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Implicit conversion Vs Explicit conversionĮach pair of SSIS data types has its own case, you can find a pair that can be converted implicitly and another one that needs an explicit conversion. In this article, I will not describe the Derived Column Transformation, since it was explained in a previous article in this series: SSIS Derived Column with multiple expression Vs multiple transformation In SSIS, Explicit conversion can be done using different methods, for example: SELECT CAST ( AS Varchar ( 50 ) ) FROM Table For example, when a string is compared to an int, the string is implicitly converted to int before the comparison proceeds: Data types are automatically converted from one data type to another. Implicit conversions are not visible to the user.

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In this section, I will try to make a quick overview of each type. There are two types of data type conversion: On the other hand, these data types have some limitations such as the minimum and maximum allowed values for the decimal data type, more detailed can be found at: The SSIS data types were founded to provide a unified set of data types that can handle different types from different sources. Working with Data Types in the Data Flow.For more information, you can refer to the following links:

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Microsoft provided very detailed information about SSIS data types and related data types on the different data sources. As an example, string data types are converted into DT_STR, DT_WSTR, DT_TEXT, DT_NTEXT data types.

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When handling data using Integration Services Data Flow Task, the source data types are converted into SSIS data types. This article is the seventh article in the SSIS feature face-to-face series, which aims to remove confusion and to illustrate some of the differences between similar features provided by SQL Server Integration Services. In this article, I will first give an overview of SSIS data types and data types conversion methods and then I will illustrate the difference between changing the columns data types from the Source Advanced editor and using Data Conversion Transformation.










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