Kafka+storm+hbase

本博客基于以下软件：

Centos 7.3（1611）
kafka_2.10-0.10.2.1.tgz
zookeeper-3.4.10.tar.gz
hbase-1.3.1-bin.tar.gz
apache-storm-1.1.0.tar.gz
hadoop-2.8.0.tar.gz
jdk-8u131-linux-x64.tar.gz
IntelliJ IDEA 2017.1.3 x64

IP	role
172.17.11.85	namenode、secondarynamenode、datanode、hmaster、HRegionServer
172.17.11.86	DataNode、HRegionServer
172.17.11.87	DataNode、HRegionServer

1.首先先理一理思路，kafka–>storm

我使用一个生产者给一个固定的Topic下生产数据

public class Producer {
    private final KafkaProducer producer;
    private final String topic;

    public Producer(String topic) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "172.17.11.85:9092,172.17.11.86:9092,172.17.11.87:9092");
        props.put("client.id", "DemoProducer");
        props.put("batch.size", 16384);//16M
        props.put("linger.ms", 1000);
        props.put("buffer.memory", 33554432);//32M
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        producer = new KafkaProducer<>(props);
        this.topic = topic;
    }

    public void producerMsg() throws InterruptedException {
        String data = "Apache Storm is a free and open source distributed realtime computation system Storm makes it easy to reliably process unbounded streams of data doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!\n" +
                "Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.\n" +
                "Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.";
        data = data.replaceAll("[\\pP‘’“”]", "");
        String[] words = data.split(" ");
        Random _rand = new Random();

        Random rnd = new Random();
        int events = 10;
        for (long nEvents = 0; nEvents < events; nEvents++) {
            long runtime = new Date().getTime();
            int lastIPnum = rnd.nextInt(255);
            String ip = "192.168.2." + lastIPnum;
            String msg = words[_rand.nextInt(words.length)];
            try {
                producer.send(new ProducerRecord<>(topic, ip, msg));
                System.out.println("Sent message: (" + ip + ", " + msg + ")");
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
        Thread.sleep(10000);
    }
    public static void main(String[] args) throws InterruptedException {
        Producer producer = new Producer(Constants.TOPIC);
        producer.producerMsg();
    }
}

生产者将在两句英文去除标点 符号之后拆分为单个单词，然后生产到执行的主题下
这应该是没有什么问题的，接下来就是消费者，同时又是Storm的Spout的kafkaSpout:

KafkaSpoutConfig kafkaSpoutConfig = KafkaSpoutConfig
                    .builder(args[0], args[1])
                    .setProp(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true")
                    .setProp(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, 1000)
                    .setProp(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000)
                    .setOffsetCommitPeriodMs(10000)
                    .setGroupId(args[2])
                    .setMaxUncommittedOffsets(250)
                    .setFirstPollOffsetStrategy(KafkaSpoutConfig.FirstPollOffsetStrategy.LATEST)
                    .build();



KafkaSpout kafkaSpout = new KafkaSpout<>(kafkaSpoutConfig);

消费者（Spout）指定的主题消费数据然后发射到下一个Bolt

public class WordCountBolt extends BaseBasicBolt {
    private Map counts = new HashMap<>();

    public void execute(Tuple input, BasicOutputCollector collector) {
        String level = input.getStringByField("value");
        Integer count = counts.get(level);
        if (count == null)
            count = 0;
        count++;
        counts.put(level, count);
        System.out.println("WordCountBolt Receive : "+level+"   "+count);
        collector.emit(new Values(level, count.toString()));
    }

    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("word", "count"));
    }
}

2.storm->hbase

首先要从集群中拷贝下hbase-site.xml配置文件

接下来就是API的调用：

 SimpleHBaseMapper Mapper = new SimpleHBaseMapper()
                    .withRowKeyField("word")
                    .withColumnFields(new Fields("count"))
                    .withColumnFamily("result");
            HBaseBolt hbaseBolt = new HBaseBolt(args[3], Mapper)
                    .withConfigKey("hbase");

3.整个拓扑的构造

builder.setSpout("kafkaSpout", kafkaSpout, 1);
//            builder.setBolt("wordSplitBolt", new WordSplitBolt(), 2)
//                    .shuffleGrouping("kafkaSpout");
            builder.setBolt("countBolt", new WordCountBolt(), 2)
                    .fieldsGrouping("kafkaSpout", new Fields("value"));
            builder.setBolt("HbaseBolt", hbaseBolt, 1)
                    .addConfiguration("hbase", new HashMap())
                    .shuffleGrouping("countBolt");

