hadoop 开发&调试

写好的hadoop任务打成jar后,可以在服务器上用命令hadoop jar  提交。但开发阶段总不能一直用这种方式来调试,最好是在本机的ide 上可以直接debug。

如果在wiindow上配置一套开发调试环境,说实话真是觉得很不爽。为了以后方便,整理了一下windows 下hadoop开发环境的配置和调试过程。

 

 首先本地下载一个和服务器相同版本的hadoop安装包。

然后配置一个HADOOPHOME环境变量

还要去网上下载window的工具包,需要有下面两个文件。下载的时候要注意,如果你是安装的32位Jdk 那么下32位的工具包。

把下后的两个文件拷贝到HADOOPHOME bin目录下。

到这里配置还没有完,除了上面几个配置外,不同的场景还需要不同的配置。(我也是很无语)。

为了便于区分,接下来,我将列出本地Hadoop开发调试的四种场景。

 

1,本机访问Hdfs数据

如果只是访问远程hdfs目录和文件,需要有%HADOOP_HOME%,还有%HADOOP_HOME%\bin\winutils.exe就可以了。

另外运行的时候会有访问权限的问题。主要是纠结hadoop 服务器的用户名和你本地机器用户名不一样。

解决办法有两种

方法1:hdfs-site.xml 加上如下配置,重启。

       <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>

方法2:加一个环境变量HADOOP_USER_NAME = 你的hadoop用户名。

 访问路径的问题:

 如果目录不加hdfs:"/user/rihai/logdata/tmp" 默认会访问你本地目录。

 如果想访问hdfs 目录则需要在project resource目录下放置core-site.xml。

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://master:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/home/rihai/hadoop/tmp</value>
    </property>
</configuration>

或者代码里指定Configuration

conf.set("fs.default.name", "hdfs://master:9000")

 

2,本机MapReduce,本地目录做数据源

方便说明,写一个简单的例子,我用的IDE是 IntelliJ IDEA,先创建一个Maven project.

pom.xml 配置

?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.rihai.hadoop</groupId>
    <artifactId>demo</artifactId>
    <packaging>pom</packaging>
    <version>1.0-SNAPSHOT</version>
    <modules>
        <module>hdfs</module>
        <module>job</module>
    </modules>
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.6.0</version>
        </dependency>


</project>
View Code

代码如下:

  1 package com.rihai.hadoop.job;
  2 
  3 import org.apache.hadoop.conf.Configuration;
  4 import org.apache.hadoop.fs.FileSystem;
  5 import org.apache.hadoop.fs.Path;
  6 import org.apache.hadoop.io.IntWritable;
  7 import org.apache.hadoop.io.Text;
  8 import org.apache.hadoop.mapreduce.Job;
  9 import org.apache.hadoop.mapreduce.Mapper;
 10 import org.apache.hadoop.mapreduce.Reducer;
 11 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 12 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
 13 import org.apache.hadoop.util.GenericOptionsParser;
 14 import org.apache.hadoop.yarn.util.SystemClock;
 15 import org.apache.hadoop.yarn.webapp.ResponseInfo;
 16 
 17 import java.io.IOException;
 18 import java.util.StringTokenizer;
 19 
 20 
 21 /**
 22  * Created by rihaizhang on 2016/9/21.
 23  */
 24 public class MrDebug {
 25 
 26     /**
 27      * mapper
 28      */
 29     public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> {
 30 
 31         private final static IntWritable one = new IntWritable(1);
 32         private Text word = new Text();
 33 
 34         @Override
 35         public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
 36 
 37             StringTokenizer stk = new StringTokenizer(value.toString());
 38 
 39             while (stk.hasMoreTokens()) {
 40                 word.set(stk.nextToken());
 41                 context.write(word, one);
 42             }
 43         }
 44 
 45     }
 46 
 47     /**
 48      * reducer
 49      */
 50     public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
 51 
 52         private final static IntWritable sum = new IntWritable(1);
 53 
 54         @Override
 55         public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
 56 
 57             int temp = 0;
 58             for (IntWritable val : values) {
 59                 temp += val.get();
 60             }
 61             sum.set(temp);
 62             context.write(key, sum);
 63         }
 64     }
 65 
 66     private static void deleteOutput(Configuration conf, String path) throws IOException {
 67        try( FileSystem fs = FileSystem.get(conf)) {
 68            Path outPath = new Path(path);
 69            if (fs.exists(outPath)) {
 70                boolean delResult = fs.delete(outPath, true);
 71                if (delResult) {
 72                    System.out.println(path + " deleted.");
 73                } else {
 74                    System.out.println(path + " delete failed.");
 75                }
 76            }
 77        }
 78 
 79     }
 80 
 81     public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
 82 
 83         System.out.println("begin");
 84         Configuration conf = new Configuration();
 85 
 86         String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
 87 
 88         if (otherArgs.length < 2) {
 89             System.err.println("Usage: wordcount <in> [<in>...] <out>");
 90             System.exit(2);
 91         }
 92 
 93         deleteOutput(conf,otherArgs[otherArgs.length - 1]);
 94 
 95         Job job = Job.getInstance(conf, "mrdebug");
 96         job.setJarByClass(MrDebug.class);
 97         job.setMapperClass(TokenizerMapper.class);
 98         job.setCombinerClass(IntSumReducer.class);
 99         job.setReducerClass(IntSumReducer.class);
100         job.setOutputKeyClass(Text.class);
101         job.setOutputValueClass(IntWritable.class);
102 
103         for (int i = 0; i < otherArgs.length - 1; i++) {
104             FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
105         }
106         FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
107 
108         System.exit(job.waitForCompletion(true) ? 0 : 1);
109 
110     }
111 
112 }
View Code

