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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.server.resourcemanager.resource;
import org.apache.hadoop.yarn.api.records.Resource;
public class DefaultResourceCalculator extends ResourceCalculator {
Resource clusterResource;
@Override
public int compare(Resource unused, Resource lhs, Resource rhs) {
// Only consider memory
return lhs.getMemory() - rhs.getMemory();
}
@Override
public int computeAvailableContainers(Resource available, Resource required) {
// Only consider memory
return available.getMemory() / required.getMemory();
}
@Override
public float divide(Resource unused,
Resource numerator, Resource denominator) {
return ratio(numerator, denominator);
}
@Override
public float ratio(Resource a, Resource b) {
return (float)a.getMemory() / b.getMemory();
}
@Override
public Resource divideAndCeil(Resource numerator, int denominator) {
return Resources.createResource(
divideAndCeil(numerator.getMemory(), denominator));
}
@Override
public Resource normalize(Resource r, Resource minimumResource) {
return Resources.createResource(
roundUp(
Math.max(r.getMemory(), minimumResource.getMemory()),
minimumResource.getMemory())
);
}
@Override
public Resource roundUp(Resource r, Resource minimumResource) {
return Resources.createResource(
roundUp(r.getMemory(),minimumResource.getMemory())
);
}
@Override
public Resource roundDown(Resource r, Resource stepFactor) {
return Resources.createResource(
roundDown(r.getMemory(), stepFactor.getMemory()));
}
@Override
public Resource multiplyAndNormalizeUp(Resource r, double by,
Resource stepFactor) {
return Resources.createResource(
roundUp((int)(r.getMemory() * by + 0.5), stepFactor.getMemory())
);
}
@Override
public Resource multiplyAndNormalizeDown(Resource r, double by,
Resource stepFactor) {
return Resources.createResource(
roundDown(
(int)(r.getMemory() * by),
stepFactor.getMemory()
)
);
}
}