Thesharing commented on a change in pull request #14868:
URL: https://github.com/apache/flink/pull/14868#discussion_r581001291
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/IntermediateResultPartition.java
##########
@@ -32,25 +32,24 @@
private final IntermediateResultPartitionID partitionId;
- private List<List<ExecutionEdge>> consumers;
-
/** Whether this partition has produced some data. */
private boolean hasDataProduced = false;
public IntermediateResultPartition(
IntermediateResult totalResult, ExecutionVertex producer, int
partitionNumber) {
this.totalResult = totalResult;
this.producer = producer;
- this.consumers = new ArrayList<List<ExecutionEdge>>(0);
this.partitionId = new
IntermediateResultPartitionID(totalResult.getId(), partitionNumber);
+
+ producer.getExecutionGraph().registerResultPartition(partitionId,
this);
}
public ExecutionVertex getProducer() {
return producer;
}
public int getPartitionNumber() {
- return partitionId.getPartitionNum();
+ return partitionId.getPartitionNumber();
Review comment:
Yes, I'll rearrange it once the PR is ready.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/EdgeManagerBuildUtil.java
##########
@@ -0,0 +1,161 @@
+/*
+ * 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.runtime.executiongraph;
+
+import org.apache.flink.runtime.jobgraph.DistributionPattern;
+import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
+import org.apache.flink.runtime.scheduler.strategy.ConsumedPartitionGroup;
+import org.apache.flink.runtime.scheduler.strategy.ConsumerVertexGroup;
+import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/** Utilities for building {@link EdgeManager}. */
+public class EdgeManagerBuildUtil {
+
+ public static void connectVertexToResult(
+ ExecutionVertex[] taskVertices,
+ IntermediateResult ires,
+ int inputNumber,
+ DistributionPattern distributionPattern) {
+
+ switch (distributionPattern) {
+ case POINTWISE:
+ connectPointwise(taskVertices, ires, inputNumber);
+ break;
+ case ALL_TO_ALL:
+ connectAllToAll(taskVertices, ires, inputNumber);
+ break;
+ default:
+ throw new RuntimeException("Unrecognized distribution
pattern.");
+ }
+ }
+
+ private static void connectAllToAll(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ ConsumedPartitionGroup consumedPartitions =
+ new ConsumedPartitionGroup(
+ Arrays.stream(ires.getPartitions())
+
.map(IntermediateResultPartition::getPartitionId)
+ .collect(Collectors.toList()));
+ for (ExecutionVertex ev : taskVertices) {
+ ev.addConsumedPartitions(consumedPartitions, inputNumber);
+ }
+
+ ConsumerVertexGroup vertices =
+ new ConsumerVertexGroup(
+ Arrays.stream(taskVertices)
+ .map(ExecutionVertex::getID)
+ .collect(Collectors.toList()));
+ for (IntermediateResultPartition partition : ires.getPartitions()) {
+ partition.addConsumers(vertices);
+ }
+ }
+
+ private static void connectPointwise(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ final int sourceCount = ires.getPartitions().length;
+ final int targetCount = taskVertices.length;
+
+ if (sourceCount == targetCount) {
+ for (int i = 0; i < sourceCount; i++) {
+ ExecutionVertex executionVertex = taskVertices[i];
+ IntermediateResultPartition partition =
ires.getPartitions()[i];
+
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+ partition.addConsumers(consumerVertexGroup);
+
+ ConsumedPartitionGroup consumedPartitionGroup =
+ new ConsumedPartitionGroup(partition.getPartitionId());
+ executionVertex.addConsumedPartitions(consumedPartitionGroup,
inputNumber);
+ }
+ } else if (sourceCount > targetCount) {
+ for (int index = 0; index < targetCount; index++) {
+
+ ExecutionVertex executionVertex = taskVertices[index];
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+