在resources 加上Log4j的配置,不然会有警告。

 

log4j.rootLogger=INFO, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d{ABSOLUTE

 

调试前还得PATH环境变量追加;%HADOOP_HOME%\bin,因为要用到上面工具包的两个文件。注意:Ide 需要重启

设置运行参数为本地目录:

 

然后运行:

D:\Java\jdk1.7.0_65\bin\java -Didea.launcher.port=7533 "-Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA 2016.2\bin" -Dfile.encoding=UTF-8 -classpath "D:\Java\jdk1.7.0_65\jre\lib\charsets.jar;D:\Java\jdk1.7.0_65\jre\lib\deploy.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\access-bridge-32.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\dnsns.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\jaccess.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\localedata.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\sunec.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\sunjce_provider.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\sunmscapi.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\sunpkcs11.jar;D:\Java\jdk1.7.0_65\jre\lib\ext\zipfs.jar;D:\Java\jdk1.7.0_65\jre\lib\javaws.jar;D:\Java\jdk1.7.0_65\jre\lib\jce.jar;D:\Java\jdk1.7.0_65\jre\lib\jfr.jar;D:\Java\jdk1.7.0_65\jre\lib\jfxrt.jar;D:\Java\jdk1.7.0_65\jre\lib\jsse.jar;D:\Java\jdk1.7.0_65\jre\lib\management-agent.jar;D:\Java\jdk1.7.0_65\jre\lib\plugin.jar;D:\Java\jdk1.7.0_65\jre\lib\resources.jar;D:\Java\jdk1.7.0_65\jre\lib\rt.jar;D:\IdeaProjects\hadoop-demo\job\target\classes;D:\Java\maven\org\apache\hadoop\hadoop-client\2.6.0\hadoop-client-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-common\2.6.0\hadoop-common-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-annotations\2.6.0\hadoop-annotations-2.6.0.jar;D:\Java\maven\com\google\guava\guava\11.0.2\guava-11.0.2.jar;D:\Java\maven\com\google\code\findbugs\jsr305\1.3.9\jsr305-1.3.9.jar;D:\Java\maven\commons-cli\commons-cli\1.2\commons-cli-1.2.jar;D:\Java\maven\org\apache\commons\commons-math3\3.1.1\commons-math3-3.1.1.jar;D:\Java\maven\xmlenc\xmlenc\0.52\xmlenc-0.52.jar;D:\Java\maven\commons-httpclient\commons-httpclient\3.1\commons-httpclient-3.1.jar;D:\Java\maven\commons-logging\commons-logging\1.1.3\commons-logging-1.1.3.jar;D:\Java\maven\commons-codec\commons-codec\1.4\commons-codec-1.4.jar;D:\Java\maven\commons-io\commons-io\2.4\commons-io-2.4.jar;D:\Java\maven\commons-net\commons-net\3.1\commons-net-3.1.jar;D:\Java\maven\commons-collections\commons-collections\3.2.1\commons-collections-3.2.1.jar;D:\Java\maven\log4j\log4j\1.2.17\log4j-1.2.17.jar;D:\Java\maven\commons-lang\commons-lang\2.6\commons-lang-2.6.jar;D:\Java\maven\commons-configuration\commons-configuration\1.6\commons-configuration-1.6.jar;D:\Java\maven\commons-digester\commons-digester\1.8\commons-digester-1.8.jar;D:\Java\maven\commons-beanutils\commons-beanutils\1.7.0\commons-beanutils-1.7.0.jar;D:\Java\maven\commons-beanutils\commons-beanutils-core\1.8.0\commons-beanutils-core-1.8.0.jar;D:\Java\maven\org\slf4j\slf4j-api\1.7.5\slf4j-api-1.7.5.jar;D:\Java\maven\org\slf4j\slf4j-log4j12\1.7.5\slf4j-log4j12-1.7.5.jar;D:\Java\maven\org\codehaus\jackson\jackson-core-asl\1.9.13\jackson-core-asl-1.9.13.jar;D:\Java\maven\org\codehaus\jackson\jackson-mapper-asl\1.9.13\jackson-mapper-asl-1.9.13.jar;D:\Java\maven\org\apache\avro\avro\1.7.4\avro-1.7.4.jar;D:\Java\maven\com\thoughtworks\paranamer\paranamer\2.3\paranamer-2.3.jar;D:\Java\maven\org\xerial\snappy\snappy-java\1.0.4.1\snappy-java-1.0.4.1.jar;D:\Java\maven\org\apache\commons\commons-compress\1.4.1\commons-compress-1.4.1.jar;D:\Java\maven\com\google\protobuf\protobuf-java\2.5.0\protobuf-java-2.5.0.jar;D:\Java\maven\com\google\code\gson\gson\2.2.4\gson-2.2.4.jar;D:\Java\maven\org\apache\hadoop\hadoop-auth\2.6.0\hadoop-auth-2.6.0.jar;D:\Java\maven\org\apache\httpcomponents\httpclient\4.2.5\httpclient-4.2.5.jar;D:\Java\maven\org\apache\httpcomponents\httpcore\4.2.4\httpcore-4.2.4.jar;D:\Java\maven\org\apache\directory\server\apacheds-kerberos-codec\2.0.0-M15\apacheds-kerberos-codec-2.0.0-M15.jar;D:\Java\maven\org\apache\directory\server\apacheds-i18n\2.0.0-M15\apacheds-i18n-2.0.0-M15.jar;D:\Java\maven\org\apache\directory\api\api-asn1-api\1.0.0-M20\api-asn1-api-1.0.0-M20.jar;D:\Java\maven\org\apache\directory\api\api-util\1.0.0-M20\api-util-1.0.0-M20.jar;D:\Java\maven\org\apache\zookeeper\zookeeper\3.4.6\zookeeper-3.4.6.jar;D:\Java\maven\org\apache\curator\curator-framework\2.6.0\curator-framework-2.6.0.jar;D:\Java\maven\org\apache\curator\curator-client\2.6.0\curator-client-2.6.0.jar;D:\Java\maven\org\apache\curator\curator-recipes\2.6.0\curator-recipes-2.6.0.jar;D:\Java\maven\org\htrace\htrace-core\3.0.4\htrace-core-3.0.4.jar;D:\Java\maven\io\netty\netty\3.6.2.Final\netty-3.6.2.Final.jar;D:\Java\maven\org\tukaani\xz\1.0\xz-1.