MAPREDUCE-3812. Lower default allocation sizes, fix allocation configurations and document them (Harsh J via bobby)

git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1329282 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Robert Joseph Evans 2012-04-23 15:26:35 +00:00
parent cdbe15ccdc
commit 1eb1d0ae4f
13 changed files with 80 additions and 56 deletions

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@ -262,6 +262,9 @@ Release 0.23.3 - UNRELEASED
MAPREDUCE-4072. User set java.library.path seems to overwrite default
creating problems native lib loading (Anupam Seth via bobby)
MAPREDUCE-3812. Lower default allocation sizes, fix allocation
configurations and document them (Harsh J via bobby)
NEW FEATURES
IMPROVEMENTS

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@ -65,6 +65,7 @@
import org.apache.hadoop.yarn.api.records.ContainerId;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceRequest;
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.Event;
@ -341,7 +342,7 @@ public void handle(SchedulerEvent event) {
}
@Override
protected ResourceScheduler createScheduler() {
return new MyFifoScheduler(getRMContext());
return new MyFifoScheduler();
}
}
@ -997,18 +998,6 @@ public void testBlackListedNodesWithSchedulingToThatNode() throws Exception {
}
private static class MyFifoScheduler extends FifoScheduler {
public MyFifoScheduler(RMContext rmContext) {
super();
try {
reinitialize(new Configuration(), new ContainerTokenSecretManager(),
rmContext);
} catch (IOException ie) {
LOG.info("add application failed with ", ie);
assert (false);
}
}
// override this to copy the objects otherwise FifoScheduler updates the
// numContainers in same objects as kept by RMContainerAllocator
@Override

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@ -341,12 +341,12 @@ public interface MRJobConfig {
/** The amount of memory the MR app master needs.*/
public static final String MR_AM_VMEM_MB =
MR_AM_PREFIX+"resource.mb";
public static final int DEFAULT_MR_AM_VMEM_MB = 2048;
public static final int DEFAULT_MR_AM_VMEM_MB = 1536;
/** Command line arguments passed to the MR app master.*/
public static final String MR_AM_COMMAND_OPTS =
MR_AM_PREFIX+"command-opts";
public static final String DEFAULT_MR_AM_COMMAND_OPTS = "-Xmx1536m";
public static final String DEFAULT_MR_AM_COMMAND_OPTS = "-Xmx1024m";
/** Root Logging level passed to the MR app master.*/
public static final String MR_AM_LOG_LEVEL =

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@ -1259,7 +1259,7 @@
<property>
<name>yarn.app.mapreduce.am.resource.mb</name>
<value>2048</value>
<value>1536</value>
<description>The amount of memory the MR AppMaster needs.</description>
</property>

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@ -292,7 +292,7 @@
<property><!--Loaded from job.xml--><name>yarn.resourcemanager.scheduler.address</name><value>0.0.0.0:8030</value></property>
<property><!--Loaded from job.xml--><name>fs.trash.checkpoint.interval</name><value>0</value></property>
<property><!--Loaded from job.xml--><name>s3native.stream-buffer-size</name><value>4096</value></property>
<property><!--Loaded from job.xml--><name>yarn.scheduler.fifo.minimum-allocation-mb</name><value>1024</value></property>
<property><!--Loaded from job.xml--><name>yarn.scheduler.minimum-allocation-mb</name><value>128</value></property>
<property><!--Loaded from job.xml--><name>mapreduce.reduce.shuffle.read.timeout</name><value>180000</value></property>
<property><!--Loaded from job.xml--><name>yarn.app.mapreduce.am.command-opts</name><value>-Xmx500m</value></property>
<property><!--Loaded from job.xml--><name>mapreduce.admin.user.env</name><value>LD_LIBRARY_PATH=$HADOOP_COMMON_HOME/lib/native</value></property>

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@ -30,6 +30,7 @@
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.util.JarFinder;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.server.MiniYARNCluster;
import org.junit.AfterClass;
import org.junit.BeforeClass;
@ -48,7 +49,7 @@ public class TestDistributedShell {
@BeforeClass
public static void setup() throws InterruptedException, IOException {
LOG.info("Starting up YARN cluster");
conf.setInt("yarn.scheduler.fifo.minimum-allocation-mb", 128);
conf.setInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, 128);
if (yarnCluster == null) {
yarnCluster = new MiniYARNCluster(TestDistributedShell.class.getName(),
1, 1, 1);

