[Nemo-472] Implement Runtime Components of Hierarchical Aggregation

common/src/main/java/org/apache/nemo/common/ir/IRDAG.java

@@ -35,6 +35,7 @@
 import org.apache.nemo.common.ir.executionproperty.ResourceSpecification;
 import org.apache.nemo.common.ir.vertex.IRVertex;
 import org.apache.nemo.common.ir.vertex.LoopVertex;
+import org.apache.nemo.common.ir.vertex.OperatorVertex;
 import org.apache.nemo.common.ir.vertex.SourceVertex;
 import org.apache.nemo.common.ir.vertex.executionproperty.MessageIdVertexProperty;
 import org.apache.nemo.common.ir.vertex.executionproperty.ParallelismProperty;
@@ -799,6 +800,39 @@ public void insert(final TaskSizeSplitterVertex toInsert) {
     modifiedDAG = builder.build();
   }
 
+  public void insert(final OperatorVertex accumulatorVertex, final IREdge targetEdge) {
+    // Create a completely new DAG with the vertex inserted.
+    final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>();
+
+    builder.addVertex(accumulatorVertex);
+    modifiedDAG.topologicalDo(v -> {
+      builder.addVertex(v);
+
+      modifiedDAG.getIncomingEdgesOf(v).forEach(e -> {
+        if (e == targetEdge) {
+          // Edge to the accumulatorVertex
+          final IREdge toAV = new IREdge(CommunicationPatternProperty.Value.PARTIAL_SHUFFLE,
+            e.getSrc(), accumulatorVertex);
+          e.copyExecutionPropertiesTo(toAV);
+          toAV.setProperty(CommunicationPatternProperty.of(CommunicationPatternProperty.Value.PARTIAL_SHUFFLE));
+
+          // Edge from the accumulatorVertex
+          final IREdge fromAV = new IREdge(CommunicationPatternProperty.Value.SHUFFLE, accumulatorVertex, e.getDst());
+          e.copyExecutionPropertiesTo(fromAV);
+
+          // Connect the new edges
+          builder.connectVertices(toAV);
+          builder.connectVertices(fromAV);
+        } else {
+          // Simply connect vertices as before
+          builder.connectVertices(e);
+        }
+      });
+    });
+
+    modifiedDAG = builder.build();
+  }
+
   /**
    * Reshape unsafely, without guarantees on preserving application semantics.
    * TODO #330: Refactor Unsafe Reshaping Passes

common/src/main/java/org/apache/nemo/common/ir/IRDAGChecker.java

@@ -79,6 +79,7 @@ private IRDAGChecker() {
     addLoopVertexCheckers();
     addScheduleGroupCheckers();
     addCacheCheckers();
+    addIntermediateAccumulatorVertexCheckers();
   }
 
   /**
@@ -284,23 +285,25 @@ void addShuffleEdgeCheckers() {
     final NeighborChecker shuffleChecker = ((v, inEdges, outEdges) -> {
       for (final IREdge inEdge : inEdges) {
         if (CommunicationPatternProperty.Value.SHUFFLE
+          .equals(inEdge.getPropertyValue(CommunicationPatternProperty.class).get())
+          || CommunicationPatternProperty.Value.PARTIAL_SHUFFLE
           .equals(inEdge.getPropertyValue(CommunicationPatternProperty.class).get())) {
           // Shuffle edges must have the following properties
           if (!inEdge.getPropertyValue(KeyExtractorProperty.class).isPresent()
             || !inEdge.getPropertyValue(KeyEncoderProperty.class).isPresent()
             || !inEdge.getPropertyValue(KeyDecoderProperty.class).isPresent()) {
-            return failure("Shuffle edge does not have a Key-related property: " + inEdge.getId());
+            return failure("(Partial)Shuffle edge does not have a Key-related property: " + inEdge.getId());
           }
         } else {
           // Non-shuffle edges must not have the following properties
           final Optional<Pair<PartitionerProperty.Type, Integer>> partitioner =
             inEdge.getPropertyValue(PartitionerProperty.class);
           if (partitioner.isPresent() && partitioner.get().left().equals(PartitionerProperty.Type.HASH)) {
-            return failure("Only shuffle can have the hash partitioner",
+            return failure("Only (partial)shuffle can have the hash partitioner",
               inEdge, CommunicationPatternProperty.class, PartitionerProperty.class);
           }
           if (inEdge.getPropertyValue(PartitionSetProperty.class).isPresent()) {
-            return failure("Only shuffle can select partition sets",
+            return failure("Only (partial)shuffle can select partition sets",
               inEdge, CommunicationPatternProperty.class, PartitionSetProperty.class);
           }
         }
@@ -486,6 +489,28 @@ void addEncodingCompressionCheckers() {
     singleEdgeCheckerList.add(compressAndDecompress);
   }
 
