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From GitBox <...@apache.org>
Subject [GitHub] [incubator-nemo] taegeonum commented on a change in pull request #216: [NEMO-387] LambdaScheduler
Date Mon, 24 Jun 2019 03:32:25 GMT
taegeonum commented on a change in pull request #216: [NEMO-387] LambdaScheduler
URL: https://github.com/apache/incubator-nemo/pull/216#discussion_r296542173
 
 

 ##########
 File path: runtime/master/src/main/java/org/apache/nemo/runtime/master/scheduler/LambdaScheduler.java
 ##########
 @@ -0,0 +1,193 @@
+/*
+ * 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.runtime.master.scheduler;
+
+import com.amazonaws.ClientConfiguration;
+import com.amazonaws.services.lambda.AWSLambda;
+import com.amazonaws.services.lambda.AWSLambdaAsync;
+import com.amazonaws.services.lambda.AWSLambdaAsyncClientBuilder;
+import com.amazonaws.services.lambda.AWSLambdaClientBuilder;
+import com.amazonaws.services.lambda.model.InvokeRequest;
+import com.amazonaws.services.lambda.model.InvokeResult;
+import io.netty.channel.group.ChannelGroup;
+import io.netty.channel.group.DefaultChannelGroup;
+import io.netty.util.concurrent.GlobalEventExecutor;
+import org.apache.nemo.common.ir.Readable;
+import org.apache.nemo.offloading.client.NettyServerSideChannelHandler;
+import org.apache.nemo.offloading.client.NettyServerTransport;
+import org.apache.nemo.runtime.common.plan.PhysicalPlan;
+import org.apache.nemo.runtime.common.plan.Stage;
+import org.apache.nemo.runtime.common.plan.StageEdge;
+import org.apache.nemo.runtime.common.state.TaskState;
+import org.apache.nemo.runtime.master.PipeManagerMaster;
+import org.apache.nemo.runtime.master.PlanStateManager;
+import org.apache.nemo.runtime.master.resource.ExecutorRepresenter;
+import org.apache.reef.annotations.audience.DriverSide;
+import org.apache.reef.tang.Injector;
+import org.apache.reef.tang.JavaConfigurationBuilder;
+import org.apache.reef.tang.Tang;
+import org.apache.reef.wake.remote.ports.TcpPortProvider;
+import org.apache.reef.wake.remote.ports.parameters.TcpPortRangeBegin;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import javax.annotation.Nullable;
+import javax.annotation.concurrent.NotThreadSafe;
+import javax.inject.Inject;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * A simple scheduler for batch job with Nemo Lambda Executor.
+ * - Keeps track of new executors
+ * - Schedules all tasks in the plan at once.
+ * - Crashes the system upon any other events (should be fixed in the future)
+ * - Never stops running.
+ */
+@DriverSide
+@NotThreadSafe
+public final class LambdaScheduler implements Scheduler {
+  private static final Logger LOG = LoggerFactory.getLogger(StreamingScheduler.class.getName());
+
+  private final PlanStateManager planStateManager;
+
+  @Inject
+  private LambdaScheduler(final TaskDispatcher taskDispatcher,
+                     final PendingTaskCollectionPointer pendingTaskCollectionPointer,
+                     final ExecutorRegistry executorRegistry,
+                     final PlanStateManager planStateManager,
+                     final PipeManagerMaster pipeManagerMaster) {
+    this.planStateManager = planStateManager;
+    LOG.info("Using Lambda Scheduler");
+  }
+
+  @Override
+  public void schedulePlan(final PhysicalPlan submittedPhysicalPlan,
+                           final int maxScheduleAttempt) {
+
+    if (maxScheduleAttempt > 1) {
+      throw new UnsupportedOperationException();
+    }
+
+    planStateManager.updatePlan(submittedPhysicalPlan, maxScheduleAttempt);
+    planStateManager.storeJSON("submitted");
+
+    // We presume serverless function has been deployed and uploaded
+
+    // Prepare tasks
+    final List<Stage> allStages = submittedPhysicalPlan.getStageDAG().getTopologicalSort();
+    allStages.stream().forEach(stageToSchedule -> {
+      LOG.info("Execute new stage");
+      final List<StageEdge> stageIncomingEdges =
+        submittedPhysicalPlan.getStageDAG().getIncomingEdgesOf(stageToSchedule.getId());
+      final List<StageEdge> stageOutgoingEdges =
+        submittedPhysicalPlan.getStageDAG().getOutgoingEdgesOf(stageToSchedule.getId());
+
+      // the list of maps between vertex ID and readables.
+      final List<Map<String, Readable>> vertexIdToReadables = stageToSchedule.getVertexIdToReadables();
+      final List<String> taskIdsToSchedule = planStateManager.getTaskAttemptsToSchedule(stageToSchedule.getId());
+
+
+      taskIdsToSchedule.forEach(taskId -> {
+        AWSLambda client = AWSLambdaClientBuilder.standard().build();
 
 Review comment:
   We don't have to create a client per each task. Why don't you reuse it?

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