+ int start = index * sourceCount / targetCount;
+ int end = (index + 1) * sourceCount / targetCount;
+
+ List<IntermediateResultPartitionID> consumedPartitions =
+ new ArrayList<>(end - start);
+
+ for (int i = start; i < end; i++) {
+ IntermediateResultPartition partition =
ires.getPartitions()[i];
+ partition.addConsumers(consumerVertexGroup);
+
+ consumedPartitions.add(partition.getPartitionId());
+ }
+
+ ConsumedPartitionGroup consumedPartitionGroup =
+ new ConsumedPartitionGroup(consumedPartitions);
+ executionVertex.addConsumedPartitions(consumedPartitionGroup,
inputNumber);
+ }
+ } else {
+ for (int partitionNum = 0; partitionNum < sourceCount;
partitionNum++) {
+
+ IntermediateResultPartition partition =
ires.getPartitions()[partitionNum];
+ ConsumedPartitionGroup consumerPartitionGroup =
+ new ConsumedPartitionGroup(partition.getPartitionId());
+
+ List<ExecutionVertexID> consumers = new
ArrayList<>(targetCount / sourceCount + 1);
+
+ if (targetCount % sourceCount == 0) {
+ int factor = targetCount / sourceCount;
Review comment:
Here, could we simplify the logic like this:
```java
int start = partitionNum * targetCount / sourceCount;
int end = (partitionNum + 1) * targetCount / sourceCount;
List<ExecutionVertexID> consumers = new ArrayList<>(end - start);
for (int i = start; i < end; i++) {
ExecutionVertex executionVertex = taskVertices[i];
executionVertex.addConsumedPartitions(consumerPartitionGroup,
inputNumber);
consumers.add(executionVertex.getID());
}
```
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/jobgraph/DistributionPattern.java
##########
@@ -18,29 +18,15 @@
package org.apache.flink.runtime.jobgraph;
-import org.apache.flink.runtime.executiongraph.ExecutionVertex;
-
/**
* A distribution pattern determines, which sub tasks of a producing task are
connected to which
* consuming sub tasks.
Review comment:
Added. I'm wondering would it be better to say "how ExecutionVertex and
IntermediateResultPartition is connected in {@link EdgeManagerBuildUtil}"?
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/EdgeManagerBuildUtil.java
##########
@@ -0,0 +1,174 @@
+/*
+ * 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.runtime.executiongraph;
+
+import org.apache.flink.runtime.jobgraph.DistributionPattern;
+import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
+import org.apache.flink.runtime.scheduler.strategy.ConsumedPartitionGroup;
+import org.apache.flink.runtime.scheduler.strategy.ConsumerVertexGroup;
+import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/** Utilities for building {@link EdgeManager}. */
+public class EdgeManagerBuildUtil {
+
+ public static void registerToExecutionEdgeManager(
+ ExecutionVertex[] taskVertices,
+ IntermediateResult ires,
+ int inputNumber,
+ DistributionPattern distributionPattern) {
+
+ switch (distributionPattern) {
+ case POINTWISE:
+ connectPointwise(taskVertices, ires, inputNumber);
+ break;
+ case ALL_TO_ALL:
+ connectAllToAll(taskVertices, ires, inputNumber);
+ break;
+ default:
+ throw new RuntimeException("Unrecognized distribution
pattern.");
+ }
+ }
+
+ private static void connectAllToAll(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ ConsumedPartitionGroup consumedPartitions =
+ new ConsumedPartitionGroup(
+ Arrays.stream(ires.getPartitions())
+
.map(IntermediateResultPartition::getPartitionId)
+ .collect(Collectors.toList()));
+ for (ExecutionVertex ev : taskVertices) {
+ ev.setConsumedPartitions(consumedPartitions, inputNumber);
+ }
+
+ ConsumerVertexGroup vertices =
+ new ConsumerVertexGroup(
+ Arrays.stream(taskVertices)
+ .map(ExecutionVertex::getID)
+ .collect(Collectors.toList()));
+ for (IntermediateResultPartition partition : ires.getPartitions()) {
+ partition.setConsumers(vertices);
+ }
