KafkaSinkMetrics (kafka 2.61.0 API)

java.lang.Object
- org.apache.beam.sdk.io.kafka.KafkaSinkMetrics

```
public class KafkaSinkMetrics
extends java.lang.Object
```
Helper class to create per worker metrics for Kafka Sink stages.
Metrics will be in the namespace 'KafkaSink' and have their name formatted as:
'{baseName}-{metricLabelKey1}:{metricLabelVal1};...{metricLabelKeyN}:{metricLabelValN};' ????

Field Summary

Fields
Modifier and Type Field Description

static java.lang.String METRICS_NAMESPACE

Constructor Summary

Constructors
Constructor Description

KafkaSinkMetrics()

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static org.apache.beam.sdk.metrics.Histogram`	`createRPCLatencyHistogram(org.apache.beam.sdk.io.kafka.KafkaSinkMetrics.RpcMethod method, java.lang.String topic)`	Creates an Histogram metric to record RPC latency.
`static void`	`setSupportKafkaMetrics(boolean supportKafkaMetrics)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - METRICS_NAMESPACE
```
public static final java.lang.String METRICS_NAMESPACE
```
    See Also:
    
    Constant Field Values
- Constructor Detail
  - KafkaSinkMetrics
```
public KafkaSinkMetrics()
```
- Method Detail
  - createRPCLatencyHistogram
```
public static org.apache.beam.sdk.metrics.Histogram createRPCLatencyHistogram(org.apache.beam.sdk.io.kafka.KafkaSinkMetrics.RpcMethod method,
                                                                              java.lang.String topic)
```
    Creates an Histogram metric to record RPC latency. Metric will have name.
    'RpcLatency*rpc_method:{method};topic_name:{topic};'
    
    Parameters:
    
    method - Kafka method associated with this metric.
    
    topic - Kafka topic associated with this metric.
    
    Returns:
    
    Histogram with exponential buckets with a sqrt(2) growth factor.
  - setSupportKafkaMetrics
```
public static void setSupportKafkaMetrics(boolean supportKafkaMetrics)
```