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Posted to dev@phoenix.apache.org by "Quan cheng (JIRA)" <ji...@apache.org> on 2015/04/15 11:25:58 UTC

[jira] [Created] (PHOENIX-1868) follow phoenix map/reduce sample code encounter cast error

Quan cheng created PHOENIX-1868:
-----------------------------------

             Summary: follow phoenix map/reduce sample code encounter cast error
                 Key: PHOENIX-1868
                 URL: https://issues.apache.org/jira/browse/PHOENIX-1868
             Project: Phoenix
          Issue Type: Test
    Affects Versions: 4.2.0
         Environment: hadoop-2.5.2/ hbase-0.98.8-hadoop2 / phoenix 4.3.1
            Reporter: Quan cheng
             Fix For: 4.2.0


I followed the map/reduce sample code, develop my map/reduce code, and I always encounter Text cast error:

5/04/15 16:57:43 WARN mapred.LocalJobRunner: job_local1114443330_0001
java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.NullWritable
        at org.apache.phoenix.mapreduce.PhoenixRecordWriter.write(PhoenixRecordWriter.java:39)
        at org.apache.hadoop.mapred.ReduceTask$NewTrackingRecordWriter.write(ReduceTask.java:576)
        at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
        at org.apache.hadoop.mapreduce.lib.reduce.WrappedReducer$Context.write(WrappedReducer.java:105)
        at org.apache.hadoop.mapreduce.Reducer.reduce(Reducer.java:150)
        at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:171)
        at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:645)
        at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:405)
        at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:445)
15/04/15 16:57:44 INFO mapreduce.Job:  map 100% reduce 0%
15/04/15 16:57:44 INFO mapreduce.Job: Job job_local1114443330_0001 failed with state FAILED due to: NA

Here is my code:

public class PMRAnalyzer {
	
	public static class PMRAnalyzerReducer extends Reducer<Text ,BytesWritable, NullWritable, PMRAnalyzResultWritable>{
		
		protected void reduce(Text key, BytesWritable findings, Context context)throws IOException, InterruptedException {
			
			Text pmr_token_text = new Text();
		
			String pmr_token = key.toString();
			String findings_jsonstr = new String(findings.copyBytes());
			
			PMRAnalyzResultWritable result = new PMRAnalyzResultWritable();
			
			JSONUtil util = new JSONUtil();
			PMRAnalyzeResult resultvo = new PMRAnalyzeResult();
			try{
			resultvo = (PMRAnalyzeResult)util.readJsonToVO(findings_jsonstr,PMRAnalyzeResult.class);			        			
			
			result.setProblem_description(new String(Base64.decode(resultvo.getProblem_description())));
			}catch(Exception e){e.printStackTrace();}
			
			result.setFindings(findings_jsonstr);
			//NullWritable nullwritable = NullWritable.get();
			//System.out.println("findings_jsonstr:"+findings_jsonstr);
			context.write(NullWritable.get(), result);
			
			
		}
		
		
	}

	public static class PMRAnalyzerMapper extends
			Mapper<NullWritable, PMRAnalyzResultWritable, Text, BytesWritable> {
	


		protected void map(NullWritable key,
				PMRAnalyzResultWritable analyzeResultWritable, Context context)
				throws IOException, InterruptedException {
			final String the_pmr_token = analyzeResultWritable.getPMRNO() + "_"
					+ analyzeResultWritable.getCREATED_TIME();
			final String pmr_text = analyzeResultWritable.getPMR_TEXT();
			
			Text pmr_token = new Text();
			Text findings = new Text();
         
				PMRAnalyzResultWritable resultwritable = new PMRAnalyzResultWritable();
				pmr_token.set(the_pmr_token);
				//findings.set(findings.toString());
				PMRParser parser = new PMRParser();
				String jsonstr = parser.parsePMRText(pmr_text, parser);			
				findings.set(jsonstr);				
				context.write(pmr_token, new BytesWritable(jsonstr.getBytes()));

		
		}

	
		
	}
	
	public static void main(String[] args) {
		// TODO Auto-generated method stub
		try{
		final Configuration configuration = HBaseConfiguration.create();
		final Job job = Job.getInstance(configuration, "phoenix-mr-job");

		// We can either specify a selectQuery or ignore it when we would like to retrieve all the columns
		final String selectQuery = "SELECT PMRNO,CREATED_TIME,PMR_TEXT FROM PMRTEXT ";

		// StockWritable is the DBWritable class that enables us to process the Result of the above query
		PhoenixMapReduceUtil.setInput(job, PMRAnalyzResultWritable.class, "PMRTEXT",  selectQuery);  

		// Set the target Phoenix table and the columns
		PhoenixMapReduceUtil.setOutput(job, "PMR_ANALYZER", "PMR_TOKEN,PROBLEM_DESCRIPTION,FINDINGS");

		job.setMapperClass(PMRAnalyzerMapper.class);
		job.setReducerClass(PMRAnalyzerReducer.class); 
		job.setOutputFormatClass(PhoenixOutputFormat.class);

		job.setMapOutputKeyClass(Text.class);
		job.setMapOutputValueClass(BytesWritable.class);
		job.setOutputKeyClass(NullWritable.class);
		job.setOutputValueClass(PMRAnalyzResultWritable.class); 
		TableMapReduceUtil.addDependencyJars(job);
		job.waitForCompletion(true);
		}catch(Exception e){e.printStackTrace();}

	}


}



 



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