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YARN-7948. Enable fair scheduler to refresh maximum allocation for multiple resource types. (Szilard Nemeth via Haibo Chen)

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This commit is contained in:
Haibo Chen 2018-08-02 10:10:12 -07:00
parent 12a095a496
commit 889df6f194
2 changed files with 135 additions and 1 deletions
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9
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairScheduler.java
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@ -95,6 +95,7 @@
import org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator;
import org.apache.hadoop.yarn.util.resource.DominantResourceCalculator;
import org.apache.hadoop.yarn.util.resource.ResourceCalculator;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.apache.hadoop.yarn.util.resource.Resources;
import java.io.IOException;
@ -1421,7 +1422,7 @@ private void initScheduler(Configuration conf) throws IOException {
}
if (continuousSchedulingEnabled) {
// Contiuous scheduling is deprecated log it on startup
// Continuous scheduling is deprecated log it on startup
LOG.warn("Continuous scheduling is turned ON. It is deprecated " +
"because it can cause scheduler slowness due to locking issues. " +
"Schedulers should use assignmultiple as a replacement.");
@ -1534,6 +1535,12 @@ public void reinitialize(Configuration conf, RMContext rmContext)
} catch (Exception e) {
LOG.error("Failed to reload allocations file", e);
}
try {
refreshMaximumAllocation(
ResourceUtils.fetchMaximumAllocationFromConfig(conf));
} catch (Exception e) {
LOG.error("Failed to refresh maximum allocation", e);
}
}
@Override

127
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestFairSchedulerWithMultiResourceTypes.java Normal file
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@ -0,0 +1,127 @@
/*
* 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.hadoop.yarn.server.resourcemanager.scheduler.fair;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.yarn.api.protocolrecords.ResourceTypes;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceInformation;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.util.resource.ResourceUtils;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import static org.apache.hadoop.yarn.util.resource.ResourceUtils.MAXIMUM_ALLOCATION;
import static org.apache.hadoop.yarn.util.resource.ResourceUtils.UNITS;
import static org.junit.Assert.assertEquals;
public class TestFairSchedulerWithMultiResourceTypes
extends FairSchedulerTestBase {
private static final String CUSTOM_RESOURCE = "custom-resource";
@Before
public void setUp() throws IOException {
scheduler = new FairScheduler();
conf = createConfiguration();
initResourceTypes(conf);
}
@After
public void tearDown() {
if (scheduler != null) {
scheduler.stop();
scheduler = null;
}
}
private Configuration initResourceTypes(Configuration conf) {
Map<String, ResourceInformation> riMap = new HashMap<>();
// Initialize mandatory resources
ResourceInformation memory =
ResourceInformation.newInstance(ResourceInformation.MEMORY_MB.getName(),
ResourceInformation.MEMORY_MB.getUnits(),
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_MB);
ResourceInformation vcores =
ResourceInformation.newInstance(ResourceInformation.VCORES.getName(),
ResourceInformation.VCORES.getUnits(),
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_VCORES,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MAXIMUM_ALLOCATION_VCORES);
riMap.put(ResourceInformation.MEMORY_URI, memory);
riMap.put(ResourceInformation.VCORES_URI, vcores);
riMap.put(CUSTOM_RESOURCE, ResourceInformation.newInstance(CUSTOM_RESOURCE,
"", 0, ResourceTypes.COUNTABLE, 0, 3333L));
ResourceUtils.initializeResourcesFromResourceInformationMap(riMap);
return conf;
}
@Test
public void testMaximumAllocationRefresh() throws IOException {
conf.set(YarnConfiguration.RESOURCE_TYPES, CUSTOM_RESOURCE);
conf.set(YarnConfiguration.RESOURCE_TYPES + "." + CUSTOM_RESOURCE + UNITS,
"k");
conf.setInt(YarnConfiguration.RESOURCE_TYPES + "." + CUSTOM_RESOURCE
+ MAXIMUM_ALLOCATION, 10000);
conf.setInt(YarnConfiguration.RESOURCE_TYPES + "."
+ ResourceInformation.VCORES.getName() + MAXIMUM_ALLOCATION, 4);
conf.setInt(
YarnConfiguration.RESOURCE_TYPES + "."
+ ResourceInformation.MEMORY_MB.getName() + MAXIMUM_ALLOCATION,
512);
scheduler.init(conf);
scheduler.reinitialize(conf, null);
Resource maxAllowedAllocation =
scheduler.getNodeTracker().getMaxAllowedAllocation();
ResourceInformation customResource =
maxAllowedAllocation.getResourceInformation(CUSTOM_RESOURCE);
assertEquals(512, maxAllowedAllocation.getMemorySize());
assertEquals(4, maxAllowedAllocation.getVirtualCores());
assertEquals(10000, customResource.getValue());
conf = new YarnConfiguration();
conf.set(YarnConfiguration.RESOURCE_TYPES, CUSTOM_RESOURCE);
conf.set(YarnConfiguration.RESOURCE_TYPES + "." + CUSTOM_RESOURCE + UNITS,
"k");
conf.setInt(YarnConfiguration.RESOURCE_TYPES + "." + CUSTOM_RESOURCE
+ MAXIMUM_ALLOCATION, 20000);
conf.setInt(YarnConfiguration.RESOURCE_TYPES + "."
+ ResourceInformation.VCORES.getName() + MAXIMUM_ALLOCATION, 8);
conf.setInt(
YarnConfiguration.RESOURCE_TYPES + "."
+ ResourceInformation.MEMORY_MB.getName() + MAXIMUM_ALLOCATION,
2048);
scheduler.reinitialize(conf, null);
maxAllowedAllocation = scheduler.getNodeTracker().getMaxAllowedAllocation();
customResource =
maxAllowedAllocation.getResourceInformation(CUSTOM_RESOURCE);
assertEquals(2048, maxAllowedAllocation.getMemorySize());
assertEquals(8, maxAllowedAllocation.getVirtualCores());
assertEquals(20000, customResource.getValue());
}
}