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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2021/10/25 04:33:04 UTC
[GitHub] [flink-ml] guoweiM commented on a change in pull request #12: [FLINK-6][iteration] add unbounded iteration.
guoweiM commented on a change in pull request #12:
URL: https://github.com/apache/flink-ml/pull/12#discussion_r735249190
##########
File path: flink-ml-iteration/src/test/java/org/apache/flink/iteration/IterationConstructionTest.java
##########
@@ -0,0 +1,141 @@
+/*
+ * 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
+ *
+ * http://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.
+ */
+
+package org.apache.flink.iteration;
+
+import org.apache.flink.iteration.compile.DraftExecutionEnvironment;
+import org.apache.flink.runtime.jobgraph.JobGraph;
+import org.apache.flink.runtime.jobgraph.JobVertex;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.co.CoProcessFunction;
+import org.apache.flink.streaming.api.functions.sink.DiscardingSink;
+import org.apache.flink.util.Collector;
+import org.apache.flink.util.OutputTag;
+
+import org.junit.Test;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.assertSame;
+
+/** Verifies the created job graph satisfy the expectation. */
+public class IterationConstructionTest {
Review comment:
I think we might need to add a test to verify the expectation when the iteration body does nothing, which means the feedback stream is the same with the "draft source"
##########
File path: flink-ml-iteration/src/main/java/org/apache/flink/iteration/IterationFactory.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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
+ *
+ * http://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.
+ */
+
+package org.apache.flink.iteration;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.iteration.compile.DraftExecutionEnvironment;
+import org.apache.flink.iteration.operator.HeadOperatorFactory;
+import org.apache.flink.iteration.operator.InputOperator;
+import org.apache.flink.iteration.operator.OperatorWrapper;
+import org.apache.flink.iteration.operator.OutputOperator;
+import org.apache.flink.iteration.operator.TailOperator;
+import org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+
+import static org.apache.flink.util.Preconditions.checkState;
+
+/** Creates iteration in a job. */
+@Internal
+public class IterationFactory {
+
+ @SuppressWarnings({"unchecked", "rawtypes"})
+ public static DataStreamList createIteration(
+ DataStreamList initVariableStreams,
+ DataStreamList dataStreams,
+ IterationBody body,
+ OperatorWrapper<?, IterationRecord<?>> initialOperatorWrapper,
+ boolean mayHaveCriteria) {
+ checkState(initVariableStreams.size() > 0, "There should be at least one variable stream");
+
+ IterationID iterationId = new IterationID();
+
+ List<TypeInformation<?>> initVariableTypeInfos = getTypeInfos(initVariableStreams);
+ List<TypeInformation<?>> dataStreamTypeInfos = getTypeInfos(dataStreams);
+
+ // Add heads and inputs
+ int totalInitVariableParallelism =
+ map(initVariableStreams, DataStream::getParallelism).stream()
+ .mapToInt(i -> i)
+ .sum();
+ DataStreamList initVariableInputs = addInputs(initVariableStreams, false);
+ DataStreamList headStreams =
+ addHeads(
+ initVariableStreams,
+ initVariableInputs,
+ iterationId,
+ totalInitVariableParallelism,
+ false,
+ 0);
+
+ DataStreamList dataStreamInputs = addInputs(dataStreams, true);
+
+ // Create the iteration body.
+ StreamExecutionEnvironment env = initVariableStreams.get(0).getExecutionEnvironment();
+ DraftExecutionEnvironment draftEnv =
+ new DraftExecutionEnvironment(env, initialOperatorWrapper);
+ DataStreamList draftHeadStreams =
Review comment:
Maybe you could add more comments to explain why we need the draft source and not use the head operator directly.
##########
File path: flink-ml-iteration/src/main/java/org/apache/flink/iteration/IterationFactory.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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
+ *
+ * http://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.
