hadoop 2.7.3本地环境运行官方wordcount
hadoop 2.7.3本地环境运行官方wordcount
基本环境：
系统：win7
虚机环境：virtualBox
虚机：centos 7
hadoop版本：2.7.3
本次先以独立模式（本地模式）来运行。
参考：
1 hadoop 安装
java环境
<code>yum install java-1.8.0-openjdk<br/> </code>
hadoop下载压缩包并安装
<code>mkdir ~/hadoop/<br/> cd ~/hadoop/ # http://apache.fayea.com/hadoop/common/hadoop-2.7.3/<br/> curl http://apache.fayea.com/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz -O<br/> # 如果下载出现中断，则可以使用-C参数继续下载 ls -l<br/> #-rw-rw-r--. 1 jungle jungle 165297920 Jan 6 13:10 hadoop-2.7.3.tar.gz curl http://apache.fayea.com/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz -C 165297920 -O<br/> # ** Resuming transfer from byte position 165297920 …… # download checksum<br/> curl http://apache.fayea.com/hadoop/core/hadoop-2.7.3/hadoop-2.7.3.tar.gz.mds -O # check<br/> cat hadoop-2.7.3.tar.gz.mds md5sum hadoop-2.7.3.tar.gz<br/> sha256sum hadoop-2.7.3.tar.gz tar -zxf hadoop-2.7.3.tar.gz<br/> mv hadoop-2.7.3 hadoop-local<br/> </code>
2 配置环境
因为是使用本地模式，需要配置的项非常少，只需要涉及环境变量。
<code># java path<br/> whereis java<br/> java: /usr/bin/java /usr/lib/java /etc/java /usr/share/java ls -l /usr/bin/java<br/> lrwxrwxrwx. 1 root root 22 Dec 30 12:26 /usr/bin/java -> /etc/alternatives/java ls -l /etc/alternatives/java<br/> lrwxrwxrwx. 1 root root 73 Dec 30 12:26 /etc/alternatives/java -> /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.111-2.b15.el7_3.x86_64/jre/bin/java<br/> </code>
在~/.bashrc中增加如下三行
<code>export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.111-2.b15.el7_3.x86_64/jre<br/> export HADOOP_INSTALL=/home/jungle/hadoop/hadoop-local<br/> export PATH=$PATH:$HADOOP_INSTALL/bin:$HADOOP_INSTALL/sbin<br/> </code>
确认hadoop可用：
<code>hadoop version<br/> Hadoop 2.7.3<br/> Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff<br/> Compiled by root on 2016-08-18T01:41Z<br/> Compiled with protoc 2.5.0<br/> From source with checksum 2e4ce5f957ea4db193bce3734ff29ff4<br/> This command was run using /home/jungle/hadoop/hadoop-local/share/hadoop/common/hadoop-common-2.7.3.jar<br/> </code>
2 使用linux文件系统做测试
直接使用linux的文件系统做测试，即不使用hadoop fs相关命令。
2.1 wordcount
<code>bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar<br/> An example program must be given as the first argument.<br/> Valid program names are:<br/> aggregatewordcount: An Aggregate based map/reduce program that counts the words in the input files.<br/> aggregatewordhist: An Aggregate based map/reduce program that computes the histogram of the words in the input files.<br/> bbp: A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi.<br/> dbcount: An example job that count the pageview counts from a database.<br/> # ...<br/> wordcount: A map/reduce program that counts the words in the input files.<br/> # ... bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount<br/> # Usage: wordcount <in> [<in>...] <out><br/> </code>
2.2 准备数据
<code>mkdir -p dataLocal/input/<br/> cd dataLocal/input/ echo "hello world, I am jungle. bye world" > file1.txt<br/> echo "hello hadoop. hello jungle. bye hadoop." > file2.txt<br/> echo "the great software is hadoop." >> file2.txt </code>
2.3 运行
<code>cd /home/jungle/hadoop/hadoop-local/ hadoop jar /home/jungle/hadoop/hadoop-local/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount dataLocal/input/ dataLocal/outout<br/> # dataLocal/outout 当前不存在，由程序生成<br/> echo $? ls -la dataLocal/outout/<br/> total 12<br/> drwxrwxr-x. 2 jungle jungle 84 Jan 6 16:53 .<br/> drwxrwxr-x. 4 jungle jungle 31 Jan 6 16:53 ..<br/> -rw-r--r--. 1 jungle jungle 82 Jan 6 16:53 part-r-00000<br/> -rw-r--r--. 1 jungle jungle 12 Jan 6 16:53 .part-r-00000.crc<br/> -rw-r--r--. 1 jungle jungle 0 Jan 6 16:53 _SUCCESS<br/> -rw-r--r--. 1 jungle jungle 8 Jan 6 16:53 ._SUCCESS.crc # 结果<br/> cat dataLocal/outout//part-r-00000<br/> I 1<br/> am 1<br/> bye 2<br/> great 1<br/> hadoop. 3<br/> hello 3<br/> is 1<br/> jungle. 2<br/> software 1<br/> the 1<br/> world. 2 </code>
2.4 最后是运行日志
通过日志，可以了解运行时的一些常用参数和配置。
<code>17/01/06 16:53:26 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id<br/> 17/01/06 16:53:26 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=<br/> 17/01/06 16:53:26 INFO input.FileInputFormat: Total input paths to process : 2<br/> 17/01/06 16:53:26 INFO mapreduce.JobSubmitter: number of splits:2<br/> 17/01/06 16:53:27 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local1147390429_0001<br/> 17/01/06 16:53:27 INFO mapreduce.Job: The url to track the job: http://localhost:8080/<br/> 17/01/06 16:53:27 INFO mapreduce.Job: Running job: job_local1147390429_0001<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: OutputCommitter set in config null<br/> 17/01/06 16:53:27 