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YARN-6307. Refactor FairShareComparator#compare (Contributed by Yufei Gu via Daniel Templeton)

This commit is contained in:
Daniel Templeton 2017-07-25 13:00:31 -07:00
parent ac9489f7fc
commit f81a4efb8c
1 changed files with 81 additions and 44 deletions
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125
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/policies/FairSharePolicy.java
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@ -56,24 +56,28 @@ public class FairSharePolicy extends SchedulingPolicy {
}
/**
* Compare Schedulables via weighted fair sharing. In addition, Schedulables
* below their min share get priority over those whose min share is met.
* Compare Schedulables mainly via fair share usage to meet fairness.
* Specifically, it goes through following four steps.
*
* Schedulables without resource demand get lower priority than
* ones who have demands.
* 1. Compare demands. Schedulables without resource demand get lower priority
* than ones who have demands.
*
* Schedulables below their min share are compared by how far below it they
* are as a ratio. For example, if job A has 8 out of a min share of 10 tasks
* and job B has 50 out of a min share of 100, then job B is scheduled next,
* because B is at 50% of its min share and A is at 80% of its min share.
* 2. Compare min share usage. Schedulables below their min share are compared
* by how far below it they are as a ratio. For example, if job A has 8 out
* of a min share of 10 tasks and job B has 50 out of a min share of 100,
* then job B is scheduled next, because B is at 50% of its min share and A
* is at 80% of its min share.
*
* Schedulables above their min share are compared by (runningTasks / weight).
* 3. Compare fair share usage. Schedulables above their min share are
* compared by fair share usage by checking (resource usage / weight).
* If all weights are equal, slots are given to the job with the fewest tasks;
* otherwise, jobs with more weight get proportionally more slots. If weight
* equals to 0, we can't compare Schedulables by (resource usage/weight).
* There are two situations: 1)All weights equal to 0, slots are given
* to one with less resource usage. 2)Only one of weight equals to 0, slots
* are given to the one with non-zero weight.
*
* 4. Break the tie by compare submit time and job name.
*/
private static class FairShareComparator implements Comparator<Schedulable>,
Serializable {
@ -82,37 +86,88 @@ public class FairSharePolicy extends SchedulingPolicy {
@Override
public int compare(Schedulable s1, Schedulable s2) {
int res = compareDemand(s1, s2);
// Pre-compute resource usages to avoid duplicate calculation
Resource resourceUsage1 = s1.getResourceUsage();
Resource resourceUsage2 = s2.getResourceUsage();
if (res == 0) {
res = compareMinShareUsage(s1, s2, resourceUsage1, resourceUsage2);
}
if (res == 0) {
res = compareFairShareUsage(s1, s2, resourceUsage1, resourceUsage2);
}
// Break the tie by submit time
if (res == 0) {
res = (int) Math.signum(s1.getStartTime() - s2.getStartTime());
}
// Break the tie by job name
if (res == 0) {
res = s1.getName().compareTo(s2.getName());
}
return res;
}
private int compareDemand(Schedulable s1, Schedulable s2) {
int res = 0;
Resource demand1 = s1.getDemand();
Resource demand2 = s2.getDemand();
if (demand1.equals(Resources.none()) && Resources.greaterThan(
RESOURCE_CALCULATOR, null, demand2, Resources.none())) {
return 1;
res = 1;
} else if (demand2.equals(Resources.none()) && Resources.greaterThan(
RESOURCE_CALCULATOR, null, demand1, Resources.none())) {
return -1;
res = -1;
}
return res;
}
double minShareRatio1, minShareRatio2;
double useToWeightRatio1, useToWeightRatio2;
double weight1, weight2;
//Do not repeat the getResourceUsage calculation
Resource resourceUsage1 = s1.getResourceUsage();
Resource resourceUsage2 = s2.getResourceUsage();
private int compareMinShareUsage(Schedulable s1, Schedulable s2,
Resource resourceUsage1, Resource resourceUsage2) {
int res;
Resource minShare1 = Resources.min(RESOURCE_CALCULATOR, null,
s1.getMinShare(), demand1);
s1.getMinShare(), s1.getDemand());
Resource minShare2 = Resources.min(RESOURCE_CALCULATOR, null,
s2.getMinShare(), demand2);
s2.getMinShare(), s2.getDemand());
boolean s1Needy = Resources.lessThan(RESOURCE_CALCULATOR, null,
resourceUsage1, minShare1);
boolean s2Needy = Resources.lessThan(RESOURCE_CALCULATOR, null,
resourceUsage2, minShare2);
minShareRatio1 = (double) resourceUsage1.getMemorySize()
/ Resources.max(RESOURCE_CALCULATOR, null, minShare1, ONE).getMemorySize();
minShareRatio2 = (double) resourceUsage2.getMemorySize()
/ Resources.max(RESOURCE_CALCULATOR, null, minShare2, ONE).getMemorySize();
weight1 = s1.getWeights().getWeight(ResourceType.MEMORY);
weight2 = s2.getWeights().getWeight(ResourceType.MEMORY);
if (s1Needy && !s2Needy) {
res = -1;
} else if (s2Needy && !s1Needy) {
res = 1;
} else if (s1Needy && s2Needy) {
double minShareRatio1 = (double) resourceUsage1.getMemorySize() /
Resources.max(RESOURCE_CALCULATOR, null, minShare1, ONE)
.getMemorySize();
double minShareRatio2 = (double) resourceUsage2.getMemorySize() /
Resources.max(RESOURCE_CALCULATOR, null, minShare2, ONE)
.getMemorySize();
res = (int) Math.signum(minShareRatio1 - minShareRatio2);
} else {
res = 0;
}
return res;
}
/**
* To simplify computation, use weights instead of fair shares to calculate
* fair share usage.
*/
private int compareFairShareUsage(Schedulable s1, Schedulable s2,
Resource resourceUsage1, Resource resourceUsage2) {
double weight1 = s1.getWeights().getWeight(ResourceType.MEMORY);
double weight2 = s2.getWeights().getWeight(ResourceType.MEMORY);
double useToWeightRatio1;
double useToWeightRatio2;
if (weight1 > 0.0 && weight2 > 0.0) {
useToWeightRatio1 = resourceUsage1.getMemorySize() / weight1;
useToWeightRatio2 = resourceUsage2.getMemorySize() / weight2;
@ -130,25 +185,7 @@ public class FairSharePolicy extends SchedulingPolicy {
}
}
int res = 0;
if (s1Needy && !s2Needy)
res = -1;
else if (s2Needy && !s1Needy)
res = 1;
else if (s1Needy && s2Needy)
res = (int) Math.signum(minShareRatio1 - minShareRatio2);
else
// Neither schedulable is needy
res = (int) Math.signum(useToWeightRatio1 - useToWeightRatio2);
if (res == 0) {
// Apps are tied in fairness ratio. Break the tie by submit time and job
// name to get a deterministic ordering, which is useful for unit tests.
res = (int) Math.signum(s1.getStartTime() - s2.getStartTime());
if (res == 0) {
res = s1.getName().compareTo(s2.getName());
}
}
return res;
return (int) Math.signum(useToWeightRatio1 - useToWeightRatio2);
}
}