For file data that is partitioned, you can enter a partition root path in order to read partitioned folders as columns, Whether your source is pointing to a text file that lists files to process, Create a new column with the source file name and path, Delete or move the files after processing. This is exactly what I was looking for. You would need a separate Lookup activity. Thank you for posting query on Microsoft Q&A Platform. To make the coming steps easier first the hierarchy is flattened. This article will help you to work with Store Procedure with output parameters in Azure data factory. It would be better if you try and describe what you want to do more functionally before thinking about it in terms of ADF tasks and Im sure someone will be able to help you. What should I follow, if two altimeters show different altitudes? (more columns can be added as per the need). Not the answer you're looking for? It is a design pattern which is very commonly used to make the pipeline more dynamic and to avoid hard coding and reducing tight coupling. Dynamically Set Copy Activity Mappings in Azure Data Factory v2 Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, Split a json string column or flatten transformation in data flow (ADF), Safely turning a JSON string into an object, JavaScriptSerializer - JSON serialization of enum as string, A boy can regenerate, so demons eat him for years. now if i expand the issue again it is containing multiple array , How can we flatten this kind of json file in adf ? By default, the service uses min 64 MB and max 1G. 566), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. First, create a new ADF Pipeline and add a copy activity. Rejoin to original data To get the desired structure the collected column has to be joined to the original data. In connection tab add following against File Path. Asking for help, clarification, or responding to other answers. Your requirements will often dictate that you flatten those nested attributes. The query result is as follows: From there navigate to the Access blade. Learn how you can use CI/CD with your ADF Pipelines and Azure DevOps using ARM templates. The id column can be used to join the data back. Dont forget to test the connection and make sure ADF and the source can talk to each other. A better way to pass multiple parameters to an Azure Data Factory pipeline program is to use a JSON object. Build Azure Data Factory Pipelines with On-Premises Data Sources Ill be using Azure Data Lake Storage Gen 1 to store JSON source files and parquet as my output format. And in a scenario where there is need to create multiple parquet files, same pipeline can be leveraged with the help of configuration table . After a final select, the structure looks as required: Remarks: There is a Power Query activity in SSIS and Azure Data Factory, which can be more useful than other tasks in some situations. Which reverse polarity protection is better and why? We can declare an array type variable named CopyInfo to store the output. The array of objects has to be parsed as array of strings. Please help us improve Microsoft Azure. The type property of the copy activity source must be set to, A group of properties on how to read data from a data store. Thanks for contributing an answer to Stack Overflow! {"Company": { "id": 555, "Name": "Company A" }, "quality": [{"quality": 3, "file_name": "file_1.txt"}, {"quality": 4, "file_name": "unkown"}]}, {"Company": { "id": 231, "Name": "Company B" }, "quality": [{"quality": 4, "file_name": "file_2.txt"}, {"quality": 3, "file_name": "unkown"}]}, {"Company": { "id": 111, "Name": "Company C" }, "quality": [{"quality": 5, "file_name": "unknown"}, {"quality": 4, "file_name": "file_3.txt"}]}.