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Waiting for map tasks<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Starting task: attempt_local1147390429_0001_m_000000_0<br/> 17/01/06 16:53:27 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1<br/> 17/01/06 16:53:27 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Processing split: file:/home/jungle/hadoop/hadoop-local/dataLocal/input/file2.txt:0+70<br/> 17/01/06 16:53:27 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)<br/> 17/01/06 16:53:27 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100<br/> 17/01/06 16:53:27 INFO mapred.MapTask: soft limit at 83886080<br/> 17/01/06 16:53:27 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: kvstart = 26214396; length = 6553600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner:<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Starting flush of map output<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Spilling map output<br/> 17/01/06 16:53:27 INFO mapred.MapTask: bufstart = 0; bufend = 114; bufvoid = 104857600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214356(104857424); length = 41/6553600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Finished spill 0<br/> 17/01/06 16:53:27 INFO mapred.Task: Task:attempt_local1147390429_0001_m_000000_0 is done. And is in the process of committing<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: map<br/> 17/01/06 16:53:27 INFO mapred.Task: Task 'attempt_local1147390429_0001_m_000000_0' done.<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Finishing task: attempt_local1147390429_0001_m_000000_0<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Starting task: attempt_local1147390429_0001_m_000001_0<br/> 17/01/06 16:53:27 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1<br/> 17/01/06 16:53:27 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Processing split: file:/home/jungle/hadoop/hadoop-local/dataLocal/input/file1.txt:0+37<br/> 17/01/06 16:53:27 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)<br/> 17/01/06 16:53:27 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100<br/> 17/01/06 16:53:27 INFO mapred.MapTask: soft limit at 83886080<br/> 17/01/06 16:53:27 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: kvstart = 26214396; length = 6553600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner:<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Starting flush of map output<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Spilling map output<br/> 17/01/06 16:53:27 INFO mapred.MapTask: bufstart = 0; bufend = 65; bufvoid = 104857600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214372(104857488); length = 25/6553600<br/> 17/01/06 16:53:27 INFO mapred.MapTask: Finished spill 0<br/> 17/01/06 16:53:27 INFO mapred.Task: Task:attempt_local1147390429_0001_m_000001_0 is done. And is in the process of committing<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: map<br/> 17/01/06 16:53:27 INFO mapred.Task: Task 'attempt_local1147390429_0001_m_000001_0' done.<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Finishing task: attempt_local1147390429_0001_m_000001_0<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: map task executor complete.<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Waiting for reduce tasks<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Starting task: attempt_local1147390429_0001_r_000000_0<br/> 17/01/06 16:53:27 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1<br/> 17/01/06 16:53:27 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]<br/> 17/01/06 16:53:27 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@2aa26fdb<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=363285696, maxSingleShuffleLimit=90821424, mergeThreshold=239768576, ioSortFactor=10, memToMemMergeOutputsThreshold=10<br/> 17/01/06 16:53:27 INFO reduce.EventFetcher: attempt_local1147390429_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events<br/> 17/01/06 16:53:27 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1147390429_0001_m_000000_0 decomp: 98 len: 102 to MEMORY<br/> 17/01/06 16:53:27 INFO reduce.InMemoryMapOutput: Read 98 bytes from map-output for attempt_local1147390429_0001_m_000000_0<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 98, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->98<br/> 17/01/06 16:53:27 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1147390429_0001_m_000001_0 decomp: 68 len: 72 to MEMORY 17/01/06 16:53:27 WARN io.ReadaheadPool: Failed readahead on ifile<br/> EBADF: Bad file descriptor<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posix_fadvise(Native