只使用Mapper不使用reduce会大大减少mapreduce程序的运行时间。
有时候程序会往多张hbase表写数据。
所以有如题的需求。
下面给出的代码,不是可以运行的代码,只是展示driver中需要进行的必要项设置,mapper类需要实现的接口,map函数需要的参数以及函数内部的处理方式。
实现过程比较曲折,只贴代码:
class Qos2HbaseDriver extends Configured implements Tool
{
private static Logger logger = LoggerFactory
.getLogger(Qos2HbaseDriver.class);
private static final int DEFAULT_NUM_REDUCE = 0; /**
* args[0]输入hdfs文件路径,args[1]输出表
*/ @Override
public int run(String[] args) throws Exception
{
Configuration conf = HBaseConfiguration.create();
conf.set("output", args[1]);//输出表1
conf.set("output2", args[2]);//输出表2 Job job = Job.getInstance(conf);
job.setJobName("iplane_Qos2Hbase");
job.setMapperClass(Qos2HbaseMapper.class);
FileInputFormat.setInputPaths(job, args[0]);
job.setMapOutputKeyClass(ImmutableBytesWritable.class);
job.setMapOutputValueClass(Put.class);
job.setOutputFormatClass(MultiTableOutputFormat.class); TableMapReduceUtil.addDependencyJars(job);
TableMapReduceUtil.addDependencyJars(job.getConfiguration());
job.setJarByClass(Qos2Hbase.class); // 设置reduce个数,可调节
int numberReduceTasks = 0;
job.setNumReduceTasks(numberReduceTasks);
boolean b = job.waitForCompletion(true);
if (!b)
{
logger.error("工作错误!");
return -1;
}
return 0;
}
}/**
* @ClassName: Qos2HbaseMapper
* @Description: 将结果入Hbase库的mapper类
* @author xxx
* @date 2014-9-16 下午1:18:49
*
*/
class Qos2HbaseMapper extends
Mapper<LongWritable, Text, ImmutableBytesWritable, Put>
{
private static Logger logger = LoggerFactory
.getLogger(Qos2HbaseMapper.class); @Override
public void map(LongWritable key, Text line, Context context)
throws IOException, InterruptedException
{
String output = context.getConfiguration().get("output");
String output2 = context.getConfiguration().get("output2"); // 组装rowkey:ip_ip
StringBuffer rowkeySb = "aaaa"; Put put = null;
String family = "d";
String qualifier = "";
// 直接将结果存入hbase
long ts = System.currentTimeMillis();
put = new Put(Bytes.toBytes(rowkeySb.toString())); qualifier = "del";
put.add(Bytes.toBytes(family), Bytes.toBytes(qualifier), ts,
Bytes.toBytes(values[6]));// 组装一条数据
if (!put.isEmpty())
{
ImmutableBytesWritable ib = new ImmutableBytesWritable();
ib.set(Bytes.toBytes(output));
context.write(ib, put);// 将结果存入hbase表
} // 存历史表
rowkeySb.append(rowkeySeparator).append(myDate);
put = new Put(Bytes.toBytes(rowkeySb.toString()));
qualifier = "del";
put.add(Bytes.toBytes(family), Bytes.toBytes(qualifier), ts,
Bytes.toBytes(values[6]));// 组装一条数据
if (!put.isEmpty())
{
ImmutableBytesWritable ib = new ImmutableBytesWritable();
ib.set(Bytes.toBytes(output2));
context.write(ib, put);// 将结果存入hbase表
} }
}