Users are now able to track datasets and show the log for a corresponding dataset. Anew feature is however required, to be able to search already tracked dataset by the following ways:
- Regular expression representing dataset names (paths)
- Dataset name
- Date or date range
- Creator
- Number of columns
- Number of rows
- etc.
This SQL database should be created if it does not exist (after asking the user), and it should be placed in the .cache/ folder in the local store. If the database exists when creating a new snapshot, then it should also be updated automatically, it should only be updated once the local store snapshot has finished being created.
This enables the user to search the tracked datasets using dstrack search.
Users are now able to track datasets and show the log for a corresponding dataset. Anew feature is however required, to be able to search already tracked dataset by the following ways:
This SQL database should be created if it does not exist (after asking the user), and it should be placed in the .cache/ folder in the local store. If the database exists when creating a new snapshot, then it should also be updated automatically, it should only be updated once the local store snapshot has finished being created.
This enables the user to search the tracked datasets using dstrack search.