The ROLLUP and CUBE operators are used to return results aggregated by the columns in the GROUP BY clause. The GROUPING and GROUPING_ID functions are used to identify whether the columns in the GROUP BY list are aggregated (using the ROLLUP or CUBE operators) or not. There are two major differences between the GROUPING and GROUPING_ID Functions. They are as follows: The GROUPING function is applicable on a single column, whereas the column list for the GROUPING_ID function has to match the column list in the GROUP BY clause. The GROUPING function indicates whether a column in the GROUP BY list is aggregated or not. It returns 1 if the result set is aggregated, and 0 if the result set is not aggregated. On the other hand, the GROUPING_ID function also returns an integer. However, it performs the binary to decimal conversion after concatenating the outcome of all of the GROUPING functions. In this article, we will see the GROUPING and GROUPING_ID functions in action with the help of examples.
I guess you came to this post by searching similar kind of issues in any of the search engine and hope that this resolved your problem. If you find this tips useful, just drop a line below and share the link to others and who knows they might find it useful too.
Stay tuned to my blog, twitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.
Stay tuned to my blog, twitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.
This article is related to
SQL Server,sql,sql server,t-sql
SQL Server,sql,sql server,t-sql
0 Comments