YARN-9235. If linux container executor is not set for a GPU cluster GpuResourceHandlerImpl is not initialized and NPE is thrown. Contributed by Antal Balint Steinbach, Adam Antal
(cherry picked from commit c416284bb7
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@ -18,6 +18,7 @@
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package org.apache.hadoop.yarn.server.nodemanager.containermanager.resourceplugin.gpu;
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import org.apache.hadoop.yarn.conf.YarnConfiguration;
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import org.apache.hadoop.yarn.exceptions.YarnException;
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import org.apache.hadoop.yarn.server.nodemanager.Context;
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import org.apache.hadoop.yarn.server.nodemanager.containermanager.linux.privileged.PrivilegedOperationExecutor;
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@ -33,8 +34,14 @@ import org.apache.hadoop.yarn.server.nodemanager.webapp.dao.gpu.GpuDeviceInforma
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import org.apache.hadoop.yarn.server.nodemanager.webapp.dao.gpu.NMGpuResourceInfo;
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import java.util.List;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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public class GpuResourcePlugin implements ResourcePlugin {
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private static final Logger LOG =
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LoggerFactory.getLogger(GpuResourcePlugin.class);
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private final GpuNodeResourceUpdateHandler resourceDiscoverHandler;
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private final GpuDiscoverer gpuDiscoverer;
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private GpuResourceHandlerImpl gpuResourceHandler = null;
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@ -84,6 +91,10 @@ public class GpuResourcePlugin implements ResourcePlugin {
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public synchronized NMResourceInfo getNMResourceInfo() throws YarnException {
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GpuDeviceInformation gpuDeviceInformation =
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gpuDiscoverer.getGpuDeviceInformation();
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//At this point the gpu plugin is already enabled
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checkGpuResourceHandler();
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GpuResourceAllocator gpuResourceAllocator =
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gpuResourceHandler.getGpuAllocator();
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List<GpuDevice> totalGpus = gpuResourceAllocator.getAllowedGpusCopy();
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@ -94,6 +105,17 @@ public class GpuResourcePlugin implements ResourcePlugin {
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assignedGpuDevices);
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}
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private void checkGpuResourceHandler() throws YarnException {
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if(gpuResourceHandler == null) {
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String errorMsg =
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"Linux Container Executor is not configured for the NodeManager. "
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+ "To fully enable GPU feature on the node also set "
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+ YarnConfiguration.NM_CONTAINER_EXECUTOR + " properly.";
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LOG.warn(errorMsg);
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throw new YarnException(errorMsg);
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}
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}
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@Override
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public String toString() {
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return GpuResourcePlugin.class.getName();
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@ -0,0 +1,54 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.yarn.server.nodemanager.containermanager.resourceplugin.gpu;
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import static org.mockito.Mockito.mock;
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import org.apache.hadoop.yarn.exceptions.YarnException;
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import org.junit.Test;
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public class TestGpuResourcePlugin {
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@Test(expected = YarnException.class)
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public void testResourceHandlerNotInitialized() throws YarnException {
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GpuDiscoverer gpuDiscoverer = mock(GpuDiscoverer.class);
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GpuNodeResourceUpdateHandler gpuNodeResourceUpdateHandler =
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mock(GpuNodeResourceUpdateHandler.class);
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GpuResourcePlugin target =
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new GpuResourcePlugin(gpuNodeResourceUpdateHandler, gpuDiscoverer);
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target.getNMResourceInfo();
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}
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@Test
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public void testResourceHandlerIsInitialized() throws YarnException {
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GpuDiscoverer gpuDiscoverer = mock(GpuDiscoverer.class);
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GpuNodeResourceUpdateHandler gpuNodeResourceUpdateHandler =
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mock(GpuNodeResourceUpdateHandler.class);
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GpuResourcePlugin target =
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new GpuResourcePlugin(gpuNodeResourceUpdateHandler, gpuDiscoverer);
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target.createResourceHandler(null, null, null);
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//Not throwing any exception
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target.getNMResourceInfo();
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}
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}
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