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