AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Check program monit examples1/26/2024 ![]() The event type, for example, INFO, WARN, ERROR, or METRICS. Provider region, user_id, pipeline_id, or pipeline_type to show where the pipeline was created,Ī human-readable message describing the event. See : (colon sign) operator.Ī unique identifier for the event log record.Ī JSON document containing metadata to identify and order events.Ī JSON document containing metadata for the origin of the event, for example, the cloud provider, the cloud Databricks supports the : operator to parse JSON fields. Some of these fields contain JSON data that require parsing to perform some queries, such as the details field. The following table describes the event log schema. To change the run as user, click Permissions and change the pipeline owner. The Run as user is the pipeline owner, and pipeline updates run with this user’s permissions. To switch back to the DAG visualization, click Graph. ![]() You can control the datasets displayed in the table using multiple filters such as dataset name, type, and status. The List view allows you to see all datasets in your pipeline represented as a row in a table and is useful when your pipeline DAG is too large to visualize in the Graph view. To see a tabular view of datasets, click the List tab. By default, the pipeline details page shows the most recent update for the table, but you can select older updates from a drop-down menu.ĭetails displayed include the pipeline ID, source libraries, compute cost, product edition, Databricks Runtime version, and the channel configured for the pipeline. ![]() Arrows represent dependencies between datasets in your pipeline. The pipeline graph displays as soon as an update to a pipeline has successfully started. ![]() What pipeline details are available in the UI? ![]()
0 Comments
Read More
Leave a Reply. |