运行 Hbase 上的 MapReduce 导出 Table thorws 找不到值 class 的反序列化器：'org.apache.hadoop.hbase.client.Result

Question

我已经使用 Hbase Export 实用工具对 Hbase table 进行了备份。

hbase org.apache.hadoop.hbase.mapreduce.Export "FinancialLineItem" "/project/fricadev/ESGTRF/EXPORT"

这已启动 mapreduce 并且 t运行sferred 我所有的 table 数据到输出文件夹中。根据文档，ouotput 文件的文件格式将是序列文件。所以我运行下面的代码从文件中提取我的键和值 .

现在我想运行 mapreduce 从输出文件中读取键值但低于异常

java.lang.Exception: java.io.IOException: Could not find a deserializer for the Value class: 'org.apache.hadoop.hbase.client.Result'. Please ensure that the configuration 'io.serializations' is properly configured, if you're using custom serialization. at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:406) Caused by: java.io.IOException: Could not find a deserializer for the Value class: 'org.apache.hadoop.hbase.client.Result'. Please ensure that the configuration 'io.serializations' is properly configured, if you're using custom serialization. at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1964) at org.apache.hadoop.io.SequenceFile$Reader.initialize(SequenceFile.java:1811) at org.apache.hadoop.io.SequenceFile$Reader.(SequenceFile.java:1760) at org.apache.hadoop.io.SequenceFile$Reader.(SequenceFile.java:1774) at org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.initialize(SequenceFileRecordReader.java:50) at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.initialize(MapTask.java:478) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:671) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)

这是我的驱动代码

package SEQ;

import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
public class SeqDriver extends Configured implements Tool 
{
    public static void main(String[] args) throws Exception{
        int exitCode = ToolRunner.run(new SeqDriver(), args);
        System.exit(exitCode);
    }

    public int run(String[] args) throws Exception {
        if (args.length != 2) {
            System.err.printf("Usage: %s needs two arguments   files\n",
                    getClass().getSimpleName());
            return -1;
        }
        String outputPath = args[1];

        FileSystem hfs = FileSystem.get(getConf());
        Job job = new Job();
        job.setJarByClass(SeqDriver.class);
        job.setJobName("SequenceFileReader");

        HDFSUtil.removeHdfsSubDirIfExists(hfs, new Path(outputPath), true);

        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));

        job.setOutputKeyClass(ImmutableBytesWritable.class);
        job.setOutputValueClass(Result.class);
        job.setInputFormatClass(SequenceFileInputFormat.class);

        job.setMapperClass(MySeqMapper.class);

        job.setNumReduceTasks(0);


        int returnValue = job.waitForCompletion(true) ? 0:1;

        if(job.isSuccessful()) {
            System.out.println("Job was successful");
        } else if(!job.isSuccessful()) {
            System.out.println("Job was not successful");           
        }

        return returnValue;
    }
}

这是我的映射器代码

package SEQ;

import java.io.IOException;

import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;

public class MySeqMapper extends Mapper <ImmutableBytesWritable, Result, Text, Text>{

    @Override
    public void map(ImmutableBytesWritable row, Result value,Context context)
    throws IOException, InterruptedException {
    }
  }

Answer 1

所以我会回答我的问题这是让它工作所需要的

因为我们使用 HBase 来存储我们的数据并且这个 reducer 将它的结果输出到 HBase table，Hadoop 告诉我们他不知道如何序列化我们的数据。这就是为什么我们需要帮助它。在 setUp 中设置 io.serializations 变量

hbaseConf.setStrings("io.serializations", new String[]{hbaseConf.get("io.serializations"), MutationSerialization.class.getName(), ResultSerialization.class.getName()});

运行 Hbase 上的 MapReduce 导出 Table thorws 找不到值 class 的反序列化器：'org.apache.hadoop.hbase.client.Result

Running MapReduce on Hbase Exported Table thorws Could not find a deserializer for the Value class: 'org.apache.hadoop.hbase.client.Result

hbase

mapreduce

hdfs

sequencefile

hadoop2