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-hdfs\2.6.0\hadoop-hdfs-2.6.0.jar;D:\Java\maven\org\mortbay\jetty\jetty-util\6.1.26\jetty-util-6.1.26.jar;D:\Java\maven\xerces\xercesImpl\2.9.1\xercesImpl-2.9.1.jar;D:\Java\maven\xml-apis\xml-apis\1.3.04\xml-apis-1.3.04.jar;D:\Java\maven\org\apache\hadoop\hadoop-mapreduce-client-app\2.6.0\hadoop-mapreduce-client-app-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-mapreduce-client-common\2.6.0\hadoop-mapreduce-client-common-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-yarn-common\2.6.0\hadoop-yarn-common-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-yarn-client\2.6.0\hadoop-yarn-client-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-yarn-api\2.6.0\hadoop-yarn-api-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-mapreduce-client-core\2.6.0\hadoop-mapreduce-client-core-2.6.0.jar;D:\Java\maven\org\apache\hadoop\hadoop-yarn-server-common\2.6.0\hadoop-yarn-server-common-2.6.0.jar;D:\Java\maven\org\fusesource\leveldbjni\leveldbjni-all\1.8\leveldbjni-all-1.8.jar;D:\Java\maven\org\apache\hadoop\hadoop-mapreduce-client-shuffle\2.6.0\hadoop-mapreduce-client-shuffle-2.6.0.jar;D:\Java\maven\javax\xml\bind\jaxb-api\2.2.2\jaxb-api-2.2.2.jar;D:\Java\maven\javax\xml\stream\stax-api\1.0-2\stax-api-1.0-2.jar;D:\Java\maven\javax\activation\activation\1.1\activation-1.1.jar;D:\Java\maven\javax\servlet\servlet-api\2.5\servlet-api-2.5.jar;D:\Java\maven\com\sun\jersey\jersey-core\1.9\jersey-core-1.9.jar;D:\Java\maven\com\sun\jersey\jersey-client\1.9\jersey-client-1.9.jar;D:\Java\maven\org\codehaus\jackson\jackson-jaxrs\1.9.13\jackson-jaxrs-1.9.13.jar;D:\Java\maven\org\codehaus\jackson\jackson-xc\1.9.13\jackson-xc-1.9.13.jar;D:\Java\maven\org\apache\hadoop\hadoop-mapreduce-client-jobclient\2.6.0\hadoop-mapreduce-client-jobclient-2.6.0.jar;C:\Program Files (x86)\JetBrains\IntelliJ IDEA 2016.2\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain com.rihai.hadoop.job.MrDebug E:\hello.txt E:\output\
begin
E:\output\ deleted.
10:51:04,371 | INFO  | main             | deprecation                      | apache.hadoop.conf.Configuration 1049 | session.id is deprecated. Instead, use dfs.metrics.session-id
10:51:04,371 | INFO  | main             | JvmMetrics                       | he.hadoop.metrics.jvm.JvmMetrics   76 | Initializing JVM Metrics with processName=JobTracker, sessionId=
10:51:04,465 | WARN  | main             | JobSubmitter                     | he.hadoop.mapreduce.JobSubmitter  261 | No job jar file set.  User classes may not be found. See Job or Job#setJar(String).
10:51:04,481 | INFO  | main             | FileInputFormat                  | reduce.lib.input.FileInputFormat  281 | Total input paths to process : 1
10:51:04,496 | INFO  | main             | JobSubmitter                     | he.hadoop.mapreduce.JobSubmitter  494 | number of splits:1
10:51:04,559 | INFO  | main             | JobSubmitter                     | he.hadoop.mapreduce.JobSubmitter  583 | Submitting tokens for job: job_local742415139_0001
10:51:04,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1300 | The url to track the job: http://localhost:8080/
10:51:04,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1345 | Running job: job_local742415139_0001
10:51:04,668 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  471 | OutputCommitter set in config null
10:51:04,668 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  489 | OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
10:51:04,699 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  448 | Waiting for map tasks
10:51:04,699 | INFO  | Task Executor #0 | LocalJobRunner                   | calJobRunner$Job$MapTaskRunnable  224 | Starting task: attempt_local742415139_0001_m_000000_0
10:51:04,715 | INFO  | Task Executor #0 | ProcfsBasedProcessTree           | yarn.util.ProcfsBasedProcessTree  181 | ProcfsBasedProcessTree currently is supported only on Linux.
10:51:04,731 | INFO  | Task Executor #0 | Task                             | org.apache.hadoop.mapred.Task     587 |  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@102ead5
10:51:04,746 | INFO  | Task Executor #0 | MapTask                          | org.apache.hadoop.mapred.MapTask  753 | Processing split: file:/E:/hello.txt:0+43
