
在大数据时代,企业每天要处理数以亿计的实时数据,比如用户点击、传感器信号、交易记录等,传统消息系统在吞吐量、延迟、可靠性上逐渐力不从心。而Kafka作为一款开源分布式事件流处理平台,凭借“高吞吐、低延迟、可扩展、强可靠”的特性,成为全球超80%大数据场景的首选工具,更是大数据生态中日志收集、流式计算、数据同步的核心组件。
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在大数据时代,企业每天要处理数以亿计的实时数据,比如用户点击、传感器信号、交易记录等,传统消息系统在吞吐量、延迟、可靠性上逐渐力不从心。而Kafka作为一款开源分布式事件流处理平台,凭借“高吞吐、低延迟、可扩展、强可靠”的特性,成为全球超80%大数据场景的首选工具,更是大数据生态中日志收集、流式计算、数据同步的核心组件。
1、MqConsumerGroup.java
package com.neohope.kafka.test;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
public class MqConsumerGroup {
private final ConsumerConnector consumer;
private final String topic;
private ExecutorService executor;
private ConsumerThread[] m_Threads;
public MqConsumerGroup(String a_zookeeper, String a_groupId, String a_topic) {
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(
createConsumerConfig(a_zookeeper, a_groupId));
this.topic = a_topic;
}
public void shutdown() {
if (consumer != null) consumer.shutdown();
if (executor != null) executor.shutdown();
try {
if (!executor.awaitTermination(5000, TimeUnit.MILLISECONDS)) {
System.out.println("Timed out waiting for consumer threads to shut down, exiting uncleanly");
}
} catch (InterruptedException e) {
System.out.println("Interrupted during shutdown, exiting uncleanly");
}
}
public void run(int a_numThreads) throws InterruptedException {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(a_numThreads));
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
// now launch all the threads
//
executor = Executors.newFixedThreadPool(a_numThreads);
// now create an object to consume the messages
//
m_Threads = new ConsumerThread[a_numThreads];
int threadNumber = 0;
for (final KafkaStream stream : streams) {
m_Threads[threadNumber] = new ConsumerThread(stream, threadNumber);
executor.submit(m_Threads[threadNumber]);
threadNumber++;
}
}
public void WaitForEnd(int a_numThreads) throws InterruptedException {
boolean bEnd =false;
while(!bEnd) {
Thread.sleep(200);
for (int threadNumber = 0; threadNumber < a_numThreads; threadNumber++) {
if (m_Threads[threadNumber].m_end)
{
bEnd = true;
}
}
}
}
private static ConsumerConfig createConsumerConfig(String a_zookeeper, String a_groupId) {
Properties props = new Properties();
props.put("zookeeper.connect", a_zookeeper);
props.put("group.id", a_groupId);
props.put("zookeeper.session.timeout.ms", "400");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
return new ConsumerConfig(props);
}
public static void main(String[] args) throws InterruptedException {
String zooKeeper = "localhost:2181";
String groupId = "group1";
String topic = "neoTopic";
int threads = 2;
MqConsumerGroup mqcGroup = new MqConsumerGroup(zooKeeper, groupId, topic);
mqcGroup.run(threads);
mqcGroup.WaitForEnd(threads);
mqcGroup.shutdown();
}
}
1、MqConsumer.java
package com.neohope.kafka.test;
import kafka.api.FetchRequest;
import kafka.api.FetchRequestBuilder;
import kafka.api.PartitionOffsetRequestInfo;
import kafka.common.ErrorMapping;
import kafka.common.TopicAndPartition;
import kafka.javaapi.*;
import kafka.javaapi.consumer.SimpleConsumer;
import kafka.message.MessageAndOffset;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class MqConsumer {
private List<String> m_replicaBrokers = new ArrayList<String>();
public MqConsumer() {
m_replicaBrokers = new ArrayList<String>();
}
public void run(String a_topic, int a_partition, List<String> a_seedBrokers, int a_port) throws Exception {
// find the meta data about the topic and partition we are interested in
//
PartitionMetadata metadata = findLeader(a_seedBrokers, a_port, a_topic, a_partition);
if (metadata == null) {
System.out.println("Can't find metadata for Topic and Partition. Exiting");
return;
}
if (metadata.leader() == null) {
System.out.println("Can't find Leader for Topic and Partition. Exiting");
return;
}
String leadBroker = metadata.leader().host();
String clientName = "Client_" + a_topic + "_" + a_partition;
SimpleConsumer consumer = new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024, clientName);
long readOffset = getLastOffset(consumer,a_topic, a_partition, kafka.api.OffsetRequest.EarliestTime(), clientName);
boolean bEnd =false;
while (!bEnd) {
if (consumer == null) {
consumer = new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024, clientName);
}
FetchRequest req = new FetchRequestBuilder()
.clientId(clientName)
.addFetch(a_topic, a_partition, readOffset, 100000) // Note: this fetchSize of 100000 might need to be increased if large batches are written to Kafka
.build();
FetchResponse fetchResponse = consumer.fetch(req);
if (fetchResponse.hasError()) {
// Something went wrong!
