The following is how the SELECT statement would look when used along with the Case function: SELECT CASE The statement can be summed up by the following interpretation: “Begin the Select statement, use the Decode function, search through the DESCRIPTION column, look for a value that matches ‘Peanut Butter’, if ‘Peanut Butter’ is found then override that value to ‘Almond Butter’, else the value being searched for is not found then the Description column will have the original values, display the resulting data for DESCRIPTION in a column named Revised_Menu and then include the PRICE values for the associated table, all of the data being handled is from the table named Smoothie_Tbl, and now end the Select statement.” Note that the description column is being focused on, the first value evaluate is “Peanut Butter” and the next value (for the THEN portion of the statement) is “Almond Butter”, the next value is Description (for the ELSE portion of the statement), Revised_Menu is the new column created for the resulting values to be distributed in, and the Price column is listed so that it will be included along with the newly created column. MENU_ITEMĪ SELECT statement along with the Decode function may be used as follows: SELECT The values being evaluated will be the values for the DESCRIPTION column. The table for the shop is called Smoothie_Tbl and contains columns for menu item number, description, and price. In this scenario, a smoothie shop is replacing all of the peanut butter smoothies with almond butter smoothies. The following is an outline of the fundamental syntax for the Case function: CASE when Īs a demonstration of the application of the syntax summaries provided above, the following is an example of a value being overridden after a Decode or Case function is implemented: The operations and syntax for the Case and Decode functions are similar, but the Case function has more capabilities than the Decode function. There is also an updated version of the Decode function, called the Case function. The following is an outline for the fundamental syntax for the Decode function: You can learn more about different types of queries in SQL by exploring a tutorial on Udemy. Using a CrossTab query along with a Decode function is one method that utilizes the organizational benefits of the Decode function. A CrossTab query involves operations that are common with a Select statement, but also have added functionality for distributing data in a table. The Decode function can be used along with Select statements for queries, such as a CrossTab query. Conditions that are included in a Decode function include conditions such as the Equal(=) condition and Less Than() condition. Additionally, the Decode function can help with organization of a table as it can create new columns used for data distribution based on results from evaluations. Not only does the Decode function assist with data handling, it also combines the benefits of indexes. The Decode function evaluates an expression to determine which criteria options are met and then performs an action (such as overriding a value) based on the evaluation results the function will perform these steps using a process that involves cases for different criteria.Īn index for a table can help improve searches and optimizations. If you are not familiar with If-Then-Else statements or the Decode function in SQL, that is also okay, because this article will provide explanations and examples for the SQL Decode function. CONVERT(varbinary(max), CONVERT(varchar(max),stringToEncodeHere)) DECODEĪdding a varbinary value into an XML type stores it as base64 encoded, and extracting the value the systems already knows how to decode it: SELECT encodedValue, CONVERT(varchar(MAX), CONVERT(XML,encodedValue).value('.If you are familiar with If-Then-Else statements, then you may find that the concepts involved with an If-Then-Else statement can be somewhat similar to concepts involved with the SQL Decode function. To compensate for any abnormalities, I recommend taking your string value from the DE, converting it to varchar and then converting that to varbinary. If the output doesn’t seem quite right, I would suggest honing in on the varbinary conversion. AS encodedValue FROM AS b CROSS APPLY ( SELECT CONVERT(varbinary(max), CONVERT(varchar(max),)) FOR XML PATH ('') ) AS a()ĭouble check the output using a tool like: ENCODEĬross Apply enables to execute SQL XML query on all rows of the database table instead of running SQL Select query on single XML data. Note, the queries below have been optimised for use in Salesforce Marketing Cloud.
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