200字范文 > Hadoop在Windows7操作系统下使用Eclipse来搭建hadoop开发环境

Hadoop在Windows7操作系统下使用Eclipse来搭建hadoop开发环境

时间：2021-03-26 08:14:05

数据库|mysql教程

Hadoop,Windows7,操作系统,使用,Eclips

数据库-mysql教程

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网上有一些都是在Linux下使用安装Eclipse来进行hadoop应用开发，但是大部分Java程序员对linux系统不是那么熟悉，所以需要在windows下开发hadoop程序，所以经过试验，总结了下如何在windows下使用Eclipse来开发hadoop程序代码。 1、需要下载hadoop的专门插件

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网上有一些都是在Linux下使用安装Eclipse来进行hadoop应用开发，但是大部分Java程序员对linux系统不是那么熟悉，所以需要在windows下开发hadoop程序，所以经过试验，总结了下如何在windows下使用Eclipse来开发hadoop程序代码。

1、需要下载hadoop的专门插件jar包

hadoop版本为2.3.0，hadoop集群搭建在centos6x上面，插件包下载地址为：/detail/mchdba/8267181，jar包名字为hadoop-eclipse-plugin-2.3.0，可以适用于hadoop2x系列软件版本。

2、把插件包放到eclipse/plugins目录下

为了以后方便，我这里把尽可能多的jar包都放进来了，下图例：

3、重启eclipse，配置Hadoop installation directory

如果插件安装成功，打开Windows—Preferences后，在窗口左侧会有Hadoop Map/Reduce选项，点击此选项，在窗口右侧设置Hadoop安装路径。

4、配置Map/Reduce Locations

打开Windows–>Open Perspective–>Other

选择Map/Reduce，点击OK，在右下方看到有个Map/Reduce Locations的图标，下图例：

点击Map/Reduce Location选项卡，点击右边小象图标，打开Hadoop Location配置窗口：

输入Location Name，任意名称即可.配置Map/Reduce Master和DFS Mastrer，Host和Port配置成与core-site.xml的设置一致即可。

去找core-site.xml配置： fs.default.name hdfs://name01:9000 在界面配置如下：

点击”Finish”按钮，关闭窗口。点击左侧的DFSLocations—>myhadoop（上一步配置的location name)，如能看到user，表示安装成功，但是进去看到报错信息：Error: Permission denied: user=root,access=READ_EXECUTE,inode=”/tmp”;hadoop:supergroup:drwx———，下图例：

应该是权限问题：把/tmp/目录下面所有的关于hadoop的文件夹设置成hadoop用户所有然后分配授予777权限。

cd /tmp/

chmod 777 /tmp/

chown -R hadoop.hadoop /tmp/hsperfdata_root

之后重新连接打开DFS Locations就显示正常了。

Map/Reduce Master (此处为Hadoop集群的Map/Reduce地址，应该和mapred-site.xml中的mapred.job.tracker设置相同)

（1）：点击报错：

An internal error occurred during: “Connecting to DFS hadoopname01”.

.UnknownHostException: name01

直接在hostname那一栏里面设置ip地址为：192.168.52.128，即可，这样就正常打开了，下图例：

5、新建WordCount项目

File—>Project，选择Map/Reduce Project，输入项目名称WordCount等。

在WordCount项目里新建class，名称为WordCount，报错代码如下：Invalid Hadoop Runtime specified; please click ‘Configure Hadoop install directory’ or fill in library location input field，报错原因是目录选择不对，不能选择在跟目录E:\hadoop下，换成E:\u\hadoop\就可以了，如下所示：

一路下一步过去，点击Finished按钮，完成工程创建，Eclipse控制台下面出现如下信息：

14-12-9 下午04时03分10秒: Eclipse is running in a JRE, but a JDK is required

Some Maven plugins may not work when importing projects or updating source folders.

14-12-9 下午04时03分13秒: Refreshing [/WordCount/pom.xml]

14-12-9 下午04时03分14秒: Refreshing [/WordCount/pom.xml]

14-12-9 下午04时03分14秒: Updating index central|/maven2

14-12-9 下午04时04分10秒: Updated index for central|/maven2

6， Lib包导入：

/hadoop-2.3.0/share/hadoop/common下所有jar包，及里面的lib目录下所有jar包，

7，Eclipse直接提交mapreduce任务所需要环境配置代码如下所示：

package wc;

import java.io.IOException;

import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.Mapper;

import org.apache.hadoop.mapreduce.Reducer;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.util.GenericOptionsParser;

public class W2 {

public static class TokenizerMapper extends

Mapper {

private final static IntWritable one = new IntWritable(1);

private Text word = new Text();

public void map(Object key, Text value, Context context)

throws IOException, InterruptedException {

StringTokenizer itr = new StringTokenizer(value.toString());

while (itr.hasMoreTokens()) {

word.set(itr.nextToken());

context.write(word, one);

}

public static class IntSumReducer extends

Reducer {

private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable values,

Context context) throws IOException, InterruptedException {

int sum = 0;

for (IntWritable val : values) {

sum += val.get();