short code = fetchResponse.errorCode(a_topic, a_partition);
System.out.println("Error fetching data from the Broker:" + leadBroker + " Reason: " + code);
if (code == ErrorMapping.OffsetOutOfRangeCode()) {
// We asked for an invalid offset. For simple case ask for the last element to reset
readOffset = getLastOffset(consumer,a_topic, a_partition, kafka.api.OffsetRequest.LatestTime(), clientName);
continue;
}
consumer.close();
consumer = null;
leadBroker = findNewLeader(leadBroker, a_topic, a_partition, a_port);
continue;
}
for (MessageAndOffset messageAndOffset : fetchResponse.messageSet(a_topic, a_partition)) {
long currentOffset = messageAndOffset.offset();
if (currentOffset < readOffset) {
System.out.println("Found an old offset: " + currentOffset + " Expecting: " + readOffset);
continue;
}
readOffset = messageAndOffset.nextOffset();
ByteBuffer key = messageAndOffset.message().key();
byte[] bytesKey = new byte[key.limit()];
key.get(bytesKey);
String szKey = new String(bytesKey, "UTF-8");
if(szKey.equals("-=END=-"))bEnd =true;
ByteBuffer payload = messageAndOffset.message().payload();
byte[] bytesPayload = new byte[payload.limit()];
payload.get(bytesPayload);
String szPaylaod = new String(bytesPayload, "UTF-8");
String offset = String.valueOf(messageAndOffset.offset());
System.out.println("offset=" + offset+ " key=" + szKey +" value="+szPaylaod);
}
Thread.sleep(1000);
}
if (consumer != null) consumer.close();
}
public static long getLastOffset(SimpleConsumer consumer, String topic, int partition,
long whichTime, String clientName) {
TopicAndPartition topicAndPartition = new TopicAndPartition(topic, partition);
Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<TopicAndPartition, 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.out.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 String findNewLeader(String a_oldLeader, String a_topic, int a_partition, int a_port) throws Exception {
for (int i = 0; i < 3; i++) {
boolean goToSleep = false;
PartitionMetadata metadata = findLeader(m_replicaBrokers, a_port, a_topic, a_partition);
if (metadata == null) {
goToSleep = true;
} else if (metadata.leader() == null) {
goToSleep = true;
} else if (a_oldLeader.equalsIgnoreCase(metadata.leader().host()) && i == 0) {
// first time through if the leader hasn't changed give ZooKeeper a second to recover
// second time, assume the broker did recover before failover, or it was a non-Broker issue
//
goToSleep = true;
} else {
return metadata.leader().host();
}
if (goToSleep) {
try {
Thread.sleep(1000);
} catch (InterruptedException ie) {
}
}
}
System.out.println("Unable to find new leader after Broker failure. Exiting");
throw new Exception("Unable to find new leader after Broker failure. Exiting");
}
private PartitionMetadata findLeader(List<String> a_seedBrokers, int a_port, String a_topic, int a_partition) {
PartitionMetadata returnMetaData = null;
loop:
for (String seed : a_seedBrokers) {
SimpleConsumer consumer = null;
try {
consumer = new SimpleConsumer(seed, a_port, 100000, 64 * 1024, "leaderLookup");
List<String> topics = Collections.singletonList(a_topic);
TopicMetadataRequest req = new TopicMetadataRequest(topics);
kafka.javaapi.TopicMetadataResponse resp = consumer.send(req);
List<TopicMetadata> metaData = resp.topicsMetadata();
for (TopicMetadata item : metaData) {
for (PartitionMetadata part : item.partitionsMetadata()) {
if (part.partitionId() == a_partition) {
returnMetaData = part;
break loop;
}
}
}
} catch (Exception e) {
System.out.println("Error communicating with Broker [" + seed + "] to find Leader for [" + a_topic
+ ", " + a_partition + "] Reason: " + e);
} finally {
if (consumer != null) consumer.close();
}
}
if (returnMetaData != null) {
m_replicaBrokers.clear();
for (kafka.cluster.BrokerEndPoint replica : returnMetaData.replicas()) {
m_replicaBrokers.add(replica.host());
}
}
return returnMetaData;
}
public static void main(String args[]) {
MqConsumer mqc = new MqConsumer();
List<String> seeds = new ArrayList<String>();
seeds.add("localhost");
String topic = "neoTopic";
int partition = 0;
int port = 9092;
try {
mqc.run(topic, partition, seeds, port);
} catch (Exception e) {
e.printStackTrace();
}
}
}
1、MqProducer.java
package com.neohope.kafka.test;
import java.util.*;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
public class MqProducer {
public static void main(String[] args) {
Properties props = new Properties();
props.put("metadata.broker.list", "localhost:9092");
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("partitioner.class", "com.neohope.kafka.test.SimplePartitioner");
props.put("request.required.acks", "1");
ProducerConfig config = new ProducerConfig(props);
Producer<String, String> producer = new Producer<String, String>(config);
for(int i=0;i<100;i++) {
KeyedMessage<String, String> data = new KeyedMessage<String, String>("neoTopic", "key"+i, "value"+i);
producer.send(data);
}
KeyedMessage<String, String> data = new KeyedMessage<String, String>("neoTopic", "-=END=-", "-=END=-");
producer.send(data);
producer.close();
}
}