Deleting files missed for YARN-827
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1495633 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Bikas Saha
parent
5f9b4c14a1
commit
ba44df9166
@ -1,104 +0,0 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
|
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* to you under the Apache License, Version 2.0 (the
|
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.yarn.server.resourcemanager.resource;
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import org.apache.hadoop.yarn.api.records.Resource;
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public class DefaultResourceCalculator extends ResourceCalculator {
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Resource clusterResource;
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@Override
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public int compare(Resource unused, Resource lhs, Resource rhs) {
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// Only consider memory
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return lhs.getMemory() - rhs.getMemory();
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}
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@Override
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public int computeAvailableContainers(Resource available, Resource required) {
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// Only consider memory
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return available.getMemory() / required.getMemory();
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}
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@Override
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public float divide(Resource unused,
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Resource numerator, Resource denominator) {
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return ratio(numerator, denominator);
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}
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@Override
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public float ratio(Resource a, Resource b) {
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return (float)a.getMemory() / b.getMemory();
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}
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@Override
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public Resource divideAndCeil(Resource numerator, int denominator) {
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return Resources.createResource(
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divideAndCeil(numerator.getMemory(), denominator));
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}
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@Override
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public Resource normalize(Resource r, Resource minimumResource,
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Resource maximumResource, Resource stepFactor) {
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int normalizedMemory = Math.min(
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roundUp(
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Math.max(r.getMemory(), minimumResource.getMemory()),
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stepFactor.getMemory()),
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maximumResource.getMemory());
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return Resources.createResource(normalizedMemory);
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}
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@Override
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public Resource normalize(Resource r, Resource minimumResource,
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Resource maximumResource) {
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return normalize(r, minimumResource, maximumResource, minimumResource);
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}
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@Override
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public Resource roundUp(Resource r, Resource stepFactor) {
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return Resources.createResource(
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roundUp(r.getMemory(), stepFactor.getMemory())
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);
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}
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@Override
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public Resource roundDown(Resource r, Resource stepFactor) {
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return Resources.createResource(
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roundDown(r.getMemory(), stepFactor.getMemory()));
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}
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@Override
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public Resource multiplyAndNormalizeUp(Resource r, double by,
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Resource stepFactor) {
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return Resources.createResource(
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roundUp((int)(r.getMemory() * by + 0.5), stepFactor.getMemory())
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);
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}
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@Override
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public Resource multiplyAndNormalizeDown(Resource r, double by,
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Resource stepFactor) {
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return Resources.createResource(
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roundDown(
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(int)(r.getMemory() * by),
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stepFactor.getMemory()
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)
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);
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}
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}
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@ -1,185 +0,0 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.yarn.server.resourcemanager.resource;
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import org.apache.hadoop.yarn.api.records.Resource;
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/**
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* A {@link ResourceCalculator} which uses the concept of
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* <em>dominant resource</em> to compare multi-dimensional resources.
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*
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* Essentially the idea is that the in a multi-resource environment,
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* the resource allocation should be determined by the dominant share
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* of an entity (user or queue), which is the maximum share that the
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* entity has been allocated of any resource.
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*
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* In a nutshell, it seeks to maximize the minimum dominant share across
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* all entities.
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*
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* For example, if user A runs CPU-heavy tasks and user B runs
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* memory-heavy tasks, it attempts to equalize CPU share of user A
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* with Memory-share of user B.
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*
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* In the single resource case, it reduces to max-min fairness for that resource.
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*
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* See the Dominant Resource Fairness paper for more details:
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* www.cs.berkeley.edu/~matei/papers/2011/nsdi_drf.pdf
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*/
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public class DominantResourceCalculator extends ResourceCalculator {
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@Override
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public int compare(Resource clusterResource, Resource lhs, Resource rhs) {
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if (lhs.equals(rhs)) {
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return 0;
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}
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float l = getResourceAsValue(clusterResource, lhs, true);
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float r = getResourceAsValue(clusterResource, rhs, true);
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if (l < r) {
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return -1;
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} else if (l > r) {
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return 1;
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} else {
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l = getResourceAsValue(clusterResource, lhs, false);
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r = getResourceAsValue(clusterResource, rhs, false);
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if (l < r) {
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return -1;
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} else if (l > r) {
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return 1;
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}
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}
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return 0;
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}
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/**
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* Use 'dominant' for now since we only have 2 resources - gives us a slight
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* performance boost.