+  void addIntermediateAccumulatorVertexCheckers() {
+    final NeighborChecker shuffleExecutorSet = ((v, inEdges, outEdges) -> {
+      if (v.getPropertyValue(ShuffleExecutorSetProperty.class).isPresent()) {
+        if (inEdges.size() != 1 || outEdges.size() != 1 || inEdges.stream().anyMatch(e ->
+          !e.getPropertyValue(CommunicationPatternProperty.class).get()
+            .equals(CommunicationPatternProperty.Value.PARTIAL_SHUFFLE))) {
+          return failure("Only intermediate accumulator vertex can have shuffle executor set property", v);
+        } else if (v.getPropertyValue(ParallelismProperty.class).get()
+          < v.getPropertyValue(ShuffleExecutorSetProperty.class).get().size()) {
+          return failure("Parallelism must be greater or equal to the number of shuffle executor set", v);
+        }
+      } else {
+        if (inEdges.stream().anyMatch(e -> e.getPropertyValue(CommunicationPatternProperty.class).get()
+          .equals(CommunicationPatternProperty.Value.PARTIAL_SHUFFLE))) {
+          return failure("Intermediate accumulator vertex must have shuffle executor set property", v);
+        }
+      }
+      return success();
+    });
+    neighborCheckerList.add(shuffleExecutorSet);
+  }
+
   /**
    * Group outgoing edges by the additional output tag property.
    * @param outEdges the outedges to group.

common/src/main/java/org/apache/nemo/common/ir/edge/executionproperty/CommunicationPatternProperty.java

@@ -52,6 +52,7 @@ public static CommunicationPatternProperty of(final Value value) {
   public enum Value {
     ONE_TO_ONE,
     BROADCAST,
-    SHUFFLE
+    SHUFFLE,
+    PARTIAL_SHUFFLE
   }
 }

common/src/main/java/org/apache/nemo/common/ir/executionproperty/ExecutionPropertyMap.java

@@ -73,6 +73,7 @@ public static ExecutionPropertyMap<EdgeExecutionProperty> of(
     map.put(EncoderProperty.of(EncoderFactory.DUMMY_ENCODER_FACTORY));
     map.put(DecoderProperty.of(DecoderFactory.DUMMY_DECODER_FACTORY));
     switch (commPattern) {
+      case PARTIAL_SHUFFLE:
       case SHUFFLE:
         map.put(DataFlowProperty.of(DataFlowProperty.Value.PULL));
         map.put(PartitionerProperty.of(PartitionerProperty.Type.HASH));

common/src/main/java/org/apache/nemo/common/ir/vertex/executionproperty/ShuffleExecutorSetProperty.java

@@ -0,0 +1,50 @@
+/*
+ * 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.nemo.common.ir.vertex.executionproperty;
+
+import org.apache.nemo.common.ir.executionproperty.VertexExecutionProperty;
+
+import java.util.ArrayList;
+import java.util.HashSet;
+
+/**
+ * List of set of node names to limit the scheduling of the tasks of the vertex to while shuffling.
+ */
+public final class ShuffleExecutorSetProperty extends VertexExecutionProperty<ArrayList<HashSet<String>>> {
+
+  /**
+   * Default constructor.
+   * @param value value of the execution property.
+   */
+  private ShuffleExecutorSetProperty(final ArrayList<HashSet<String>> value) {
+    super(value);
+  }
+
+  /**
+   * Static method for constructing {@link ShuffleExecutorSetProperty}.
+   *
+   * @param setsOfExecutors the list of executors to schedule the tasks of the vertex on.
+   *                        Leave empty to make it effectless.
+   * @return the new execution property
+   */
+  public static ShuffleExecutorSetProperty of(final HashSet<HashSet<String>> setsOfExecutors) {
+    return new ShuffleExecutorSetProperty(new ArrayList<>(setsOfExecutors));
+  }
+}

common/src/main/java/org/apache/nemo/common/ir/vertex/executionproperty/TaskIndexToExecutorIDProperty.java