接下来才是真正重点的时候，重点！重点！重点！

重点1：-pom文件的版本信息

    <dependencies>
        <dependency>
            <groupId>org.apache.stormgroupId>
            <artifactId>storm-coreartifactId>
            <version>1.1.0version>
            
        dependency>
        <dependency>
            <groupId>org.apache.stormgroupId>
            <artifactId>storm-hbaseartifactId>
            <version>1.1.0version>
        dependency>
        <dependency>
            <groupId>org.apache.stormgroupId>
            <artifactId>storm-kafka-clientartifactId>
            <version>1.1.0version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-clientartifactId>
            <version>2.7.3version>
            <exclusions>
                <exclusion>
                    <groupId>org.slf4jgroupId>
                    <artifactId>slf4j-log4j12artifactId>
                exclusion>
            exclusions>
        dependency>
    dependencies>

对的！我导入的是hadoop-client 2.7.3，至于为什么呢？如果我写成2.8.0，那将会产生以下异常

java.lang.NoSuchMethodError: org.apache.hadoop.security.authentication.util.KerberosUtil.hasKerberosTicket(Ljavax/security/auth/Subject;)Z
    at org.apache.hadoop.security.UserGroupInformation.(UserGroupInformation.java:652) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:843) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:802) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:675) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:285) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:281) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User.getCurrent(User.java:185) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.UserProvider.getCurrent(UserProvider.java:88) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.common.HBaseClient.(HBaseClient.java:43) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.AbstractHBaseBolt.prepare(AbstractHBaseBolt.java:75) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.HBaseBolt.prepare(HBaseBolt.java:109) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$fn__5044$fn__5057.invoke(executor.clj:791) ~[storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:482) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]
72750 [Thread-22-HbaseBolt-executor[1 1]] ERROR o.a.s.d.executor - 
java.lang.NoSuchMethodError: org.apache.hadoop.security.authentication.util.KerberosUtil.hasKerberosTicket(Ljavax/security/auth/Subject;)Z
    at org.apache.hadoop.security.UserGroupInformation.(UserGroupInformation.java:652) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:843) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:802) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:675) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:285) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:281) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User.getCurrent(User.java:185) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.UserProvider.getCurrent(UserProvider.java:88) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.common.HBaseClient.(HBaseClient.java:43) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.AbstractHBaseBolt.prepare(AbstractHBaseBolt.java:75) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.HBaseBolt.prepare(HBaseBolt.java:109) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$fn__5044$fn__5057.invoke(executor.clj:791) ~[storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:482) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]
72787 [Thread-22-HbaseBolt-executor[1 1]] ERROR o.a.s.util - Halting process: ("Worker died")
java.lang.RuntimeException: ("Worker died")
    at org.apache.storm.util$exit_process_BANG_.doInvoke(util.clj:341) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.RestFn.invoke(RestFn.java:423) [clojure-1.7.0.jar:?]
    at org.apache.storm.daemon.worker$fn__5642$fn__5643.invoke(worker.clj:759) [storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$mk_executor_data$fn__4863$fn__4864.invoke(executor.clj:274) [storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:494) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]

应该是版本不兼容引起的

重点2：log4j-over-slf4j.jar AND slf4j-log4j12.jar冲突

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/C:/Users/geekp/.m2/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.8/log4j-slf4j-impl-2.8.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/C:/Users/geekp/.m2/repository/org/slf4j/slf4j-log4j12/1.7.10/slf4j-log4j12-1.7.10.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]


....

SLF4J: Detected both log4j-over-slf4j.jar AND slf4j-log4j12.jar on the class path, preempting StackOverflowError. 
SLF4J: See also http://www.slf4j.org/codes.html#log4jDelegationLoop for more details.

