GJL commented on a change in pull request #8309: [FLINK-12229] [runtime] 
Implement LazyFromSourcesScheduling Strategy
URL: https://github.com/apache/flink/pull/8309#discussion_r285502269
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/strategy/LazyFromSourcesSchedulingStrategy.java
 ##########
 @@ -0,0 +1,197 @@
+/*
+ * 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.execution.ExecutionState;
+import org.apache.flink.runtime.io.network.partition.ResultPartitionID;
+import org.apache.flink.runtime.jobgraph.JobGraph;
+import org.apache.flink.runtime.scheduler.DeploymentOption;
+import org.apache.flink.runtime.scheduler.ExecutionVertexDeploymentOption;
+import org.apache.flink.runtime.scheduler.SchedulerOperations;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * {@link SchedulingStrategy} instance for batch job which schedule vertices 
when input data are ready.
+ */
+public class LazyFromSourcesSchedulingStrategy implements SchedulingStrategy {
+
+       private final SchedulerOperations schedulerOperations;
+
+       private final SchedulingTopology schedulingTopology;
+
+       private final Map<ExecutionVertexID, DeploymentOption> 
deploymentOptions;
+
+       private final InputDependencyConstraintChecker inputConstraintChecker;
+
+       public LazyFromSourcesSchedulingStrategy(
+                       SchedulerOperations schedulerOperations,
+                       SchedulingTopology schedulingTopology) {
+               this.schedulerOperations = checkNotNull(schedulerOperations);
+               this.schedulingTopology = checkNotNull(schedulingTopology);
+               this.deploymentOptions = new HashMap<>();
+               this.inputConstraintChecker = new 
InputDependencyConstraintChecker();
+       }
+
+       @Override
+       public void startScheduling() {
+               List<ExecutionVertexDeploymentOption> 
executionVertexDeploymentOptions = new ArrayList<>();
+               final DeploymentOption updateOption = new 
DeploymentOption(true);
+               final DeploymentOption nonUpdateOption = new 
DeploymentOption(false);
+
+               for (SchedulingExecutionVertex schedulingVertex : 
schedulingTopology.getVertices()) {
+                       DeploymentOption option = nonUpdateOption;
+                       for (SchedulingResultPartition srp : 
schedulingVertex.getProducedResultPartitions()) {
+                               if (srp.getPartitionType().isBlocking()) {
+                                       
inputConstraintChecker.addSchedulingResultPartition(srp);
+                               } else {
+                                       option = updateOption;
+                               }
+                       }
+                       deploymentOptions.put(schedulingVertex.getId(), option);
+
+                       if 
(schedulingVertex.getConsumedResultPartitions().isEmpty()) {
+                               // schedule vertices without consumed result 
partition
+                               executionVertexDeploymentOptions.add(
+                                               new 
ExecutionVertexDeploymentOption(schedulingVertex.getId(), option));
+                       }
+               }
+
+               
schedulerOperations.allocateSlotsAndDeploy(executionVertexDeploymentOptions);
+       }
+
+       @Override
+       public void restartTasks(Set<ExecutionVertexID> verticesToRestart) {
+               // increase counter of the dataset first
+               for (ExecutionVertexID executionVertexId : verticesToRestart) {
+                       final SchedulingExecutionVertex schedulingVertex = 
schedulingTopology.getVertex(executionVertexId)
 
 Review comment:
   Code is duplicated in line 101. For now I think it's ok to introduce a 
helper method inside the strategy. Eventually we have to think whether 
`Optional` return type makes sense, or if `schedulingTopology` should just 
throw an exception`.
   ```
        private SchedulingExecutionVertex getSchedulingVertex(final 
ExecutionVertexID executionVertexId) {
                return schedulingTopology.getVertex(executionVertexId)
                        .orElseThrow(() -> new IllegalStateException("can not 
find scheduling vertex for " + executionVertexId));
        }
   ```

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