Reference documentation and code samples for the Google Cloud Dataproc V1 Client class Metric.
A Dataproc OSS metric.
Generated from protobuf message google.cloud.dataproc.v1.DataprocMetricConfig.Metric
Methods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ metric_source |
int
Required. Default metrics are collected unless |
↳ metric_overrides |
array
Optional. Specify one or more available OSS metrics to collect for the metric course (for the |
getMetricSource
Required. Default metrics are collected unless metricOverrides
are
specified for the metric source (see Available OSS metrics
for more information).
Generated from protobuf field .google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
int |
setMetricSource
Required. Default metrics are collected unless metricOverrides
are
specified for the metric source (see Available OSS metrics
for more information).
Generated from protobuf field .google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
Parameter | |
---|---|
Name | Description |
var |
int
|
Returns | |
---|---|
Type | Description |
$this |
getMetricOverrides
Optional. Specify one or more available OSS 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 will be collected for the
metric source. For example, if one or more
spark:executive
metrics are listed as metric overrides, otherSPARK
metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if bothSPARK
anddYARN
metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
Generated from protobuf field repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setMetricOverrides
Optional. Specify one or more available OSS 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 will be collected for the
metric source. For example, if one or more
spark:executive
metrics are listed as metric overrides, otherSPARK
metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if bothSPARK
anddYARN
metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
Generated from protobuf field repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
var |
string[]
|
Returns | |
---|---|
Type | Description |
$this |