Page Comparison

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1. In the Pipeline Studio, click System Admin.

2. From the System Admin page, click Configuration.

3. Click Make HTTP Calls.

4. From the drop-down list, select POST.

5. Enter the following HTTP request:

   Code Block
   metrics/query?tag=namespace:<namespace>&tag=app:<pipelinename>&tag=run:<run-Id>&tag=workflow:DataPipelineWorkflow&metric=<metric-name>

6. Enter the namespace, pipeline name, and run id for the pipeline.

7. Replace metric-name with user.<BigQueryLabel>.records.updated.
   For example, if you want to get the count for records.updated for a sink called BigQuery55, default namespace, pipeline named POS_Sales_per_region, and a Spark run Run ID of d1685723-cba5-11ea-a338-ce6a685813cb, enter:

   Code Block
   metrics/query?tag=namespace:default&tag=app:POS_Sales_per_Region-1_v8&tag=run:d1685723-cba5-11ea-a338-ce6a685813cb&tag=workflow:DataPipelineWorkflow&metric=user.BigQuery55.records.updated

8. Press Send to view the records.updated:
   

   

   The records updated are listed next to “value”.

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