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SELECT CASE WHEN ColB = 'March' THEN (Select ColA FROM tablename WHERE ColB = 'January') END FROM tablename Or can be done without a CASE would be SELECT (SELECT colA FROM tablename WHERE colB = 'January') FROM tablename WHERE colB = 'March'
15 wrz 2008 · From SQL Server 2012 you can use the IIF function for this. SELECT IIF(Obsolete = 'N' OR InStock = 'Y', 1, 0) AS Salable, * FROM Product This is effectively just a shorthand (albeit not standard SQL) way of writing CASE. I prefer the conciseness when compared with the expanded CASE version.
28 maj 2024 · Syntax. Let’s look at the syntax for a CASE statement: SELECT column1, column2, CASE WHEN condition1 THEN result1. WHEN condition2 THEN result2. ELSE result_default. END AS alias_name. FROM table_name; Copy. Here, we use a SELECT and FROM query to select multiple columns from a table and use a CASE statement to evaluate conditions. 2.2.
23 sie 2024 · Here is the basic syntax of a Multiple CASE WHEN statement: SELECTcolumn1,column2,CASEWHENcondition1THENresult1WHENcondition2THENresult2...ELSEdefault_resultENDASnew_columnFROMyour_table; This construct proves invaluable in handling scenarios where more than one condition needs consideration.
7 gru 2023 · If you want to do if-else-then logic in select, where or anywhere else in a statement, you need a case expression. This is a series of when clauses that the database runs in order: For example, if you want to map exam correct percentages to grade letters according to these rules:
2 cze 2023 · The CASE statement allows you to perform an IF-THEN-ELSE check within an SQL statement. It’s good for displaying a value in the SELECT query based on logic that you have defined. As the data for columns can vary from row to row, using a CASE SQL expression can help make your data more readable and useful to the user or to the application.
If column X = 1 AND Y = 0 return one result, if X = 0 and Y = 1 return one result, if X = 1 AND Y = 1 then return two results. I want to write a query that will generate two row results for a single row based on the above rule. How can this be done with a SQL query?
