Apache
/
hadoop
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

YARN-8833. Avoid potential integer overflow when computing fair shares. Contributed by liyakun.

This commit is contained in:
Weiwei Yang 2018-11-18 23:18:26 +08:00
parent e56d9f2618
commit d027a24f03
2 changed files with 26 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/policies/ComputeFairShares.java
View File

@ -145,7 +145,7 @@ public class ComputeFairShares {
double right = rMax;
for (int i = 0; i < COMPUTE_FAIR_SHARES_ITERATIONS; i++) {
double mid = (left + right) / 2.0;
int plannedResourceUsed = resourceUsedWithWeightToResourceRatio(
long plannedResourceUsed = resourceUsedWithWeightToResourceRatio(
mid, schedulables, type);
if (plannedResourceUsed == totalResource) {
right = mid;
@ -174,11 +174,14 @@ public class ComputeFairShares {
* Compute the resources that would be used given a weight-to-resource ratio
* w2rRatio, for use in the computeFairShares algorithm as described in #
*/
private static int resourceUsedWithWeightToResourceRatio(double w2rRatio,
private static long resourceUsedWithWeightToResourceRatio(double w2rRatio,
Collection<? extends Schedulable> schedulables, String type) {
int resourcesTaken = 0;
long resourcesTaken = 0;
for (Schedulable sched : schedulables) {
int share = computeShare(sched, w2rRatio, type);
long share = computeShare(sched, w2rRatio, type);
if (Long.MAX_VALUE - resourcesTaken < share) {
return Long.MAX_VALUE;
}
resourcesTaken += share;
}
return resourcesTaken;
@ -188,12 +191,12 @@ public class ComputeFairShares {
* Compute the resources assigned to a Schedulable given a particular
* weight-to-resource ratio w2rRatio.
*/
private static int computeShare(Schedulable sched, double w2rRatio,
private static long computeShare(Schedulable sched, double w2rRatio,
String type) {
double share = sched.getWeight() * w2rRatio;
share = Math.max(share, sched.getMinShare().getResourceValue(type));
share = Math.min(share, sched.getMaxShare().getResourceValue(type));
return (int) share;
return (long) share;
}
/**

17
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestComputeFairShares.java
View File

@ -19,7 +19,10 @@
package org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.api.records.ResourceInformation;
import org.junit.Assert;
@ -205,4 +208,18 @@ public class TestComputeFairShares {
Assert.assertEquals(shares[i], scheds.get(i).getFairShare().getVirtualCores());
}
}
/**
* Test computeShares will not enter into infinite loop.
*/
@Test(timeout = 10000)
public void testResourceUsedWithWeightToResourceRatio() {
Collection<Schedulable> schedulables = new ArrayList<>();
schedulables.add(new FakeSchedulable(Integer.MAX_VALUE));
schedulables.add(new FakeSchedulable(Integer.MAX_VALUE));
Resource totalResource = Resource.newInstance(Integer.MAX_VALUE, 0);
ComputeFairShares.computeShares(
schedulables, totalResource, ResourceInformation.MEMORY_URI);
}
}