本文整理汇总了Java中org.apache.hadoop.mapreduce.RecordWriter.close方法的典型用法代码示例。如果您正苦于以下问题：Java RecordWriter.close方法的具体用法？Java RecordWriter.close怎么用？Java RecordWriter.close使用的例子？那么恭喜您, 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.mapreduce.RecordWriter的用法示例。
在下文中一共展示了RecordWriter.close方法的13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: writeBadOutput
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
private void writeBadOutput(TaskAttempt attempt, Configuration conf)
throws Exception {
TaskAttemptContext tContext = new TaskAttemptContextImpl(conf,
TypeConverter.fromYarn(attempt.getID()));
TextOutputFormat<?, ?> theOutputFormat = new TextOutputFormat();
RecordWriter theRecordWriter = theOutputFormat
.getRecordWriter(tContext);
NullWritable nullWritable = NullWritable.get();
try {
theRecordWriter.write(key2, val2);
theRecordWriter.write(null, nullWritable);
theRecordWriter.write(null, val2);
theRecordWriter.write(nullWritable, val1);
theRecordWriter.write(key1, nullWritable);
theRecordWriter.write(key2, null);
theRecordWriter.write(null, null);
theRecordWriter.write(key1, val1);
} finally {
theRecordWriter.close(tContext);
}
OutputFormat outputFormat = ReflectionUtils.newInstance(
tContext.getOutputFormatClass(), conf);
OutputCommitter committer = outputFormat.getOutputCommitter(tContext);
committer.commitTask(tContext);
}
示例2: writeOutput
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
private void writeOutput(TaskAttempt attempt, Configuration conf)
throws Exception {
TaskAttemptContext tContext = new TaskAttemptContextImpl(conf,
TypeConverter.fromYarn(attempt.getID()));
TextOutputFormat<?, ?> theOutputFormat = new TextOutputFormat();
RecordWriter theRecordWriter = theOutputFormat
.getRecordWriter(tContext);
NullWritable nullWritable = NullWritable.get();
try {
theRecordWriter.write(key1, val1);
theRecordWriter.write(null, nullWritable);
theRecordWriter.write(null, val1);
theRecordWriter.write(nullWritable, val2);
theRecordWriter.write(key2, nullWritable);
theRecordWriter.write(key1, null);
theRecordWriter.write(null, null);
theRecordWriter.write(key2, val2);
} finally {
theRecordWriter.close(tContext);
}
OutputFormat outputFormat = ReflectionUtils.newInstance(
tContext.getOutputFormatClass(), conf);
OutputCommitter committer = outputFormat.getOutputCommitter(tContext);
committer.commitTask(tContext);
}
示例3: writeOutput
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@SuppressWarnings("unchecked")
private void writeOutput(RecordWriter theRecordWriter,
TaskAttemptContext context) throws IOException, InterruptedException {
NullWritable nullWritable = NullWritable.get();
try {
theRecordWriter.write(key1, val1);
theRecordWriter.write(null, nullWritable);
theRecordWriter.write(null, val1);
theRecordWriter.write(nullWritable, val2);
theRecordWriter.write(key2, nullWritable);
theRecordWriter.write(key1, null);
theRecordWriter.write(null, null);
theRecordWriter.write(key2, val2);
} finally {
theRecordWriter.close(context);
}
}
示例4: writeOutput
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
private void writeOutput(RecordWriter theRecordWriter,
TaskAttemptContext context) throws IOException, InterruptedException {
NullWritable nullWritable = NullWritable.get();
try {
theRecordWriter.write(key1, val1);
theRecordWriter.write(null, nullWritable);
theRecordWriter.write(null, val1);
theRecordWriter.write(nullWritable, val2);
theRecordWriter.write(key2, nullWritable);
theRecordWriter.write(key1, null);
theRecordWriter.write(null, null);
theRecordWriter.write(key2, val2);
} finally {
theRecordWriter.close(context);
}
}
示例5: testWriteBufferData
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@Test(enabled = true)
public void testWriteBufferData() throws Exception {
NullWritable nada = NullWritable.get();
MneDurableOutputSession<DurableBuffer<?>> sess =
new MneDurableOutputSession<DurableBuffer<?>>(m_tacontext, null,
MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
MneDurableOutputValue<DurableBuffer<?>> mdvalue =
new MneDurableOutputValue<DurableBuffer<?>>(sess);
