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/**
* 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.util.resource;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.classification.InterfaceAudience.Private;
import org.apache.hadoop.classification.InterfaceStability.Unstable;
import org.apache.hadoop.yarn.api.records.Resource;
@Private
@Unstable
public class DefaultResourceCalculator extends ResourceCalculator {
private static final Log LOG =
LogFactory.getLog(DefaultResourceCalculator.class);
@Override
public int compare(Resource unused, Resource lhs, Resource rhs,
boolean singleType) {
// Only consider memory
return Long.compare(lhs.getMemorySize(), rhs.getMemorySize());
}
@Override
public long computeAvailableContainers(Resource available, Resource required) {
// Only consider memory
return available.getMemorySize() / required.getMemorySize();
}
@Override
public float divide(Resource unused,
Resource numerator, Resource denominator) {
return ratio(numerator, denominator);
}
public boolean isInvalidDivisor(Resource r) {
if (r.getMemorySize() == 0.0f) {
return true;
}
return false;
}
@Override
public float ratio(Resource a, Resource b) {
return (float)a.getMemorySize() / b.getMemorySize();
}
@Override
public Resource divideAndCeil(Resource numerator, int denominator) {
return Resources.createResource(
divideAndCeil(numerator.getMemorySize(), denominator));
}
@Override
public Resource divideAndCeil(Resource numerator, float denominator) {
return Resources.createResource(
divideAndCeil(numerator.getMemorySize(), denominator));
}
@Override
public Resource normalize(Resource r, Resource minimumResource,
Resource maximumResource, Resource stepFactor) {
if (stepFactor.getMemorySize() == 0) {
LOG.error("Memory cannot be allocated in increments of zero. Assuming " +
minimumResource.getMemorySize() + "MB increment size. "
+ "Please ensure the scheduler configuration is correct.");
stepFactor = minimumResource;
}
long normalizedMemory = Math.min(
roundUp(
Math.max(r.getMemorySize(), minimumResource.getMemorySize()),
stepFactor.getMemorySize()),
maximumResource.getMemorySize());
return Resources.createResource(normalizedMemory);
}
@Override
public Resource roundUp(Resource r, Resource stepFactor) {
return Resources.createResource(
roundUp(r.getMemorySize(), stepFactor.getMemorySize())
);
}
@Override
public Resource roundDown(Resource r, Resource stepFactor) {
return Resources.createResource(
roundDown(r.getMemorySize(), stepFactor.getMemorySize()));
}
@Override
public Resource multiplyAndNormalizeUp(Resource r, double by,
Resource stepFactor) {
return Resources.createResource(
roundUp((long) (r.getMemorySize() * by + 0.5),
stepFactor.getMemorySize()));
}
@Override
public Resource multiplyAndNormalizeDown(Resource r, double by,
Resource stepFactor) {
return Resources.createResource(
roundDown(
(long)(r.getMemorySize() * by),
stepFactor.getMemorySize()
)
);
}
@Override
public boolean fitsIn(Resource cluster,
Resource smaller, Resource bigger) {
return smaller.getMemorySize() <= bigger.getMemorySize();
}
@Override
public boolean isAnyMajorResourceZero(Resource resource) {
return resource.getMemorySize() == 0f;
}
}