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                ## MapReduce - Mapper 主要是讀取InputSplit的每一個Key,Value對并進行處理 ~~~ public class Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT> { /** * 預處理,僅在map task啟動時運行一次 */ protected void setup(Context context) throws IOException, InterruptedException { } /** * 對于InputSplit中的每一對<key, value>都會運行一次 */ @SuppressWarnings("unchecked") protected void map(KEYIN key, VALUEIN value, Context context) throws IOException, InterruptedException { context.write((KEYOUT) key, (VALUEOUT) value); } /** * 掃尾工作,比如關閉流等 */ protected void cleanup(Context context) throws IOException, InterruptedException { } /** * map task的驅動器 */ 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(); } } ~~~
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