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127 changes: 127 additions & 0 deletions
127
sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/KafkaMetrics.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.apache.beam.sdk.io.kafka; | ||
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| import com.google.auto.value.AutoValue; | ||
| import java.time.Duration; | ||
| import java.time.Instant; | ||
| import java.util.HashMap; | ||
| import java.util.Map; | ||
| import java.util.concurrent.ConcurrentLinkedQueue; | ||
| import java.util.concurrent.atomic.AtomicBoolean; | ||
| import org.apache.beam.sdk.metrics.Histogram; | ||
| import org.apache.beam.sdk.util.Preconditions; | ||
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| /** Stores and exports metrics for a batch of Kafka Client RPCs. */ | ||
| public interface KafkaMetrics { | ||
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| void updateSuccessfulRpcMetrics(String topic, Instant start, Instant end); | ||
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| void updateKafkaMetrics(); | ||
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| /** No-op implementation of {@code KafkaResults}. */ | ||
| class NoOpKafkaMetrics implements KafkaMetrics { | ||
| private NoOpKafkaMetrics() {} | ||
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| @Override | ||
| public void updateSuccessfulRpcMetrics(String topic, Instant start, Instant end) {} | ||
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| @Override | ||
| public void updateKafkaMetrics() {} | ||
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| private static NoOpKafkaMetrics singleton = new NoOpKafkaMetrics(); | ||
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| static NoOpKafkaMetrics getInstance() { | ||
| return singleton; | ||
| } | ||
| } | ||
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| /** | ||
| * Metrics of a batch of RPCs. Member variables are thread safe; however, this class does not have | ||
| * atomicity across member variables. | ||
| * | ||
| * <p>Expected usage: A number of threads record metrics in an instance of this class with the | ||
| * member methods. Afterwards, a single thread should call {@code updateStreamingInsertsMetrics} | ||
| * which will export all counters metrics and RPC latency distribution metrics to the underlying | ||
| * {@code perWorkerMetrics} container. Afterwards, metrics should not be written/read from this | ||
| * object. | ||
| */ | ||
| @AutoValue | ||
| abstract class KafkaMetricsImpl implements KafkaMetrics { | ||
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| static HashMap<String, Histogram> latencyHistograms = new HashMap<String, Histogram>(); | ||
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| abstract HashMap<String, ConcurrentLinkedQueue<Duration>> perTopicRpcLatencies(); | ||
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| abstract AtomicBoolean isWritable(); | ||
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| public static KafkaMetricsImpl create() { | ||
| return new AutoValue_KafkaMetrics_KafkaMetricsImpl( | ||
| new HashMap<String, ConcurrentLinkedQueue<Duration>>(), new AtomicBoolean(true)); | ||
| } | ||
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| /** Record the rpc status and latency of a successful Kafka poll RPC call. */ | ||
| @Override | ||
| public void updateSuccessfulRpcMetrics(String topic, Instant start, Instant end) { | ||
| if (isWritable().get()) { | ||
| ConcurrentLinkedQueue<Duration> latencies = perTopicRpcLatencies().get(topic); | ||
| if (latencies == null) { | ||
| latencies = new ConcurrentLinkedQueue<Duration>(); | ||
| latencies.add(Duration.between(start, end)); | ||
| perTopicRpcLatencies().put(topic, latencies); | ||
| } else { | ||
| latencies.add(Duration.between(start, end)); | ||
| } | ||
| } | ||
| } | ||
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| /** Record rpc latency histogram metrics for all recorded topics. */ | ||
| private void recordRpcLatencyMetrics() { | ||
| for (Map.Entry<String, ConcurrentLinkedQueue<Duration>> topicLatencies : | ||
| perTopicRpcLatencies().entrySet()) { | ||
| Histogram topicHistogram; | ||
| if (latencyHistograms.containsKey(topicLatencies.getKey())) { | ||
| topicHistogram = latencyHistograms.get(topicLatencies.getKey()); | ||
| } else { | ||
| topicHistogram = | ||
| KafkaSinkMetrics.createRPCLatencyHistogram( | ||
| KafkaSinkMetrics.RpcMethod.POLL, topicLatencies.getKey()); | ||
