Class Metric (5.4.3)

Metric(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Dataproc OSS metric.

Attributes

NameDescription
metric_source google.cloud.dataproc_v1.types.DataprocMetricConfig.MetricSource
Required. Default metrics are collected unless metricOverrides are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
metric_overrides MutableSequence[str]
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the SPARK metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) can be specified). Provide metrics in the following format: METRIC_SOURCE:INSTANCE:GROUP:METRIC Use camelcase as appropriate. Examples: :: yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used Notes: - Only the specified overridden metrics will be collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both SPARK andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.