MAPREDUCE-3205. Fix memory specifications to be physical rather than virtual, allowing for a ratio between the two to be configurable. Contributed by Todd Lipcon.

git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1189542 13f79535-47bb-0310-9956-ffa450edef68

hadoop-mapreduce-project/CHANGES.txt

@@ -432,6 +432,10 @@ Release 0.23.0 - Unreleased
     MAPREDUCE-2747. Cleaned up LinuxContainerExecutor binary sources and changed
     the configuration to use yarn names. (Robert Joseph Evans via vinodkv)
 
+    MAPREDUCE-3205. Fix memory specifications to be physical rather than
+    virtual, allowing for a ratio between the two to be configurable. (todd
+    via acmurthy) 
+
   OPTIMIZATIONS
 
     MAPREDUCE-2026. Make JobTracker.getJobCounters() and

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-common/src/main/java/org/apache/hadoop/yarn/conf/YarnConfiguration.java

@@ -296,8 +296,12 @@ public class YarnConfiguration extends Configuration {
   public static final String DEFAULT_NM_REMOTE_APP_LOG_DIR = "/tmp/logs";
   
   /** Amount of memory in GB that can be allocated for containers.*/
-  public static final String NM_VMEM_GB = NM_PREFIX + "resource.memory-gb";
+  public static final String NM_PMEM_MB = NM_PREFIX + "resource.memory-mb";
-  public static final int DEFAULT_NM_VMEM_GB = 8;
+  public static final int DEFAULT_NM_PMEM_MB = 8 * 1024;
+  
+  public static final String NM_VMEM_PMEM_RATIO =
+    NM_PREFIX + "vmem-pmem-ratio";
+  public static final float DEFAULT_NM_VMEM_PMEM_RATIO = 2.1f;
   
   /** NM Webapp address.**/
   public static final String NM_WEBAPP_ADDRESS = NM_PREFIX + "webapp.address";
@@ -314,10 +318,6 @@ public class YarnConfiguration extends Configuration {
   public static final String NM_CONTAINER_MON_RESOURCE_CALCULATOR =
     NM_PREFIX + "container-monitor.resource-calculator.class";
   
-  /** Amount of physical ram to reserve for other applications, -1 disables.*/
-  public static final String NM_RESERVED_MEMORY_MB =
-    NM_PREFIX + "reserved.memory-mb";
-  
   /** Frequency of running node health script.*/
   public static final String NM_HEALTH_CHECK_INTERVAL_MS = 
     NM_PREFIX + "health-checker.interval-ms";

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/resources/yarn-default.xml

@@ -286,9 +286,20 @@
   </property>
 
   <property>
-    <description>Amount of memory in GB that can be allocated for containers.</description>
+    <description>Amount of physical memory, in MB, that can be allocated 
-    <name>yarn.nodemanager.resource.memory-gb</name>
+    for containers.</description>
-    <value>8</value>
+    <name>yarn.nodemanager.resource.memory-mb</name>
+    <value>8192</value>
+  </property>
+
+  <property>
+    <description>Ratio between virtual memory to physical memory when
+    setting memory limits for containers. Container allocations are
+    expressed in terms of physical memory, and virtual memory usage
+    is allowed to exceed this allocation by this ratio.
+    </description>
+    <name>yarn.nodemanager.vmem-pmem-ratio</name>
+    <value>2.1</value>
   </property>
 
   <property>
@@ -308,12 +319,6 @@
     <name>yarn.nodemanager.container-monitor.resource-calculator.class</name>
   </property>
 
-  <property>
-    <description>Amount of physical ram to reserve for other applications, -1 disables.</description>
-    <name>yarn.nodemanager.reserved.memory-mb</name>
-    <value>-1</value>
-  </property>
-
   <property>
     <description>Frequency of running node health script.</description>
     <name>yarn.nodemanager.health-checker.interval-ms</name>

