idea运行hbase出现IllegalArgumentException: java.net.UnknownHostException: qf和ExceptionInInitializerError

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HBase启动RegionServer时报UnknownHostException错误的解决方法 HBase启动RegionServer时报错：ERROR [main] regionserver.HRegionServer: Failed construction RegionServer java.lang.IllegalArgumentException: java.net.UnknownHostException: xxx原因是hbase-site.xml文件的hbase.rootdir属性的值用的是ZooKeeper的入口，即dfs.nameservices的值解决方法：把/hadoop/etc 阅读详情

使用idea运行hbase程序（功能 hbase数据导入hdfs）出现如下错误：
（这个没有打成jar包到服务器运行而是打成jar包在本地运行）
网上每个人遇到的这个问题的原因不同的我看了好多都不一样
我这里是因为缺失了ha的配置文件即 hdsfs-site.xml 加上就好了

还有下面我写的1. 和2.这两点有知道原因的请指点一下

Exception in thread "main" java.lang.ExceptionInInitializerError
	at org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.convertScanToString(TableMapReduceUtil.java:556)
	at org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.initTableMapperJob(TableMapReduceUtil.java:201)
	at org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.initTableMapperJob(TableMapReduceUtil.java:162)
	at org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.initTableMapperJob(TableMapReduceUtil.java:285)
	at org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.initTableMapperJob(TableMapReduceUtil.java:86)
	at com.qf.mr.HBase2HDF_SDemo1.run(HBase2HDF_SDemo1.java:87)
	at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
	at com.qf.mr.HBase2HDF_SDemo1.main(HBase2HDF_SDemo1.java:116)
Caused by: java.lang.IllegalArgumentException: java.net.UnknownHostException: qf
	at org.apache.hadoop.security.SecurityUtil.buildTokenService(SecurityUtil.java:418)
	at org.apache.hadoop.hdfs.NameNodeProxiesClient.createProxyWithClientProtocol(NameNodeProxiesClient.java:130)
	at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:343)
	at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:287)
	at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:156)
	at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2811)
	at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:100)
	at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2848)
	at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2830)
	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:389)
	at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
	at org.apache.hadoop.hbase.util.DynamicClassLoader.initTempDir(DynamicClassLoader.java:120)
	at org.apache.hadoop.hbase.util.DynamicClassLoader.<init>(DynamicClassLoader.java:98)
	at org.apache.hadoop.hbase.protobuf.ProtobufUtil.<clinit>(ProtobufUtil.java:243)
	... 8 more
Caused by: java.net.UnknownHostException: qf
	... 22 more

Process finished with exit code 1

首先
我这是在idea这边运行将hbase数据导入hdfs的一个小Demo
没有使用key value的方式而是使用加载xml文件的方式这两种方式在我另一篇博客有介绍（写完这篇就写）
在这里插入图片描述
我先说我的解决办法
1.我原先只有两个文件 core-site.xml hbase-site.xml

加上了
hdfs-site.xml文件
这个东西加到idea中去就好了去掉就出错误就是上面的我反复试了好几遍

猜想：我觉得可能是我这的hdfs使用了ha 高可用但是找不到相关配置文件
导致出现错误
因为刚开始我搜的是第一句Exception in thread "main" java.lang.ExceptionInInitializerError
没找到答案
然后过了一会儿才看到下面的Caused by: java.lang.IllegalArgumentException: java.net.UnknownHostException: qf
一看是我的ha的虚拟名字 qf
猜想这里出了问题

然后我又想到了
我的另一篇博客 HBase全分布式搭建
还有解决我以前问题的博客
hadoop配置ha后，hbase配置的变化

这俩里面是让 hdfs-site.xml和core-site.xml复制到hbase的conf目录下。不然会报找不到qf的错误
然后我就想到会不会是我在idea的错误也缺少这个
所以就这样了

2.同时我还注意到我只加载了这俩文件
新加进resources的hdfs-site.xml并没有使用代码加载也行竟然可能是自动加载了吧知道的请指点一下
在这里插入图片描述