10:51:04,809 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1202 | (EQUATOR) 0 kvi 26214396(104857584)
10:51:04,809 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer  995 | mapreduce.task.io.sort.mb: 100
10:51:04,809 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer  996 | soft limit at 83886080
10:51:04,809 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer  997 | bufstart = 0; bufvoid = 104857600
10:51:04,809 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer  998 | kvstart = 26214396; length = 6553600
10:51:04,824 | INFO  | Task Executor #0 | MapTask                          | org.apache.hadoop.mapred.MapTask  402 | Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
10:51:04,824 | INFO  | Task Executor #0 | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | 
10:51:04,824 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1457 | Starting flush of map output
10:51:04,824 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1475 | Spilling map output
10:51:04,824 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1476 | bufstart = 0; bufend = 70; bufvoid = 104857600
10:51:04,824 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1478 | kvstart = 26214396(104857584); kvend = 26214372(104857488); length = 25/6553600
10:51:04,856 | INFO  | Task Executor #0 | MapTask                          | p.mapred.MapTask$MapOutputBuffer 1660 | Finished spill 0
10:51:04,856 | INFO  | Task Executor #0 | Task                             | org.apache.hadoop.mapred.Task    1001 | Task:attempt_local742415139_0001_m_000000_0 is done. And is in the process of committing
10:51:04,856 | INFO  | Task Executor #0 | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | map
10:51:04,856 | INFO  | Task Executor #0 | Task                             | org.apache.hadoop.mapred.Task    1121 | Task 'attempt_local742415139_0001_m_000000_0' done.
10:51:04,856 | INFO  | Task Executor #0 | LocalJobRunner                   | calJobRunner$Job$MapTaskRunnable  249 | Finishing task: attempt_local742415139_0001_m_000000_0
10:51:04,856 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  456 | map task executor complete.
10:51:04,856 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  448 | Waiting for reduce tasks
10:51:04,856 | INFO  | pool-3-thread-1  | LocalJobRunner                   | JobRunner$Job$ReduceTaskRunnable  302 | Starting task: attempt_local742415139_0001_r_000000_0
10:51:04,871 | INFO  | pool-3-thread-1  | ProcfsBasedProcessTree           | yarn.util.ProcfsBasedProcessTree  181 | ProcfsBasedProcessTree currently is supported only on Linux.
10:51:04,887 | INFO  | pool-3-thread-1  | Task                             | org.apache.hadoop.mapred.Task     587 |  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@1b77ca0
10:51:04,887 | INFO  | pool-3-thread-1  | ReduceTask                       | .apache.hadoop.mapred.ReduceTask  362 | Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@1c17ff9
10:51:04,903 | INFO  | pool-3-thread-1  | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  196 | MergerManager: memoryLimit=181665792, maxSingleShuffleLimit=45416448, mergeThreshold=119899424, ioSortFactor=10, memToMemMergeOutputsThreshold=10
10:51:04,903 | INFO  | ompletion Events | EventFetcher                     | preduce.task.reduce.EventFetcher   61 | attempt_local742415139_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
10:51:04,918 | INFO  | localfetcher#1   | LocalFetcher                     | preduce.task.reduce.LocalFetcher  141 | localfetcher#1 about to shuffle output of map attempt_local742415139_0001_m_000000_0 decomp: 38 len: 42 to MEMORY
10:51:04,934 | INFO  | localfetcher#1   | InMemoryMapOutput                | ce.task.reduce.InMemoryMapOutput  100 | Read 38 bytes from map-output for attempt_local742415139_0001_m_000000_0
10:51:04,949 | INFO  | localfetcher#1   | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  314 | closeInMemoryFile -> map-output of size: 38, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->38
10:51:04,949 | INFO  | ompletion Events | EventFetcher                     | preduce.task.reduce.EventFetcher   76 | EventFetcher is interrupted.. Returning
10:51:04,949 | INFO  | pool-3-thread-1  | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | 1 / 1 copied.
10:51:04,949 | INFO  | pool-3-thread-1  | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  674 | finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