+ */
+
+package org.apache.flink.iteration;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.iteration.compile.DraftExecutionEnvironment;
+import org.apache.flink.iteration.operator.HeadOperatorFactory;
+import org.apache.flink.iteration.operator.InputOperator;
+import org.apache.flink.iteration.operator.OperatorWrapper;
+import org.apache.flink.iteration.operator.OutputOperator;
+import org.apache.flink.iteration.operator.TailOperator;
+import org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+
+import static org.apache.flink.util.Preconditions.checkState;
+
+/** Creates iteration in a job. */
+@Internal
+public class IterationFactory {
+
+ @SuppressWarnings({"unchecked", "rawtypes"})
+ public static DataStreamList createIteration(
+ DataStreamList initVariableStreams,
+ DataStreamList dataStreams,
+ IterationBody body,
+ OperatorWrapper<?, IterationRecord<?>> initialOperatorWrapper,
+ boolean mayHaveCriteria) {
+ checkState(initVariableStreams.size() > 0, "There should be at least one variable stream");
+
+ IterationID iterationId = new IterationID();
+
+ List<TypeInformation<?>> initVariableTypeInfos = getTypeInfos(initVariableStreams);
+ List<TypeInformation<?>> dataStreamTypeInfos = getTypeInfos(dataStreams);
+
+ // Add heads and inputs
+ int totalInitVariableParallelism =
+ map(initVariableStreams, DataStream::getParallelism).stream()
Review comment:
AFAIK, the `getParallelism` could be `ExecutionConfig.PARALLELISM_DEFAULT`, which is <0.
Is the total InitVariableParallelism still valid if this is the case ?
##########
File path: flink-ml-iteration/src/main/java/org/apache/flink/iteration/IterationFactory.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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
+ *
+ * http://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.
+ */
+
+package org.apache.flink.iteration;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.iteration.compile.DraftExecutionEnvironment;
+import org.apache.flink.iteration.operator.HeadOperatorFactory;
+import org.apache.flink.iteration.operator.InputOperator;
+import org.apache.flink.iteration.operator.OperatorWrapper;
+import org.apache.flink.iteration.operator.OutputOperator;
+import org.apache.flink.iteration.operator.TailOperator;
+import org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+
+import static org.apache.flink.util.Preconditions.checkState;
+
+/** Creates iteration in a job. */
+@Internal
+public class IterationFactory {
+
+ @SuppressWarnings({"unchecked", "rawtypes"})
+ public static DataStreamList createIteration(
+ DataStreamList initVariableStreams,
+ DataStreamList dataStreams,
+ IterationBody body,
+ OperatorWrapper<?, IterationRecord<?>> initialOperatorWrapper,
+ boolean mayHaveCriteria) {
+ checkState(initVariableStreams.size() > 0, "There should be at least one variable stream");
+
+ IterationID iterationId = new IterationID();
+
+ List<TypeInformation<?>> initVariableTypeInfos = getTypeInfos(initVariableStreams);
+ List<TypeInformation<?>> dataStreamTypeInfos = getTypeInfos(dataStreams);
+
+ // Add heads and inputs
+ int totalInitVariableParallelism =
+ map(initVariableStreams, DataStream::getParallelism).stream()
+ .mapToInt(i -> i)
+ .sum();
+ DataStreamList initVariableInputs = addInputs(initVariableStreams, false);
+ DataStreamList headStreams =
+ addHeads(
+ initVariableStreams,
+ initVariableInputs,
+ iterationId,
+ totalInitVariableParallelism,
+ false,
+ 0);
+
+ DataStreamList dataStreamInputs = addInputs(dataStreams, true);
+
+ // Create the iteration body.