+ }
+
+ private static void connectPointwise(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ final int sourceCount = ires.getPartitions().length;
+ final int targetCount = taskVertices.length;
+
+ if (sourceCount == targetCount) {
+ for (int i = 0; i < sourceCount; i++) {
+ ExecutionVertex executionVertex = taskVertices[i];
+ IntermediateResultPartition partition =
ires.getPartitions()[i];
+
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+ partition.setConsumers(consumerVertexGroup);
+
+ ConsumedPartitionGroup consumedPartitionGroup =
+ new ConsumedPartitionGroup(partition.getPartitionId());
+ executionVertex.setConsumedPartitions(consumedPartitionGroup,
inputNumber);
+ }
+ } else if (sourceCount > targetCount) {
+ for (int index = 0; index < targetCount; index++) {
+
+ ExecutionVertex executionVertex = taskVertices[index];
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+
+ List<IntermediateResultPartitionID> consumedPartitions =
+ new ArrayList<>(sourceCount / targetCount + 1);
+
+ if (sourceCount % targetCount == 0) {
Review comment:
I'm wondering could we replace the logic of `sourceCount < targetCount`
in this way?
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/strategy/ConsumerVertexGroup.java
##########
@@ -0,0 +1,39 @@
+/*
+ * 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.runtime.scheduler.strategy;
+
+import java.util.Collections;
+import java.util.List;
+
+/** Group of consumer {@link ExecutionVertexID}s. */
+public class ConsumerVertexGroup {
+ private final List<ExecutionVertexID> vertices;
+
+ public ConsumerVertexGroup(List<ExecutionVertexID> vertices) {
+ this.vertices = vertices;
+ }
+
+ public ConsumerVertexGroup(ExecutionVertexID vertex) {
+ this(Collections.singletonList(vertex));
+ }
+
+ public List<ExecutionVertexID> getVertices() {
+ return vertices;
Review comment:
Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/strategy/ConsumedPartitionGroup.java
##########
@@ -0,0 +1,41 @@
+/*
+ * 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.runtime.scheduler.strategy;
+
+import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
+
+import java.util.Collections;
+import java.util.List;
+
+/** Group of consumed {@link IntermediateResultPartitionID}s. */
+public class ConsumedPartitionGroup {
+ private final List<IntermediateResultPartitionID> resultPartitions;
+
+ public ConsumedPartitionGroup(List<IntermediateResultPartitionID>
resultPartitions) {
+ this.resultPartitions = resultPartitions;
+ }
+
+ public ConsumedPartitionGroup(IntermediateResultPartitionID
resultPartition) {
+ this(Collections.singletonList(resultPartition));
+ }
+
+ public List<IntermediateResultPartitionID> getResultPartitions() {
+ return resultPartitions;
Review comment:
Agreed. Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionVertex.java
##########
@@ -326,107 +328,11 @@ public ExecutionGraph getExecutionGraph() {
// Graph building
//
--------------------------------------------------------------------------------------------
- public void connectSource(
- int inputNumber, IntermediateResult source, JobEdge edge, int
consumerNumber) {
-
- final DistributionPattern pattern = edge.getDistributionPattern();
- final IntermediateResultPartition[] sourcePartitions =
source.getPartitions();
-
- ExecutionEdge[] edges;
-
- switch (pattern) {
- case POINTWISE:
- edges = connectPointwise(sourcePartitions, inputNumber);
- break;
-
- case ALL_TO_ALL:
- edges = connectAllToAll(sourcePartitions, inputNumber);
- break;
-
- default:
- throw new RuntimeException("Unrecognized distribution
pattern.");
- }
-
- inputEdges[inputNumber] = edges;
-
- // add the consumers to the source
- // for now (until the receiver initiated handshake is in place), we