下面贴出我的代码不看也行
在这里插入图片描述
在idea的配置

1.第一个是表示以root用户方式运行
-DHADOOP_USER_NAME=root
2.第二个是写输出路径到hdfs上

然后直接运行即可
对了我那个 Windows系统下运行hadoop、HBase程序出错Could not locate executablenull\bin\winutils.exe in the Hadoop binaries 这个东西也装上了

/**
 * 作者:Shishuai
 * 文件名：HBase2HDFS
 * 时间：2019/8/17 16:00
 */

package com.qf.mr;

import cn.qphone.mr.Demo1_HBase2HDFS;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellScanner;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
//不要导错了包  org.apache.hadoop.mapred.FileOutputFormat  这个不对
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import java.io.IOException;

public class HBase2HDF_SDemo1 extends ToolRunner implements Tool {
    private Configuration configuration;
    private final String HDFS_KEY = "fs.defaultFS";
    private final String HDFS_VALUE = "hdfs://qf";
    private final String MR_KEY = "mapreduce.framework.name";
    private final String MR_VALUE = "yarn";
    private final String HBASE_KEY = "hbase.zookeeper.quorum";
    private final String HBASE_VALUE = "hadoop01:2181,hadoop02:2181,hadoop03:2181";


    private Scan getScan(){
        return new Scan();
    }

    static class HBase2HDFSMapper extends TableMapper<Text, NullWritable> {
        private Text k = new Text();
        /**
         *  001    column=base_info:age, timestamp=1558348072062, value=20
         *  001    column=base_info:name, timestamp=1558348048716, value=lixi
         *
         *
         *  001 base_info:age   20  base_info:name  lixi
         */
        protected void map(ImmutableBytesWritable key, Result value, Context context) throws IOException, InterruptedException {
            //1. 创建StringBuffer用于拼凑字符串
            StringBuffer sb = new StringBuffer();
            //2. 遍历result中的所有的列簇
            CellScanner scanner = value.cellScanner();
            int index = 0;
            while(scanner.advance()){
                //3. 获取到当前的cell，然后决定拼串的方式
                Cell cell = scanner.current();
                if(index == 0){
                    sb.append(new String(CellUtil.cloneRow(cell))).append("\t");
                    index++;
                }
                sb.append(new String(CellUtil.cloneQualifier(cell))).append(":")
                        .append(new String(CellUtil.cloneValue(cell))).append("\t");
            }
            //4. 输出
            k.set(sb.toString());
            context.write(k, NullWritable.get());
        }
    }

    @Override
    public int run(String[] args) throws Exception {

        configuration = getConf();
        //2. 获取到job
        Job job = Job.getInstance(configuration);
        //3. map，reduce(mapper/reducer的class，还要设置mapper/reducer的输出的key/value的class)
        job.setMapperClass(HBase2HDFSMapper.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(NullWritable.class);
        //4. 输出和输入的参数（输入的目录和输出的目录）
        TableMapReduceUtil.initTableMapperJob("user_info", getScan(), HBase2HDFSMapper.class,Text.class, NullWritable.class, job);
        FileOutputFormat.setOutputPath(job, new Path(args[0]));

        //5. 设置驱动jar包的路径
        job.setJar("C:\\Users\\HP\\IdeaProjects\\HBaseHighRank\\target\\HBaseHighRank-1.0-SNAPSHOT.jar");
//        job.setJarByClass(Demo1_HBase2HDFS.class);
        //6. 提交作业（job）
        return job.waitForCompletion(true) ? 0 : 1;// 打印提交过程的日志记录并且提交作业


    }

    @Override
    public void setConf(Configuration configuration) {
        //1. 保证连接hdfs、连接yarn、连接hbase
//         configuration.set(HDFS_KEY,HDFS_VALUE);
//        configuration.set(MR_KEY,MR_VALUE);
//         configuration.set(HBASE_KEY,HBASE_VALUE);
        configuration.addResource("core-site.xml");
        configuration.addResource("hbase-site.xml");
        this.configuration = configuration;
    }