@@ -0,0 +1,51 @@
+/*
+ * 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.nemo.common.ir.vertex.executionproperty;
+
+import org.apache.nemo.common.Pair;
+import org.apache.nemo.common.ir.executionproperty.VertexExecutionProperty;
+
+import java.util.HashMap;
+import java.util.List;
+
+/**
+ * Keep track of where the tasks are located by its executor ID.
+ */
+public final class TaskIndexToExecutorIDProperty
+  extends VertexExecutionProperty<HashMap<Integer, List<Pair<String, String>>>> {
+  /**
+   * Default constructor.
+   * @param taskIDToExecutorIDsMap value of the execution property.
+   */
+  private TaskIndexToExecutorIDProperty(final HashMap<Integer, List<Pair<String, String>>> taskIDToExecutorIDsMap) {
+    super(taskIDToExecutorIDsMap);
+  }
+
+  /**
+   * Static method for constructing {@link TaskIndexToExecutorIDProperty}.
+   *
+   * @param taskIndexToExecutorIDsMap the map indicating the executor IDs where the tasks are located on.
+   * @return the new execution property
+   */
+  public static TaskIndexToExecutorIDProperty of(
+    final HashMap<Integer, List<Pair<String, String>>> taskIndexToExecutorIDsMap) {
+    return new TaskIndexToExecutorIDProperty(taskIndexToExecutorIDsMap);
+  }
+}

common/src/main/java/org/apache/nemo/common/partitioner/HashPartitioner.java

@@ -45,4 +45,8 @@ public HashPartitioner(final int numOfPartitions,
   public Integer partition(final Object element) {
     return Math.abs(keyExtractor.extractKey(element).hashCode() % numOfPartitions);
   }
+
+  public Integer partition(final Object element, final int numOfSubPartitions) {
+    return Math.abs(keyExtractor.extractKey(element).hashCode() % numOfSubPartitions);
+  }
 }

common/src/test/java/org/apache/nemo/common/ir/IRDAGTest.java

@@ -327,6 +327,15 @@ public void testSplitterVertex() {
     mustPass();
   }
 
+  @Test
+  public void testAccumulatorVertex() {
+    final OperatorVertex cv = new OperatorVertex(new EmptyComponents.EmptyTransform("iav"));
+    cv.setProperty(ShuffleExecutorSetProperty.of(new HashSet<>()));
+    cv.setProperty(ParallelismProperty.of(5));
+    irdag.insert(cv, shuffleEdge);
+    mustPass();
+  }
+
   private MessageAggregatorVertex insertNewTriggerVertex(final IRDAG dag, final IREdge edgeToGetStatisticsOf) {
     final MessageGeneratorVertex mb = new MessageGeneratorVertex<>((l, r) -> null);
     final MessageAggregatorVertex ma = new MessageAggregatorVertex<>(() -> new Object(), (l, r) -> null);

compiler/frontend/beam/src/main/java/org/apache/nemo/compiler/frontend/beam/PipelineTranslationContext.java

@@ -277,7 +277,7 @@ private CommunicationPatternProperty.Value getCommPattern(final IRVertex src, fi
     }
     // If GBKTransform represents a partial CombinePerKey transformation, we do NOT need to shuffle its input,
     // since its output will be shuffled before going through a final CombinePerKey transformation.
-    if ((dstTransform instanceof GBKTransform && !((GBKTransform) dstTransform).getIsPartialCombining())
+    if ((dstTransform instanceof CombineTransform && !((CombineTransform) dstTransform).getIsPartialCombining())
       || dstTransform instanceof GroupByKeyTransform) {
       return CommunicationPatternProperty.Value.SHUFFLE;
     }

compiler/frontend/beam/src/main/java/org/apache/nemo/compiler/frontend/beam/PipelineTranslator.java

@@ -358,10 +358,12 @@ private static Pipeline.PipelineVisitor.CompositeBehavior combinePerKeyTranslato
     }
 
     final CombineFnBase.GlobalCombineFn combineFn = perKey.getFn();
+    final AppliedPTransform pTransform = beamNode.toAppliedPTransform(ctx.getPipeline());
+
     final PCollection<?> mainInput = (PCollection<?>) Iterables.getOnlyElement(
-      TransformInputs.nonAdditionalInputs(beamNode.toAppliedPTransform(ctx.getPipeline())));
+      TransformInputs.nonAdditionalInputs(pTransform));
     final PCollection inputs = (PCollection) Iterables.getOnlyElement(
-      TransformInputs.nonAdditionalInputs(beamNode.toAppliedPTransform(ctx.getPipeline())));
+      TransformInputs.nonAdditionalInputs(pTransform));
     final KvCoder inputCoder = (KvCoder) inputs.getCoder();
     final Coder accumulatorCoder;
 
