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 \ DataprocMetricConfigMethods
__construct
Constructor.
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).
int
setMetricSource
Required. A standard set of metrics is collected unless metricOverrides
are specified for the metric source (see Custom metrics
for more information).
var
int
$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:executivemetrics are listed as metric overrides, otherSPARKmetrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if bothSPARKanddYARNmetric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
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:executivemetrics are listed as metric overrides, otherSPARKmetrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if bothSPARKanddYARNmetric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.
var
string[]
$this