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/NodeStatusUpdaterImpl.java

@@ -100,9 +100,9 @@ public synchronized void init(Configuration conf) {
     this.heartBeatInterval =
         conf.getLong(YarnConfiguration.NM_TO_RM_HEARTBEAT_INTERVAL_MS,
             YarnConfiguration.DEFAULT_NM_TO_RM_HEARTBEAT_INTERVAL_MS);
-    int memory = conf.getInt(YarnConfiguration.NM_VMEM_GB, YarnConfiguration.DEFAULT_NM_VMEM_GB);
+    int memoryMb = conf.getInt(YarnConfiguration.NM_PMEM_MB, YarnConfiguration.DEFAULT_NM_PMEM_MB);
     this.totalResource = recordFactory.newRecordInstance(Resource.class);
-    this.totalResource.setMemory(memory * 1024);
+    this.totalResource.setMemory(memoryMb);
     metrics.addResource(totalResource);
     super.init(conf);
   }

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/ContainerManagerImpl.java

@@ -275,7 +275,7 @@ public StartContainerResponse startContainer(StartContainerRequest request)
     // //////////// End of parsing credentials
 
     Container container =
-        new ContainerImpl(this.dispatcher, launchContext, credentials, metrics);
+        new ContainerImpl(getConfig(), this.dispatcher, launchContext, credentials, metrics);
     ContainerId containerID = launchContext.getContainerId();
     ApplicationId applicationID = 
         containerID.getApplicationAttemptId().getApplicationId();

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/container/ContainerImpl.java

@@ -32,6 +32,7 @@
 
 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.fs.Path;
 import org.apache.hadoop.security.Credentials;
 import org.apache.hadoop.util.StringUtils;
@@ -77,6 +78,9 @@ public class ContainerImpl implements Container {
   private int exitCode = YarnConfiguration.INVALID_CONTAINER_EXIT_STATUS;
   private final StringBuilder diagnostics;
 
+  /** The NM-wide configuration - not specific to this container */
+  private final Configuration daemonConf;
+
   private static final Log LOG = LogFactory.getLog(Container.class);
   private final RecordFactory recordFactory = RecordFactoryProvider.getRecordFactory(null);
   private final Map<LocalResourceRequest,String> pendingResources =
@@ -90,9 +94,11 @@ public class ContainerImpl implements Container {
   private final List<LocalResourceRequest> appRsrcs =
     new ArrayList<LocalResourceRequest>();
 
-  public ContainerImpl(Dispatcher dispatcher,
+  public ContainerImpl(Configuration conf,
+      Dispatcher dispatcher,
       ContainerLaunchContext launchContext, Credentials creds,
       NodeManagerMetrics metrics) {
+    this.daemonConf = conf;
     this.dispatcher = dispatcher;
     this.launchContext = launchContext;
     this.diagnostics = new StringBuilder();
@@ -568,12 +574,16 @@ static class LaunchTransition extends ContainerTransition {
     public void transition(ContainerImpl container, ContainerEvent event) {
       // Inform the ContainersMonitor to start monitoring the container's
       // resource usage.
-      // TODO: Fix pmem limits below
+      long pmemBytes =
-      long vmemBytes =
           container.getLaunchContext().getResource().getMemory() * 1024 * 1024L;
+      float pmemRatio = container.daemonConf.getFloat(
+          YarnConfiguration.NM_VMEM_PMEM_RATIO,
+          YarnConfiguration.DEFAULT_NM_VMEM_PMEM_RATIO);
+      long vmemBytes = (long) (pmemRatio * pmemBytes);
+      
       container.dispatcher.getEventHandler().handle(
           new ContainerStartMonitoringEvent(container.getContainerID(),
-              vmemBytes, -1));
+              vmemBytes, pmemBytes));
       container.metrics.runningContainer();
     }
   }

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/monitor/ContainersMonitorImpl.java

@@ -28,6 +28,7 @@
 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
 import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.util.StringUtils;
 import org.apache.hadoop.yarn.api.records.ContainerId;
 import org.apache.hadoop.yarn.conf.YarnConfiguration;
 import org.apache.hadoop.yarn.event.AsyncDispatcher;
@@ -39,6 +40,8 @@
 import org.apache.hadoop.yarn.util.ProcfsBasedProcessTree;
 import org.apache.hadoop.yarn.util.ResourceCalculatorPlugin;
 