| latencyHistograms.put(topicLatencies.getKey(), topicHistogram); | ||
| } | ||
| // update all the latencies | ||
| for (Duration d : topicLatencies.getValue()) { | ||
| Preconditions.checkArgumentNotNull(topicHistogram); | ||
| topicHistogram.update(d.toMillis()); | ||
| } | ||
| } | ||
| } | ||
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| /** | ||
| * Export all metrics recorded in this instance to the underlying {@code perWorkerMetrics} | ||
| * containers. This function will only report metrics once per instance. Subsequent calls to | ||
| * this function will no-op. | ||
| */ | ||
| @Override | ||
| public void updateKafkaMetrics() { | ||
| if (!isWritable().compareAndSet(true, false)) { | ||
| return; | ||
| } | ||
| recordRpcLatencyMetrics(); | ||
| } | ||
| } | ||
| } |
89 changes: 89 additions & 0 deletions
89
sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/KafkaSinkMetrics.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,89 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.apache.beam.sdk.io.kafka; | ||
|
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| import org.apache.beam.sdk.metrics.DelegatingHistogram; | ||
| import org.apache.beam.sdk.metrics.Histogram; | ||
| import org.apache.beam.sdk.metrics.LabeledMetricNameUtils; | ||
| import org.apache.beam.sdk.metrics.MetricName; | ||
| import org.apache.beam.sdk.util.HistogramData; | ||
|
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| /** | ||
| * Helper class to create per worker metrics for Kafka Sink stages. | ||
| * | ||
| * <p>Metrics will be in the namespace 'KafkaSink' and have their name formatted as: | ||
| * | ||
| * <p>'{baseName}-{metricLabelKey1}:{metricLabelVal1};...{metricLabelKeyN}:{metricLabelValN};' ???? | ||
| */ | ||
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| // TODO, refactor out common parts for BQ sink, so it can be reused with other sinks, eg, GCS? | ||
| // @SuppressWarnings("unused") | ||
| public class KafkaSinkMetrics { | ||
| private static boolean supportKafkaMetrics = true; | ||
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| public static final String METRICS_NAMESPACE = "KafkaSink"; | ||
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| // Base Metric names | ||
| private static final String RPC_LATENCY = "RpcLatency"; | ||
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| // Kafka Consumer Method names | ||
| enum RpcMethod { | ||
| POLL, | ||
| } | ||
|
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| // Metric labels | ||
| private static final String TOPIC_LABEL = "topic_name"; | ||
| private static final String RPC_METHOD = "rpc_method"; | ||
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| /** | ||
| * Creates an Histogram metric to record RPC latency. Metric will have name. | ||
| * | ||
| * <p>'RpcLatency*rpc_method:{method};topic_name:{topic};' | ||
| * | ||
| * @param method Kafka method associated with this metric. | ||
| * @param topic Kafka topic associated with this metric. | ||
| * @return Histogram with exponential buckets with a sqrt(2) growth factor. | ||
| */ | ||
| public static Histogram createRPCLatencyHistogram(RpcMethod method, String topic) { | ||
| LabeledMetricNameUtils.MetricNameBuilder nameBuilder = | ||
| LabeledMetricNameUtils.MetricNameBuilder.baseNameBuilder(RPC_LATENCY); | ||
| nameBuilder.addLabel(RPC_METHOD, method.toString()); | ||
| nameBuilder.addLabel(TOPIC_LABEL, topic); | ||
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| MetricName metricName = nameBuilder.build(METRICS_NAMESPACE); | ||
| HistogramData.BucketType buckets = HistogramData.ExponentialBuckets.of(1, 17); | ||
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| return new DelegatingHistogram(metricName, buckets, false, true); | ||
| } | ||
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| /** | ||
| * Returns a container to store metrics for Kafka metrics in Unbounded Readed. If these metrics | ||
| * are disabled, then we return a no-op container. | ||
| */ | ||
| static KafkaMetrics kafkaMetrics() { | ||
| if (supportKafkaMetrics) { | ||
| return KafkaMetrics.KafkaMetricsImpl.create(); | ||
| } else { | ||
| return KafkaMetrics.NoOpKafkaMetrics.getInstance(); | ||
| } | ||
| } | ||
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| public static void setSupportKafkaMetrics(boolean supportKafkaMetrics) { | ||
| KafkaSinkMetrics.supportKafkaMetrics = supportKafkaMetrics; | ||
| } | ||
| } |
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