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public static interface DataprocMetricConfig.MetricOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getMetricOverrides(int index)
public abstract String getMetricOverrides(int index) 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: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> 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.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
index | intThe index of the element to return. |
| Returns | |
|---|---|
| Type | Description |
String | The metricOverrides at the given index. |
getMetricOverridesBytes(int index)
public abstract ByteString getMetricOverridesBytes(int index) 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: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> 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.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
index | intThe index of the value to return. |
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes of the metricOverrides at the given index. |
getMetricOverridesCount()
public abstract int getMetricOverridesCount() 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: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> 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.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int | The count of metricOverrides. |
getMetricOverridesList()
public abstract List<String> getMetricOverridesList() 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: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> 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.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
List<String> | A list containing the metricOverrides. |
getMetricSource()
public abstract DataprocMetricConfig.MetricSource getMetricSource() Required. A standard set of metrics is collected unless metricOverrides
are specified for the metric source (see Custom metrics
for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
DataprocMetricConfig.MetricSource | The metricSource. |
getMetricSourceValue()
public abstract int getMetricSourceValue() Required. A standard set of metrics is collected unless metricOverrides
are specified for the metric source (see Custom metrics
for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
int | The enum numeric value on the wire for metricSource. |