![]() The 2nd CASE syntax is ideal for testing discrete values against two or more conditions. Here is the complete CASE statement and query for MySQL: Since the statements are generic in nature, you may have to modify it slightly to suit your particular database type. You can use the Tab key to move from one to the next. In fact, you'll find the CASE statement at the top of the Flow Control list:Īfter you place the code snippet into the editor, editable sections are color coded to help identify them. Although you can create your own, Navicat comes with many standard SQL statements, including DDL and flow control statements. To help with the CASE statement, Navicat provides Code Snippets that you can simply drag & and drop into the SQL editor. We'll add a column that splits rental prices into three categories: "discount", "regular", and "premium". Here's a query that selects a list of movie titles, along with their release year and rental price: It's also compatible with many cloud databases like Amazon RDS, Amazon Aurora, Amazon Redshift, Microsoft Azure, Oracle Cloud, Google Cloud and MongoDB Atlas. ![]() It's a powerful database development and administration tool that can simultaneously connect to most popular databases, including MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases. To try out the CASE statement, we'll be writing some queries against the Sakila Sample Database using Navicat Premium. If no comparison is true, the result after ELSE is returned, or NULL if there is no ELSE part: The second CASE syntax returns the result for the first value=compare_value comparison that is true. If no condition is true, the result after ELSE is returned, or NULL if there is no ELSE part: The CASE statement comes in two flavors: the first evaluates one or more conditions and returns the result for the first condition that is true. As we'll see in today's blog, it can be used to test for conditions as well as discrete values. So, once a condition is true, it will short circuit, thereby ignoring later clauses, and return the result. ![]() The CASE statement goes through conditions and returns a value when the first condition is met. Keep in mind that in SQL zero is treated as false in binary context, or rather in boolean context, and any non-zero value is treated as true.CASE is a Control Flow statement that acts a lot like an IF-THEN-ELSE statement to choose a value based on the data. So here we have our table and you'll notice we have one row with two values, A is a one and B is a zero. I always start these things with a drop table if exists just in case there's a table leftover from before or something like that. You'll notice we get a little warning because the table didn't exist. I'm going to shift and execute here and we'll go ahead and close this bottom pane. For this example we're going to use the scratch database, we're going to create a little table, the table has two columns, both of them integers named A and B and we're going to insert a couple of values into that table in one row and here we'll select so we can see what happens. The syntax is a little cumbersome, but here's how it works. My SQL supports a form of the standard SQL conditional expression syntax. ![]()
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