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*
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* Once we add more resources, we'll need a more complicated (and slightly
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* less performant algorithm).
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*/
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protected float getResourceAsValue(
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Resource clusterResource, Resource resource, boolean dominant) {
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// Just use 'dominant' resource
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return (dominant) ?
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Math.max(
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(float)resource.getMemory() / clusterResource.getMemory(),
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(float)resource.getVirtualCores() / clusterResource.getVirtualCores()
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)
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:
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Math.min(
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(float)resource.getMemory() / clusterResource.getMemory(),
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(float)resource.getVirtualCores() / clusterResource.getVirtualCores()
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);
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}
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@Override
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public int computeAvailableContainers(Resource available, Resource required) {
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return Math.min(
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available.getMemory() / required.getMemory(),
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available.getVirtualCores() / required.getVirtualCores());
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}
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@Override
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public float divide(Resource clusterResource,
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Resource numerator, Resource denominator) {
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return
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getResourceAsValue(clusterResource, numerator, true) /
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getResourceAsValue(clusterResource, denominator, true);
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}
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@Override
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public float ratio(Resource a, Resource b) {
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return Math.max(
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(float)a.getMemory()/b.getMemory(),
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(float)a.getVirtualCores()/b.getVirtualCores()
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);
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}
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@Override
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public Resource divideAndCeil(Resource numerator, int denominator) {
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return Resources.createResource(
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divideAndCeil(numerator.getMemory(), denominator),
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divideAndCeil(numerator.getVirtualCores(), denominator)
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);
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}
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@Override
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public Resource normalize(Resource r, Resource minimumResource,
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Resource maximumResource, Resource stepFactor) {
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int normalizedMemory = Math.min(
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roundUp(
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Math.max(r.getMemory(), minimumResource.getMemory()),
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stepFactor.getMemory()),
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maximumResource.getMemory());
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int normalizedCores = Math.min(
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roundUp(
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Math.max(r.getVirtualCores(), minimumResource.getVirtualCores()),
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stepFactor.getVirtualCores()),
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maximumResource.getVirtualCores());
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return Resources.createResource(normalizedMemory,
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normalizedCores);
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}
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@Override
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public Resource roundUp(Resource r, Resource stepFactor) {
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return Resources.createResource(
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roundUp(r.getMemory(), stepFactor.getMemory()),
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roundUp(r.getVirtualCores(), stepFactor.getVirtualCores())
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);
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}
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@Override
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public Resource roundDown(Resource r, Resource stepFactor) {
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return Resources.createResource(
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roundDown(r.getMemory(), stepFactor.getMemory()),
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roundDown(r.getVirtualCores(), stepFactor.getVirtualCores())
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);
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}
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@Override
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public Resource multiplyAndNormalizeUp(Resource r, double by,
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Resource stepFactor) {
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return Resources.createResource(
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roundUp(
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(int)Math.ceil(r.getMemory() * by), stepFactor.getMemory()),
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roundUp(
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(int)Math.ceil(r.getVirtualCores() * by),
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stepFactor.getVirtualCores())
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);
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}
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@Override
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public Resource multiplyAndNormalizeDown(Resource r, double by,
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Resource stepFactor) {
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return Resources.createResource(
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roundDown(
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(int)(r.getMemory() * by),
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stepFactor.getMemory()
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),
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roundDown(
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(int)(r.getVirtualCores() * by),
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stepFactor.getVirtualCores()
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)
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);
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}
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}
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@ -1,170 +0,0 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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||||
* regarding copyright ownership. The ASF licenses this file
|
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* to you under the Apache License, Version 2.0 (the
|
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
|
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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* See the License for the specific language governing permissions and
|
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* limitations under the License.
