Java 类org.apache.hadoop.mapreduce.task.ReduceContextImpl 实例源码
项目：hServer
文件：HadoopVersionSpecificCode_CDH4.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_CDH5_YARN.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_HADOOP2_YARN.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_CDH5.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_HDP2_1_YARN.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_CDH5_2.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_HDP2_2_YARN.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_IBM_BI.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hServer
文件：HadoopVersionSpecificCode_CDH5_2_YARN.java
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
TaskAttemptID id,
OutputCommitter outputCommitter,
RecordWriter<KEYOUT, VALUEOUT> output,
KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
//Override the actual key and value class with Writables, to ensure that constructor
//will not throw exception if SerializationFactory does not support that class.
//Any actual serialization/deserialization is performed by DataTransport, so this
//factory is never used.
super();
impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
, null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
this.transport = transport;
this.mapOutputAccumulatorCallback = consumer;
}
项目：hadoop
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：aliyun-oss-hadoop-fs
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：big-c
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hadoop-2.6.0-cdh5.4.3
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hadoop-2.6.0-cdh5.4.3
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hadoop-plus
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：FlexMap
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hops
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：incubator-asterixdb-hyracks
文件：MRContextUtil.java
@SuppressWarnings({ "rawtypes", "unchecked" })
public Reducer.Context createReduceContext(Configuration conf, TaskAttemptID taskid, RawKeyValueIterator input,
Counter inputKeyCounter, Counter inputValueCounter, RecordWriter output, OutputCommitter committer,
StatusReporter reporter, RawComparator comparator, Class keyClass, Class valueClass)
throws HyracksDataException {
try {
return new WrappedReducer().getReducerContext(new ReduceContextImpl(conf, taskid, input, inputKeyCounter,
inputValueCounter, output, committer, reporter, comparator, keyClass, valueClass));
} catch (Exception e) {
throw new HyracksDataException(e);
}
}
项目：hadoop-TCP
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hardfs
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hadoop-on-lustre2
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hanoi-hadoop-2.0.0-cdh
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：mapreduce-fork
文件：Task.java
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE>
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
<INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator<INKEY> comparator,
Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE>
reduceContext =
new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId,
rIter,
inputKeyCounter,
inputValueCounter,
output,
committer,
reporter,
comparator,
keyClass,
valueClass);
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
reducerContext =
new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
reduceContext);
return reducerContext;
}
项目：hadoop
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hadoop
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：aliyun-oss-hadoop-fs
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：aliyun-oss-hadoop-fs
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：big-c
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：big-c
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hadoop-2.6.0-cdh5.4.3
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hadoop-2.6.0-cdh5.4.3
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hadoop-plus
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hadoop-plus
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hops
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hops
文件：TestGridMixClasses.java
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hadoop-TCP
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hadoop-TCP
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hardfs
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}
项目：hardfs
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testSleepReducer() throws Exception {
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskId = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
conf, taskId, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, NullWritable.class);
org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
.getReducerContext(reducecontext);
SleepReducer test = new SleepReducer();
long start = System.currentTimeMillis();
test.setup(context);
long sleeper = context.getCurrentKey().getReduceOutputBytes();
// status has been changed
assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
// should sleep 0.9 sec
assertTrue(System.currentTimeMillis() >= (start + sleeper));
test.cleanup(context);
// status has been changed again
assertEquals("Slept for " + sleeper, context.getStatus());
}
项目：hadoop-on-lustre2
文件：TestGridMixClasses.java
@Test (timeout=1000)
public void testLoadJobLoadReducer() throws Exception {
LoadJob.LoadReducer test = new LoadJob.LoadReducer();
Configuration conf = new Configuration();
conf.setInt(JobContext.NUM_REDUCES, 2);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(FileOutputFormat.COMPRESS, true);
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
TaskAttemptID taskid = new TaskAttemptID();
RawKeyValueIterator input = new FakeRawKeyValueIterator();
Counter counter = new GenericCounter();
Counter inputValueCounter = new GenericCounter();
LoadRecordWriter output = new LoadRecordWriter();
OutputCommitter committer = new CustomOutputCommitter();
StatusReporter reporter = new DummyReporter();
RawComparator<GridmixKey> comparator = new FakeRawComparator();
ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
conf, taskid, input, counter, inputValueCounter, output, committer,
reporter, comparator, GridmixKey.class, GridmixRecord.class);
// read for previous data
reduceContext.nextKeyValue();
org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
.getReducerContext(reduceContext);
// test.setup(context);
test.run(context);
// have been readed 9 records (-1 for previous)
assertEquals(9, counter.getValue());
assertEquals(10, inputValueCounter.getValue());
assertEquals(1, output.getData().size());
GridmixRecord record = output.getData().values().iterator()
.next();
assertEquals(1593, record.getSize());
}