/**
* Create a map-only Hadoop Job out of the passed in parameters. Does not set the
* Job name.
*
* @see #getCustomJobName(String, org.apache.hadoop.mapreduce.JobContext, Class, Class)
*/
@SuppressWarnings("rawtypes")
public static Job prepareJob(Path inputPath,
Path outputPath,
Class<? extends InputFormat> inputFormat,
Class<? extends Mapper> mapper,
Class<? extends Writable> mapperKey,
Class<? extends Writable> mapperValue,
Class<? extends OutputFormat> outputFormat, Configuration conf) throws IOException {
//Job job = new Job(new Configuration(conf));
Job job = Job.getInstance(conf);
Configuration jobConf = job.getConfiguration();
if (mapper.equals(Mapper.class)) {
throw new IllegalStateException("Can't figure out the user class jar file from mapper/reducer");
}
job.setJarByClass(mapper);
job.setInputFormatClass(inputFormat);
jobConf.set("mapred.input.dir", inputPath.toString());
job.setMapperClass(mapper);
job.setMapOutputKeyClass(mapperKey);
job.setMapOutputValueClass(mapperValue);
job.setOutputKeyClass(mapperKey);
job.setOutputValueClass(mapperValue);
jobConf.setBoolean("mapred.compress.map.output", true);
job.setNumReduceTasks(0);
job.setOutputFormatClass(outputFormat);
jobConf.set("mapred.output.dir", outputPath.toString());
return job;
}
void checkFormat(Job job) throws Exception {
TaskAttemptContext attemptContext =
new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID("123", 0, false, 1, 2));
MyClassMessagePackBase64LineInputFormat format = new MyClassMessagePackBase64LineInputFormat();
FileInputFormat.setInputPaths(job, workDir);
List<InputSplit> splits = format.getSplits(job);
for (int j = 0; j < splits.size(); j++) {
RecordReader<LongWritable, MyClassWritable> reader =
format.createRecordReader(splits.get(j), attemptContext);
reader.initialize(splits.get(j), attemptContext);
int count = 0;
try {
while (reader.nextKeyValue()) {
LongWritable key = reader.getCurrentKey();
MyClassWritable val = reader.getCurrentValue();
MyClass mc = val.get();
assertEquals(mc.v, count);
assertEquals(mc.s, Integer.toString(count));
count++;
}
} finally {
reader.close();
}
}
}