OutputFormat<NullWritable, MneDurableOutputValue<DurableBuffer<?>>> outputFormat =
new MneOutputFormat<MneDurableOutputValue<DurableBuffer<?>>>();
RecordWriter<NullWritable, MneDurableOutputValue<DurableBuffer<?>>> writer =
outputFormat.getRecordWriter(m_tacontext);
DurableBuffer<?> dbuf = null;
Checksum cs = new CRC32();
cs.reset();
for (int i = 0; i < m_reccnt; ++i) {
dbuf = genupdDurableBuffer(sess, cs);
Assert.assertNotNull(dbuf);
writer.write(nada, mdvalue.of(dbuf));
}
m_checksum = cs.getValue();
writer.close(m_tacontext);
sess.close();
}
示例6: testWriteChunkData
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@Test(enabled = true)
public void testWriteChunkData() throws Exception {
NullWritable nada = NullWritable.get();
MneDurableOutputSession<DurableChunk<?>> sess =
new MneDurableOutputSession<DurableChunk<?>>(m_tacontext, null,
MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
MneDurableOutputValue<DurableChunk<?>> mdvalue =
new MneDurableOutputValue<DurableChunk<?>>(sess);
OutputFormat<NullWritable, MneDurableOutputValue<DurableChunk<?>>> outputFormat =
new MneOutputFormat<MneDurableOutputValue<DurableChunk<?>>>();
RecordWriter<NullWritable, MneDurableOutputValue<DurableChunk<?>>> writer =
outputFormat.getRecordWriter(m_tacontext);
DurableChunk<?> dchunk = null;
Checksum cs = new CRC32();
cs.reset();
for (int i = 0; i < m_reccnt; ++i) {
dchunk = genupdDurableChunk(sess, cs);
Assert.assertNotNull(dchunk);
writer.write(nada, mdvalue.of(dchunk));
}
m_checksum = cs.getValue();
writer.close(m_tacontext);
sess.close();
}
示例7: testWritePersonData
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@Test(enabled = true)
public void testWritePersonData() throws Exception {
NullWritable nada = NullWritable.get();
MneDurableOutputSession<Person<Long>> sess =
new MneDurableOutputSession<Person<Long>>(m_tacontext, null,
MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
MneDurableOutputValue<Person<Long>> mdvalue =
new MneDurableOutputValue<Person<Long>>(sess);
OutputFormat<NullWritable, MneDurableOutputValue<Person<Long>>> outputFormat =
new MneOutputFormat<MneDurableOutputValue<Person<Long>>>();
RecordWriter<NullWritable, MneDurableOutputValue<Person<Long>>> writer =
outputFormat.getRecordWriter(m_tacontext);
Person<Long> person = null;
for (int i = 0; i < m_reccnt; ++i) {
person = sess.newDurableObjectRecord();
person.setAge((short) m_rand.nextInt(50));
person.setName(String.format("Name: [%s]", Utils.genRandomString()), true);
m_sumage += person.getAge();
writer.write(nada, mdvalue.of(person));
}
writer.close(m_tacontext);
sess.close();
}
示例8: testWriteLongData
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@Test(enabled = true)
public void testWriteLongData() throws Exception {
NullWritable nada = NullWritable.get();
MneDurableOutputSession<Long> sess =
new MneDurableOutputSession<Long>(m_tacontext, null,
MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
MneDurableOutputValue<Long> mdvalue =
new MneDurableOutputValue<Long>(sess);
OutputFormat<NullWritable, MneDurableOutputValue<Long>> outputFormat =
new MneOutputFormat<MneDurableOutputValue<Long>>();
RecordWriter<NullWritable, MneDurableOutputValue<Long>> writer =
outputFormat.getRecordWriter(m_tacontext);
Long val = null;
for (int i = 0; i < m_reccnt; ++i) {
val = m_rand.nextLong();
m_sum += val;
writer.write(nada, mdvalue.of(val));
}
writer.close(m_tacontext);
sess.close();
}
示例9: runMapper
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@SuppressWarnings("unchecked")
void runMapper(TaskInputOutputContext context, int index) throws IOException,
InterruptedException {
Mapper mapper = mappers.get(index);
RecordReader rr = new ChainRecordReader(context);
RecordWriter rw = new ChainRecordWriter(context);
Mapper.Context mapperContext = createMapContext(rr, rw, context,
getConf(index));
mapper.run(mapperContext);
rr.close();
rw.close(context);
}
示例10: runReducer
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@SuppressWarnings("unchecked")
<KEYIN, VALUEIN, KEYOUT, VALUEOUT> void runReducer(