}

result.set(sum);

context.write(key, result);

}

public static void main(String[] args) throws Exception {

Configuration conf = new Configuration(); System.setProperty(\

8、运行

8.1、在HDFS上创建目录input

[hadoop@name01 hadoop-2.3.0]$ hadoop fs -ls /

[hadoop@name01 hadoop-2.3.0]$ hadoop fs -mkdir input

mkdir: `input’: No such file or directory

[hadoop@name01 hadoop-2.3.0]$ PS：fs需要全目录的方式来创建文件夹

如果Apache hadoop版本是0.x 或者1.x,

bin/hadoop hdfs fs -mkdir -p /in

bin/hadoop hdfs fs -put /home/du/input /in

如果Apache hadoop版本是2.x.

bin/hdfs dfs -mkdir -p /in

bin/hdfs dfs -put /home/du/input /in

如果是发行版的hadoop,比如Cloudera CDH,IBM BI,Hortonworks HDP 则第一种命令即可。要注意创建目录的全路径。另外hdfs的根目录是 /

2、拷贝本地README.txt到HDFS的input里

[hadoop@name01 hadoop-2.3.0]$ find . -name README.txt

./share/doc/hadoop/common/README.txt

[hadoop@name01 ~]$ hadoop fs -copyFromLocal ./src/hadoop-2.3.0/share/doc/hadoop/common/README.txt /data/input

[hadoop@name01 ~]$

[hadoop@name01 ~]$ hadoop fs -ls /

3，运行hadoop结束后，查看输出结果

-12-16 15:34:01,303 INFO [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(996)) – session.id is deprecated. Instead, use dfs.metrics.session-id

-12-16 15:34:01,309 INFO [main] jvm.JvmMetrics (JvmMetrics.java:init(76)) – Initializing JVM Metrics with processName=JobTracker, sessionId=

-12-16 15:34:02,047 INFO [main] input.FileInputFormat (FileInputFormat.java:listStatus(287)) – Total input paths to process : 1

-12-16 15:34:02,120 INFO [main] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(396)) – number of splits:1

-12-16 15:34:02,323 INFO [main] mapreduce.JobSubmitter (JobSubmitter.java:printTokens(479)) – Submitting tokens for job: job_local1764589720_0001

-12-16 15:34:02,367 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) – file:/tmp/hadoop-hadoop/mapred/staging/hadoop1764589720/.staging/job_local1764589720_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.

-12-16 15:34:02,368 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) – file:/tmp/hadoop-hadoop/mapred/staging/hadoop1764589720/.staging/job_local1764589720_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.

-12-16 15:34:02,682 WARN [main] conf.Configuration (Configuration.java:loadProperty(2345)) – file:/tmp/hadoop-hadoop/mapred/local/localRunner/hadoop/job_local1764589720_0001/job_local1764589720_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.

-12-16 15:34:02,703 INFO [main] mapreduce.Job (Job.java:submit(1289)) – The url to track the job: http://localhost:8080/

-12-16 15:34:02,704 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1334)) – Running job: job_local1764589720_0001

-12-16 15:34:02,707 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(471)) – OutputCommitter set in config null

-12-16 15:34:02,719 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(489)) – OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter

-12-16 15:34:02,853 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) – Waiting for map tasks

-12-16 15:34:02,857 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(224)) – Starting task: attempt_local1764589720_0001_m_000000_0

-12-16 15:34:02,919 INFO [LocalJobRunner Map Task Executor #0] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(129)) – ProcfsBasedProcessTree currently is supported only on Linux.

-12-16 15:34:03,281 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:initialize(581)) – Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@2e1022ec

-12-16 15:34:03,287 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:runNewMapper(733)) – Processing split: hdfs://192.168.52.128:9000/data/input/README.txt:0+1366

-12-16 15:34:03,304 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:createSortingCollector(388)) – Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer

-12-16 15:34:03,340 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:setEquator(1181)) – (EQUATOR) 0 kvi 26214396(104857584)

-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(975)) – mapreduce.task.io.sort.mb: 100

-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(976)) – soft limit at 83886080

-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(977)) – bufstart = 0; bufvoid = 104857600

-12-16 15:34:03,341 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(978)) – kvstart = 26214396; length = 6553600

-12-16 15:34:03,708 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1355)) – Job job_local1764589720_0001 running in uber mode : false

-12-16 15:34:03,710 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) – map 0% reduce 0%

-12-16 15:34:04,121 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) –

-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1435)) – Starting flush of map output

-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1453)) – Spilling map output

-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1454)) – bufstart = 0; bufend = 2055; bufvoid = 104857600

-12-16 15:34:04,128 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1456)) – kvstart = 26214396(104857584); kvend = 26213684(104854736); length = 713/6553600

-12-16 15:34:04,179 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:sortAndSpill(1639)) – Finished spill 0

-12-16 15:34:04,194 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:done(995)) – Task:attempt_local1764589720_0001_m_000000_0 is done. And is in the process of committing

-12-16 15:34:04,207 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) – map

-12-16 15:34:04,208 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:sendDone(1115)) – Task \’attempt_local1764589720_0001_m_000000_0\’ done.