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*/
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package org.apache.hadoop.yarn.server.resourcemanager.resource;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.classification.InterfaceAudience.Private;
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import org.apache.hadoop.classification.InterfaceStability.Unstable;
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import org.apache.hadoop.yarn.api.records.Resource;
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/**
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* A set of {@link Resource} comparison and manipulation interfaces.
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*/
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@Private
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@Unstable
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public abstract class ResourceCalculator {
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private static final Log LOG = LogFactory.getLog(ResourceCalculator.class);
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public abstract int
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compare(Resource clusterResource, Resource lhs, Resource rhs);
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public static int divideAndCeil(int a, int b) {
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if (b == 0) {
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LOG.info("divideAndCeil called with a=" + a + " b=" + b);
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return 0;
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}
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return (a + (b - 1)) / b;
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}
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public static int roundUp(int a, int b) {
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return divideAndCeil(a, b) * b;
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}
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public static int roundDown(int a, int b) {
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return (a / b) * b;
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}
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/**
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* Compute the number of containers which can be allocated given
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* <code>available</code> and <code>required</code> resources.
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*
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* @param available available resources
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* @param required required resources
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* @return number of containers which can be allocated
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*/
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public abstract int computeAvailableContainers(
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Resource available, Resource required);
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/**
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* Multiply resource <code>r</code> by factor <code>by</code>
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* and normalize up using step-factor <code>stepFactor</code>.
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*
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* @param r resource to be multiplied
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* @param by multiplier
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* @param stepFactor factor by which to normalize up
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* @return resulting normalized resource
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*/
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public abstract Resource multiplyAndNormalizeUp(
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Resource r, double by, Resource stepFactor);
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/**
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* Multiply resource <code>r</code> by factor <code>by</code>
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* and normalize down using step-factor <code>stepFactor</code>.
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*
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* @param r resource to be multiplied
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* @param by multiplier
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* @param stepFactor factor by which to normalize down
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* @return resulting normalized resource
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*/
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public abstract Resource multiplyAndNormalizeDown(
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Resource r, double by, Resource stepFactor);
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/**
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* Normalize resource <code>r</code> given the base
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* <code>minimumResource</code> and verify against max allowed
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* <code>maximumResource</code>
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*
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* @param r resource
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* @param minimumResource step-factor
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* @param maximumResource the upper bound of the resource to be allocated
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* @return normalized resource
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*/
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public Resource normalize(Resource r, Resource minimumResource,
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Resource maximumResource) {
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return normalize(r, minimumResource, maximumResource, minimumResource);
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}
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/**
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* Normalize resource <code>r</code> given the base
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* <code>minimumResource</code> and verify against max allowed
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* <code>maximumResource</code> using a step factor for hte normalization.
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*
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* @param r resource
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* @param minimumResource minimum value
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* @param maximumResource the upper bound of the resource to be allocated
|
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* @param stepFactor the increment for resources to be allocated
|
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* @return normalized resource
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*/
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public abstract Resource normalize(Resource r, Resource minimumResource,
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Resource maximumResource,
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Resource stepFactor);
|
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|
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|
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/**
|
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* Round-up resource <code>r</code> given factor <code>stepFactor</code>.
|
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*
|
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* @param r resource
|
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* @param stepFactor step-factor
|
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* @return rounded resource
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*/
|
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public abstract Resource roundUp(Resource r, Resource stepFactor);
|
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|
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/**
|
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* Round-down resource <code>r</code> given factor <code>stepFactor</code>.
|
||||
*
|
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* @param r resource
|
||||
* @param stepFactor step-factor
|
||||
* @return rounded resource
|
||||
*/
|
||||
public abstract Resource roundDown(Resource r, Resource stepFactor);
|
||||
|
||||
/**
|
||||
* Divide resource <code>numerator</code> by resource <code>denominator</code>
|
||||
* using specified policy (domination, average, fairness etc.); hence overall
|
||||
* <code>clusterResource</code> is provided for context.
|
||||
*
|
||||
* @param clusterResource cluster resources
|
||||
* @param numerator numerator
|
||||
* @param denominator denominator
|
||||
* @return <code>numerator</code>/<code>denominator</code>
|
||||
* using specific policy
|
||||
*/
|
||||
public abstract float divide(
|
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Resource clusterResource, Resource numerator, Resource denominator);
|
||||
|
||||
/**
|
||||
* Ratio of resource <code>a</code> to resource <code>b</code>.