+import com.google.inject.internal.Preconditions;
+
 public class ContainersMonitorImpl extends AbstractService implements
     ContainersMonitor {
 
@@ -67,11 +70,6 @@ public class ContainersMonitorImpl extends AbstractService implements
    */
   public static final long DISABLED_MEMORY_LIMIT = -1L;
 
-  private static final String MEMORY_USAGE_STRING =
-      "Memory usage of ProcessTree %s for container-id %s : Virtual %d bytes, "
-          +
-          "limit : %d bytes; Physical %d bytes, limit %d bytes";
-
   public ContainersMonitorImpl(ContainerExecutor exec,
       AsyncDispatcher dispatcher, Context context) {
     super("containers-monitor");
@@ -110,33 +108,33 @@ public synchronized void init(Configuration conf) {
       }
     }
 
-    // ///////// Virtual memory configuration //////
-    this.maxVmemAllottedForContainers =
-        conf.getLong(YarnConfiguration.NM_VMEM_GB, YarnConfiguration.DEFAULT_NM_VMEM_GB);
-    this.maxVmemAllottedForContainers =
-        this.maxVmemAllottedForContainers * 1024 * 1024 * 1024L; //Normalize
-
-    if (this.maxVmemAllottedForContainers > totalPhysicalMemoryOnNM) {
-      LOG.info("totalMemoryAllottedForContainers > totalPhysicalMemoryOnNM."
-          + " Thrashing might happen.");
-    }
-
     // ///////// Physical memory configuration //////
-    long reservedPmemOnNM =
+    this.maxPmemAllottedForContainers =
-        conf.getLong(YarnConfiguration.NM_RESERVED_MEMORY_MB, DISABLED_MEMORY_LIMIT);
+        conf.getLong(YarnConfiguration.NM_PMEM_MB, YarnConfiguration.DEFAULT_NM_PMEM_MB);
-    reservedPmemOnNM =
+    this.maxPmemAllottedForContainers =
-        reservedPmemOnNM == DISABLED_MEMORY_LIMIT
+        this.maxPmemAllottedForContainers * 1024 * 1024L; //Normalize to bytes
-            ? DISABLED_MEMORY_LIMIT
-            : reservedPmemOnNM * 1024 * 1024; // normalize to bytes
 
-    if (reservedPmemOnNM == DISABLED_MEMORY_LIMIT
+    if (totalPhysicalMemoryOnNM != DISABLED_MEMORY_LIMIT &&
-        || totalPhysicalMemoryOnNM == DISABLED_MEMORY_LIMIT) {
+        this.maxPmemAllottedForContainers >
-      this.maxPmemAllottedForContainers = DISABLED_MEMORY_LIMIT;
+        totalPhysicalMemoryOnNM * 0.80f) {
-    } else {
+      LOG.warn("NodeManager configured with " +
-      this.maxPmemAllottedForContainers =
+          StringUtils.humanReadableInt(maxPmemAllottedForContainers) +
-          totalPhysicalMemoryOnNM - reservedPmemOnNM;
+          " physical memory allocated to containers, which is more than " +
+          "80% of the total physical memory available (" +
+          StringUtils.humanReadableInt(totalPhysicalMemoryOnNM) +
+          "). Thrashing might happen.");
     }
 
+    // ///////// Virtual memory configuration //////
+    float vmemRatio = conf.getFloat(
+        YarnConfiguration.NM_VMEM_PMEM_RATIO,
+        YarnConfiguration.DEFAULT_NM_VMEM_PMEM_RATIO);
+    Preconditions.checkArgument(vmemRatio > 0.99f,
+        YarnConfiguration.NM_VMEM_PMEM_RATIO +
+        " should be at least 1.0");
+    this.maxVmemAllottedForContainers =
+      (long)(vmemRatio * maxPmemAllottedForContainers);
+
     super.init(conf);
   }
 