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@ -107,7 +107,17 @@ public class YarnConfiguration extends Configuration {
public static final int DEFAULT_RM_SCHEDULER_PORT = 8030;
public static final String DEFAULT_RM_SCHEDULER_ADDRESS = "0.0.0.0:" +
DEFAULT_RM_SCHEDULER_PORT;
/** Miniumum memory request grant-able by the RM scheduler. */
public static final String RM_SCHEDULER_MINIMUM_ALLOCATION_MB =
YARN_PREFIX + "scheduler.minimum-allocation-mb";
public static final int DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB = 128;
/** Maximum memory request grant-able by the RM scheduler. */
public static final String RM_SCHEDULER_MAXIMUM_ALLOCATION_MB =
YARN_PREFIX + "scheduler.maximum-allocation-mb";
public static final int DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB = 10240;
/** Number of threads to handle scheduler interface.*/
public static final String RM_SCHEDULER_CLIENT_THREAD_COUNT =
RM_PREFIX + "scheduler.client.thread-count";

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@ -187,6 +187,22 @@
<name>yarn.resourcemanager.scheduler.class</name>
</property>
<property>
<description>The minimum allocation size for every container request at the RM,
in MBs. Memory requests lower than this won't take effect,
and the specified value will get allocated at minimum.</description>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>128</value>
</property>
<property>
<description>The maximum allocation size for every container request at the RM,
in MBs. Memory requests higher than this won't take effect,
and will get capped to this value.</description>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>10240</value>
</property>
<property>
<description>The class to use as the persistent store.</description>
<name>yarn.resourcemanager.store.class</name>

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@ -30,6 +30,7 @@
import org.apache.hadoop.yarn.api.records.QueueACL;
import org.apache.hadoop.yarn.api.records.QueueState;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.server.resourcemanager.resource.Resources;
public class CapacitySchedulerConfiguration extends Configuration {
@ -71,18 +72,6 @@ public class CapacitySchedulerConfiguration extends Configuration {
@Private
public static final String STATE = "state";
private static final int MINIMUM_MEMORY = 1024;
@Private
public static final String MINIMUM_ALLOCATION =
PREFIX + "minimum-allocation-mb";
private static final int MAXIMUM_MEMORY = 10240;
@Private
public static final String MAXIMUM_ALLOCATION =
PREFIX + "maximum-allocation-mb";
@Private
public static final int DEFAULT_MAXIMUM_SYSTEM_APPLICATIIONS = 10000;
@ -253,12 +242,16 @@ public void setQueues(String queue, String[] subQueues) {
}
public Resource getMinimumAllocation() {
int minimumMemory = getInt(MINIMUM_ALLOCATION, MINIMUM_MEMORY);
int minimumMemory = getInt(
YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB);
return Resources.createResource(minimumMemory);
}
public Resource getMaximumAllocation() {
int maximumMemory = getInt(MAXIMUM_ALLOCATION, MAXIMUM_MEMORY);
int maximumMemory = getInt(
YarnConfiguration.RM_SCHEDULER_MAXIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB);
return Resources.createResource(maximumMemory);
}

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@ -52,6 +52,7 @@
import org.apache.hadoop.yarn.api.records.QueueUserACLInfo;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceRequest;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.factories.RecordFactory;
import org.apache.hadoop.yarn.factory.providers.RecordFactoryProvider;
import org.apache.hadoop.yarn.security.ContainerTokenIdentifier;
@ -107,19 +108,6 @@ public class FifoScheduler implements ResourceScheduler, Configurable {
private Map<NodeId, SchedulerNode> nodes = new ConcurrentHashMap<NodeId, SchedulerNode>();
private static final int MINIMUM_MEMORY = 1024;
private static final String FIFO_PREFIX = "yarn.scheduler.fifo.";
@Private
public static final String MINIMUM_ALLOCATION =
FIFO_PREFIX + "minimum-allocation-mb";
private static final int MAXIMUM_MEMORY = 10240;
@Private
public static final String MAXIMUM_ALLOCATION =
FIFO_PREFIX + "maximum-allocation-mb";
private boolean initialized;
private Resource minimumAllocation;
private Resource maximumAllocation;
@ -218,9 +206,13 @@ public synchronized void reinitialize(Configuration conf,
this.containerTokenSecretManager = containerTokenSecretManager;
this.rmContext = rmContext;
this.minimumAllocation =
Resources.createResource(conf.getInt(MINIMUM_ALLOCATION, MINIMUM_MEMORY));
Resources.createResource(conf.getInt(
YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB));
this.maximumAllocation =
Resources.createResource(conf.getInt(MAXIMUM_ALLOCATION, MAXIMUM_MEMORY));
Resources.createResource(conf.getInt(
YarnConfiguration.RM_SCHEDULER_MAXIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB));
this.metrics = QueueMetrics.forQueue(DEFAULT_QUEUE_NAME, null, false,
conf);
this.activeUsersManager = new ActiveUsersManager(metrics);

