Metric(mapping=None, *, ignore_unknown_fields=False, **kwargs)A Dataproc OSS metric.
Attributes | |
|---|---|
| Name | Description |
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.
|