@@ -399,9 +397,10 @@ public void run() {
             long curRssMemUsageOfAgedProcesses = pTree.getCumulativeRssmem(1);
             long vmemLimit = ptInfo.getVmemLimit();
             long pmemLimit = ptInfo.getPmemLimit();
-            LOG.info(String.format(MEMORY_USAGE_STRING, pId,
+            LOG.info(String.format(
-                containerId.toString(), currentVmemUsage, vmemLimit,
+                "Memory usage of ProcessTree %s for container-id %s: ",
-                currentPmemUsage, pmemLimit));
+                     pId, containerId.toString()) +
+                formatUsageString(currentVmemUsage, vmemLimit, currentPmemUsage, pmemLimit));
 
             boolean isMemoryOverLimit = false;
             String msg = "";
@@ -411,18 +410,10 @@ && isProcessTreeOverLimit(containerId.toString(),
               // Container (the root process) is still alive and overflowing
               // memory.
               // Dump the process-tree and then clean it up.
-              msg =
+              msg = formatErrorMessage("virtual",
-                  "Container [pid="
+                  currentVmemUsage, vmemLimit,
-                      + pId
+                  currentPmemUsage, pmemLimit,
-                      + ",containerID="
+                  pId, containerId, pTree);
-                      + containerId
-                      + "] is running beyond memory-limits. Current usage : "
-                      + currentVmemUsage
-                      + "bytes. Limit : "
-                      + vmemLimit
-                      + "bytes. Killing container. "
-                      + "\nDump of the process-tree for " + containerId
-                      + " : \n" + pTree.getProcessTreeDump();
               isMemoryOverLimit = true;
             } else if (isPhysicalMemoryCheckEnabled()
                 && isProcessTreeOverLimit(containerId.toString(),
@@ -431,18 +422,10 @@ && isProcessTreeOverLimit(containerId.toString(),
               // Container (the root process) is still alive and overflowing
               // memory.
               // Dump the process-tree and then clean it up.
-              msg =
+              msg = formatErrorMessage("physical",
-                  "Container [pid="
+                  currentVmemUsage, vmemLimit,
-                      + pId
+                  currentPmemUsage, pmemLimit,
-                      + ",tipID="
+                  pId, containerId, pTree);
-                      + containerId
-                      + "] is running beyond physical memory-limits."
-                      + " Current usage : "
-                      + currentPmemUsage
-                      + "bytes. Limit : "
-                      + pmemLimit
-                      + "bytes. Killing container. \nDump of the process-tree for "
-                      + containerId + " : \n" + pTree.getProcessTreeDump();
               isMemoryOverLimit = true;
             }
 
@@ -484,6 +467,31 @@ && isProcessTreeOverLimit(containerId.toString(),
         }
       }
     }
+
+    private String formatErrorMessage(String memTypeExceeded,
+        long currentVmemUsage, long vmemLimit,
+        long currentPmemUsage, long pmemLimit,
+        String pId, ContainerId containerId, ProcfsBasedProcessTree pTree) {
+      return
+        String.format("Container [pid=%s,containerID=%s] is running beyond %s memory limits. ",
+            pId, containerId, memTypeExceeded) +
+        "Current usage: " +
+        formatUsageString(currentVmemUsage, vmemLimit,
+                          currentPmemUsage, pmemLimit) +
+        ". Killing container.\n" +
+        "Dump of the process-tree for " + containerId + " :\n" +
+        pTree.getProcessTreeDump();
+    }
+
+    private String formatUsageString(long currentVmemUsage, long vmemLimit,
+        long currentPmemUsage, long pmemLimit) {
+      return String.format("%sb of %sb physical memory used; " +
+          "%sb of %sb virtual memory used",
+          StringUtils.humanReadableInt(currentPmemUsage),
+          StringUtils.humanReadableInt(pmemLimit),
+          StringUtils.humanReadableInt(currentVmemUsage),
+          StringUtils.humanReadableInt(vmemLimit));
+    }
   }
 
   @Override

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/TestNodeStatusUpdater.java

@@ -30,6 +30,7 @@
 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
 import org.apache.hadoop.NodeHealthCheckerService;
+import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.fs.FileContext;
 import org.apache.hadoop.fs.Path;
 import org.apache.hadoop.metrics2.lib.DefaultMetricsSystem;
@@ -83,6 +84,7 @@ public class TestNodeStatusUpdater {
   int heartBeatID = 0;
   volatile Error nmStartError = null;
   private final List<NodeId> registeredNodes = new ArrayList<NodeId>();
+  private final Configuration conf = new YarnConfiguration();
 
