alter datasink
The alter datasink add or remove source command adds or removes a real-time streaming or batch source to or from a data sink. The data-sink job will start transferring data from your data source into the data sink. The job will periodically and continuously fetch data from your real-time data source into the data sink.
The alter datasink outage_window command adds or removes an outage window to or from the data sink. An operator-added outage window indicates that event data within this window must not be used for features. This can be an indication of data-source-scheduled maintenance periods. Backfill data will skip over outage windows. This is a useful mechanism to speed up backfill if you are aware of large time windows where there is no event data available.
Syntax
alter datasink <datasink name>,add source <datasource name>
alter datasink <datasink name>,remove source <datasource name>
alter datasink <datasink name>,add outage_window start_timestamp=<outage start time>,end_timestamp=<outage end time>
alter datasink <datasink name>,remove outage_window start_timestamp=<outage start time>,end_timestamp=<outage end time>
alter datasink <datasink name>,add constraints <constraints filename>
alter datasink <datasink name>,remove constraints <constraints filename>
alter datasink <datasink name>,add metrics <metrics filename>,<metrics interval>
alter datasink <datasink name>,remove metrics <metrics filename>Parameters
<datasource name>
The name of the data source
<datasink name>
The name of the data sink
<outage start time>
The start time of the event data outage
<outage end time>
The end time of the event data outage
<constraints filename>
The file containing the constraints to add or remove
<metrics filename>
The file containing the metrics to add or remove
<metrics interval>
The interval at which to compute metrics. This is required for an events data sink.
Example
alter datasink trip_datasink,add source trip_realtime_datasourceLast updated