|
||||
*
|
||||
* @param a resource
|
||||
* @param b resource
|
||||
* @return ratio of resource <code>a</code> to resource <code>b</code>
|
||||
*/
|
||||
public abstract float ratio(Resource a, Resource b);
|
||||
|
||||
/**
|
||||
* Divide-and-ceil <code>numerator</code> by <code>denominator</code>.
|
||||
*
|
||||
* @param numerator numerator resource
|
||||
* @param denominator denominator
|
||||
* @return resultant resource
|
||||
*/
|
||||
public abstract Resource divideAndCeil(Resource numerator, int denominator);
|
||||
|
||||
}
|
||||
@ -1,221 +0,0 @@
|
||||
/**
|
||||
* 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.classification.InterfaceAudience.Private;
|
||||
import org.apache.hadoop.classification.InterfaceStability.Evolving;
|
||||
import org.apache.hadoop.yarn.api.records.Resource;
|
||||
import org.apache.hadoop.yarn.util.Records;
|
||||
|
||||
@Private
|
||||
@Evolving
|
||||
public class Resources {
|
||||
|
||||
// Java doesn't have const :(
|
||||
private static final Resource NONE = new Resource() {
|
||||
|
||||
@Override
|
||||
public int getMemory() {
|
||||
return 0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setMemory(int memory) {
|
||||
throw new RuntimeException("NONE cannot be modified!");
|
||||
}
|
||||
|
||||
@Override
|
||||
public int getVirtualCores() {
|
||||
return 0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setVirtualCores(int cores) {
|
||||
throw new RuntimeException("NONE cannot be modified!");
|
||||
}
|
||||
|
||||
@Override
|
||||
public int compareTo(Resource o) {
|
||||
int diff = 0 - o.getMemory();
|
||||
if (diff == 0) {
|
||||
diff = 0 - o.getVirtualCores();
|
||||
}
|
||||
return diff;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
public static Resource createResource(int memory) {
|
||||
return createResource(memory, (memory > 0) ? 1 : 0);
|
||||
}
|
||||
|
||||
public static Resource createResource(int memory, int cores) {
|
||||
Resource resource = Records.newRecord(Resource.class);
|
||||
resource.setMemory(memory);
|
||||
resource.setVirtualCores(cores);
|
||||
return resource;
|
||||
}
|
||||
|
||||
public static Resource none() {
|
||||
return NONE;
|
||||
}
|
||||
|
||||
public static Resource clone(Resource res) {
|
||||
return createResource(res.getMemory(), res.getVirtualCores());
|
||||
}
|
||||
|
||||
public static Resource addTo(Resource lhs, Resource rhs) {
|
||||
lhs.setMemory(lhs.getMemory() + rhs.getMemory());
|
||||
lhs.setVirtualCores(lhs.getVirtualCores() + rhs.getVirtualCores());
|
||||
return lhs;
|
||||
}
|
||||
|
||||
public static Resource add(Resource lhs, Resource rhs) {
|
||||
return addTo(clone(lhs), rhs);
|
||||
}
|
||||
|
||||
public static Resource subtractFrom(Resource lhs, Resource rhs) {
|
||||
lhs.setMemory(lhs.getMemory() - rhs.getMemory());
|
||||
lhs.setVirtualCores(lhs.getVirtualCores() - rhs.getVirtualCores());
|
||||
return lhs;
|
||||
}
|
||||
|
||||
public static Resource subtract(Resource lhs, Resource rhs) {
|
||||
return subtractFrom(clone(lhs), rhs);
|
||||
}
|
||||
|
||||
public static Resource negate(Resource resource) {
|
||||
return subtract(NONE, resource);
|
||||
}
|
||||
|
||||
public static Resource multiplyTo(Resource lhs, double by) {
|
||||
lhs.setMemory((int)(lhs.getMemory() * by));
|
||||
lhs.setVirtualCores((int)(lhs.getVirtualCores() * by));
|
||||
return lhs;
|
||||
}
|
||||
|
||||
public static Resource multiply(Resource lhs, double by) {
|
||||
return multiplyTo(clone(lhs), by);
|
||||
}
|
