org.apache.flink.api.java.hadoop.mapred.wrapper.HadoopDummyReporter Java Examples
The following examples show how to use
org.apache.flink.api.java.hadoop.mapred.wrapper.HadoopDummyReporter.
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Example #1
Source File: HadoopReduceCombineFunction.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.combiner.configure(jobConf); this.reporter = new HadoopDummyReporter(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer); this.combineCollector = new HadoopOutputCollector<>(); this.reduceCollector = new HadoopOutputCollector<>(); }
Example #2
Source File: HadoopReduceFunction.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer); }
Example #3
Source File: HadoopMapFunction.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.mapper.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.outputCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); }
Example #4
Source File: HadoopInputFormatBase.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override public void open(HadoopInputSplit split) throws IOException { // enforce sequential open() calls synchronized (OPEN_MUTEX) { this.recordReader = this.mapredInputFormat.getRecordReader(split.getHadoopInputSplit(), jobConf, new HadoopDummyReporter()); if (this.recordReader instanceof Configurable) { ((Configurable) this.recordReader).setConf(jobConf); } key = this.recordReader.createKey(); value = this.recordReader.createValue(); this.fetched = false; } }
Example #5
Source File: HadoopOutputFormatBase.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
/** * commit the task by moving the output file out from the temporary directory. * @throws java.io.IOException */ @Override public void close() throws IOException { // enforce sequential close() calls synchronized (CLOSE_MUTEX) { this.recordWriter.close(new HadoopDummyReporter()); if (this.outputCommitter.needsTaskCommit(this.context)) { this.outputCommitter.commitTask(this.context); } } }
Example #6
Source File: HadoopReduceCombineFunction.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.combiner.configure(jobConf); this.reporter = new HadoopDummyReporter(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer); this.combineCollector = new HadoopOutputCollector<>(); this.reduceCollector = new HadoopOutputCollector<>(); }
Example #7
Source File: HadoopReduceFunction.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer); }
Example #8
Source File: HadoopMapFunction.java From flink with Apache License 2.0 | 5 votes |
@Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.mapper.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.outputCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); }
Example #9
Source File: HadoopInputFormatBase.java From flink with Apache License 2.0 | 5 votes |
@Override public void open(HadoopInputSplit split) throws IOException { // enforce sequential open() calls synchronized (OPEN_MUTEX) { this.recordReader = this.mapredInputFormat.getRecordReader(split.getHadoopInputSplit(), jobConf, new HadoopDummyReporter()); if (this.recordReader instanceof Configurable) { ((Configurable) this.recordReader).setConf(jobConf); } key = this.recordReader.createKey(); value = this.recordReader.createValue(); this.fetched = false; } }
Example #10
Source File: HadoopOutputFormatBase.java From flink with Apache License 2.0 | 5 votes |
/** * commit the task by moving the output file out from the temporary directory. * @throws java.io.IOException */ @Override public void close() throws IOException { // enforce sequential close() calls synchronized (CLOSE_MUTEX) { this.recordWriter.close(new HadoopDummyReporter()); if (this.outputCommitter.needsTaskCommit(this.context)) { this.outputCommitter.commitTask(this.context); } } }
Example #11
Source File: HadoopReduceCombineFunction.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.combiner.configure(jobConf); this.reporter = new HadoopDummyReporter(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<>(keySerializer); this.combineCollector = new HadoopOutputCollector<>(); this.reduceCollector = new HadoopOutputCollector<>(); }
Example #12
Source File: HadoopReduceFunction.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") @Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.reducer.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.reduceCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); Class<KEYIN> inKeyClass = (Class<KEYIN>) TypeExtractor.getParameterType(Reducer.class, reducer.getClass(), 0); TypeSerializer<KEYIN> keySerializer = TypeExtractor.getForClass(inKeyClass).createSerializer(getRuntimeContext().getExecutionConfig()); this.valueIterator = new HadoopTupleUnwrappingIterator<KEYIN, VALUEIN>(keySerializer); }
Example #13
Source File: HadoopMapFunction.java From flink with Apache License 2.0 | 5 votes |
@Override public void open(Configuration parameters) throws Exception { super.open(parameters); this.mapper.configure(jobConf); this.reporter = new HadoopDummyReporter(); this.outputCollector = new HadoopOutputCollector<KEYOUT, VALUEOUT>(); }
Example #14
Source File: HadoopInputFormatBase.java From flink with Apache License 2.0 | 5 votes |
@Override public void open(HadoopInputSplit split) throws IOException { // enforce sequential open() calls synchronized (OPEN_MUTEX) { this.recordReader = this.mapredInputFormat.getRecordReader(split.getHadoopInputSplit(), jobConf, new HadoopDummyReporter()); if (this.recordReader instanceof Configurable) { ((Configurable) this.recordReader).setConf(jobConf); } key = this.recordReader.createKey(); value = this.recordReader.createValue(); this.fetched = false; } }
Example #15
Source File: HadoopOutputFormatBase.java From flink with Apache License 2.0 | 5 votes |
/** * commit the task by moving the output file out from the temporary directory. * @throws java.io.IOException */ @Override public void close() throws IOException { // enforce sequential close() calls synchronized (CLOSE_MUTEX) { this.recordWriter.close(new HadoopDummyReporter()); if (this.outputCommitter.needsTaskCommit(this.context)) { this.outputCommitter.commitTask(this.context); } } }
Example #16
Source File: TapInputFormat.java From cascading-flink with Apache License 2.0 | 4 votes |
@Override public void open(HadoopInputSplit split) throws IOException { this.jobConf = split.getJobConf(); this.flowProcess = new FlinkFlowProcess(this.jobConf, this.getRuntimeContext(), flowNode.getID()); processBeginTime = System.currentTimeMillis(); flowProcess.increment( SliceCounters.Process_Begin_Time, processBeginTime ); try { Set<FlowElement> sources = flowNode.getSourceElements(); if(sources.size() != 1) { throw new RuntimeException("FlowNode for TapInputFormat may only have a single source"); } FlowElement sourceElement = sources.iterator().next(); if(!(sourceElement instanceof Tap)) { throw new RuntimeException("Source of TapInputFormat must be a Tap"); } Tap source = (Tap)sourceElement; streamGraph = new SourceStreamGraph( flowProcess, flowNode, source ); sourceStage = this.streamGraph.getSourceStage(); sinkStage = this.streamGraph.getSinkStage(); for( Duct head : streamGraph.getHeads() ) { LOG.info("sourcing from: " + ((ElementDuct) head).getFlowElement()); } for( Duct tail : streamGraph.getTails() ) { LOG.info("sinking to: " + ((ElementDuct) tail).getFlowElement()); } } catch( Throwable throwable ) { if( throwable instanceof CascadingException) { throw (CascadingException) throwable; } throw new FlowException( "internal error during TapInputFormat configuration", throwable ); } RecordReader<?, ?> recordReader = this.mapredInputFormat.getRecordReader(split.getHadoopInputSplit(), jobConf, new HadoopDummyReporter()); if (recordReader instanceof Configurable) { ((Configurable) recordReader).setConf(jobConf); } else if (recordReader instanceof JobConfigurable) { ((JobConfigurable) recordReader).configure(jobConf); } try { this.sourceStage.setRecordReader(recordReader); } catch(Throwable t) { if(t instanceof IOException) { throw (IOException)t; } else { throw new RuntimeException(t); } } }