   @After
   public void tearDown() {
@@ -168,7 +170,7 @@ public NodeHeartbeatResponse nodeHeartbeat(NodeHeartbeatRequest request)
         launchContext.setContainerId(firstContainerID);
         launchContext.setResource(recordFactory.newRecordInstance(Resource.class));
         launchContext.getResource().setMemory(2);
-        Container container = new ContainerImpl(null, launchContext, null, null);
+        Container container = new ContainerImpl(conf , null, launchContext, null, null);
         this.context.getContainers().put(firstContainerID, container);
       } else if (heartBeatID == 2) {
         // Checks on the RM end
@@ -192,7 +194,7 @@ public NodeHeartbeatResponse nodeHeartbeat(NodeHeartbeatRequest request)
         launchContext.setContainerId(secondContainerID);
         launchContext.setResource(recordFactory.newRecordInstance(Resource.class));
         launchContext.getResource().setMemory(3);
-        Container container = new ContainerImpl(null, launchContext, null, null);
+        Container container = new ContainerImpl(conf, null, launchContext, null, null);
         this.context.getContainers().put(secondContainerID, container);
       } else if (heartBeatID == 3) {
         // Checks on the RM end
@@ -358,7 +360,7 @@ public void start() {
 
   private YarnConfiguration createNMConfig() {
     YarnConfiguration conf = new YarnConfiguration();
-    conf.setInt(YarnConfiguration.NM_VMEM_GB, 5); // 5GB
+    conf.setInt(YarnConfiguration.NM_PMEM_MB, 5*1024); // 5GB
     conf.set(YarnConfiguration.NM_ADDRESS, "127.0.0.1:12345");
     conf.set(YarnConfiguration.NM_LOCALIZER_ADDRESS, "127.0.0.1:12346");
     conf.set(YarnConfiguration.NM_LOG_DIRS, new Path(basedir, "logs").toUri()

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/container/TestContainer.java

@@ -37,6 +37,7 @@
 import java.util.Map.Entry;
 import java.util.Random;
 
+import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.fs.Path;
 import org.apache.hadoop.yarn.api.records.ContainerId;
 import org.apache.hadoop.yarn.api.records.ContainerLaunchContext;
@@ -45,6 +46,7 @@
 import org.apache.hadoop.yarn.api.records.LocalResourceVisibility;
 import org.apache.hadoop.yarn.api.records.Resource;
 import org.apache.hadoop.yarn.api.records.URL;
+import org.apache.hadoop.yarn.conf.YarnConfiguration;
 import org.apache.hadoop.yarn.event.Dispatcher;
 import org.apache.hadoop.yarn.event.DrainDispatcher;
 import org.apache.hadoop.yarn.event.EventHandler;
@@ -68,6 +70,7 @@
 public class TestContainer {
 
   final NodeManagerMetrics metrics = NodeManagerMetrics.create();
+  final Configuration conf = new YarnConfiguration();
 
   
   /**
@@ -384,7 +387,7 @@ private static Map<String,ByteBuffer> createServiceData(Random r) {
   }
 
   private Container newContainer(Dispatcher disp, ContainerLaunchContext ctx) {
-    return new ContainerImpl(disp, ctx, null, metrics);
+    return new ContainerImpl(conf, disp, ctx, null, metrics);
   }
   
   @SuppressWarnings("unchecked")

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/monitor/TestContainersMonitor.java

@@ -266,12 +266,13 @@ public void testContainerKillOnMemoryOverflow() throws IOException,
         containerStatus.getExitStatus());
     String expectedMsgPattern =
         "Container \\[pid=" + pid + ",containerID=" + cId
-            + "\\] is running beyond memory-limits. Current usage : "
+            + "\\] is running beyond virtual memory limits. Current usage: "
-            + "[0-9]*bytes. Limit : [0-9]*"
+            + "[0-9.]+m?b of [0-9.]+m?b physical memory used; "
-            + "bytes. Killing container. \nDump of the process-tree for "
+            + "[0-9.]+m?b of [0-9.]+m?b virtual memory used. "
-            + cId + " : \n";
+            + "Killing container.\nDump of the process-tree for "
+            + cId + " :\n";
     Pattern pat = Pattern.compile(expectedMsgPattern);
-    Assert.assertEquals("Expected message patterns is: " + expectedMsgPattern
+    Assert.assertEquals("Expected message pattern is: " + expectedMsgPattern
         + "\n\nObserved message is: " + containerStatus.getDiagnostics(),
         true, pat.matcher(containerStatus.getDiagnostics()).find());
 

