Community Components
Our community resources listed below are all available without charge. Whilst serving as examples of Component Design services, we also hope you find them useful as well. For common questions and asnwers about these componenst try the Community Products FAQ.
Checksum Transformation
The Checksum Transformation computes a hash value, the checksum, across one or more columns, returning the result in the Checksum output column. The transformation provides functionality similar to the T-SQL CHECKSUM function, but is encapsulated within SQL Server Integration Services, for use within the pipeline without code or a SQL Server connection. Checksums can reduce network contention and increase process performance by allowing you to verify data through a single value rather than transferring all data values for comparison.
Data Generator Source
This source component literally generates data. Specify how many columns you want, and how many rows, then watch the data flow out. Build demonstration and research scenarios faster with this simple source.
File Watcher Task
The File Watcher Task does what it says really, it watches a folder waiting for files. When an available file is found the task completes, returning the name of the file for onward use within the package.
Regular Expression Transformation
The Regular Expression Transformation exposes the power of regular expression matching within the pipeline. One or more columns can be selected, and for each column an individual expression can be applied. If all columns selected pass their tests then rows are passed down the successful match output. Rows that fail to pass all tests are directed down the alternate output.
Row Count Plus Transformation
The Row Count Plus Transformation can replace the stock transformation. We have recreated and extended with more functionality and a user friendly interface for faster and easier package design.
Row Number Transformation
The Row Number Transformation calculates a row number for each row. It offers ROW_NUMBER or IDENTITY like behavior within the Data Flow. Uses include surrogate key generation or data partitioning within the pipeline.
