标签:mapreduce
总结之前工作中遇到的一个问题。 if(ttype.equals("other")){
file = (result.toString().hashCode() & 0x7FFFFFFF)%400;
}else if(ttype.equals("client")){
file = (result.toString().hashCode() & 0x7FFFFFFF)%260;
}else{
file = (result.toString().hashCode()& 0x7FFFFFFF)%60;
}
tp = new TextPair(ttype+"_"+file, result.toString());
context.write(tp, valuet); public void reduce(TextPair key, Iterable<Text> values, Context context) throws IOException, InterruptedException
{
rcfileCols = getRcfileCols(key.getSecond().toString().split("\001"));
context.write(key.getFirst(), rcfileCols);
} job.setOutputFormatClass(WapApacheMutiOutputFormat.class);
public class WapApacheMutiOutputFormat extends RCFileMultipleOutputFormat<Text, BytesRefArrayWritable> {
Random r = new Random();
protected String generateFileNameForKeyValue(Text key, BytesRefArrayWritable value,
Configuration conf) {
String typedir = key.toString().split("_")[0];
return typedir+"/"+key.toString();
}
}
用一个MapReduce job实现去重,多目录输出功能,布布扣,bubuko.com
标签:mapreduce
原文地址:http://blog.csdn.net/cuirong1986/article/details/37654951