need to register the
- // edges as the execution graph
- for (ExecutionEdge ee : edges) {
- ee.getSource().addConsumer(ee, consumerNumber);
- }
- }
-
- private ExecutionEdge[] connectAllToAll(
- IntermediateResultPartition[] sourcePartitions, int inputNumber) {
- ExecutionEdge[] edges = new ExecutionEdge[sourcePartitions.length];
-
- for (int i = 0; i < sourcePartitions.length; i++) {
- IntermediateResultPartition irp = sourcePartitions[i];
- edges[i] = new ExecutionEdge(irp, this, inputNumber);
- }
-
- return edges;
- }
-
- private ExecutionEdge[] connectPointwise(
- IntermediateResultPartition[] sourcePartitions, int inputNumber) {
- final int numSources = sourcePartitions.length;
- final int parallelism = getTotalNumberOfParallelSubtasks();
-
- // simple case same number of sources as targets
- if (numSources == parallelism) {
- return new ExecutionEdge[] {
- new ExecutionEdge(sourcePartitions[subTaskIndex], this,
inputNumber)
- };
- } else if (numSources < parallelism) {
-
- int sourcePartition;
-
- // check if the pattern is regular or irregular
- // we use int arithmetics for regular, and floating point with
rounding for irregular
- if (parallelism % numSources == 0) {
- // same number of targets per source
- int factor = parallelism / numSources;
- sourcePartition = subTaskIndex / factor;
- } else {
- // different number of targets per source
- float factor = ((float) parallelism) / numSources;
- sourcePartition = (int) (subTaskIndex / factor);
- }
-
- return new ExecutionEdge[] {
- new ExecutionEdge(sourcePartitions[sourcePartition], this,
inputNumber)
- };
- } else {
- if (numSources % parallelism == 0) {
- // same number of targets per source
- int factor = numSources / parallelism;
- int startIndex = subTaskIndex * factor;
-
- ExecutionEdge[] edges = new ExecutionEdge[factor];
- for (int i = 0; i < factor; i++) {
- edges[i] =
- new ExecutionEdge(sourcePartitions[startIndex +
i], this, inputNumber);
- }
- return edges;
- } else {
- float factor = ((float) numSources) / parallelism;
+ public void setConsumedPartitions(ConsumedPartitionGroup
consumedPartitions, int inputNum) {
Review comment:
Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java
##########
@@ -471,15 +475,15 @@ public void setInitialState(@Nullable
JobManagerTaskRestore taskRestore) {
});
}
- private static int getPartitionMaxParallelism(IntermediateResultPartition
partition) {
- final List<List<ExecutionEdge>> consumers = partition.getConsumers();
+ private static int getPartitionMaxParallelism(
Review comment:
I prefer using the `Function<>`, since there's no need to introduce the
entire `ExecutionGraph`. `ExecutionGraph#getIntermediateResultPartitionMapping`
and `ExecutionGraph#getExecutionVertexMapping` has been removed.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/EdgeManagerBuildUtil.java
##########
@@ -0,0 +1,174 @@
+/*
+ * 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.runtime.executiongraph;
+
+import org.apache.flink.runtime.jobgraph.DistributionPattern;
+import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
+import org.apache.flink.runtime.scheduler.strategy.ConsumedPartitionGroup;
+import org.apache.flink.runtime.scheduler.strategy.ConsumerVertexGroup;
+import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/** Utilities for building {@link EdgeManager}. */
+public class EdgeManagerBuildUtil {
+
+ public static void registerToExecutionEdgeManager(
Review comment:
Totally agreed. Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/IntermediateResultPartition.java
##########
@@ -90,21 +89,12 @@ void resetForNewExecution() {
hasDataProduced = false;
}
- int addConsumerGroup() {
- int pos = consumers.size();
-
- // NOTE: currently we support only one consumer per result!!!