10:51:04,949 | INFO  | pool-3-thread-1  | Merger                           | .hadoop.mapred.Merger$MergeQueue  597 | Merging 1 sorted segments
10:51:04,949 | INFO  | pool-3-thread-1  | Merger                           | .hadoop.mapred.Merger$MergeQueue  696 | Down to the last merge-pass, with 1 segments left of total size: 30 bytes
10:51:04,965 | INFO  | pool-3-thread-1  | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  751 | Merged 1 segments, 38 bytes to disk to satisfy reduce memory limit
10:51:04,965 | INFO  | pool-3-thread-1  | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  781 | Merging 1 files, 42 bytes from disk
10:51:04,965 | INFO  | pool-3-thread-1  | MergeManagerImpl                 | uce.task.reduce.MergeManagerImpl  796 | Merging 0 segments, 0 bytes from memory into reduce
10:51:04,965 | INFO  | pool-3-thread-1  | Merger                           | .hadoop.mapred.Merger$MergeQueue  597 | Merging 1 sorted segments
10:51:04,965 | INFO  | pool-3-thread-1  | Merger                           | .hadoop.mapred.Merger$MergeQueue  696 | Down to the last merge-pass, with 1 segments left of total size: 30 bytes
10:51:04,965 | INFO  | pool-3-thread-1  | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | 1 / 1 copied.
10:51:04,965 | INFO  | pool-3-thread-1  | deprecation                      | apache.hadoop.conf.Configuration 1049 | mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
10:51:04,965 | INFO  | pool-3-thread-1  | Task                             | org.apache.hadoop.mapred.Task    1001 | Task:attempt_local742415139_0001_r_000000_0 is done. And is in the process of committing
10:51:04,965 | INFO  | pool-3-thread-1  | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | 1 / 1 copied.
10:51:04,965 | INFO  | pool-3-thread-1  | Task                             | org.apache.hadoop.mapred.Task    1162 | Task attempt_local742415139_0001_r_000000_0 is allowed to commit now
10:51:04,965 | INFO  | pool-3-thread-1  | FileOutputCommitter              | e.lib.output.FileOutputCommitter  439 | Saved output of task 'attempt_local742415139_0001_r_000000_0' to file:/E:/output/_temporary/0/task_local742415139_0001_r_000000
10:51:04,965 | INFO  | pool-3-thread-1  | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  591 | reduce > reduce
10:51:04,965 | INFO  | pool-3-thread-1  | Task                             | org.apache.hadoop.mapred.Task    1121 | Task 'attempt_local742415139_0001_r_000000_0' done.
10:51:04,965 | INFO  | pool-3-thread-1  | LocalJobRunner                   | JobRunner$Job$ReduceTaskRunnable  325 | Finishing task: attempt_local742415139_0001_r_000000_0
10:51:04,965 | INFO  | Thread-3         | LocalJobRunner                   | hadoop.mapred.LocalJobRunner$Job  456 | reduce task executor complete.
10:51:05,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1366 | Job job_local742415139_0001 running in uber mode : false
10:51:05,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1373 |  map 100% reduce 100%
10:51:05,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1384 | Job job_local742415139_0001 completed successfully
10:51:05,668 | INFO  | main             | Job                              | org.apache.hadoop.mapreduce.Job  1391 | Counters: 33
    File System Counters
        FILE: Number of bytes read=476
        FILE: Number of bytes written=508250
        FILE: Number of read operations=0
        FILE: Number of large read operations=0
        FILE: Number of write operations=0
    Map-Reduce Framework
        Map input records=3
        Map output records=7
        Map output bytes=70
        Map output materialized bytes=42
        Input split bytes=83
        Combine input records=7
        Combine output records=3
        Reduce input groups=3
        Reduce shuffle bytes=42
        Reduce input records=3
        Reduce output records=3
        Spilled Records=6
        Shuffled Maps =1
        Failed Shuffles=0
        Merged Map outputs=1
        GC time elapsed (ms)=28
        CPU time spent (ms)=0
        Physical memory (bytes) snapshot=0
        Virtual memory (bytes) snapshot=0
        Total committed heap usage (bytes)=242360320
    Shuffle Errors
        BAD_ID=0
        CONNECTION=0
        IO_ERROR=0
        WRONG_LENGTH=0
        WRONG_MAP=0
        WRONG_REDUCE=0
    File Input Format Counters 
        Bytes Read=43
    File Output Format Counters 
        Bytes Written=36