    @Override
    public Configuration getConf() {
        return configuration;
    }

    public static void main(String[] args) throws Exception {
        ToolRunner.run(HBaseConfiguration.create(), new HBase2HDF_SDemo1(), args);
    }
}

/**
 * 作者:Shishuai
 * 文件名：HBaseUtils
 * 时间：2019/8/17 16:01
 */

package com.qf.mr;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;

import java.io.IOException;
import java.util.Iterator;

public class HBaseUtilsDemo {
    private final static String KEY = "hbase.zookeeper.quorum";
    private final static String VALUE = "hadoop01:2181,hadoop02:2181,hadoop03:2181";
    private static Configuration configuration;
    static {
        //1. 创建配置对象
        configuration = HBaseConfiguration.create();
        configuration.set(KEY, VALUE);
    }
    public static Admin getAdmin(){
        try {
            Connection connection = ConnectionFactory.createConnection(configuration);
            Admin admin = connection.getAdmin();
            return  admin;
        } catch (IOException e) {
            e.printStackTrace();
            return null;
        }
    }

    public static Table getTable(){
        return  getTable("user_info");
    }

    private static Table getTable(String tablename) {
        try {
            Connection connection = ConnectionFactory.createConnection(configuration);
            return  connection.getTable(TableName.valueOf(tablename));
        } catch (IOException e) {
            e.printStackTrace();
            return  null;
        }
    }
    public static void showResult(Result result) throws IOException {
        StringBuffer stringBuffer = new StringBuffer();
        CellScanner scanner = result.cellScanner();
        while(scanner.advance()){
            Cell cell = scanner.current();
            stringBuffer.append("Rowkey=").append(new String(CellUtil.cloneRow(cell))).append("\t")
                    .append("columnfamily=").append(new String(CellUtil.cloneFamily(cell))).append("\t")
                    .append("cloumn=").append(new String(CellUtil.cloneQualifier(cell))).append("\t")
                    .append("value=").append(new String(CellUtil.cloneValue(cell))).append("\t").append("\n");

        }
        System.out.println(stringBuffer.toString());
    }
    public static void showResult(Filter filter) throws IOException {
        if(filter instanceof SingleColumnValueFilter){
            SingleColumnValueFilter singleColumnValueFilter = (SingleColumnValueFilter)filter;
            singleColumnValueFilter.setFilterIfMissing(true);
        }
        Scan scan = new Scan();
        scan.setFilter(filter);
        ResultScanner scanner = getTable().getScanner(scan);
        Iterator<Result> iterator = scanner.iterator();
        while(iterator.hasNext()){
            Result result = iterator.next();
            showResult(result);
        }

    }

    public static void close(Admin admin){
        if(admin != null){
            try {
                admin.close();
            } catch (IOException e) {
                e.printStackTrace();
            }

        }
    }
    public static void close(Table table){
        if(table != null){
            try {
                table.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
    public static void close(Admin admin, Table table){
        close(admin);
        close(table);
    }

}

core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
    <!-- hdfs的默认的内部通信uri -->
    <!--配置hdfs文件系统的命名空间-->
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://qf</value>
    </property>
    <!--配置操作hdfs的缓存大小-->
    <property>
        <name>io.file.buffer.size</name>
        <value>4096</value>
    </property>
    <!--配置临时数据存储目录-->
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/home/hahadoopdata/tmp</value>
    </property>
    <!-- 指定zk的集群地址 用来协调namenode的服务 -->
    <property>
        <name>ha.zookeeper.quorum</name>
        <value>hadoop01:2181,hadoop02:2181,hadoop03:2181</value>
    </property>
    <property>
        <name>mapreduce.app-submission.cross-platform</name>
        <value>true</value>
    </property>
    