- if (pos != 0) {
- throw new RuntimeException(
- "Currently, each intermediate result can only have one
consumer.");
- }
-
- consumers.add(new ArrayList<ExecutionEdge>());
- return pos;
+ public void setConsumers(ConsumerVertexGroup consumers) {
+
producer.getExecutionGraph().getEdgeManager().addPartitionConsumers(partitionId,
consumers);
}
- void addConsumer(ExecutionEdge edge, int consumerNumber) {
- consumers.get(consumerNumber).add(edge);
+ EdgeManager getEdgeManager() {
Review comment:
Yes, it should be private. Thanks for point this out.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/IntermediateResultPartition.java
##########
@@ -90,21 +89,12 @@ void resetForNewExecution() {
hasDataProduced = false;
}
- int addConsumerGroup() {
- int pos = consumers.size();
-
- // NOTE: currently we support only one consumer per result!!!
- if (pos != 0) {
- throw new RuntimeException(
- "Currently, each intermediate result can only have one
consumer.");
- }
-
- consumers.add(new ArrayList<ExecutionEdge>());
- return pos;
+ public void setConsumers(ConsumerVertexGroup consumers) {
Review comment:
Since there is `addConsumedPartitions` in `ExecutionVertex`, would it be
better to call this one `addConsumers`?
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java
##########
@@ -668,6 +678,37 @@ public int getTotalNumberOfVertices() {
};
}
+ public EdgeManager getEdgeManager() {
+ return edgeManager;
+ }
+
+ public void registerExecutionVertex(ExecutionVertexID id, ExecutionVertex
vertex) {
+ executionVerticesById.put(id, vertex);
+ }
+
+ public void registerResultPartition(
+ IntermediateResultPartitionID id, IntermediateResultPartition
partition) {
+
+ resultPartitionsById.put(id, partition);
+ }
+
+ public ExecutionVertex getVertex(ExecutionVertexID id) {
+ return executionVerticesById.get(id);
+ }
+
+ public IntermediateResultPartition getResultPartition(final
IntermediateResultPartitionID id) {
Review comment:
Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java
##########
@@ -710,7 +714,9 @@ else if (current == RUNNING || current == DEPLOYING) {
return releaseFuture;
}
- private void updatePartitionConsumers(final List<List<ExecutionEdge>>
allConsumers) {
+ private void updatePartitionConsumers(
Review comment:
Yes, sorry for the carelessness. 😂
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/IntermediateResultPartition.java
##########
@@ -90,21 +89,12 @@ void resetForNewExecution() {
hasDataProduced = false;
}
- int addConsumerGroup() {
- int pos = consumers.size();
-
- // NOTE: currently we support only one consumer per result!!!
- if (pos != 0) {
- throw new RuntimeException(
- "Currently, each intermediate result can only have one
consumer.");
- }
-
- consumers.add(new ArrayList<ExecutionEdge>());
- return pos;
+ public void setConsumers(ConsumerVertexGroup consumers) {
+
producer.getExecutionGraph().getEdgeManager().addPartitionConsumers(partitionId,
consumers);
Review comment:
Sorry for being careless. Done.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionGraph.java
##########
@@ -668,6 +678,37 @@ public int getTotalNumberOfVertices() {
};
}
+ public EdgeManager getEdgeManager() {
+ return edgeManager;
+ }
+
+ public void registerExecutionVertex(ExecutionVertexID id, ExecutionVertex
vertex) {
+ executionVerticesById.put(id, vertex);
+ }
+
+ public void registerResultPartition(
+ IntermediateResultPartitionID id, IntermediateResultPartition
partition) {
+
+ resultPartitionsById.put(id, partition);
+ }
+
+ public ExecutionVertex getVertex(ExecutionVertexID id) {
Review comment:
Agreed, I ignored the null value.