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/webapp/TestNMWebServer.java

@@ -107,7 +107,7 @@ public long getPmemAllocatedForContainers() {
       launchContext.setContainerId(containerId);
       launchContext.setUser(user);
       Container container =
-          new ContainerImpl(dispatcher, launchContext, null, metrics) {
+          new ContainerImpl(conf, dispatcher, launchContext, null, metrics) {
         @Override
         public ContainerState getContainerState() {
           return ContainerState.RUNNING;

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-tests/src/test/java/org/apache/hadoop/yarn/server/MiniYARNCluster.java

@@ -168,7 +168,7 @@ public synchronized void start() {
         getConfig().set(YarnConfiguration.NM_LOG_DIRS, logDir.getAbsolutePath());
         getConfig().set(YarnConfiguration.NM_REMOTE_APP_LOG_DIR,
             remoteLogDir.getAbsolutePath());
-        getConfig().setInt(YarnConfiguration.NM_VMEM_GB, 4); // By default AM + 2 containers
+        getConfig().setInt(YarnConfiguration.NM_PMEM_MB, 4*1024); // By default AM + 2 containers
         nodeManager = new NodeManager() {
 
           @Override

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-site/src/site/apt/ClusterSetup.apt.vm

@@ -241,9 +241,17 @@ Hadoop MapReduce Next Generation - Cluster Setup
 *-------------------------+-------------------------+------------------------+
 || Parameter              || Value                  || Notes                 |
 *-------------------------+-------------------------+------------------------+
-| <<<yarn.nodemanager.resource.memory-gb>>> | | |
+| <<<yarn.nodemanager.resource.memory-mb>>> | | |
-| | Resource i.e. available memory, in GB, for given <<<NodeManager>>> | |
+| | Resource i.e. available physical memory, in MB, for given <<<NodeManager>>> | |
-| | | Defines available resources on the <<<NodeManager>>>. |
+| | | Defines total available resources on the <<<NodeManager>>> to be made |
+| | | available to running containers |
+*-------------------------+-------------------------+------------------------+
+| <<<yarn.nodemanager.vmem-pmem-ratio>>> | | |
+| | Maximum ratio by which virtual memory usage of tasks may exceed |
+| | physical memory | |
+| | | The virtual memory usage of each task may exceed its physical memory |
+| | | limit by this ratio. The total amount of virtual memory used by tasks |
+| | | on the NodeManager may exceed its physical memory usage by this ratio. |
 *-------------------------+-------------------------+------------------------+
 | <<<yarn.nodemanager.local-dirs>>> | | |
 | | Comma-separated list of paths on the local filesystem where | |

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-site/src/site/apt/SingleCluster.apt.vm

@@ -119,8 +119,8 @@ Add the following configs to your <<<yarn-site.xml>>>
   </property>  
 
   <property>
-    <name>yarn.nodemanager.resource.memory-gb</name>
+    <name>yarn.nodemanager.resource.memory-mb</name>
-    <value>10</value>
+    <value>10240</value>
     <description>the amount of memory on the NodeManager in GB</description>
   </property>
  

hadoop-mapreduce-project/hadoop-yarn/hadoop-yarn-site/src/site/apt/WritingYarnApplications.apt.vm

@@ -406,7 +406,8 @@ Hadoop MapReduce Next Generation - Writing YARN Applications
     * Resource capability: Currently, YARN only supports memory based resource 
       requirements so the request should define how much memory is needed. The 
       value is defined in MB and has to less than the max capability of the 
-      cluster and an exact multiple of the min capability. 
+      cluster and an exact multiple of the min capability. Memory resources
+      correspond to physical memory limits imposed on the task containers.
       
