1.创建拓扑,配置KafkaSpout、Bolt

KafkaTopologyBasic.java:

package org.mort.storm.kafka;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.kafka.spout.*;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.kafka.spout.KafkaSpoutRetryExponentialBackoff.TimeInterval;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Values; import java.util.List;
import java.util.concurrent.TimeUnit; import static org.apache.storm.kafka.spout.KafkaSpoutConfig.FirstPollOffsetStrategy.LATEST; /**
* 使用Storm消费Kafka数据,构建Storm拓扑(使用TopologyBuilder)
* 实现SentenceBolt、PrinterBolt
*/
public class KafkaTopologyBasic { /**
* JUST_VALUE_FUNC为kafka消息翻译函数
* 此处简单的将其输出
*/
private static Func<ConsumerRecord<String, String>, List<Object>> JUST_VALUE_FUNC = new Func<ConsumerRecord<String, String>, List<Object>>() {
@Override
public List<Object> apply(ConsumerRecord<String, String> record) {
return new Values(record.value());
}
}; /**
* KafkaSpout重试策略
* @return
*/
protected KafkaSpoutRetryService newRetryService() {
return new KafkaSpoutRetryExponentialBackoff(new TimeInterval(500L, TimeUnit.MICROSECONDS), TimeInterval.milliSeconds(2),
Integer.MAX_VALUE, TimeInterval.seconds(10));
} /**
* KafkaSpout配置
* 新版本的KafkaSpout通过KafkaSpoutConfig类进行配置,KafkaSpoutConfig定义了kafka相关的环境、主题、重试策略、消费的初始偏移量等等参数。
* @return
*/
protected KafkaSpoutConfig<String, String> newKafkaSpoutConfig() {
return KafkaSpoutConfig.builder("192.168.1.201:9092", "first").setProp(ConsumerConfig.GROUP_ID_CONFIG, "kafkaSpoutTestGroup")
.setProp(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, 200).setRecordTranslator(JUST_VALUE_FUNC, new Fields("str"))
.setRetry(newRetryService()).setOffsetCommitPeriodMs(10000).setFirstPollOffsetStrategy(LATEST)
.setMaxUncommittedOffsets(250).build();
} /**
* 将上述bolt和spout以及配置类组合,配置topology
* 构建Storm拓扑(使用TopologyBuilder)
* @return
*/
public StormTopology buildTopology() {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("KafkaSpout", new KafkaSpout<String, String>(newKafkaSpoutConfig()), 1);
builder.setBolt("SentenceBolt", new SentenceBolt(), 1).globalGrouping("KafkaSpout");
builder.setBolt("PrinterBolt", new PrinterBolt(), 1).globalGrouping("SentenceBolt");
return builder.createTopology();
} public final static boolean isCluster = true; public static void main(String[] args) {
// 1 创建拓扑
KafkaTopologyBasic kb = new KafkaTopologyBasic();
StormTopology topology = kb.buildTopology(); // 2 创建配置信息对象
Config conf = new Config();
// 配置Worker开启个数
conf.setNumWorkers(4); // 3 提交程序
if(isCluster){
try {
// 分布式提交
StormSubmitter.submitTopology("SentenceTopology", conf, topology);
}catch (Exception e){
e.printStackTrace();
}
}else {
// 本地提交
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("KafkaToplogy", conf, topology);
try {
// Wait for some time before exiting
System.out.println("Waiting to consume from kafka");
Thread.sleep(300000);
} catch (Exception exception) {
System.out.println("Thread interrupted exception : " + exception);
}
// kill the KafkaTopology
cluster.killTopology("KafkaToplogy");
// shut down the storm test cluster
cluster.shutdown();
}
}
}

PrinterBolt.java:

package org.mort.storm.kafka;

import org.apache.storm.topology.BasicOutputCollector;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseBasicBolt;
import org.apache.storm.tuple.Tuple;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; /**
* 用于打印输出Sentence的Bolt
*/
public class PrinterBolt extends BaseBasicBolt { private static final long serialVersionUID = 1L; private static final Logger logger = LoggerFactory.getLogger(PrinterBolt.class); @Override
public void execute(Tuple input, BasicOutputCollector collector) {
// get the sentence from the tuple and print it
String sentence = input.getString(0);
logger.info("Received Sentence: " + sentence);
System.out.println("Received Sentence: " + sentence);
} @Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
// we don't emit anything
}
}

SentenceBolt.java

package org.mort.storm.kafka;

import java.util.ArrayList;
import java.util.List; import org.apache.commons.lang.StringUtils;
import org.apache.storm.topology.BasicOutputCollector;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseBasicBolt;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; /**
* 写一组将输入的单词拼成一句话的bolt类,每行输入一个单词,当输入符号“.”时,视为一句话结束。
*/
public class SentenceBolt extends BaseBasicBolt { private static final long serialVersionUID = 1L; private static final Logger logger = LoggerFactory.getLogger(SentenceBolt.class); private List<String> words = new ArrayList<String>(); @Override
public void execute(Tuple input, BasicOutputCollector collector) {
// Get the word from the tuple
String word = input.getString(0);
if (StringUtils.isBlank(word)) {
// ignore blank lines
return;
}
logger.info("Received Word:" + word);
System.out.println("Received Word:" + word);
// add word to current list of words
words.add(word);
if (word.endsWith(".")) {
// word ends with '.' which means this is the end
// the SentenceBolt publishes a sentence tuple
collector.emit(new Values(StringUtils.join(words, ' ')));
// and reset the words list.
words.clear();
}
} @Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("sentence"));
} }

