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 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 |