概述
public class ReadAvroInput {
public static class ReadAvroInputMap extends Mapper<AvroKey<UserActionLog>, NullWritable, Text, IntWritable> {
private Text oKey = new Text();
private final IntWritable ONE = new IntWritable(1);
private UserActionLog keyData;
@Override
protected void map(AvroKey<UserActionLog> key, NullWritable value,
Mapper<AvroKey<UserActionLog>, NullWritable, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
keyData = key.datum();
oKey.set(keyData.getProvience().toString());
context.write(oKey, ONE);
}
}
public static class ReadAvroInputReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
private int sum;
private IntWritable oValue = new IntWritable();
@Override
protected void reduce(Text key, Iterable<IntWritable> values,
Reducer<Text, IntWritable, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
sum=0;
for (IntWritable value : values) {
sum += value.get();
}
oValue.set(sum);
context.write(key, oValue);
}
}
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
Configuration configuration =new Configuration();
Job job =Job.getInstance(configuration);
job.setJarByClass(ReadAvroInput.class);
job.setJobName("重读avro文件进行mr计算");
job.setMapperClass(ReadAvroInputMap.class);
job.setCombinerClass(ReadAvroInputReducer.class);
job.setReducerClass(ReadAvroInputReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setInputFormatClass(AvroKeyInputFormat.class);
AvroJob.setInputKeySchema(job, UserActionLog.getClassSchema());
FileInputFormat.addInputPath(job, new Path("/ReducerJoin/part-r-00000.avro"));
Path outputPath =new Path("/ReadAvroInput");
outputPath.getFileSystem(configuration).delete(outputPath, true);
FileOutputFormat.setOutputPath(job, outputPath);
System.exit(job.waitForCompletion(true)?0:1);
}
}
UserActionLog是通过mvn 指令通过schema框架生成的
最后
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