</configuration>

hdfs-site.xml

?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<!--副本数 也叫副本因子 不是容错嘛-->
<!--副本数-->
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<!--块大小_hadoop2_128M_hadoop1_64M_hadoop3.0_256M-->
<property>
<name>dfs.block.size</name>
<value>134217728</value>
</property>
<!--hdfs的元数据存储位置-->
<property>
<name>dfs.namenode.name.dir</name>
<value>/home/hahadoopdata/dfs/name</value>
</property>
<!--hdfs的数据存储位置-->
<property>
<name>dfs.datanode.dir</name>
<value>/home/hahadoopdata/dfs/data</value>
</property>
<!--指定hdfs的虚拟服务名-->
<property>
  <name>dfs.nameservices</name>
  <value>qf</value>
</property>
<!--指定hdfs的虚拟服务名下的namenode的名字-->
<property>
  <name>dfs.ha.namenodes.qf</name>
  <value>nn1,nn2</value>
</property>
<!--指定namenode的rpc内部通信地址-->
<property>
  <name>dfs.namenode.rpc-address.qf.nn1</name>
  <value>hadoop01:8020</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.qf.nn2</name>
  <value>hadoop02:8020</value>
</property>
<!--指定namenode的web ui界面地址-->
<property>
  <name>dfs.namenode.http-address.qf.nn1</name>
  <value>hadoop01:50070</value>
</property>
<property>
  <name>dfs.namenode.http-address.qf.nn2</name>
  <value>hadoop02:50070</value>
</property>
<!--指定jouranlnode数据共享目录 namenode存放元数据信息的Linux本地地址 这个目录不需要我们自己创建-->
<property>
  <name>dfs.namenode.shared.edits.dir</name>
  <value>qjournal://hadoop01:8485;hadoop02:8485;hadoop03:8485/qf</value>
</property>
<!--指定jouranlnode本地数据共享目录-->
<property>
  <name>dfs.journalnode.edits.dir</name>
  <value>/home/hahadoopdata/jouranl/data</value>
</property>
<!-- 开启namenode失败进行自动切换 -->
 <property>
   <name>dfs.ha.automatic-failover.enabled</name>
   <value>true</value>
 </property>
<!--指定namenode失败进行自动切换的主类 datanode存放用户提交的大文件的本地Linux地址 这个目录不需要我们自己创建-->
<property>
  <name>dfs.client.failover.proxy.provider.qf</name>
  <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>

<!--防止多个namenode同时active(脑裂)的方式 采用某种方式杀死其中一个-->
<property>
  <name>dfs.ha.fencing.methods</name>
  <value>sshfence</value>
</property>
<property>
  <name>dfs.ha.fencing.ssh.private-key-files</name>
  <value>/root/.ssh/id_rsa</value>
</property>
<property>
  <name>dfs.ha.fencing.ssh.connect-timeout</name>
  <value>30000</value>
</property>
</configuration>

hbase-site.xml

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>	
<configuration>
		<property>
                <name>hbase.rootdir</name>
                <value>hdfs://qf/hbase</value>
        </property>
        <property>
                <name>hbase.zookeeper.quorum</name>
                <value>hadoop01:2181,hadoop02:2181,hadoop03:2181</value>
        </property>
		<!--将hbase的分布式集群功能开启-->
		<property>
			<name>hbase.cluster.distributed</name>
			<value>true</value>
		</property>
		<property>
			<name>hbase.zookeeper.property.dataDir</name>
			<value>/home/zkdata</value>
		</property>
</configuration>

pom.xml

<?xml version="1.0" encoding="UTF-8"?>

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>com.qf</groupId>
  <artifactId>HBaseHighRank</artifactId>
  <version>1.0-SNAPSHOT</version>

  <name>HBaseHighRank Maven Webapp</name>
  <!-- FIXME change it to the project's website -->
  <url>http://www.example.com</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>1.7</maven.compiler.source>
    <maven.compiler.target>1.7</maven.compiler.target>
  </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.8.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.8.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.8.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-client</artifactId>
            <version>1.2.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-client -->
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-common</artifactId>
            <version>1.2.1</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-client -->
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-server</artifactId>
            <version>1.2.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-hbase-handler</artifactId>
            <version>1.2.1</version>
        </dependency>
    </dependencies>
</project>