Group Functions in Query Statements in SQL Server

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Q

What Are Group Functions in Query Statements in SQL Server?

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A

Group functions are functions applied to a group of rows. Examples of group functions are:

COUNT(*) - Returns the number of rows in the group.
MIN(exp) - Returns the minimum value of the expression evaluated on each row of the group.
MAX(exp) - Returns the maximum value of the expression evaluated on each row of the group.
AVG(exp) - Returns the average value of the expression evaluated on each row of the group.
SUM(exp) - Returns the sum value of the expression evaluated on each row of the group.
COUNTDISTINCT(exp) - Returns the number of distinct values of the expression evaluated on each row of the group.

⇒ Using Group Functions in the SELECT Clause in SQL Server

⇐ Filtering Out Duplications in the Returning Rows in SQL Server

⇑ Using SELECT Statements and GROUP BY Clauses in SQL Server

⇑⇑ SQL Server Database Tutorials

2016-10-25, 2871🔥, 0💬

Counting Rows with the COUNT(*) Function in SQL Server
How To Count Rows with the COUNT(*) Function in SQL Server? If you want to count the number of rows, you can use the COUNT(*) function in the SELECT clause. The following tutorial exercise shows you some good examples: SELECT COUNT(*) FROM fyi_links GO 7 SELECT COUNT(*) FROM fyi_links WHERE url LIKE... 2016-10-26, 5584🔥, 0💬

How To Count Duplicated Values in a Column? in SQL Server
How To Count Duplicated Values in a Column in SQL Server? If you have a column with duplicated values, and you want to know what are those duplicated values are and how many duplicates are there for each of those values, you can use the "GROUP BY ... HAVING" clause as shown in the following example.... 2016-10-25, 4325🔥, 0💬

Using SELECT Statements on Views in SQL Server
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Mixing Group Functions with Non-group Selection Fields in SQL Server
Can Group Functions Be Mixed with Non-group Selection Fields in SQL Server? If a group function is used in the SELECT clause, all other selection fields must be group level fields. Non-group fields can not be mixed with group fields in the SELECT clause. The script below gives you an example of inva... 2016-10-25, 3308🔥, 0💬

Sorting Query Output in Descending Order in SQL Server
How To Sort Query Output in Descending Order in SQL Server? If you want to sort a column in descending order, you can specify the DESC keyword in the ORDER BY clause. The following SELECT statement first sorts the "tag" in descending order, then sorts the "counts" in ascending order: SELECT tag, cou... 2016-10-26, 2923🔥, 0💬

Group Functions in Query Statements in SQL Server
What Are Group Functions in Query Statements in SQL Server? Group functions are functions applied to a group of rows. Examples of group functions are: COUNT(*) - Returns the number of rows in the group. MIN(exp) - Returns the minimum value of the expression evaluated on each row of the group. MAX(ex... 2016-10-25, 2872🔥, 0💬

Sorting Query Output by Multiple Columns in SQL Server
Can the Query Output Be Sorted by Multiple Columns in SQL Server? You can specifying multiple columns in the ORDER BY clause as shown in the following example statement, which returns rows sorted by "tag" and "counts" values: SELECT tag, counts, url, created FROM fyi_links ORDER BY tag, counts GO ta... 2016-10-26, 2852🔥, 0💬

HAVING - Apply Filtering Criteria at Group Level in SQL Server
How To Apply Filtering Criteria at Group Level with The HAVING Clause in SQL Server? Let's say you have divided the query output into multiple groups with the GROUP BY clause. Now you are only interested in some of the groups, not all the groups. If you want to filter out some groups from the query,... 2016-10-25, 2845🔥, 0💬

Using Group Functions in the SELECT Clause in SQL Server
How To Use Group Functions in the SELECT Clause in SQL Server? If group functions are used in the SELECT clause, all rows that meet the criteria defined in the WHERE clause will be treated as a single group. The group functions will be apply all rows in that group as a whole. The final output of the... 2016-10-25, 2823🔥, 0💬

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