Recently I built a online front-end and corresponding mobile app for a project which has a to be performant. That naturally requires lots of test data, so I generated thousands of test records (Thanks to generatedata.com and mockaroo.com). Like every tool these two tools also has imposed some limits on generating and downloading the test data, so I have to get them in batches and download them as different files.
Ahh, nobody let me download 1Ml 🚀 test records for free. That's Why ....
This tool is useful for just merging the JSON files, it is not a faker or random data generator.
- Merge Multiple JSON files with same schema/structure
- Supports merging both Object root nodes as well as Array root nodes
- Allows identifier configuration for Root Element (node) and Primary Key (id)
- Supports removal of duplicates based on the Primary Key configuration
- CAUTION: if files have different data but the primary keys are same, do NOT use this option, because the data would be lost, while merging.
- Supports sorting of all JSON elements after merging
- While sorting, user can regenerate the new sequential id or a random Guid
- CAVEAT: While regenerating the new Guid, the sorted sequence will get distorted due to randomizer, you might want to sort the merged file once again. (see todo section).
- Supports each element level sorting of key-value pairs based on the alphabetical ascending order.
- Generate different merge files for each steps performed, useful for debugging/little backup.
- Logs time taken for each step, if you're keen.
- Supports merging of deeply nested JSONs with same structure (tested up to 5 levels).
- Supports merging of different schema/structure with matching root nodes.
- Supports each element level sorting of nested objects schema/structure.
- After regenerating Guid the sort sequence needs to be re-sorted.
- Add more configurations for customizing the output.
- In few tests the generated element level sorts does not work with nested objects, which works well with top level nodes (specifically with dates in JSON string format).
