十三、Hadoop Mapper

MapReduce – Mapper

主要是读取InputSplit的每一个Key,Value对并进行处理

public class Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT> {
    /**
     * 预处理，仅在map task启动时运行一次
     */
    protected void setup(Context context) throws  IOException, InterruptedException {
    }
    /**
     * 对于InputSplit中的每一对<key, value>都会运行一次
     */
    @SuppressWarnings("unchecked")
    protected void map(KEYIN key, VALUEIN value, Context context) throws IOException, InterruptedException {
        context.write((KEYOUT) key, (VALUEOUT) value);
    }
    /**
     * 扫尾工作，比如关闭流等
     */
    protected void cleanup(Context context) throws IOException, InterruptedException {
    }
    /**
     * map task的驱动器
     */
    public void run(Context context) throws IOException, InterruptedException {
        setup(context);
        while (context.nextKeyValue()) {
            map(context.getCurrentKey(), context.getCurrentValue(), context);
        }
        cleanup(context);
    }
public class MapContext<KEYIN, VALUEIN, KEYOUT, VALUEOUT> extends TaskInputOutputContext<KEYIN, VALUEIN, KEYOUT, VALUEOUT> {
    private RecordReader<KEYIN, VALUEIN> reader;
    private InputSplit split;
    /**
     * Get the input split for this map.
     */
    public InputSplit getInputSplit() {
        return split;
    }
    @Override
    public KEYIN getCurrentKey() throws IOException, InterruptedException {
        return reader.getCurrentKey();
    }
    @Override
    public VALUEIN getCurrentValue() throws IOException, InterruptedException {
        return reader.getCurrentValue();
    }
    @Override
    public boolean nextKeyValue() throws IOException, InterruptedException {
        return reader.nextKeyValue();
    }