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If you know the values to always be the same, then one simple (although not necessarily optimized) solution is to wrap your original GROUP BY query in another query (making the original a subquery) and then use the SUM function in the outer query, without a GROUP BY clause.
Using having without group by. You can also use the having clause with the Transact-SQL extension that allows you to omit the group by clause from a query that includes an aggregate in its select list. These scalar aggregate functions calculate values for the table as a single group, not for groups within the table.
Introduction to the Oracle HAVING clause The HAVING clause is an optional clause of the SELECT statement. If you use the HAVING clause without the GROUP BY clause, the HAVING clause works like the WHERE clause. Note that the HAVING clause filters groups of rows while the WHERE clause filters rows.
In short if both WHERE and HAVING clause is used in a SELECT query with aggregate function or GROUP BY clause, it will execute before HAVING clause.
We are also able to use a windowing function with the COUNT function within a select statement so that we can use count in SQL without needing a group by clause. The above select statement will of course fail as we have not included a group by and the COUNT function is an aggregate function.
The GROUP BY clause instructs the DBMS to group the data and then perform the aggregate (function) on each group rather than on the entire result set. Aside from the aggregate calculation statements, every column in your SELECT statement must be present in the GROUP BY clause.
Yes you can use an aggregate without GROUP BY: SELECT SUM(col) FROM TBL. This will return one row only — the sum of the column “col” for all rows in TBL (excluding nulls). You omit columns from the SELECT inside aggregate functions, all other columns should exist in GROUP BY clause separated by comma.
You can use the GROUP BY clause without applying an aggregate function. The following query gets data from the payment table and groups the result by customer ID. In this case, the GROUP BY works like the DISTINCT clause that removes duplicate rows from the result set.
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