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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' See example of second running here
20 sty 2009 · SELECT * FROM Users WHERE RegistrationDate >= '1/20/2009'. it will automatically convert the string '1/20/2009' into the DateTime format for a date of 1/20/2009 00:00:00. So by using >= you should get every user whose registration date is 1/20/2009 or more recent.
28 maj 2024 · In this article, we explored different options for executing IF-THEN logic in a SQL SELECT statement. These options include using CASE , IIF() , and CHOOSE() . Furthermore, if we want a query that’s used in almost every dialect, we must choose the CASE statement.
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.
16 sty 2024 · SELECT column_name, CASE WHEN condition THEN result ELSE alternative_result END AS new_column FROM your_table; Let's break down the conditions: WHEN condition THEN result: Defines the primary condition to be checked and the corresponding result to be assigned if the condition is met.
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.
26 wrz 2023 · The IF...THEN statement in SQL is often used in conjunction with the CASE expression. The basic syntax goes like this: SELECT . column1, column2, ... CASE WHEN condition1 THEN result1. WHEN condition2 THEN result2. ... ELSE else_result. END AS alias_name. FROM . your_table; column1, column2, etc.:
