| title | Integration Services Transformations | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| description | Integration Services Transformations | ||||||||||
| author | chugugrace | ||||||||||
| ms.author | chugu | ||||||||||
| ms.date | 03/14/2017 | ||||||||||
| ms.service | sql | ||||||||||
| ms.subservice | integration-services | ||||||||||
| ms.topic | concept-article | ||||||||||
| helpviewer_keywords |
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[!INCLUDEsqlserver-ssis]
[!INCLUDEssNoVersion] [!INCLUDEssISnoversion] transformations are the components in the data flow of a package that aggregate, merge, distribute, and modify data. Transformations can also perform lookup operations and generate sample datasets. This section describes the transformations that [!INCLUDEssISnoversion] includes and explains how they work.
The following transformations perform business intelligence operations such as cleaning data, mining text, and running data mining prediction queries.
| Transformation | Description |
|---|---|
| Slowly Changing Dimension Transformation | The transformation that configures the updating of a slowly changing dimension. |
| Fuzzy Grouping Transformation | The transformation that standardizes values in column data. |
| Fuzzy Lookup Transformation | The transformation that looks up values in a reference table using a fuzzy match. |
| Term Extraction Transformation | The transformation that extracts terms from text. |
| Term Lookup Transformation | The transformation that looks up terms in a reference table and counts terms extracted from text. |
| Data Mining Query Transformation | The transformation that runs data mining prediction queries. |
| DQS Cleansing Transformation | The transformation that corrects data from a connected data source by applying rules that were created for the data source. |
The following transformations update column values and create new columns. The transformation is applied to each row in the transformation input.
| Transformation | Description |
|---|---|
| Character Map Transformation | The transformation that applies string functions to character data. |
| Copy Column Transformation | The transformation that adds copies of input columns to the transformation output. |
| Data Conversion Transformation | The transformation that converts the data type of a column to a different data type. |
| Derived Column Transformation | The transformation that populates columns with the results of expressions. |
| Export Column Transformation | The transformation that inserts data from a data flow into a file. |
| Import Column Transformation | The transformation that reads data from a file and adds it to a data flow. |
| Script Component | The transformation that uses script to extract, transform, or load data. |
| OLE DB Command Transformation | The transformation that runs SQL commands for each row in a data flow. |
The following transformations create new rowsets. The rowset can include aggregate and sorted values, sample rowsets, or pivoted and unpivoted rowsets.
| Transformation | Description |
|---|---|
| Aggregate Transformation | The transformation that performs aggregations such as AVERAGE, SUM, and COUNT. |
| Sort Transformation | The transformation that sorts data. |
| Percentage Sampling Transformation | The transformation that creates a sample data set using a percentage to specify the sample size. |
| Row Sampling Transformation | The transformation that creates a sample data set by specifying the number of rows in the sample. |
| Pivot Transformation | The transformation that creates a less normalized version of a normalized table. |
| Unpivot Transformation | The transformation that creates a more normalized version of a nonnormalized table. |
The following transformations distribute rows to different outputs, create copies of the transformation inputs, join multiple inputs into one output, and perform lookup operations.
| Transformation | Description |
|---|---|
| Conditional Split Transformation | The transformation that routes data rows to different outputs. |
| Multicast Transformation | The transformation that distributes data sets to multiple outputs. |
| Union All Transformation | The transformation that merges multiple data sets. |
| Merge Transformation | The transformation that merges two sorted data sets. |
| Merge Join Transformation | The transformation that joins two data sets using a FULL, LEFT, or INNER join. |
| Lookup Transformation | The transformation that looks up values in a reference table using an exact match. |
| Cache Transform | The transformation that writes data from a connected data source in the data flow to a Cache connection manager that saves the data to a cache file. The Lookup transformation performs lookups on the data in the cache file. |
| Balanced Data Distributor Transformation | The transformation distributes buffers of incoming rows uniformly across outputs on separate threads to improve performance of SSIS packages running on multi-core and multi-processor servers. |
[!INCLUDEssISnoversion] includes the following transformations to add audit information and count rows.
| Transformation | Description |
|---|---|
| Audit Transformation | The transformation that makes information about the environment available to the data flow in a package. |
| Row Count Transformation | The transformation that counts rows as they move through it and stores the final count in a variable. |
You can also write custom transformations. For more information, see Developing a Custom Transformation Component with Synchronous Outputs and Developing a Custom Transformation Component with Asynchronous Outputs.