本文整理汇总了Java中org.apache.hadoop.mapred.JobConf.getCombinerClass方法的典型用法代码示例。如果您正苦于以下问题：Java JobConf.getCombinerClass方法的具体用法？Java JobConf.getCombinerClass怎么用？Java JobConf.getCombinerClass使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.mapred.JobConf的用法示例。
在下文中一共展示了JobConf.getCombinerClass方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testConsumerApi
import org.apache.hadoop.mapred.JobConf; //导入方法依赖的package包/类
@Test
/**
* A testing method verifying availability and accessibility of API that is needed
* for sub-classes of ShuffleConsumerPlugin
*/
public void testConsumerApi() {
JobConf jobConf = new JobConf();
ShuffleConsumerPlugin<K, V> shuffleConsumerPlugin = new TestShuffleConsumerPlugin<K, V>();
//mock creation
ReduceTask mockReduceTask = mock(ReduceTask.class);
TaskUmbilicalProtocol mockUmbilical = mock(TaskUmbilicalProtocol.class);
Reporter mockReporter = mock(Reporter.class);
FileSystem mockFileSystem = mock(FileSystem.class);
Class<? extends org.apache.hadoop.mapred.Reducer> combinerClass = jobConf.getCombinerClass();
@SuppressWarnings("unchecked") // needed for mock with generic
CombineOutputCollector<K, V> mockCombineOutputCollector =
(CombineOutputCollector<K, V>) mock(CombineOutputCollector.class);
org.apache.hadoop.mapreduce.TaskAttemptID mockTaskAttemptID =
mock(org.apache.hadoop.mapreduce.TaskAttemptID.class);
LocalDirAllocator mockLocalDirAllocator = mock(LocalDirAllocator.class);
CompressionCodec mockCompressionCodec = mock(CompressionCodec.class);
Counter mockCounter = mock(Counter.class);
TaskStatus mockTaskStatus = mock(TaskStatus.class);
Progress mockProgress = mock(Progress.class);
MapOutputFile mockMapOutputFile = mock(MapOutputFile.class);
Task mockTask = mock(Task.class);
try {
String [] dirs = jobConf.getLocalDirs();
// verify that these APIs are available through super class handler
ShuffleConsumerPlugin.Context<K, V> context =
new ShuffleConsumerPlugin.Context<K, V>(mockTaskAttemptID, jobConf, mockFileSystem,
mockUmbilical, mockLocalDirAllocator,
mockReporter, mockCompressionCodec,
combinerClass, mockCombineOutputCollector,
mockCounter, mockCounter, mockCounter,
mockCounter, mockCounter, mockCounter,
mockTaskStatus, mockProgress, mockProgress,
mockTask, mockMapOutputFile, null);
shuffleConsumerPlugin.init(context);
shuffleConsumerPlugin.run();
shuffleConsumerPlugin.close();
}
catch (Exception e) {
assertTrue("Threw exception:" + e, false);
}
// verify that these APIs are available for 3rd party plugins
mockReduceTask.getTaskID();
mockReduceTask.getJobID();
mockReduceTask.getNumMaps();
mockReduceTask.getPartition();
mockReporter.progress();
}
示例2: TestSucceedAndFailedCopyMap
import org.apache.hadoop.mapred.JobConf; //导入方法依赖的package包/类
@SuppressWarnings("rawtypes")
@Test
public <K, V> void TestSucceedAndFailedCopyMap() throws Exception {
JobConf job = new JobConf();
job.setNumMapTasks(2);
//mock creation
TaskUmbilicalProtocol mockUmbilical = mock(TaskUmbilicalProtocol.class);
Reporter mockReporter = mock(Reporter.class);
FileSystem mockFileSystem = mock(FileSystem.class);
Class<? extends org.apache.hadoop.mapred.Reducer> combinerClass = job.getCombinerClass();
@SuppressWarnings("unchecked") // needed for mock with generic
CombineOutputCollector<K, V> mockCombineOutputCollector =
(CombineOutputCollector<K, V>) mock(CombineOutputCollector.class);
org.apache.hadoop.mapreduce.TaskAttemptID mockTaskAttemptID =
mock(org.apache.hadoop.mapreduce.TaskAttemptID.class);
LocalDirAllocator mockLocalDirAllocator = mock(LocalDirAllocator.class);
CompressionCodec mockCompressionCodec = mock(CompressionCodec.class);
Counter mockCounter = mock(Counter.class);
TaskStatus mockTaskStatus = mock(TaskStatus.class);
Progress mockProgress = mock(Progress.class);
MapOutputFile mockMapOutputFile = mock(MapOutputFile.class);
Task mockTask = mock(Task.class);
@SuppressWarnings("unchecked")
MapOutput<K, V> output = mock(MapOutput.class);
ShuffleConsumerPlugin.Context<K, V> context =
new ShuffleConsumerPlugin.Context<K, V>(
mockTaskAttemptID, job, mockFileSystem,
mockUmbilical, mockLocalDirAllocator,
mockReporter, mockCompressionCodec,
combinerClass, mockCombineOutputCollector,
mockCounter, mockCounter, mockCounter,
mockCounter, mockCounter, mockCounter,
mockTaskStatus, mockProgress, mockProgress,
mockTask, mockMapOutputFile, null);
TaskStatus status = new TaskStatus() {
@Override
public boolean getIsMap() {
return false;
}
@Override
public void addFetchFailedMap(TaskAttemptID mapTaskId) {
}
};
Progress progress = new Progress();
ShuffleSchedulerImpl<K, V> scheduler = new ShuffleSchedulerImpl<K, V>(job,
status, null, null, progress, context.getShuffledMapsCounter(),
context.getReduceShuffleBytes(), context.getFailedShuffleCounter());
MapHost host1 = new MapHost("host1", null);
TaskAttemptID failedAttemptID = new TaskAttemptID(
new org.apache.hadoop.mapred.TaskID(
new JobID("test",0), TaskType.MAP, 0), 0);
TaskAttemptID succeedAttemptID = new TaskAttemptID(
new org.apache.hadoop.mapred.TaskID(
new JobID("test",0), TaskType.MAP, 1), 1);
// handle output fetch failure for failedAttemptID, part I
scheduler.hostFailed(host1.getHostName());
// handle output fetch succeed for succeedAttemptID
long bytes = (long)500 * 1024 * 1024;
scheduler.copySucceeded(succeedAttemptID, host1, bytes, 0, 500000, output);
// handle output fetch failure for failedAttemptID, part II
// for MAPREDUCE-6361: verify no NPE exception get thrown out
scheduler.copyFailed(failedAttemptID, host1, true, false);
}