Github user srdo commented on a diff in the pull request:
https://github.com/apache/storm/pull/2480#discussion_r158959415
--- Diff:
external/storm-kafka-client/src/main/java/org/apache/storm/kafka/spout/metrics/KafkaOffsetMetric.java
---
@@ -0,0 +1,114 @@
+/**
+ * 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.storm.kafka.spout.metrics;
+
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+import org.apache.kafka.common.TopicPartition;
+import org.apache.storm.kafka.spout.internal.OffsetManager;
+import org.apache.storm.metric.api.IMetric;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Set;
+
+public class KafkaOffsetMetric implements IMetric {
+
+ private static final Logger LOG =
LoggerFactory.getLogger(KafkaOffsetMetric.class);
+ private Map<TopicPartition, OffsetManager> offsetManagers;
+ private KafkaConsumer kafkaConsumer;
+
+ public KafkaOffsetMetric(Map<TopicPartition, OffsetManager>
offsetManagers) {
+ this.offsetManagers = offsetManagers;
+ }
+
+ @Override
+ public Object getValueAndReset() {
+ try {
+ HashMap<String, Long> ret = new HashMap<>();
+ if (offsetManagers != null && !offsetManagers.isEmpty() &&
kafkaConsumer != null) {
+ Map<String,TopicMetrics> topicMetricsMap = new HashMap<>();
+ Set<TopicPartition> topicPartitions =
offsetManagers.keySet();
+
+ Map<TopicPartition, Long> beginningOffsets=
kafkaConsumer.beginningOffsets(topicPartitions);
+ Map<TopicPartition, Long> endOffsets=
kafkaConsumer.endOffsets(topicPartitions);
+
+ for (Map.Entry<TopicPartition, OffsetManager> entry :
offsetManagers.entrySet()) {
+ TopicPartition topicPartition = entry.getKey();
+ OffsetManager offsetManager = entry.getValue();
+
+ long latestTimeOffset = endOffsets.get(topicPartition);
+ long earliestTimeOffset =
beginningOffsets.get(topicPartition);
+
+ long latestEmittedOffset =
offsetManager.getLatestEmittedOffset();
+ long latestCompletedOffset =
offsetManager.getCommittedOffset();
+ long spoutLag = latestTimeOffset -
latestCompletedOffset;
+
+ String metricPath = topicPartition.topic() +
"/partition_" + topicPartition.partition();
+ ret.put(metricPath + "/" + "spoutLag", spoutLag);
+ ret.put(metricPath + "/" + "earliestTimeOffset",
earliestTimeOffset);
+ ret.put(metricPath + "/" + "latestTimeOffset",
latestTimeOffset);
+ ret.put(metricPath + "/" + "latestEmittedOffset",
latestEmittedOffset);
+ ret.put(metricPath + "/" + "latestCompletedOffset",
latestCompletedOffset);
+
+ TopicMetrics topicMetrics =
topicMetricsMap.get(topicPartition.topic());
+ if(topicMetrics == null) {
+ topicMetrics = new TopicMetrics();
+ topicMetricsMap.put(topicPartition.topic(),
topicMetrics);
+ }
+
+ topicMetrics.totalSpoutLag += spoutLag;
+ topicMetrics.totalEarliestTimeOffset +=
earliestTimeOffset;
+ topicMetrics.totalLatestTimeOffset += latestTimeOffset;
+ topicMetrics.totalLatestEmittedOffset +=
latestEmittedOffset;
+ topicMetrics.totalLatestCompletedOffset +=
latestCompletedOffset;
+ }
+
+ for(Map.Entry<String, TopicMetrics> e :
topicMetricsMap.entrySet()) {
+ String topic = e.getKey();
+ TopicMetrics topicMetrics = e.getValue();
+ ret.put(topic + "/" + "totalSpoutLag",
topicMetrics.totalSpoutLag);
+ ret.put(topic + "/" + "totalEarliestTimeOffset",
topicMetrics.totalEarliestTimeOffset);
+ ret.put(topic + "/" + "totalLatestTimeOffset",
topicMetrics.totalLatestTimeOffset);
+ ret.put(topic + "/" + "totalLatestEmittedOffset",
topicMetrics.totalLatestEmittedOffset);
+ ret.put(topic + "/" + "totalLatestCompletedOffset",
topicMetrics.totalLatestCompletedOffset);
+ }
+ LOG.debug("Metrics Tick: value : {}", ret);
+ return ret;
+ } else {
+ LOG.info("Metrics Tick: Not enough data to calculate spout
lag.");
+ }
+ } catch (Exception t) {
--- End diff --
Sorry, I wasn't being clear with my earlier comment: Why are we catching
exceptions here at all?
---