||||
|
||||
public static Resource multiplyAndNormalizeUp(
|
||||
ResourceCalculator calculator,Resource lhs, double by, Resource factor) {
|
||||
return calculator.multiplyAndNormalizeUp(lhs, by, factor);
|
||||
}
|
||||
|
||||
public static Resource multiplyAndNormalizeDown(
|
||||
ResourceCalculator calculator,Resource lhs, double by, Resource factor) {
|
||||
return calculator.multiplyAndNormalizeDown(lhs, by, factor);
|
||||
}
|
||||
|
||||
public static Resource multiplyAndRoundDown(Resource lhs, double by) {
|
||||
Resource out = clone(lhs);
|
||||
out.setMemory((int)(lhs.getMemory() * by));
|
||||
out.setVirtualCores((int)(lhs.getVirtualCores() * by));
|
||||
return out;
|
||||
}
|
||||
|
||||
public static Resource normalize(
|
||||
ResourceCalculator calculator, Resource lhs, Resource min,
|
||||
Resource max, Resource increment) {
|
||||
return calculator.normalize(lhs, min, max, increment);
|
||||
}
|
||||
|
||||
public static Resource roundUp(
|
||||
ResourceCalculator calculator, Resource lhs, Resource factor) {
|
||||
return calculator.roundUp(lhs, factor);
|
||||
}
|
||||
|
||||
public static Resource roundDown(
|
||||
ResourceCalculator calculator, Resource lhs, Resource factor) {
|
||||
return calculator.roundDown(lhs, factor);
|
||||
}
|
||||
|
||||
public static float ratio(
|
||||
ResourceCalculator resourceCalculator, Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.ratio(lhs, rhs);
|
||||
}
|
||||
|
||||
public static float divide(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource, Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.divide(clusterResource, lhs, rhs);
|
||||
}
|
||||
|
||||
public static Resource divideAndCeil(
|
||||
ResourceCalculator resourceCalculator, Resource lhs, int rhs) {
|
||||
return resourceCalculator.divideAndCeil(lhs, rhs);
|
||||
}
|
||||
|
||||
public static boolean equals(Resource lhs, Resource rhs) {
|
||||
return lhs.equals(rhs);
|
||||
}
|
||||
|
||||
public static boolean lessThan(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return (resourceCalculator.compare(clusterResource, lhs, rhs) < 0);
|
||||
}
|
||||
|
||||
public static boolean lessThanOrEqual(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return (resourceCalculator.compare(clusterResource, lhs, rhs) <= 0);
|
||||
}
|
||||
|
||||
public static boolean greaterThan(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.compare(clusterResource, lhs, rhs) > 0;
|
||||
}
|
||||
|
||||
public static boolean greaterThanOrEqual(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.compare(clusterResource, lhs, rhs) >= 0;
|
||||
}
|
||||
|
||||
public static Resource min(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.compare(clusterResource, lhs, rhs) <= 0 ? lhs : rhs;
|
||||
}
|
||||
|
||||
public static Resource max(
|
||||
ResourceCalculator resourceCalculator,
|
||||
Resource clusterResource,
|
||||
Resource lhs, Resource rhs) {
|
||||
return resourceCalculator.compare(clusterResource, lhs, rhs) >= 0 ? lhs : rhs;
|
||||
}
|
||||
|
||||
public static boolean fitsIn(Resource smaller, Resource bigger) {
|
||||
return smaller.getMemory() <= bigger.getMemory() &&
|
||||
smaller.getVirtualCores() <= bigger.getVirtualCores();
|
||||
}
|
||||
|
||||
public static Resource componentwiseMin(Resource lhs, Resource rhs) {
|
||||
return createResource(Math.min(lhs.getMemory(), rhs.getMemory()),
|
||||
Math.min(lhs.getVirtualCores(), rhs.getVirtualCores()));
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user