Google Cloud Dataproc V1 Client - Class Metric (2.2.2)

Reference documentation and code samples for the Google Cloud Dataproc V1 Client class Metric.

A Dataproc custom metric.

Generated from protobuf message google.cloud.dataproc.v1.DataprocMetricConfig.Metric

Namespace

Google \ Cloud \ Dataproc \ V1 \ DataprocMetricConfig

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ metric_source`	`int` Required. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see Custom metrics for more information).
`↳ metric_overrides`	`array` Optional. Specify one or more Custom metrics to collect for the metric course (for the `SPARK` metric source (any Spark metric 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` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

getMetricSource

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

Returns
Type	Description
`int`

setMetricSource

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

Parameter
Name	Description
`var`	`int`

Returns
Type	Description
`$this`

getMetricOverrides

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric 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 andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setMetricOverrides

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric 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 andd YARN metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

Parameter
Name	Description
`var`	`string[]`

Returns
Type	Description
`$this`