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@ -137,7 +137,7 @@ public void test() throws Exception {
rm.stop();
}
private void testMinimumAllocation(YarnConfiguration conf)
private void testMinimumAllocation(YarnConfiguration conf, int testAlloc)
throws Exception {
MockRM rm = new MockRM(conf);
rm.start();
@ -146,7 +146,7 @@ private void testMinimumAllocation(YarnConfiguration conf)
MockNM nm1 = rm.registerNode("h1:1234", 6 * GB);
// Submit an application
RMApp app1 = rm.submitApp(256);
RMApp app1 = rm.submitApp(testAlloc);
// kick the scheduling
nm1.nodeHeartbeat(true);
@ -157,7 +157,8 @@ private void testMinimumAllocation(YarnConfiguration conf)
nm1.getNodeId());
int checkAlloc =
conf.getInt("yarn.scheduler.fifo.minimum-allocation-mb", GB);
conf.getInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB);
Assert.assertEquals(checkAlloc, report_nm1.getUsedResource().getMemory());
rm.stop();
@ -165,14 +166,20 @@ private void testMinimumAllocation(YarnConfiguration conf)
@Test
public void testDefaultMinimumAllocation() throws Exception {
testMinimumAllocation(new YarnConfiguration());
// Test with something lesser than default
testMinimumAllocation(
new YarnConfiguration(),
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB / 2);
}
@Test
public void testNonDefaultMinimumAllocation() throws Exception {
// Set custom min-alloc to test tweaking it
int allocMB = 512;
YarnConfiguration conf = new YarnConfiguration();
conf.setInt("yarn.scheduler.fifo.minimum-allocation-mb", 512);
testMinimumAllocation(conf);
conf.setInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, allocMB);
// Test for something lesser than this.
testMinimumAllocation(conf, allocMB / 2);
}
@Test

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@ -31,6 +31,7 @@
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.util.VersionInfo;
import org.apache.hadoop.yarn.api.records.QueueState;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.server.resourcemanager.ClusterMetrics;
import org.apache.hadoop.yarn.server.resourcemanager.MockRM;
import org.apache.hadoop.yarn.server.resourcemanager.RMContext;
@ -540,8 +541,12 @@ public void verifyClusterSchedulerFifoGeneric(String type, String state,
assertEquals("qstate doesn't match", QueueState.RUNNING.toString(), state);
assertEquals("capacity doesn't match", 1.0, capacity, 0.0);
assertEquals("usedCapacity doesn't match", 0.0, usedCapacity, 0.0);
assertEquals("minQueueMemoryCapacity doesn't match", 1024, minQueueCapacity);
assertEquals("maxQueueMemoryCapacity doesn't match", 10240,
assertEquals(
"minQueueMemoryCapacity doesn't match",
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
minQueueCapacity);
assertEquals("maxQueueMemoryCapacity doesn't match",
YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB,
maxQueueCapacity);
assertEquals("numNodes doesn't match", 0, numNodes);
assertEquals("usedNodeCapacity doesn't match", 0, usedNodeCapacity);

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@ -245,6 +245,14 @@ Hadoop MapReduce Next Generation - Cluster Setup
| | <<<ResourceManager>>> Scheduler class. | |
| | | <<<CapacityScheduler>>> (recommended) or <<<FifoScheduler>>> |
*-------------------------+-------------------------+------------------------+
| <<<yarn.scheduler.minimum-allocation-mb>>> | | |
| | Minimum limit of memory to allocate to each container request at the <<<Resource Manager>>>. | |
| | | In MBs |
*-------------------------+-------------------------+------------------------+
| <<<yarn.scheduler.maximum-allocation-mb>>> | | |
| | Maximum limit of memory to allocate to each container request at the <<<Resource Manager>>>. | |
| | | In MBs |
*-------------------------+-------------------------+------------------------+
| <<<yarn.resourcemanager.nodes.include-path>>> / | | |
| <<<yarn.resourcemanager.nodes.exclude-path>>> | | |
| | List of permitted/excluded NodeManagers. | |