-12-16 15:34:04,208 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(249)) – Finishing task: attempt_local1764589720_0001_m_000000_0

-12-16 15:34:04,208 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) – map task executor complete.

-12-16 15:34:04,211 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) – Waiting for reduce tasks

-12-16 15:34:04,211 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(302)) – Starting task: attempt_local1764589720_0001_r_000000_0

-12-16 15:34:04,221 INFO [pool-6-thread-1] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(129)) – ProcfsBasedProcessTree currently is supported only on Linux.

-12-16 15:34:04,478 INFO [pool-6-thread-1] mapred.Task (Task.java:initialize(581)) – Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@36154615

-12-16 15:34:04,483 INFO [pool-6-thread-1] mapred.ReduceTask (ReduceTask.java:run(362)) – Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@e2b02a3

-12-16 15:34:04,500 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:(193)) – MergerManager: memoryLimit=949983616, maxSingleShuffleLimit=237495904, mergeThreshold=626989184, ioSortFactor=10, memToMemMergeOutputsThreshold=10

-12-16 15:34:04,503 INFO [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(61)) – attempt_local1764589720_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events

-12-16 15:34:04,543 INFO [localfetcher#1] reduce.LocalFetcher (LocalFetcher.java:copyMapOutput(140)) – localfetcher#1 about to shuffle output ofmap attempt_local1764589720_0001_m_000000_0 decomp: 1832 len: 1836 to MEMORY

-12-16 15:34:04,548 INFO [localfetcher#1] reduce.InMemoryMapOutput (InMemoryMapOutput.java:shuffle(100)) – Read 1832 bytes from map-output for attempt_local1764589720_0001_m_000000_0

-12-16 15:34:04,553 INFO [localfetcher#1] reduce.MergeManagerImpl (MergeManagerImpl.java:closeInMemoryFile(307)) – closeInMemoryFile -> map-output of size: 1832, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->1832

-12-16 15:34:04,564 INFO [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(76)) – EventFetcher is interrupted.. Returning

-12-16 15:34:04,566 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) – 1 / 1 copied.

-12-16 15:34:04,566 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(667)) – finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs

-12-16 15:34:04,585 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(589)) – Merging 1 sorted segments

-12-16 15:34:04,585 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(688)) – Down to the last merge-pass, with 1 segments left of total size: 1823 bytes

-12-16 15:34:04,605 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(742)) – Merged 1 segments, 1832 bytes to disk to satisfy reduce memory limit

-12-16 15:34:04,605 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(772)) – Merging 1 files, 1836 bytes from disk

-12-16 15:34:04,606 INFO [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(787)) – Merging 0 segments, 0 bytes from memory into reduce

-12-16 15:34:04,607 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(589)) – Merging 1 sorted segments

-12-16 15:34:04,608 INFO [pool-6-thread-1] mapred.Merger (Merger.java:merge(688)) – Down to the last merge-pass, with 1 segments left of total size: 1823 bytes

-12-16 15:34:04,608 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) – 1 / 1 copied.

-12-16 15:34:04,643 INFO [pool-6-thread-1] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(996)) – mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords

-12-16 15:34:04,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) – map 100% reduce 0%

-12-16 15:34:04,842 INFO [pool-6-thread-1] mapred.Task (Task.java:done(995)) – Task:attempt_local1764589720_0001_r_000000_0 is done. And is in the process of committing

-12-16 15:34:04,850 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) – 1 / 1 copied.

-12-16 15:34:04,850 INFO [pool-6-thread-1] mapred.Task (Task.java:commit(1156)) – Task attempt_local1764589720_0001_r_000000_0 is allowed to commit now

-12-16 15:34:04,881 INFO [pool-6-thread-1] output.FileOutputCommitter (FileOutputCommitter.java:commitTask(439)) – Saved output of task \’attempt_local1764589720_0001_r_000000_0\’ to hdfs://192.168.52.128:9000/data/output/_temporary/0/task_local1764589720_0001_r_000000

-12-16 15:34:04,884 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) – reduce > reduce

-12-16 15:34:04,884 INFO [pool-6-thread-1] mapred.Task (Task.java:sendDone(1115)) – Task \’attempt_local1764589720_0001_r_000000_0\’ done.

-12-16 15:34:04,885 INFO [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(325)) – Finishing task: attempt_local1764589720_0001_r_000000_0

-12-16 15:34:04,885 INFO [Thread-4] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) – reduce task executor complete.

-12-16 15:34:05,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1362)) – map 100% reduce 100%

-12-16 15:34:05,714 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1373)) – Job job_local1764589720_0001 completed successfully

-12-16 15:34:05,733 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1380)) – Counters: 38

File System Counters

FILE: Number of bytes read=34542

FILE: Number of bytes written=470650

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=2732

HDFS: Number of bytes written=1306