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.

Example¶

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