+ StreamExecutionEnvironment env = initVariableStreams.get(0).getExecutionEnvironment();
+ DraftExecutionEnvironment draftEnv =
+ new DraftExecutionEnvironment(env, initialOperatorWrapper);
+ DataStreamList draftHeadStreams =
+ addDraftSources(headStreams, draftEnv, initVariableTypeInfos);
+ DataStreamList draftDataStreamInputs =
+ addDraftSources(dataStreamInputs, draftEnv, dataStreamTypeInfos);
+
+ IterationBodyResult iterationBodyResult =
+ body.process(draftHeadStreams, draftDataStreamInputs);
+ ensuresTransformationAdded(iterationBodyResult.getFeedbackVariableStreams(), draftEnv);
+ ensuresTransformationAdded(iterationBodyResult.getOutputStreams(), draftEnv);
+ draftEnv.copyToActualEnvironment();
+
+ // Add tails and co-locate them with the heads.
+ DataStreamList feedbackStreams =
+ getActualDataStreams(iterationBodyResult.getFeedbackVariableStreams(), draftEnv);
+ checkState(
+ feedbackStreams.size() == initVariableStreams.size(),
+ "The number of feedback streams "
+ + feedbackStreams.size()
+ + " does not match the initialized one "
+ + initVariableStreams.size());
+ DataStreamList tails = addTails(feedbackStreams, iterationId, 0);
+ for (int i = 0; i < headStreams.size(); ++i) {
+ String coLocationGroupKey = "co-" + iterationId.toHexString() + "-" + i;
+ headStreams.get(i).getTransformation().setCoLocationGroupKey(coLocationGroupKey);
+ tails.get(i).getTransformation().setCoLocationGroupKey(coLocationGroupKey);
+ }
+
+ checkState(
+ mayHaveCriteria || iterationBodyResult.getTerminationCriteria() == null,
+ "The current iteration type does not support the termination criteria.");
+
+ // TODO: will consider the termination criteria in the next.
+
+ return addOutputs(getActualDataStreams(iterationBodyResult.getOutputStreams(), draftEnv));
+ }
+
+ private static List<TypeInformation<?>> getTypeInfos(DataStreamList dataStreams) {
+ return map(dataStreams, DataStream::getType);
+ }
+
+ private static DataStreamList addInputs(
+ DataStreamList dataStreams, boolean insertMaxEpochWatermark) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ dataStream ->
+ dataStream
+ .transform(
+ "input-" + dataStream.getTransformation().getName(),
+ new IterationRecordTypeInfo<>(dataStream.getType()),
+ new InputOperator(insertMaxEpochWatermark))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addHeads(
+ DataStreamList variableStreams,
+ DataStreamList inputStreams,
+ IterationID iterationId,
+ int totalInitVariableParallelism,
+ boolean isCriteriaStream,
+ int startHeaderIndex) {
+
+ return new DataStreamList(
+ map(
+ inputStreams,
+ (index, dataStream) ->
+ ((SingleOutputStreamOperator<IterationRecord<?>>) dataStream)
+ .transform(
+ "head-"
+ + variableStreams
+ .get(index)
+ .getTransformation()
+ .getName(),
+ (IterationRecordTypeInfo) dataStream.getType(),
+ new HeadOperatorFactory(
+ iterationId,
+ startHeaderIndex + index,
+ isCriteriaStream,
+ totalInitVariableParallelism))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addTails(
+ DataStreamList dataStreams, IterationID iterationId, int startIndex) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) ->
+ ((DataStream<IterationRecord<?>>) dataStream)
+ .transform(
+ "tail-" + dataStream.getTransformation().getName(),
+ new IterationRecordTypeInfo(dataStream.getType()),
+ new TailOperator(iterationId, startIndex + index))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addOutputs(DataStreamList dataStreams) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) -> {
+ IterationRecordTypeInfo<?> inputType =
+ (IterationRecordTypeInfo<?>) dataStream.getType();
+ return dataStream
+ .transform(
+ "output-" + dataStream.getTransformation().getName(),
+ inputType.getInnerTypeInfo(),
+ new OutputOperator())
+ .setParallelism(dataStream.getParallelism());
+ }));
+ }
+
+ private static DataStreamList addDraftSources(
+ DataStreamList dataStreams,
+ DraftExecutionEnvironment draftEnv,
+ List<TypeInformation<?>> typeInfos) {
+
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) ->
+ draftEnv.addDraftSource(dataStream, typeInfos.get(index))));
+ }
+
+ private static void ensuresTransformationAdded(
+ DataStreamList dataStreams, DraftExecutionEnvironment draftEnv) {
+ map(
Review comment:
Maybe we could use the `foreach` if we do not expect any return value?
