hadoop跑第一个实例过程
第一次跑hadoop實例,中間經過了不少彎路,特此記錄下來:
第一步:建立一個maven過程,pom.xml文件:(打包為jar包)
<dependency><groupId>org.apache.hadoop</groupId><artifactId>hadoop-client</artifactId><version>2.7.0</version> </dependency>第二步:創建一個WordCount(從官網上copy):
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;public class WordCount {public static class TokenizerMapperextends Mapper<Object, Text, Text, IntWritable>{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 IntSumReducerextends Reducer<Text,IntWritable,Text,IntWritable> {private IntWritable result = new IntWritable();public void reduce(Text key, Iterable<IntWritable> 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();Job job = Job.getInstance(conf, "word count");job.setJarByClass(WordCount.class);job.setMapperClass(TokenizerMapper.class);job.setCombinerClass(IntSumReducer.class);job.setReducerClass(IntSumReducer.class);job.setOutputKeyClass(Text.class);job.setOutputValueClass(IntWritable.class);FileInputFormat.addInputPath(job, new Path(args[0]));FileOutputFormat.setOutputPath(job, new Path(args[1]));System.exit(job.waitForCompletion(true) ? 0 : 1);} }第三步:打jar包:
mvn clean install第四步:將jar包放入hadoop集群中的master機器上。
第五步:設置hdfs文件輸入目錄
在hadoop-2.6.0/etc/hadoop目錄下core-site配置:
<configuration><property><name>fs.defaultFS</name><value>hdfs://master:9000/</value></property><property><name>hadoop.tmp.dir</name><value>file:/home/localadmin/filedata</value></property> </configuration>上面可以看到hdfs的根目錄,或者使用命令查看:
bin/hadoop fs -ls /設置輸入目錄
在/home/localadmin創建filedata/infile目錄,并創建文件file01,file02
bin/hadoop fs -put /home/localadmin/filedata/infile/bin/hadoop fs -put /home/localadmin/filedata/infile/file01
bin/hadoop fs -put /home/localadmin/filedata/infile/file02
檢查文件情況命令:
# bin/hadoop fs -ls /home/localadmin/filedata/input
Found 2 items
-rw-r--r-- 3 root supergroup 22 2015-12-25 13:56 /home/localadmin/filedata/input/file01
-rw-r--r-- 3 root supergroup 28 2015-12-25 13:56 /home/localadmin/filedata/input/file02
注意:不要設置輸出目錄:
hadoop 由于進行的是耗費資源的計算,生產的結果默認是不能被覆蓋的,
因此中間結果輸出目錄一定不能存在,否則出現這個錯誤。
第六步:執行命令:
hadoop jar wc.jar com.nonobank.hadoop.WordCount ../filedata/input/ ../filedata/output/?
參考文獻:
【1】http://blog.sina.com.cn/s/blog_757dbe670101gnj9.html
【2】https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html#Example:_WordCount_v1.0
?【3】http://blog.itpub.net/26230597/viewspace-1370205/
轉載于:https://www.cnblogs.com/davidwang456/p/5076103.html
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