TaskInputOutputContext<KEYIN, VALUEIN, KEYOUT, VALUEOUT> context)
throws IOException, InterruptedException {
RecordWriter<KEYOUT, VALUEOUT> rw = new ChainRecordWriter<KEYOUT, VALUEOUT>(
context);
Reducer.Context reducerContext = createReduceContext(rw,
(ReduceContext) context, rConf);
reducer.run(reducerContext);
rw.close(context);
}
示例11: writeMapFileOutput
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
private void writeMapFileOutput(RecordWriter theRecordWriter,
TaskAttemptContext context) throws IOException, InterruptedException {
try {
int key = 0;
for (int i = 0 ; i < 10; ++i) {
key = i;
Text val = (i%2 == 1) ? val1 : val2;
theRecordWriter.write(new LongWritable(key),
val);
}
} finally {
theRecordWriter.close(context);
}
}
示例12: validateFileSplits
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
private static void validateFileSplits(final List<FileSplit> fileSplits, final Configuration configuration,
final Class<? extends InputFormat<NullWritable, VertexWritable>> inputFormatClass,
final Optional<Class<? extends OutputFormat<NullWritable, VertexWritable>>> outFormatClass) throws Exception {
final InputFormat inputFormat = ReflectionUtils.newInstance(inputFormatClass, configuration);
final TaskAttemptContext job = new TaskAttemptContextImpl(configuration, new TaskAttemptID(UUID.randomUUID().toString(), 0, TaskType.MAP, 0, 0));
int vertexCount = 0;
int outEdgeCount = 0;
int inEdgeCount = 0;
final OutputFormat<NullWritable, VertexWritable> outputFormat = outFormatClass.isPresent() ? ReflectionUtils.newInstance(outFormatClass.get(), configuration) : null;
final RecordWriter<NullWritable, VertexWritable> writer = null == outputFormat ? null : outputFormat.getRecordWriter(job);
boolean foundKeyValue = false;
for (final FileSplit split : fileSplits) {
logger.info("\treading file split {}", split.getPath().getName() + " ({}", split.getStart() + "..." + (split.getStart() + split.getLength()), "{} {} bytes)");
final RecordReader reader = inputFormat.createRecordReader(split, job);
float lastProgress = -1f;
while (reader.nextKeyValue()) {
//System.out.println("" + reader.getProgress() + "> " + reader.getCurrentKey() + ": " + reader.getCurrentValue());
final float progress = reader.getProgress();
assertTrue(progress >= lastProgress);
assertEquals(NullWritable.class, reader.getCurrentKey().getClass());
final VertexWritable vertexWritable = (VertexWritable) reader.getCurrentValue();
if (null != writer) writer.write(NullWritable.get(), vertexWritable);
vertexCount++;
outEdgeCount = outEdgeCount + (int) IteratorUtils.count(vertexWritable.get().edges(Direction.OUT));
inEdgeCount = inEdgeCount + (int) IteratorUtils.count(vertexWritable.get().edges(Direction.IN));
//
final Vertex vertex = vertexWritable.get();
assertEquals(Integer.class, vertex.id().getClass());
if (vertex.value("name").equals("SUGAR MAGNOLIA")) {
foundKeyValue = true;
assertEquals(92, IteratorUtils.count(vertex.edges(Direction.OUT)));
assertEquals(77, IteratorUtils.count(vertex.edges(Direction.IN)));
}
lastProgress = progress;
}
}
assertEquals(8049, outEdgeCount);
assertEquals(8049, inEdgeCount);
assertEquals(outEdgeCount, inEdgeCount);
assertEquals(808, vertexCount);
assertTrue(foundKeyValue);
if (null != writer) {
writer.close(new TaskAttemptContextImpl(configuration, job.getTaskAttemptID()));
for (int i = 1; i < 10; i++) {
final File outputDirectory = new File(new URL(configuration.get("mapreduce.output.fileoutputformat.outputdir")).toURI());
final List<FileSplit> splits = generateFileSplits(new File(outputDirectory.getAbsoluteFile() + "/_temporary/0/_temporary/" + job.getTaskAttemptID().getTaskID().toString().replace("task", "attempt") + "_0" + "/part-m-00000"), i);
validateFileSplits(splits, configuration, inputFormatClass, Optional.empty());
}
}
}
示例13: close
import org.apache.hadoop.mapreduce.RecordWriter; //导入方法依赖的package包/类
@Override
public void close(TaskAttemptContext context) throws IOException, InterruptedException {
for (RecordWriter writer : writers) {
writer.close(context);
}
}