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  1. 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' See example of second running here

  2. 15 wrz 2008 · Once you figure out how it works, you can convert three results to two results by deciding the behavior of null. E.g. this would treat null as not saleable: SELECT CASE WHEN obsolete = 'N' OR instock = 'Y' THEN 'true' ELSE 'false' -- either false or null END AS saleable. Share.

  3. 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.

  4. 30 paź 2023 · WHERE (Department = 'IT' AND Salary > 60000) OR (Department = 'HR' AND Salary <= 60000); This query utilizes the WHERE clause with AND/OR operators as an SQL if statement in SELECT to combine multiple conditions, allowing the retrieval of specific records based on complex conditional logic. sql.

  5. 24 lip 2019 · If you are using SQL Server 2016 or above and you want to use a string of separated values as input, you can use the table valued function STRING_SPLIT(). This function splits a string into rows based on a specified separator and returns the data in a table. For example:

  6. The CASEexpression goes through conditions and returns a value when the first condition is met (like an if-then-else statement). So, once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the ELSEclause.

  7. 7 mar 2022 · In some cases, you might want to choose the output value based on column values directly in your SQL statement. In this article, we will explain how to use the CASE expression in SELECT SQL statements. We will also explain how to use an alternative approach with an IF clause for MySQL.