It is similar to comparing the checksum of your source and target data. These tests are essential when testing large amounts of data. Some of the common data profile comparisons that can be done between the flat file and target are:. Example 1: Compare column counts with values non null values between source and target for each column based on the mapping.
It is also a key requirement for data migration projects. Example: Write a source query on the flat file that matches the data in the target table after transformation. It takes care of loading the flat file data into a table for running validations. Data in the inbound Flat File is transformed by the consuming process and loaded into the target table or file.
It is important to test the transformed data. There are two approaches for testing transformations — white box testing and black box testing. For transformation testing, this involves reviewing the transformation logic from the flat file data ingestion design document and corresponding code to come up with test cases.
The advantage with this approach is that the tests can be rerun easily on a larger data set. The disadvantage of this approach is that the tester has to reimplement the transformation logic. Example: In a financial company, the interest earned on the savings account is dependent the daily balance in the account for the month. The daily balance for the month is part of an inbound CSV file for the process that computes the interest. Review the requirement and design for calculating the interest.
Implement the logic using your favourite programming language. Compare your output with data in the target table.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings. For transformation testing, this involves reviewing the transformation logic from the mapping design document setting up the test data appropriately.
The advantage with this approach is that the transformation logic does not need to be reimplemented during the testing. The disadvantage of this approach is that the tester needs to setup test data for each transformation scenario and come up with the expected values for the transformed data manually.
Review the requirement for calculating the interest. Setup test data in the flat file for various scenarios of daily account balance. Compare the transformed data in the target table with the expected values for the test data. The goal of performance testing is to validate that the process consuming the inbound flat files is able to handle flat files with the expected data volumes and inbound arrival frequency. Example 1: The process ingesting the flat file might perform well when the data when there are only a few records in the file but perform bad when there is large number of rows.
Example 2: The flat file ingestion process may also perform bad as the data volumes increase in the target table. Integration testing of the inbound flat file ingestion process and the related applications involves the following steps:. Flat File Testing. Challenges in Flat File Testing Testing of inbound flat files presents unique challenges because the producer of the flat file is usually different organizations within an enterprise or an external vendor.
This will display a page where you can select a template with which to create your app. Close this down as you need to link your integration account to your logic app. Click on Settings, then Integration Account and pick the integration Account where you previously uploaded the Schemas and Map files. Save this and return to the logic app template screen.
This is the basis for your transformation logic. All you need to do now is to complete each box. Pick the Transformed XML content as the body of the response. Database Monitoring. Free Tools. By Role. Cloud Migration. Blog Home SentryOne Newsletter. Authors Categories. Open FAQTest. To define these connections, you must: Create an oledb connection local. Configure the flat file ConnectionString Property as an expression to make the flat file connection dynamic.
Double click the dataflow and add the flat file source. Any thoughts on how that can be addressed? Did you review the samples we have posted?
You can configure a virtual file that doesn't exist as a physical file and stream the output flat file content either to a compressed zip file with a password or into a OpenPGP encrypted file or stream the file directly to a remote server. SSIS - getting data from Oracle - not working preview and metadata refresh.
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