Class Metric

A Dataproc custom metric.

Inheritance
object
Metric
Implements
Inherited Members
Namespace: Google.Apis.Dataproc.v1.Data
Assembly: Google.Apis.Dataproc.v1.dll
Syntax
public class Metric : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

MetricOverrides

Optional. Specify one or more Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 are collected for the metric source. For example, if one or more spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK and YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

Declaration
[JsonProperty("metricOverrides")]
public virtual IList<string> MetricOverrides { get; set; }
Property Value
Type Description
IList<string>

MetricSource

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).

Declaration
[JsonProperty("metricSource")]
public virtual string MetricSource { get; set; }
Property Value
Type Description
string

Implements