CASE WHEN is like an IF statement in a programming language. It is useful when we need to calculate a statistic on a certain subset of the data. In the image above, I calculate an average price for products sold
[NW Region] --Uncomment the line below to get an average by Reseller Gross Profit Margin --otherwise the average will be by whatever the default measure is in the cube, --or whatever measure is specified in the query --, [Measures].[Reseller Gross Profit Margin] ) SELECT [Date].[...
Instructs the Query Optimizer to use the average selectivity of the predicate across all column values, instead of using the runtime parameter value when the query is compiled and optimized. If you use OPTIMIZE FOR @variable_name = <literal_constant> and OPTIMIZE FOR UNKNOWN in the...
For example, the following statement finds the names of all products whose list price is greater than the average list price. SQL نسخ USE AdventureWorks2022; GO SELECT [Name] FROM Production.Product WHERE ListPrice > (SELECT AVG (ListPrice) FROM Production.Product); GO Because ...
the first query is the most optimal also it has compact code and is a good choice for calculating the maximum from the columns of the same data type. And not only the maximum or minimum: we can modify the code to find average, sum, etc. from a group of columns of the same data ty...
Multicolumn indexes are very useful, however, when filtering by multiple columns. This can be seen by the following: Create standard index: CREATE INDEX standard_index_vehicle_year ON traffic_data(year); Create multicolumn index: CREATE INDEX mult_col_idx_vehicle ON traffic_data(year, make,...
These include the number of rows, number of blocks, and average row length. Column statistics These include the number of distinct values and nulls in a column and the distribution of data. Index statistics These include the number of leaf blocks and index levels. ...
includes ahistogramdisplaying the distribution of values in the first column. Statistics objects on multiple columns also store statistical information about the correlation of values among the columns. These correlation statistics, ordensities, are derived from the number of distinct rows of column ...
You can specify multiple columns in a GROUP BY clause. For example, the following query includes the city and description columns from the employee table in a GROUP BY clause: SQL> -- create demo table SQL> create table Employee( 2 ID VARCHAR2(4 BYTE) NOT NULL, 3 First_Name VARCHAR2(...
Calculating Average between two datetime columns Calculating the RATE as the similar financial function in Excel - SQL Server 2014-2016 Call a webservice from TSQL (Stored Procedure) Call function from view Call function on Linked server Call getdate from linked server call the multiple .sql files...