Process finished with exit code 0
View Code

3,本机MapReduce,远程Hdfs目录做数据源

访问的是hdfs的数据,但MapReduce在本机,相当于单机版的MR,这样我信可以直接在Ide 上debug。

代码增加如下配置:

 conf.set("fs.default.name", "hdfs://master:9000");

设置运行参数为Hdfs目录:

 

运行结果:

 

4,本地提交MapReduce 到远程hadoop 服务器

真正的MapReduce 是一个分布式任务,提交到hadoop集群上,在本地Ide是无法debug的。

代码增加如下配置:

        conf.set("fs.default.name", "hdfs://master:9000");
        conf.set("mapreduce.framework.name", "yarn");
        conf.set("yarn.resourcemanager.hostname", "master");
        conf.set("mapreduce.app-submission.cross-platform","true");
        conf.set("mapreduce.job.jar", "D:\\IdeaProjects\\hadoop-demo\\job\\target\\demo-job-1.0-SNAPSHOT.jar");

代码还需要指定最终的编译的Jar包地址

运行结果:

查看Job 管理页面 http://192.168.56.101:8088/

可以看到这个Job是直接提交到远程服务器运行的。

 

总结:弄清楚了上面的各种配置场景之后,我们还可以通过在resource目录增加Hadoop配置文件的方式,来灵活控制我们的调试。

 

posted on 2016-09-26 12:40  张日海  阅读(6067)  评论(1编辑  收藏  举报

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