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[streaming] Added CoBatchedDataStream and CoWindowDataStream with red…
…uce functionality + CoBatchReduce bugfix [streaming] RAT & Checkstyle fix
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104
...ing-core/src/main/java/org/apache/flink/streaming/api/datastream/CoBatchedDataStream.java
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package org.apache.flink.streaming.api.datastream; | ||
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import org.apache.flink.streaming.api.function.co.CoReduceFunction; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoBatchReduceInvokable; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoGroupedBatchReduceInvokable; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoInvokable; | ||
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/** | ||
* A {@link CoBatchedDataStream} represents a two data stream whose elements are | ||
* batched together in sliding batches. Operation | ||
* {@link #reduce(ReduceFunction)} can be applied for each batch and the batch | ||
* is slid afterwards. | ||
* | ||
* @param <IN1> | ||
* The type of the first input data stream | ||
* @param <IN2> | ||
* The type of the second input data stream | ||
*/ | ||
public class CoBatchedDataStream<IN1, IN2> extends ConnectedDataStream<IN1, IN2> { | ||
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protected long batchSize1; | ||
protected long batchSize2; | ||
protected long slideSize1; | ||
protected long slideSize2; | ||
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protected CoBatchedDataStream(DataStream<IN1> dataStream1, DataStream<IN2> dataStream2, | ||
long batchSize1, long batchSize2, long slideSize1, long slideSize2) { | ||
super(dataStream1, dataStream2); | ||
this.batchSize1 = batchSize1; | ||
this.batchSize2 = batchSize2; | ||
this.slideSize1 = slideSize1; | ||
this.slideSize2 = slideSize2; | ||
} | ||
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protected CoBatchedDataStream(ConnectedDataStream<IN1, IN2> coDataStream, long batchSize1, | ||
long batchSize2, long slideSize1, long slideSize2) { | ||
super(coDataStream); | ||
this.batchSize1 = batchSize1; | ||
this.batchSize2 = batchSize2; | ||
this.slideSize1 = slideSize1; | ||
this.slideSize2 = slideSize2; | ||
} | ||
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protected CoBatchedDataStream(CoBatchedDataStream<IN1, IN2> coBatchedDataStream) { | ||
super(coBatchedDataStream); | ||
this.batchSize1 = coBatchedDataStream.batchSize1; | ||
this.batchSize2 = coBatchedDataStream.batchSize2; | ||
this.slideSize1 = coBatchedDataStream.slideSize1; | ||
this.slideSize2 = coBatchedDataStream.slideSize2; | ||
} | ||
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/** | ||
* Groups the elements of the {@link CoBatchedDataStream} by the given key | ||
* positions to be used with grouped operators. | ||
* | ||
* @param keyPosition1 | ||
* The position of the field on which the first input data stream | ||
* will be grouped. | ||
* @param keyPosition2 | ||
* The position of the field on which the second input data | ||
* stream will be grouped. | ||
* @return The transformed {@link CoBatchedDataStream} | ||
*/ | ||
public CoBatchedDataStream<IN1, IN2> groupBy(int keyPosition1, int keyPosition2) { | ||
return new CoBatchedDataStream<IN1, IN2>(dataStream1.groupBy(keyPosition1), | ||
dataStream2.groupBy(keyPosition2), batchSize1, batchSize2, slideSize1, slideSize2); | ||
} | ||
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@Override | ||
protected <OUT> CoInvokable<IN1, IN2, OUT> getReduceInvokable( | ||
CoReduceFunction<IN1, IN2, OUT> coReducer) { | ||
CoBatchReduceInvokable<IN1, IN2, OUT> invokable; | ||
if (isGrouped) { | ||
invokable = new CoGroupedBatchReduceInvokable<IN1, IN2, OUT>(coReducer, batchSize1, | ||
batchSize2, slideSize1, slideSize2, keyPosition1, keyPosition2); | ||
} else { | ||
invokable = new CoBatchReduceInvokable<IN1, IN2, OUT>(coReducer, batchSize1, | ||
