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Data conversion configuration: This part is where we specify the output columns SSIS data types, and other related properties such as:.Input columns: This part is to select the columns that we want to convert their data types.
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The Data Conversion Transformation editor is not complicated it is composed of two main parts: This grid can be applied to SSIS data types since we mentioned in the above documentation that contains each SQL data type and its corresponding SSIS data type:įigure 1 – Conversion data grid – Reference: Data type conversion (Database Engine) Data Conversion TransformationĪfter describing the different types of conversion, we will give an overview of the Data Conversion Transformation and how it is used to perform data conversion.ĭata conversion Transformation is a component used within data flow tasks to convert SSIS data types of input columns and generate new output columns:įigure 2 – Data Conversion Transformation in SSIS Toolbox Microsoft documentation contains a grid that illustrates which data types can be converted implicitly and which can be converted explicitly. 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. 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:
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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: 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. 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.
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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.