I have received a JSON response from an API that contains various item details in a section labeled “Data.” This portion includes fields such as “ReleasePackageId,” “Name,” and “Version,” as well as pagination information like “TotalCount,” “PageIndex,” and “PageSize.” My goal is to consolidate all this API information into a single CSV file using Azure Data Factory. The challenge arises because the API returns data in segments, and the total count of items can vary each time (currently, it’s 88). Therefore, I need a strategy to process these segmented API responses effectively and compile everything into one CSV file. Could anyone provide insights or recommendations on the best approach to achieve this in ADF?
To efficiently consolidate your segmented API data into a single CSV file using Azure Data Factory (ADF), you can follow these steps:
- Create a Linked Service: Establish a connection to your API by setting up an HTTP linked service in ADF.
- Set Up a Copy Data Activity: Use the Copy Data activity to fetch data from the API. Ensure you configure the activity to handle pagination by leveraging the pagination settings in the source dataset. You’ll want to reference your pagination tokens such as
TotalCount, PageIndex,andPageSize. - Use a Data Flow: Create a data flow to process and transform the data. Within the data flow, you can flatten the JSON structure to ensure fields like
ReleasePackageId, Name,andVersionare extracted correctly. - Integrate a Sink for CSV: Use a sink in your data flow to output the processed information into a CSV format. Ensure the sink is configured to append or write the data incrementally.
- Automate the Pipeline: Set your pipeline on a trigger to automate the process at specific intervals, ensuring fresh API data is processed and appended to the CSV.
By following this approach, you can efficiently compile segmented API data into a single CSV file, optimizing process automation in Azure Data Factory.