Method)<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posixFadviseIfPossible(NativeIO.java:267)<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX$CacheManipulator.posixFadviseIfPossible(NativeIO.java:146)<br/> at org.apache.hadoop.io.ReadaheadPool$ReadaheadRequestImpl.run(ReadaheadPool.java:206)<br/> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)<br/> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)<br/> at java.lang.Thread.run(Thread.java:745) 17/01/06 16:53:27 INFO reduce.InMemoryMapOutput: Read 68 bytes from map-output for attempt_local1147390429_0001_m_000001_0<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 68, inMemoryMapOutputs.size() -> 2, commitMemory -> 98, usedMemory ->166<br/> 17/01/06 16:53:27 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning 17/01/06 16:53:27 WARN io.ReadaheadPool: Failed readahead on ifile<br/> EBADF: Bad file descriptor<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posix_fadvise(Native Method)<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posixFadviseIfPossible(NativeIO.java:267)<br/> at org.apache.hadoop.io.nativeio.NativeIO$POSIX$CacheManipulator.posixFadviseIfPossible(NativeIO.java:146)<br/> at org.apache.hadoop.io.ReadaheadPool$ReadaheadRequestImpl.run(ReadaheadPool.java:206)<br/> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)<br/> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)<br/> at java.lang.Thread.run(Thread.java:745) 17/01/06 16:53:27 INFO mapred.LocalJobRunner: 2 / 2 copied.<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: finalMerge called with 2 in-memory map-outputs and 0 on-disk map-outputs<br/> 17/01/06 16:53:27 INFO mapred.Merger: Merging 2 sorted segments<br/> 17/01/06 16:53:27 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 156 bytes<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: Merged 2 segments, 166 bytes to disk to satisfy reduce memory limit<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: Merging 1 files, 168 bytes from disk<br/> 17/01/06 16:53:27 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce<br/> 17/01/06 16:53:27 INFO mapred.Merger: Merging 1 sorted segments<br/> 17/01/06 16:53:27 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 160 bytes<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: 2 / 2 copied.<br/> 17/01/06 16:53:27 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords<br/> 17/01/06 16:53:27 INFO mapred.Task: Task:attempt_local1147390429_0001_r_000000_0 is done. And is in the process of committing<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: 2 / 2 copied.<br/> 17/01/06 16:53:27 INFO mapred.Task: Task attempt_local1147390429_0001_r_000000_0 is allowed to commit now<br/> 17/01/06 16:53:27 INFO output.FileOutputCommitter: Saved output of task 'attempt_local1147390429_0001_r_000000_0' to file:/home/jungle/hadoop/hadoop-local/dataLocal/outout/_temporary/0/task_local1147390429_0001_r_000000<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: reduce > reduce<br/> 17/01/06 16:53:27 INFO mapred.Task: Task 'attempt_local1147390429_0001_r_000000_0' done.<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: Finishing task: attempt_local1147390429_0001_r_000000_0<br/> 17/01/06 16:53:27 INFO mapred.LocalJobRunner: reduce task executor complete.<br/> 17/01/06 16:53:28 INFO mapreduce.Job: Job job_local1147390429_0001 running in uber mode : false<br/> 17/01/06 16:53:28 INFO mapreduce.Job: map 100% reduce 100%<br/> 17/01/06 16:53:28 INFO mapreduce.Job: Job job_local1147390429_0001 completed successfully<br/> 17/01/06 16:53:28 INFO mapreduce.Job: Counters: 30<br/> File System Counters<br/> FILE: Number of bytes read=889648<br/> FILE: Number of bytes written=1748828<br/> FILE: Number of read operations=0<br/> FILE: Number of large read operations=0<br/> FILE: Number of write operations=0<br/> Map-Reduce Framework<br/> Map input records=3<br/> Map output records=18<br/> Map output bytes=179<br/> Map output materialized bytes=174<br/> Input split bytes=256<br/> Combine input records=18<br/> Combine output records=14<br/> Reduce input groups=11<br/> Reduce shuffle bytes=174<br/> Reduce input records=14<br/> Reduce output records=11<br/> Spilled Records=28<br/> Shuffled Maps =2<br/> Failed Shuffles=0<br/> Merged Map outputs=2<br/> GC time elapsed (ms)=43<br/> Total committed heap usage (bytes)=457912320<br/> Shuffle Errors<br/> BAD_ID=0<br/> CONNECTION=0<br/> IO_ERROR=0<br/> WRONG_LENGTH=0<br/> WRONG_MAP=0<br/> WRONG_REDUCE=0<br/> File Input Format Counters<br/> Bytes Read=107<br/> File Output Format Counters<br/> Bytes Written=94<br/> </code>
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