kafka监控获取指定topic的消息总量示例
作者:扎克begod
今天小编就为大家分享一篇kafka监控获取指定topic的消息总量示例,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
我就废话不多说了,直接 上代码吧!
import kafka.api.PartitionOffsetRequestInfo; import kafka.common.TopicAndPartition; import kafka.javaapi.OffsetResponse; import kafka.javaapi.PartitionMetadata; import kafka.javaapi.TopicMetadata; import kafka.javaapi.TopicMetadataRequest; import kafka.javaapi.consumer.SimpleConsumer; import java.util.*; import java.util.Map.Entry; public class KafkaOffsetTools { public final static String KAFKA_TOPIC_NAME_ADAPTER = "sample"; public final static String KAFKA_TOPIC_NAME_EXCEPTION = "exception"; public final static String KAFKA_TOPIC_NAME_AUDIT = "audit"; private static final String rawTopicTotal = "rawTopicTotalRecordCounter"; private static final String avroTopicTotal = "avroTopicTotalRecordCounter"; private static final String exceptionTopicTotal = "exceptionTopicTotalRecordCounter"; public KafkaOffsetTools() { } public static long getLastOffset(SimpleConsumer consumer, String topic, int partition, long whichTime, String clientName) { TopicAndPartition topicAndPartition = new TopicAndPartition(topic, partition); Map, PartitionOffsetRequestInfo> requestInfo = new HashMap, PartitionOffsetRequestInfo>(); requestInfo.put(topicAndPartition, new PartitionOffsetRequestInfo( whichTime, 1)); kafka.javaapi.OffsetRequest request = new kafka.javaapi.OffsetRequest( requestInfo, kafka.api.OffsetRequest.CurrentVersion(), clientName); OffsetResponse response = consumer.getOffsetsBefore(request); if (response.hasError()) { System.err.println("Error fetching data Offset Data the Broker. Reason: " + response.errorCode(topic, partition)); return 0; } long[] offsets = response.offsets(topic, partition); return offsets[0]; } private TreeMap, PartitionMetadata> findLeader(List a_seedBrokers, String a_topic) { TreeMap, PartitionMetadata> map = new TreeMap, PartitionMetadata>(); loop: for (String seed : a_seedBrokers) { SimpleConsumer consumer = null; try { String[] hostAndPort; hostAndPort = seed.split(":"); consumer = new SimpleConsumer(hostAndPort[0], Integer.valueOf(hostAndPort[1]), 100000, 64 * 1024, "leaderLookup" + new Date().getTime()); List topics = Collections.singletonList(a_topic); TopicMetadataRequest req = new TopicMetadataRequest(topics); kafka.javaapi.TopicMetadataResponse resp = consumer.send(req); List metaData = resp.topicsMetadata(); for (TopicMetadata item : metaData) { for (PartitionMetadata part : item.partitionsMetadata()) { map.put(part.partitionId(), part); } } } catch (Exception e) { System.out.println("Error communicating with Broker [" + seed + "] to find Leader for [" + a_topic + ", ] Reason: " + e); } finally { if (consumer != null) consumer.close(); } } return map; } public static void main(String[] args) { String kafkaBrokerList = System.getenv("metadata.broker.list"); if(kafkaBrokerList == null || kafkaBrokerList.length() == 0){ System.err.println("No config kafka metadata.broker.list,it is null ."); //for test kafkaBrokerList = "localhost:9092,localhost:9093"; System.err.println("Use this broker list for test,metadata.broker.list="+kafkaBrokerList); } //init topic,logSize = 0 Map,Integer> topics = new HashMap,Integer>(); topics.put(KAFKA_TOPIC_NAME_ADAPTER,0); topics.put(KAFKA_TOPIC_NAME_EXCEPTION,0); topics.put(KAFKA_TOPIC_NAME_AUDIT,0); //init kafka broker list String[] kafkaHosts; kafkaHosts = kafkaBrokerList.split(","); if (kafkaHosts == null || kafkaHosts.length == 0) { System.err.println("No config kafka metadata.broker.list,it is null ."); System.exit(1); } List seeds = new ArrayList(); for (int i = 0; i < kafkaHosts.length; i++) { seeds.add(kafkaHosts[i]); } KafkaOffsetTools kot = new KafkaOffsetTools(); for(String topicName : topics.keySet()){ TreeMap, PartitionMetadata> metadatas = kot.findLeader(seeds, topicName); int logSize = 0; for (Entry, PartitionMetadata> entry : metadatas.entrySet()) { int partition = entry.getKey(); String leadBroker = entry.getValue().leader().host(); String clientName = "Client_" + topicName + "_" + partition; SimpleConsumer consumer = new SimpleConsumer(leadBroker, entry.getValue().leader().port(), 100000, 64 * 1024, clientName); long readOffset = getLastOffset(consumer, topicName, partition, kafka.api.OffsetRequest.LatestTime(), clientName); logSize += readOffset; if (consumer != null) consumer.close(); } topics.put(topicName,logSize); } System.out.println(topics.toString()); System.out.println(rawTopicTotal+"="+topics.get(KAFKA_TOPIC_NAME_ADAPTER)+" "+System.currentTimeMillis()); System.out.println(avroTopicTotal+"="+topics.get(KAFKA_TOPIC_NAME_AUDIT)+" "+System.currentTimeMillis()); System.out.println(exceptionTopicTotal+"="+topics.get(KAFKA_TOPIC_NAME_EXCEPTION)+" "+System.currentTimeMillis()); } }
以上这篇kafka监控获取指定topic的消息总量示例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持脚本之家。