batchSize2, slideSize1, slideSize2); | ||
} | ||
return invokable; | ||
} | ||
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protected CoBatchedDataStream<IN1, IN2> copy() { | ||
return new CoBatchedDataStream<IN1, IN2>(this); | ||
} | ||
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} |
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...ming-core/src/main/java/org/apache/flink/streaming/api/datastream/CoWindowDataStream.java
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package org.apache.flink.streaming.api.datastream; | ||
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import org.apache.flink.streaming.api.function.co.CoReduceFunction; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoGroupedWindowReduceInvokable; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoInvokable; | ||
import org.apache.flink.streaming.api.invokable.operator.co.CoWindowReduceInvokable; | ||
import org.apache.flink.streaming.api.invokable.util.TimeStamp; | ||
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/** | ||
* A {@link CoWindowDataStream} represents two data streams whose elements are | ||
* batched together into sliding windows. Operation | ||
* {@link #reduce(CoReduceFunction)} can be applied for each window. | ||
* | ||
* @param <IN1> | ||
* The type of the first input data stream | ||
* @param <IN2> | ||
* The type of the second input data stream | ||
*/ | ||
public class CoWindowDataStream<IN1, IN2> extends CoBatchedDataStream<IN1, IN2> { | ||
TimeStamp<IN1> timeStamp1; | ||
TimeStamp<IN2> timeStamp2; | ||
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protected CoWindowDataStream(DataStream<IN1> dataStream1, DataStream<IN2> dataStream2, | ||
long windowSize1, long windowSize2, long slideInterval1, long slideInterval2, | ||
TimeStamp<IN1> timeStamp1, TimeStamp<IN2> timeStamp2) { | ||
super(dataStream1, dataStream2, windowSize1, windowSize2, slideInterval1, slideInterval2); | ||
this.timeStamp1 = timeStamp1; | ||
this.timeStamp2 = timeStamp2; | ||
} | ||
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protected CoWindowDataStream(ConnectedDataStream<IN1, IN2> coDataStream, long windowSize1, | ||
long windowSize2, long slideInterval1, long slideInterval2, TimeStamp<IN1> timeStamp1, | ||
TimeStamp<IN2> timeStamp2) { | ||
super(coDataStream, windowSize1, windowSize2, slideInterval1, slideInterval2); | ||
this.timeStamp1 = timeStamp1; | ||
this.timeStamp2 = timeStamp2; | ||
} | ||
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protected CoWindowDataStream(CoWindowDataStream<IN1, IN2> coWindowDataStream) { | ||
super(coWindowDataStream); | ||
this.timeStamp1 = coWindowDataStream.timeStamp1; | ||
this.timeStamp2 = coWindowDataStream.timeStamp2; | ||
} | ||
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public CoWindowDataStream<IN1, IN2> groupBy(int keyPosition1, int keyPosition2) { | ||
return new CoWindowDataStream<IN1, IN2>(dataStream1.groupBy(keyPosition1), | ||
dataStream2.groupBy(keyPosition2), batchSize1, batchSize2, slideSize1, slideSize2, | ||
timeStamp1, timeStamp2); | ||
} | ||
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@Override | ||
protected <OUT> CoInvokable<IN1, IN2, OUT> getReduceInvokable( | ||
CoReduceFunction<IN1, IN2, OUT> coReducer) { | ||
CoWindowReduceInvokable<IN1, IN2, OUT> invokable; | ||
if (isGrouped) { | ||
invokable = new CoGroupedWindowReduceInvokable<IN1, IN2, OUT>(coReducer, batchSize1, | ||
batchSize2, slideSize1, slideSize2, keyPosition1, keyPosition2, timeStamp1, | ||
timeStamp2); | ||
} else { | ||
invokable = new CoWindowReduceInvokable<IN1, IN2, OUT>(coReducer, batchSize1, | ||
batchSize2, slideSize1, slideSize2, timeStamp1, timeStamp2); | ||
} | ||
return invokable; | ||
} | ||
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protected CoWindowDataStream<IN1, IN2> copy() { | ||
return new CoWindowDataStream<IN1, IN2>(this); | ||
} | ||
} |
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