##########
File path: flink-ml-iteration/src/main/java/org/apache/flink/iteration/IterationFactory.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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
+ *
+ * http://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.
+ */
+
+package org.apache.flink.iteration;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.iteration.compile.DraftExecutionEnvironment;
+import org.apache.flink.iteration.operator.HeadOperatorFactory;
+import org.apache.flink.iteration.operator.InputOperator;
+import org.apache.flink.iteration.operator.OperatorWrapper;
+import org.apache.flink.iteration.operator.OutputOperator;
+import org.apache.flink.iteration.operator.TailOperator;
+import org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.transformations.OneInputTransformation;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+
+import static org.apache.flink.util.Preconditions.checkState;
+
+/** Creates iteration in a job. */
+@Internal
+public class IterationFactory {
+
+ @SuppressWarnings({"unchecked", "rawtypes"})
+ public static DataStreamList createIteration(
+ DataStreamList initVariableStreams,
+ DataStreamList dataStreams,
+ IterationBody body,
+ OperatorWrapper<?, IterationRecord<?>> initialOperatorWrapper,
+ boolean mayHaveCriteria) {
+ checkState(initVariableStreams.size() > 0, "There should be at least one variable stream");
+
+ IterationID iterationId = new IterationID();
+
+ List<TypeInformation<?>> initVariableTypeInfos = getTypeInfos(initVariableStreams);
+ List<TypeInformation<?>> dataStreamTypeInfos = getTypeInfos(dataStreams);
+
+ // Add heads and inputs
+ int totalInitVariableParallelism =
+ map(initVariableStreams, DataStream::getParallelism).stream()
+ .mapToInt(i -> i)
+ .sum();
+ DataStreamList initVariableInputs = addInputs(initVariableStreams, false);
+ DataStreamList headStreams =
+ addHeads(
+ initVariableStreams,
+ initVariableInputs,
+ iterationId,
+ totalInitVariableParallelism,
+ false,
+ 0);
+
+ DataStreamList dataStreamInputs = addInputs(dataStreams, true);
+
+ // Create the iteration body.
+ StreamExecutionEnvironment env = initVariableStreams.get(0).getExecutionEnvironment();
+ DraftExecutionEnvironment draftEnv =
+ new DraftExecutionEnvironment(env, initialOperatorWrapper);
+ DataStreamList draftHeadStreams =
+ addDraftSources(headStreams, draftEnv, initVariableTypeInfos);
+ DataStreamList draftDataStreamInputs =
+ addDraftSources(dataStreamInputs, draftEnv, dataStreamTypeInfos);
+
+ IterationBodyResult iterationBodyResult =
+ body.process(draftHeadStreams, draftDataStreamInputs);
+ ensuresTransformationAdded(iterationBodyResult.getFeedbackVariableStreams(), draftEnv);
+ ensuresTransformationAdded(iterationBodyResult.getOutputStreams(), draftEnv);
+ draftEnv.copyToActualEnvironment();
+
+ // Add tails and co-locate them with the heads.
