Either you want to reproduce a use case or create a new one, please follow the instructions in the DEVELOPMENT readme.
If there is any use case referencing any other Data Project, it will be documented in the README of the use case.
This repository contains all the use cases you can iterate with Versions:
- Add column to a Materialized View
- Add column to a Landing Data Source
- Add column with values to a Landing Data Source
- Add column to a Kafka Data Source
- Change column type in a Materialized View
- Change Copy Pipe time granularity
- Change sorting key to a Landing Data Source
- Change sorting key to a Kafka connected Data Source
- Change TTL to a Data Source
- Create a Pipe Sink to S3
- Create a Materialized View with batch ingest
- Delete simple resource
- Iterating an API Endpoint
- How to Rollback
- Recover data from quarantine
- Remove column from landing Data Source
- Use new columns from a Shared Data Source
Unfortunately, GitHub doesn't allow running workflows in different subfolders so it isn't possible to include the CI and CD workflow files in the same use case folder. Every CI/CD action is located in .github/workflows and has the same folder name as the use case.