@@ -386,48 +388,52 @@ private static Pipeline.PipelineVisitor.CompositeBehavior combinePerKeyTranslato
       finalCombine = new OperatorVertex(new CombineFnFinalTransform<>(combineFn));
     } else {
       // Stream data processing, using GBKTransform
-      final AppliedPTransform pTransform = beamNode.toAppliedPTransform(ctx.getPipeline());
       final CombineFnBase.GlobalCombineFn partialCombineFn = new PartialCombineFn(
         (Combine.CombineFn) combineFn, accumulatorCoder);
+      final CombineFnBase.GlobalCombineFn intermediateCombineFn = new IntermediateCombineFn(
+        (Combine.CombineFn) combineFn, accumulatorCoder);
       final CombineFnBase.GlobalCombineFn finalCombineFn = new FinalCombineFn(
         (Combine.CombineFn) combineFn, accumulatorCoder);
+
       final SystemReduceFn partialSystemReduceFn =
         SystemReduceFn.combining(
           inputCoder.getKeyCoder(),
           AppliedCombineFn.withInputCoder(partialCombineFn,
-            ctx.getPipeline().getCoderRegistry(), inputCoder,
-            null,
-            mainInput.getWindowingStrategy()));
+            ctx.getPipeline().getCoderRegistry(),
+            inputCoder,
+            null, mainInput.getWindowingStrategy()));
+      final SystemReduceFn intermediateSystemReduceFn =
+        SystemReduceFn.combining(
+          inputCoder.getKeyCoder(),
+          AppliedCombineFn.withInputCoder(intermediateCombineFn,
+            ctx.getPipeline().getCoderRegistry(),
+            KvCoder.of(inputCoder.getKeyCoder(), accumulatorCoder),
+            null, mainInput.getWindowingStrategy()));
       final SystemReduceFn finalSystemReduceFn =
         SystemReduceFn.combining(
           inputCoder.getKeyCoder(),
           AppliedCombineFn.withInputCoder(finalCombineFn,
             ctx.getPipeline().getCoderRegistry(),
-            KvCoder.of(inputCoder.getKeyCoder(),
-              accumulatorCoder),
+            KvCoder.of(inputCoder.getKeyCoder(), accumulatorCoder),
             null, mainInput.getWindowingStrategy()));
       final TupleTag<?> partialMainOutputTag = new TupleTag<>();
-      final GBKTransform partialCombineStreamTransform =
-        new GBKTransform(inputCoder,
-          Collections.singletonMap(partialMainOutputTag, KvCoder.of(inputCoder.getKeyCoder(), accumulatorCoder)),
-          partialMainOutputTag,
-          mainInput.getWindowingStrategy(),
-          ctx.getPipelineOptions(),
-          partialSystemReduceFn,
-          DoFnSchemaInformation.create(),
-          DisplayData.from(beamNode.getTransform()),
-          true);
 
-      final GBKTransform finalCombineStreamTransform =
-        new GBKTransform(KvCoder.of(inputCoder.getKeyCoder(), accumulatorCoder),
+      final CombineTransformFactory combineTransformFactory =
+        new CombineTransformFactory(inputCoder,
+          partialMainOutputTag,
+          KvCoder.of(inputCoder.getKeyCoder(), accumulatorCoder),
           getOutputCoders(pTransform),
           Iterables.getOnlyElement(beamNode.getOutputs().keySet()),
           mainInput.getWindowingStrategy(),
           ctx.getPipelineOptions(),
+          partialSystemReduceFn,
+          intermediateSystemReduceFn,
           finalSystemReduceFn,
           DoFnSchemaInformation.create(),
-          DisplayData.from(beamNode.getTransform()),
-          false);
+          DisplayData.from(beamNode.getTransform()));
+
+      final CombineTransform partialCombineStreamTransform = combineTransformFactory.getPartialCombineTransform();
+      final CombineTransform finalCombineStreamTransform = combineTransformFactory.getFinalCombineTransform();
 
       partialCombine = new OperatorVertex(partialCombineStreamTransform);
       finalCombine = new OperatorVertex(finalCombineStreamTransform);
@@ -564,7 +570,7 @@ private static Transform createGBKTransform(
       return new GroupByKeyTransform();
     } else {
       // GroupByKey Transform when using a non-global windowing strategy.
-      return new GBKTransform<>(
+      return new CombineTransform<>(
         (KvCoder) mainInput.getCoder(),
         getOutputCoders(pTransform),
         mainOutputTag,