the column names specified in the first SELECT statement when using UNION or UNION ALL. It is important to ensure that the column names in all SELECT statements match the column names in the first SELECT statement to avoid any errors.
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