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Currently, the only ways to trigger archiving leveraging the OA-ORE and Bag outputs is to configure a post-publication workflow or to use the API call that can archive a single specified datset version. To support batch archiving, e.g. of all dataset versions not yet archived (e.g. one published since the last archiving run), an API to find/archive all new dataset versions would be useful.
TDL has created such an admin API call that will query to find unarchived dataset versions and, optionally to start a thread to archive them. The thread is asynchronous, creates Bags sequentially (to avoid having multiple versions taking processing power, memory and temporary disk space), and logs successes and failures. The API has three query parameters that can be used in combination:
listonly - true: retrieves the list of unarchived versions but does not attempt to archive any
latestonly - true: only lists/processes the most recently published version of a given dataset
limit - maximum number of versions to attempt to archive
PR to follow.
The text was updated successfully, but these errors were encountered:
Currently, the only ways to trigger archiving leveraging the OA-ORE and Bag outputs is to configure a post-publication workflow or to use the API call that can archive a single specified datset version. To support batch archiving, e.g. of all dataset versions not yet archived (e.g. one published since the last archiving run), an API to find/archive all new dataset versions would be useful.
TDL has created such an admin API call that will query to find unarchived dataset versions and, optionally to start a thread to archive them. The thread is asynchronous, creates Bags sequentially (to avoid having multiple versions taking processing power, memory and temporary disk space), and logs successes and failures. The API has three query parameters that can be used in combination:
PR to follow.
The text was updated successfully, but these errors were encountered: