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  1. 8 gru 2016 · If I understand the question correctly, you want the equivalent of decode but in T-SQL. Select YourFieldAliasName = CASE PC_SL_LDGR_CODE WHEN '02' THEN 'DR' ELSE 'CR' END

  2. 20 lis 2017 · I have a varchar column in a table in SQL Server that holds a Base64-encoded text string, which I would like to decode into its plain text equivalent. Does SQL Server have any native functionality to handle this type of thing? Here is a sample base64 string:

  3. 27 sty 2015 · I have a column in SQL Server with utf8 SQL_Latin1_General_CP1_CI_AS encoding. How can I convert and save the text in ISO 8859-1 encoding? I would like to do thing in a query on SQL Server.

  4. 11 wrz 2023 · Applies to: Azure SQL Database SQL analytics endpoint and Warehouse in Microsoft Fabric. BASE64_DECODE converts a base64 encoded varchar into the corresponding varbinary. Transact-SQL syntax conventions. Syntax BASE64_DECODE(expression) Arguments expression. An expression of type varchar (n | max). Return types. Varbinary(8000).

  5. 23 kwi 2011 · In SQL Server the equivalent code is CASE statement. Here are the examples regarding how DECODE can be written in SQL Server. SELECT CASE WHEN Letters = 'First' THEN 1. WHEN Letters = 'Second' THEN 2. WHEN Letters = 'Third' THEN 3. ELSE 0 END AS LN. FROM LettersTable. Here are few alternative blog posts.

  6. www.sqltutorial.org › sql-comparison-functions › sql-decodeSQL DECODE - SQL Tutorial

    SELECT DECODE (3, 1, 'Equal 1,', 2, 'Equal 2', 'Not Equal 1 or 2'); Code language: SQL (Structured Query Language) (sql) This example works like the following IF-THEN-ELSEIF-ELSE statement: IF 3 = 1 THEN RETURN 'Equal 1'; ELSE IF 3 =2 THEN RETURN 'Equal 2'; ELSE RETURN 'Not Equal 1 or 2'; END IF ; Code language: SQL (Structured Query Language ...

  7. 6 sie 2024 · This tutorial provides a comprehensive guide to using the SQL DECODE() function in Oracle. I will also compare DECODE() to CASE WHEN in Oracle and help you understand when to use each function. Finally, I will provide code for the equivalent transformations in SQL Server, PostgreSQL, and MySQL.

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