+ DataStreamList feedbackStreams =
+ getActualDataStreams(iterationBodyResult.getFeedbackVariableStreams(), draftEnv);
+ checkState(
+ feedbackStreams.size() == initVariableStreams.size(),
+ "The number of feedback streams "
+ + feedbackStreams.size()
+ + " does not match the initialized one "
+ + initVariableStreams.size());
+ DataStreamList tails = addTails(feedbackStreams, iterationId, 0);
+ for (int i = 0; i < headStreams.size(); ++i) {
+ String coLocationGroupKey = "co-" + iterationId.toHexString() + "-" + i;
+ headStreams.get(i).getTransformation().setCoLocationGroupKey(coLocationGroupKey);
+ tails.get(i).getTransformation().setCoLocationGroupKey(coLocationGroupKey);
+ }
+
+ checkState(
+ mayHaveCriteria || iterationBodyResult.getTerminationCriteria() == null,
+ "The current iteration type does not support the termination criteria.");
+
+ // TODO: will consider the termination criteria in the next.
+
+ return addOutputs(getActualDataStreams(iterationBodyResult.getOutputStreams(), draftEnv));
+ }
+
+ private static List<TypeInformation<?>> getTypeInfos(DataStreamList dataStreams) {
+ return map(dataStreams, DataStream::getType);
+ }
+
+ private static DataStreamList addInputs(
+ DataStreamList dataStreams, boolean insertMaxEpochWatermark) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ dataStream ->
+ dataStream
+ .transform(
+ "input-" + dataStream.getTransformation().getName(),
+ new IterationRecordTypeInfo<>(dataStream.getType()),
+ new InputOperator(insertMaxEpochWatermark))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addHeads(
+ DataStreamList variableStreams,
+ DataStreamList inputStreams,
+ IterationID iterationId,
+ int totalInitVariableParallelism,
+ boolean isCriteriaStream,
+ int startHeaderIndex) {
+
+ return new DataStreamList(
+ map(
+ inputStreams,
+ (index, dataStream) ->
+ ((SingleOutputStreamOperator<IterationRecord<?>>) dataStream)
+ .transform(
+ "head-"
+ + variableStreams
+ .get(index)
+ .getTransformation()
+ .getName(),
+ (IterationRecordTypeInfo) dataStream.getType(),
+ new HeadOperatorFactory(
+ iterationId,
+ startHeaderIndex + index,
+ isCriteriaStream,
+ totalInitVariableParallelism))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addTails(
+ DataStreamList dataStreams, IterationID iterationId, int startIndex) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) ->
+ ((DataStream<IterationRecord<?>>) dataStream)
+ .transform(
+ "tail-" + dataStream.getTransformation().getName(),
+ new IterationRecordTypeInfo(dataStream.getType()),
+ new TailOperator(iterationId, startIndex + index))
+ .setParallelism(dataStream.getParallelism())));
+ }
+
+ private static DataStreamList addOutputs(DataStreamList dataStreams) {
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) -> {
+ IterationRecordTypeInfo<?> inputType =
+ (IterationRecordTypeInfo<?>) dataStream.getType();
+ return dataStream
+ .transform(
+ "output-" + dataStream.getTransformation().getName(),
+ inputType.getInnerTypeInfo(),
+ new OutputOperator())
+ .setParallelism(dataStream.getParallelism());
+ }));
+ }
+
+ private static DataStreamList addDraftSources(
+ DataStreamList dataStreams,
+ DraftExecutionEnvironment draftEnv,
+ List<TypeInformation<?>> typeInfos) {
+
+ return new DataStreamList(
+ map(
+ dataStreams,
+ (index, dataStream) ->
+ draftEnv.addDraftSource(dataStream, typeInfos.get(index))));
+ }
+
+ private static void ensuresTransformationAdded(
+ DataStreamList dataStreams, DraftExecutionEnvironment draftEnv) {
+ map(
+ dataStreams,
+ dataStream -> {
+ draftEnv.addOperatorIfNotExists(dataStream.getTransformation());
+ return null;
+ });
+ }
+
+ private static void setCriteriaParallelism(
+ DataStreamList headStreams, int criteriaParallelism) {
+ map(
Review comment:
same as above
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