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  1. The SQL CASE Expression. The CASE expression 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 ELSE clause.

    • SQL CASE Keyword

      The CASE command is used is to create different output based...

    • SQL Examples

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  2. 7 sty 2013 · Using a SELECT statement with a searched CASE expression. Within a SELECT statement, the searched CASE expression allows for values to be replaced in the result set based on comparison values. The following example displays the list price as a text comment based on the price range for a product.

  3. The SQL CASE statement is a powerful tool that allows you to perform conditional logic in your SQL queries. The statement is used to evaluate a condition or set of conditions and return a value based on the result of that evaluation.

  4. The CASE command is used is to create different output based on conditions. The following SQL goes through several conditions and returns a value when the specified condition is met: Example. SELECT OrderID, Quantity, CASE. WHEN Quantity > 30 THEN "The quantity is greater than 30" WHEN Quantity = 30 THEN "The quantity is 30"

  5. 26 cze 2023 · The SQL CASE statement specifies a conditional expression to perform different actions depending on the input expression value. The syntax for the CASE statement in a SQL database is: CASE expression. WHEN value1 THEN result1. WHEN value2 THEN result2. ... WHEN valueN THEN resultN. ELSE defaultValue. END.

  6. www.w3schools.com › sqL › sql_examplesSQL Examples - W3Schools

    Kickstart your career. Get certified by completing the SQL course. Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.

  7. The SQL CASE statement evaluates a list of conditions and adds a column with values based on the condition. For example, -- add a new column 'order_volume' in the Orders table -- and flag any order greater than 10000 as 'Large Order' -- and smaller than 10000 as 'Small Order' SELECT *,

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