Azure Synapse (Apache Spark pool)¶
You can scrape an Azure Synapse Apache Spark pool via the
SynapseApacheSparkPool resource type.
When using declared resources, the following fields need to be provided:
workspaceName- The name of the Azure Synapse workspace.
poolName- The name of the Apache Spark pool.
All supported metrics are documented in the official Azure Monitor documentation.
The following scraper-specific metric labels will be added:
workspace_name- The name of the Azure Synapse workspace.
pool_name- The name of the Apache Spark pool.
Here is an example configuration:
- name: promitor_demo_synapse_apache_spark_apps_ended description: "Amount of apps ended running on Apache Spark pool in Azure Synapse" resourceType: SynapseApacheSparkPool azureMetricConfiguration: metricName: BigDataPoolApplicationsEnded aggregation: type: Total resources: # Optional, required when no resource discovery is configured - workspaceName: promitor-synapse poolName: sparkpool resourceDiscoveryGroups: # Optional, requires Promitor Resource Discovery agent (https://docs.promitor.io/latest/how-it-works#using-resource-discovery) - name: synapse-apache-spark-pools