     * Priority: When asking for sets of containers, an ApplicationMaster may 
       define different priorities to each set. For example, the Map-Reduce 
@@ -774,8 +775,9 @@ Hadoop MapReduce Next Generation - Writing YARN Applications
   The two things you're interested in are physical memory and virtual memory. 
   If you have exceeded physical memory limits your app is using too much physical 
   memory. If you're running a Java app, you can use -hprof to look at what is 
-  taking up space in the heap. If you have exceeded virtual memory, things are 
+  taking up space in the heap. If you have exceeded virtual memory, you may
-  slightly more complicated. 
+  need to increase the value of the the cluster-wide configuration variable
+  <<<yarn.nodemanager.vmem-pmem-ratio>>>.
 
 * Useful Links
 

hadoop-mapreduce-project/src/docs/src/documentation/content/xdocs/mapred_tutorial.xml

@@ -1232,47 +1232,26 @@
            </li>
          
            <li>
-           <code>mapreduce.{map|reduce}.ulimit</code>: The slaves where
+           <code>mapreduce.{map|reduce}.memory.mb</code>:
-           tasks are run could be configured with a ulimit value that
+           This parameter configures how many megabytes of physical memory
-           applies a limit to every process that is launched on the slave.
+           the job requires for its map and reduce tasks. It must be configured
-           If the task, or any child that the task launches (like in
+           to be slightly larger than the configured Java heap size above,
-           streaming), requires more than the configured limit, this option
+           to account for the fact that the JVM uses physical memory beyond
-           must be used. The value is given in kilobytes. For example, to
+           just the heap. An overhead of 20% to 30% is usually sufficient.
-           increase the ulimit to 1G, the option should be set to 1048576.
+           <br/>
-           Note that this value is a per process limit. Since it applies 
+           Note that, the smaller the amount of memory specified for tasks
-           to the JVM as well, the heap space given to the JVM through 
+           in this configuration, the larger the number of tasks that
-           the <code>mapreduce.{map|reduce}.java.opts</code> should be less
+           can be run in parallel.<br/>
-           than the value configured for the ulimit. Otherwise the JVM
-           will not start.
-           </li>
 
-           <li>
+           The value is given in MB. For example, to set 
-           <code>mapreduce.{map|reduce}.memory.mb</code>: In some 
-           environments, administrators might have configured a total limit
-           on the virtual memory used by the entire process tree for a task, 
-           including all processes launched recursively by the task or 
-           its children, like in streaming. More details about this can be
-           found in the section on 
-           <a href="ext:cluster-setup/ConfiguringMemoryParameters">
-           Monitoring Task Memory Usage</a> in the Cluster SetUp guide.
-           If a task requires more virtual memory for its entire tree, 
-           this option 
-           must be used. The value is given in MB. For example, to set 
            the limit to 1G, the option should be set to 1024. Note that this 
            value does not automatically influence the per process ulimit or 
            heap space. Hence, you may need to set those parameters as well 
            (as described above) in order to give your tasks the right amount 
            of memory.
-           </li>
+           <br/>
-          
+           If the amount of physical memory used by your task exceeds the
-           <li>
+           configured value, the NodeManager will automatically kill the task.
-           <code>mapreduce.{map|reduce}.memory.physical.mb</code>: 
-           This parameter is similar to 
-           <code>mapreduce.{map|reduce}.memory.mb</code>, except it specifies
-           how much physical memory is required by a task for its entire
-           tree of processes. The parameter is applicable if administrators
-           have configured a total limit on the physical memory used by
-           all MapReduce tasks.
            </li>
           
          </ul>
@@ -1297,7 +1276,7 @@
          <p>
          Note: The memory related configuration options described above 
          are used only for configuring the launched child tasks from the 
-         tasktracker. Configuring the memory options for daemons is documented 
+         NodeManager. Configuring the memory options for daemons is documented 
          under
          <a href="ext:cluster-setup/ConfiguringEnvironmentHadoopDaemons">
          Configuring the Environment of the Hadoop Daemons</a> (Cluster Setup).