Mapreduce读取Hbase表，写数据到多个Hbase表中

Job端的变化：

通过设置conf，配置输出表，在reduce中获取输出表名字

Configuration conf = job.getConfiguration();

//输出表1

conf.set("usertag_output", "usertag");

//输出表2

conf.set("prodtag_output", "prodtag");

 　　　　job.setReducerClass(LabelReducer.class);
        job.setOutputValueClass(Put.class);
        job.setOutputFormatClass(MultiTableOutputFormat.class);

　

LabelReducer:

@Override
public void reduce(Text key, Iterable<Text> values, Context context)
throws IOException, InterruptedException
{

.......

Put put = new Put(userid.getBytes());
put.add("usertags".getBytes(), "usertags".getBytes(), outputlabel.toString().getBytes());

　　

　............

ImmutableBytesWritable ib = new ImmutableBytesWritable();
ib.set(Bytes.toBytes(usertag_output)); // 将结果存入hbase表
context.write(ib, put);

　　

}