[Thread-22-HbaseBolt-executor[1 1]] ERROR o.a.s.util - Async loop died!
java.lang.NoSuchMethodError: org.apache.hadoop.security.authentication.util.KerberosUtil.hasKerberosTicket(Ljavax/security/auth/Subject;)Z
    at org.apache.hadoop.security.UserGroupInformation.(UserGroupInformation.java:652) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:843) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:802) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:675) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:285) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:281) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User.getCurrent(User.java:185) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.UserProvider.getCurrent(UserProvider.java:88) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.common.HBaseClient.(HBaseClient.java:43) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.AbstractHBaseBolt.prepare(AbstractHBaseBolt.java:75) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.HBaseBolt.prepare(HBaseBolt.java:109) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$fn__5044$fn__5057.invoke(executor.clj:791) ~[storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:482) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]
71976 [Thread-22-HbaseBolt-executor[1 1]] ERROR o.a.s.d.executor - 
java.lang.NoSuchMethodError: org.apache.hadoop.security.authentication.util.KerberosUtil.hasKerberosTicket(Ljavax/security/auth/Subject;)Z
    at org.apache.hadoop.security.UserGroupInformation.(UserGroupInformation.java:652) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:843) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:802) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:675) ~[hadoop-common-2.8.0.jar:?]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:285) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User$SecureHadoopUser.(User.java:281) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.User.getCurrent(User.java:185) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.hadoop.hbase.security.UserProvider.getCurrent(UserProvider.java:88) ~[hbase-common-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.common.HBaseClient.(HBaseClient.java:43) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.AbstractHBaseBolt.prepare(AbstractHBaseBolt.java:75) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.hbase.bolt.HBaseBolt.prepare(HBaseBolt.java:109) ~[storm-hbase-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$fn__5044$fn__5057.invoke(executor.clj:791) ~[storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:482) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]
71976 [Thread-26-kafkaSpout-executor[4 4]] INFO  o.a.s.k.s.KafkaSpout - Initialization complete
71992 [Thread-22-HbaseBolt-executor[1 1]] ERROR o.a.s.util - Halting process: ("Worker died")
java.lang.RuntimeException: ("Worker died")
    at org.apache.storm.util$exit_process_BANG_.doInvoke(util.clj:341) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.RestFn.invoke(RestFn.java:423) [clojure-1.7.0.jar:?]
    at org.apache.storm.daemon.worker$fn__5642$fn__5643.invoke(worker.clj:759) [storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.daemon.executor$mk_executor_data$fn__4863$fn__4864.invoke(executor.clj:274) [storm-core-1.1.0.jar:1.1.0]
    at org.apache.storm.util$async_loop$fn__557.invoke(util.clj:494) [storm-core-1.1.0.jar:1.1.0]
    at clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
    at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]

Process finished with exit code 1

这个只需要不引入slf4j-log4j12就可以了，修改一下pom文件：

<dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-clientartifactId>
            <version>2.7.3version>
            <exclusions>
                <exclusion>
                    <groupId>org.slf4jgroupId>
                    <artifactId>slf4j-log4j12artifactId>
                exclusion>
            exclusions>
        dependency>

重点3：在服务器上的Hbase配置文件hbase-site.xml
这个问题真的特别特别重要，md困扰了我一天

我在服务器集群上的配置文件是这样的

<configuration>
<property>
<name>hbase.rootdirname>
<value>hdfs://master:9000/hbasevalue>
property>
<property>
<name>hbase.cluster.distributedname>
<value>truevalue>
property>
<property>
<name>hbase.zookeeper.quorumname>
<value>master,slave1,slave2value>
property>
<property>
<name>hbase.master.info.bindAddressname>
<value>0.0.0.0value>
property>
<property>
<name>hbase.master.info.portname>
<value>16010value>
property>
<property>
<name>hbase.master.portname>
<value>16000value>
property>

configuration>

当我把配置文件下载下来的时候，我就把对应的主机名修改成了IP地址，然而百般无奈，他就是跑不出来，后来经过无数种troubleshooting，才找到了最终的原因
很重要：Hbase并不会完全解析我本地文件，它会从配置文件中得到master的IP地址，然后得到这个IP地址之后，到集群中的master节点下去寻找从节点的IP地址，但是由于我在集群中Hbase安装路径下的conf/zoo.cfg文件中的从节点写的是slave1、slave2，程序拿到名称之后来到windows下的来寻找对应的IP地址，但是！！！！重点是我的hosts文件下并没有写下对应的IP地址。导致它找不到从节点IP地址，这才是死活写不进去Hbase的主谋！！！！！！！！

解决办法是在C:\Windows\System32\drivers\etc\hosts中添加

172.17.11.85 master
172.17.11.86 slave1
172.17.11.87 slave2

这里给自己一个备忘，以后在配置集群的配置文件的视乎能写IP地址的一定要写IP地址！！！！！！！！！！！！！！！！！！！！！！！

最后是通过Hbase shell查到结果，做一个纪念吧，毕竟这些问题折磨了我这么就！附上完整的代码，请戳我的GitHub

stormUI：