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YARN-6203: Occasional test failure in TestWeightedRandomRouterPolicy (curino) 

(cherry picked from commit 121d55bd29)
This commit is contained in:
Carlo Curino 2017-04-13 12:09:39 -07:00
parent e1da8f0667
commit c4bbdfeb66
1 changed files with 11 additions and 7 deletions
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18
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/test/java/org/apache/hadoop/yarn/server/federation/policies/router/TestWeightedRandomRouterPolicy.java
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@ -50,8 +50,9 @@ public void setUp() throws Exception {
Map<SubClusterIdInfo, Float> routerWeights = new HashMap<>();
Map<SubClusterIdInfo, Float> amrmWeights = new HashMap<>();
// simulate 20 subclusters with a 5% chance of being inactive
for (int i = 0; i < 20; i++) {
float numSubClusters = 20;
// simulate N subclusters each with a 5% chance of being inactive
for (int i = 0; i < numSubClusters; i++) {
SubClusterIdInfo sc = new SubClusterIdInfo("sc" + i);
// with 5% omit a subcluster
if (getRand().nextFloat() < 0.95f) {
@ -60,8 +61,12 @@ public void setUp() throws Exception {
when(sci.getSubClusterId()).thenReturn(sc.toId());
getActiveSubclusters().put(sc.toId(), sci);
}
// 5% chance we omit one of the weights
float weight = getRand().nextFloat();
// 80% of the weight is evenly spread, 20% is randomly generated
float weight =
(0.8f * 1f / numSubClusters) + (0.2f * getRand().nextFloat());
// also 5% chance we omit one of the weights
if (i <= 5 || getRand().nextFloat() > 0.05f) {
routerWeights.put(sc, weight);
amrmWeights.put(sc, weight);
@ -89,7 +94,7 @@ public void testClusterChosenWithRightProbability() throws YarnException {
counter.put(id.toId(), new AtomicLong(0));
}
float numberOfDraws = 100000;
float numberOfDraws = 10000;
for (float i = 0; i < numberOfDraws; i++) {
SubClusterId chosenId = ((FederationRouterPolicy) getPolicy())
@ -118,8 +123,7 @@ public void testClusterChosenWithRightProbability() throws YarnException {
Assert.assertTrue(
"Id " + counterEntry.getKey() + " Actual weight: " + actualWeight
+ " expected weight: " + expectedWeight,
expectedWeight == 0 || (actualWeight / expectedWeight) < 1.2
&& (actualWeight / expectedWeight) > 0.8);
Math.abs(actualWeight - expectedWeight) < 0.01);
} else {
Assert
.assertTrue(