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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.
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.
23 lis 2012 · select if(column_name = "value", "value_1", "value_2") as column_name from table_name; or. select (case when column_name = "value" then 'value_1' else 'value_2' end) as column_name from table_name;
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:
30 paź 2023 · The IIF function provides a straightforward way to implement SQL if statement in SELECT. It is concise and allows for immediate evaluation of a condition, returning values based on whether the condition is true or false, thus embedding simple conditional logic directly within queries for immediate evaluation and results.
7 mar 2022 · Introduction. 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 · Step 1: Basic Syntax. 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.:
