本文整理了Java中org.apache.hadoop.mapred.Mapper.close()方法的一些代码示例，展示了Mapper.close()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Mapper.close()方法的具体详情如下：
包路径：org.apache.hadoop.mapred.Mapper
类名称：Mapper
方法名：close

Mapper.close介绍

暂无

代码示例

代码示例来源：origin: apache/ignite

mapper.close();

代码示例来源：origin: org.jvnet.hudson.hadoop/hadoop-core

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: com.github.jiayuhan-it/hadoop-mapreduce-client-core

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: org.apache.hadoop/hadoop-mapred

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: io.hops/hadoop-mapreduce-client-core

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: ch.cern.hadoop/hadoop-mapreduce-client-core

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: com.facebook.hadoop/hadoop-core

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: io.prestosql.hadoop/hadoop-apache

public void close() throws IOException {
 if (mapper != null) {
  mapper.close();
 }
}

代码示例来源：origin: org.apache.crunch/crunch-core

@Override
public void cleanup(Emitter<Pair<K2, V2>> emitter) {
 try {
  instance.close();
 } catch (IOException e) {
  throw new CrunchRuntimeException("Error closing mapper = " + mapperClass, e);
 }
}

代码示例来源：origin: org.jvnet.hudson.hadoop/hadoop-core

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: io.hops/hadoop-mapreduce-client-core

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: ch.cern.hadoop/hadoop-mapreduce-client-core

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: org.apache.hadoop/hadoop-mapred

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: io.prestosql.hadoop/hadoop-apache

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: com.facebook.hadoop/hadoop-core

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: com.github.jiayuhan-it/hadoop-mapreduce-client-core

/**
 * Closes all the chain elements.
 *
 * @throws IOException thrown if any of the chain elements threw an
 *                     IOException exception.
 */
public void close() throws IOException {
 for (Mapper map : mappers) {
  map.close();
 }
 if (reducer != null) {
  reducer.close();
 }
}

代码示例来源：origin: com.github.jiayuhan-it/hadoop-mapreduce-client-core

public void run(RecordReader<K1, V1> input, OutputCollector<K2, V2> output,
        Reporter reporter)
 throws IOException {
 try {
  // allocate key & value instances that are re-used for all entries
  K1 key = input.createKey();
  V1 value = input.createValue();
  
  while (input.next(key, value)) {
   // map pair to output
   mapper.map(key, value, output, reporter);
   if(incrProcCount) {
    reporter.incrCounter(SkipBadRecords.COUNTER_GROUP, 
      SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS, 1);
   }
  }
 } finally {
  mapper.close();
 }
}

代码示例来源：origin: io.hops/hadoop-mapreduce-client-core

public void run(RecordReader<K1, V1> input, OutputCollector<K2, V2> output,
        Reporter reporter)
 throws IOException {
 try {
  // allocate key & value instances that are re-used for all entries
  K1 key = input.createKey();
  V1 value = input.createValue();
  
  while (input.next(key, value)) {
   // map pair to output
   mapper.map(key, value, output, reporter);
   if(incrProcCount) {
    reporter.incrCounter(SkipBadRecords.COUNTER_GROUP, 
      SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS, 1);
   }
  }
 } finally {
  mapper.close();
 }
}

代码示例来源：origin: org.apache.hadoop/hadoop-mapred

public void run(RecordReader<K1, V1> input, OutputCollector<K2, V2> output,
        Reporter reporter)
 throws IOException {
 try {
  // allocate key & value instances that are re-used for all entries
  K1 key = input.createKey();
  V1 value = input.createValue();
  
  while (input.next(key, value)) {
   // map pair to output
   mapper.map(key, value, output, reporter);
   if(incrProcCount) {
    reporter.incrCounter(SkipBadRecords.COUNTER_GROUP, 
      SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS, 1);
   }
  }
 } finally {
  mapper.close();
 }
}

代码示例来源：origin: io.prestosql.hadoop/hadoop-apache

public void run(RecordReader<K1, V1> input, OutputCollector<K2, V2> output,
        Reporter reporter)
 throws IOException {
 try {
  // allocate key & value instances that are re-used for all entries
  K1 key = input.createKey();
  V1 value = input.createValue();
  
  while (input.next(key, value)) {
   // map pair to output
   mapper.map(key, value, output, reporter);
   if(incrProcCount) {
    reporter.incrCounter(SkipBadRecords.COUNTER_GROUP, 
      SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS, 1);
   }
  }
 } finally {
  mapper.close();
 }
}