Supported metrics for Microsoft.Synapse/workspaces/bigDataPools

The following table lists the metrics available for the Microsoft.Synapse/workspaces/bigDataPools resource type.

Table headings

Metric - The metric display name as it appears in the Azure portal.
Name in Rest API - Metric name as referred to in the REST API.
Unit - Unit of measure.
Aggregation - The default aggregation type. Valid values: Average, Minimum, Maximum, Total, Count.
Dimensions - Dimensions available for the metric.
Time Grains - Intervals at which the metric is sampled. For example, PT1M indicates that the metric is sampled every minute, PT30M every 30 minutes, PT1H every hour, and so on.
DS Export- Whether the metric is exportable to Azure Monitor Logs via Diagnostic Settings.

For information on exporting metrics, see - Metrics export using data collection rules and Create diagnostic settings in Azure Monitor.

For information on metric retention, see Azure Monitor Metrics overview.

For a list of supported logs, see Supported log categories - Microsoft.Synapse/workspaces/bigDataPools

Category: Apache Spark pool

Metric	Name in REST API	Unit	Aggregation	Dimensions	Time Grains	DS Export
vCores allocated Allocated vCores for an Apache Spark Pool	BigDataPoolAllocatedCores	Count	Maximum, Minimum, Average	SubmitterId	PT1M	No
Memory allocated (GB) Allocated Memory for Apach Spark Pool (GB)	BigDataPoolAllocatedMemory	Count	Maximum, Minimum, Average	SubmitterId	PT1M	No
Active Apache Spark applications Total Active Apache Spark Pool Applications	BigDataPoolApplicationsActive	Count	Maximum, Minimum, Average	JobState	PT1M	No
Ended Apache Spark applications Count of Apache Spark pool applications ended	BigDataPoolApplicationsEnded	Count	Total (Sum)	JobType, JobResult	PT1M	No

Next steps

• Read about metrics in Azure Monitor
• Metrics export using data collection rules
• Create alerts on metrics
• Export metrics to storage, Event Hub, or Log Analytics