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/deployment/TaskDeploymentDescriptorFactory.java
##########
@@ -72,15 +76,17 @@ private TaskDeploymentDescriptorFactory(
JobID jobID,
boolean allowUnknownPartitions,
int subtaskIndex,
- ExecutionEdge[][] inputEdges) {
+ List<ConsumedPartitionGroup> consumedPartitions,
+ Map<IntermediateResultPartitionID, IntermediateResultPartition>
resultPartitionsById) {
this.executionId = executionId;
this.attemptNumber = attemptNumber;
this.serializedJobInformation = serializedJobInformation;
this.taskInfo = taskInfo;
this.jobID = jobID;
this.allowUnknownPartitions = allowUnknownPartitions;
this.subtaskIndex = subtaskIndex;
- this.inputEdges = inputEdges;
+ this.consumedPartitions = consumedPartitions;
Review comment:
I agree. The parameter list seems to be complicated. But we need to
create `List<List<IntermediateResultPartition>>` in
`TaskDeploymentDescriptorFactory#fromExecutionVertex`, it may introduce extra
space costs. Should we use a `Function<>` here?
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/EdgeManagerBuildUtil.java
##########
@@ -0,0 +1,174 @@
+/*
+ * 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.runtime.executiongraph;
+
+import org.apache.flink.runtime.jobgraph.DistributionPattern;
+import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
+import org.apache.flink.runtime.scheduler.strategy.ConsumedPartitionGroup;
+import org.apache.flink.runtime.scheduler.strategy.ConsumerVertexGroup;
+import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/** Utilities for building {@link EdgeManager}. */
+public class EdgeManagerBuildUtil {
+
+ public static void registerToExecutionEdgeManager(
+ ExecutionVertex[] taskVertices,
+ IntermediateResult ires,
+ int inputNumber,
+ DistributionPattern distributionPattern) {
+
+ switch (distributionPattern) {
+ case POINTWISE:
+ connectPointwise(taskVertices, ires, inputNumber);
+ break;
+ case ALL_TO_ALL:
+ connectAllToAll(taskVertices, ires, inputNumber);
+ break;
+ default:
+ throw new RuntimeException("Unrecognized distribution
pattern.");
+ }
+ }
+
+ private static void connectAllToAll(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ ConsumedPartitionGroup consumedPartitions =
+ new ConsumedPartitionGroup(
+ Arrays.stream(ires.getPartitions())
+
.map(IntermediateResultPartition::getPartitionId)
+ .collect(Collectors.toList()));
+ for (ExecutionVertex ev : taskVertices) {
+ ev.setConsumedPartitions(consumedPartitions, inputNumber);
+ }
+
+ ConsumerVertexGroup vertices =
+ new ConsumerVertexGroup(
+ Arrays.stream(taskVertices)
+ .map(ExecutionVertex::getID)
+ .collect(Collectors.toList()));
+ for (IntermediateResultPartition partition : ires.getPartitions()) {
+ partition.setConsumers(vertices);
+ }
+ }
+
+ private static void connectPointwise(
+ ExecutionVertex[] taskVertices, IntermediateResult ires, int
inputNumber) {
+
+ final int sourceCount = ires.getPartitions().length;
+ final int targetCount = taskVertices.length;
+
+ if (sourceCount == targetCount) {
+ for (int i = 0; i < sourceCount; i++) {
+ ExecutionVertex executionVertex = taskVertices[i];
+ IntermediateResultPartition partition =
ires.getPartitions()[i];
+
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+ partition.setConsumers(consumerVertexGroup);
+
+ ConsumedPartitionGroup consumedPartitionGroup =
+ new ConsumedPartitionGroup(partition.getPartitionId());
+ executionVertex.setConsumedPartitions(consumedPartitionGroup,
inputNumber);
+ }
+ } else if (sourceCount > targetCount) {
+ for (int index = 0; index < targetCount; index++) {
+
+ ExecutionVertex executionVertex = taskVertices[index];
+ ConsumerVertexGroup consumerVertexGroup =
+ new ConsumerVertexGroup(executionVertex.getID());
+
+ List<IntermediateResultPartitionID> consumedPartitions =
+ new ArrayList<>(sourceCount / targetCount + 1);
+
+ if (sourceCount % targetCount == 0) {
Review comment:
Thank you for providing a better solution. I've replaced this part and
validate several common cases.
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