2.pom.xml设置

1)设置利用maven-assembly-plugin生成jar包方式

<build>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass>org.mort.storm.kafka.KafkaTopologyBasic</mainClass>
</manifest>
</archive>
</configuration>
</plugin>
</plugins>
</build>

2)依赖包添加

注意storm-core依赖为了防止执行时冲突需要添加<scope>provided</scope>(本地运行时去掉、打包时加上)

<dependencies>
<dependency> <!-- 桥接:告诉Slf4j使用Log4j2 -->
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-slf4j-impl</artifactId>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>26.0-jre</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>1.2.3</version>
<scope>provided</scope>
</dependency>
<!-- storm-kafka连接客户端 -->
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-kafka-client</artifactId>
<version>1.2.3</version>
</dependency>
<!-- kafka连接客户端 -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>2.0.1</version>
</dependency>
</dependencies>

3.执行assembly:assembly生成jar包

Storm消费Kafka提交集群运行-LMLPHP

4.复制jar包到集群,执行命令

bin/storm jar /opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar org.mort.storm.kafka.KafkaTopologyBasic
bin/storm jar [jar包路径] [main所在类名]

执行效果:

[root@hadoop201 apache-storm-1.2.]# bin/storm jar /opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar org.mort.storm.kafka.KafkaTopologyBasic
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/apache-storm-1.2./lib/log4j-slf4j-impl-2.8..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Running: /opt/module/jdk1..0_144/bin/java -client -Ddaemon.name= -Dstorm.options= -Dstorm.home=/opt/module/apache-storm-1.2. -Dstorm.log.dir=/opt/module/apache-storm-1.2./logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /opt/module/apache-storm-1.2./*:/opt/module/apache-storm-1.2.3/lib/*:/opt/module/apache-storm-1.2.3/extlib/*:/opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar:/opt/module/apache-storm-1.2.3/conf:/opt/module/apache-storm-1.2.3/bin -Dstorm.jar=/opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar -Dstorm.dependency.jars= -Dstorm.dependency.artifacts={} org.mort.storm.kafka.KafkaTopologyBasic
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/apache-storm-1.2.3/lib/log4j-slf4j-impl-2.8.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
5481 [main] INFO o.a.s.k.s.KafkaSpoutConfig - Setting Kafka consumer property 'auto.offset.reset' to 'earliest' to ensure at-least-once processing
5564 [main] INFO o.a.s.k.s.KafkaSpoutConfig - Setting Kafka consumer property 'enable.auto.commit' to 'false', because the spout does not support auto-commit
7441 [main] WARN o.a.s.u.Utils - STORM-VERSION new 1.2.3 old null
7658 [main] INFO o.a.s.StormSubmitter - Generated ZooKeeper secret payload for MD5-digest: -8420262939352556619:-8011743779888436007
8316 [main] INFO o.a.s.u.NimbusClient - Found leader nimbus : hadoop201.com:6627
8388 [main] INFO o.a.s.s.a.AuthUtils - Got AutoCreds []
8426 [main] INFO o.a.s.u.NimbusClient - Found leader nimbus : hadoop201.com:6627
8661 [main] INFO o.a.s.StormSubmitter - Uploading dependencies - jars...
8661 [main] INFO o.a.s.StormSubmitter - Uploading dependencies - artifacts...
8662 [main] INFO o.a.s.StormSubmitter - Dependency Blob keys - jars : [] / artifacts : []
8751 [main] INFO o.a.s.StormSubmitter - Uploading topology jar /opt/run/storm-demo-1.0-SNAPSHOT-jar-with-dependencies.jar to assigned location: /opt/module/apache-storm-1.2.3/data/nimbus/inbox/stormjar-c0d5b00a-b07e-48f1-ac4d-871c5b3f635d.jar
9815 [main] INFO o.a.s.StormSubmitter - Successfully uploaded topology jar to assigned location: /opt/module/apache-storm-1.2.3/data/nimbus/inbox/stormjar-c0d5b00a-b07e-48f1-ac4d-871c5b3f635d.jar
9815 [main] INFO o.a.s.StormSubmitter - Submitting topology SentenceTopology in distributed mode with conf {"topology.workers":4,"storm.zookeeper.topology.auth.scheme":"digest","storm.zookeeper.topology.auth.payload":"-8420262939352556619:-8011743779888436007"}
9815 [main] WARN o.a.s.u.Utils - STORM-VERSION new 1.2.3 old 1.2.3
11935 [main] INFO o.a.s.StormSubmitter - Finished submitting topology: SentenceTopology

5.通过UI查看执行情况

Storm消费Kafka提交集群运行-LMLPHP

Storm消费Kafka提交集群运行-LMLPHP

05-11 17:04