0
的映射是从两个地方 1）文章由用户访问阅读文件（按国家排序） 2）国家的统计（国家明智）从HDFS读写HBASE
两个映射器的输出是文本，文本
我从两个不同的组运行亚马逊集群方案
我的目标是读取数据，并在HBase的结合的结果，并将其存储。
HDFS到HDFS正在工作。 的代码卡住减少67％，为
17/02/24 10:45:31 INFO mapreduce.Job: map 0% reduce 0%
17/02/24 10:45:37 INFO mapreduce.Job: map 100% reduce 0%
17/02/24 10:45:49 INFO mapreduce.Job: map 100% reduce 67%
17/02/24 10:46:00 INFO mapreduce.Job: Task Id : attempt_1487926412544_0016_r_000000_0, Status : FAILED
Error: java.lang.IllegalArgumentException: Row length is 0
at org.apache.hadoop.hbase.client.Mutation.checkRow(Mutation.java:565)
at org.apache.hadoop.hbase.client.Put.<init>(Put.java:110)
at org.apache.hadoop.hbase.client.Put.<init>(Put.java:68)
at org.apache.hadoop.hbase.client.Put.<init>(Put.java:58)
at com.happiestminds.hadoop.CounterReducer.reduce(CounterReducer.java:45)
at com.happiestminds.hadoop.CounterReducer.reduce(CounterReducer.java:1)
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:171)
at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:635)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:390)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Driver类是给出了错误
package com.happiestminds.hadoop;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.MasterNotRunningException;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.MultipleInputs;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
public class Main extends Configured implements Tool {
/**
* @param args
* @throws Exception
*/
public static String outputTable = "mapreduceoutput";
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new Main(), args);
System.exit(exitCode);
}
@Override
public int run(String[] args) throws Exception {
Configuration config = HBaseConfiguration.create();
try{
HBaseAdmin.checkHBaseAvailable(config);
}
catch(MasterNotRunningException e){
System.out.println("Master not running");
System.exit(1);
}
Job job = Job.getInstance(config, "Hbase Test");
job.setJarByClass(Main.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
MultipleInputs.addInputPath(job, new Path(args[0]), TextInputFormat.class, ArticleMapper.class);
MultipleInputs.addInputPath(job, new Path(args[1]), TextInputFormat.class, StatisticsMapper.class);
TableMapReduceUtil.addDependencyJars(job);
TableMapReduceUtil.initTableReducerJob(outputTable, CounterReducer.class, job);
//job.setReducerClass(CounterReducer.class);
job.setNumReduceTasks(1);
return job.waitForCompletion(true) ? 0 : 1;
}
}
减速类是
package com.happiestminds.hadoop;
import java.io.IOException;
import org.apache.hadoop.hbase.client.Mutation;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class CounterReducer extends TableReducer<Text, Text, ImmutableBytesWritable> {
public static final byte[] CF = "counter".getBytes();
public static final byte[] COUNT = "combined".getBytes();
@Override
protected void reduce(Text key, Iterable<Text> values,
Reducer<Text, Text, ImmutableBytesWritable, Mutation>.Context context)
throws IOException, InterruptedException {
String vals = values.toString();
int counter = 0;
StringBuilder sbr = new StringBuilder();
System.out.println(key.toString());
for (Text val : values) {
String stat = val.toString();
if (stat.equals("***")) {
counter++;
} else {
sbr.append(stat + ",");
}
}
sbr.append("Article count : " + counter);
Put put = new Put(Bytes.toBytes(key.toString()));
put.addColumn(CF, COUNT, Bytes.toBytes(sbr.toString()));
if (counter != 0) {
context.write(null, put);
}
}
}
依赖
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.7.3</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.2.2</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>1.2.2</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>1.2.2</version>
</dependency>
</dependencies>
现在减速机卡住了100％。 –