|
@@ -0,0 +1,184 @@
|
|
|
+/**
|
|
|
+ * 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.scheduler.fair;
|
|
|
+
|
|
|
+import java.util.ArrayList;
|
|
|
+import java.util.List;
|
|
|
+
|
|
|
+import junit.framework.Assert;
|
|
|
+
|
|
|
+import org.apache.hadoop.yarn.server.resourcemanager.resource.Resources;
|
|
|
+import org.junit.Before;
|
|
|
+import org.junit.Test;
|
|
|
+
|
|
|
+/**
|
|
|
+ * Exercise the computeFairShares method in SchedulingAlgorithms.
|
|
|
+ */
|
|
|
+public class TestComputeFairShares {
|
|
|
+ private List<Schedulable> scheds;
|
|
|
+
|
|
|
+ @Before
|
|
|
+ public void setUp() throws Exception {
|
|
|
+ scheds = new ArrayList<Schedulable>();
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Basic test - pools with different demands that are all higher than their
|
|
|
+ * fair share (of 10 slots) should each get their fair share.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testEqualSharing() {
|
|
|
+ scheds.add(new FakeSchedulable(100));
|
|
|
+ scheds.add(new FakeSchedulable(50));
|
|
|
+ scheds.add(new FakeSchedulable(30));
|
|
|
+ scheds.add(new FakeSchedulable(20));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
|
|
|
+ verifyShares(10, 10, 10, 10);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * In this test, pool 4 has a smaller demand than the 40 / 4 = 10 slots that
|
|
|
+ * it would be assigned with equal sharing. It should only get the 3 slots
|
|
|
+ * it demands. The other pools must then split the remaining 37 slots, but
|
|
|
+ * pool 3, with 11 slots demanded, is now below its share of 37/3 ~= 12.3,
|
|
|
+ * so it only gets 11 slots. Pools 1 and 2 split the rest and get 13 each.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testLowDemands() {
|
|
|
+ scheds.add(new FakeSchedulable(100));
|
|
|
+ scheds.add(new FakeSchedulable(50));
|
|
|
+ scheds.add(new FakeSchedulable(11));
|
|
|
+ scheds.add(new FakeSchedulable(3));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
|
|
|
+ verifyShares(13, 13, 11, 3);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * In this test, some pools have minimum shares set. Pool 1 has a min share
|
|
|
+ * of 20 so it gets 20 slots. Pool 2 also has a min share of 20, but its
|
|
|
+ * demand is only 10 so it can only get 10 slots. The remaining pools have
|
|
|
+ * 10 slots to split between them. Pool 4 gets 3 slots because its demand is
|
|
|
+ * only 3, and pool 3 gets the remaining 7 slots. Pool 4 also had a min share
|
|
|
+ * of 2 slots but this should not affect the outcome.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testMinShares() {
|
|
|
+ scheds.add(new FakeSchedulable(100, 20));
|
|
|
+ scheds.add(new FakeSchedulable(10, 20));
|
|
|
+ scheds.add(new FakeSchedulable(10, 0));
|
|
|
+ scheds.add(new FakeSchedulable(3, 2));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
|
|
|
+ verifyShares(20, 10, 7, 3);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Basic test for weighted shares with no minimum shares and no low demands.
|
|
|
+ * Each pool should get slots in proportion to its weight.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testWeightedSharing() {
|
|
|
+ scheds.add(new FakeSchedulable(100, 0, 2.0));
|
|
|
+ scheds.add(new FakeSchedulable(50, 0, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(30, 0, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(20, 0, 0.5));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
|
|
|
+ verifyShares(20, 10, 10, 5);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Weighted sharing test where pools 1 and 2 are now given lower demands than
|
|
|
+ * above. Pool 1 stops at 10 slots, leaving 35. If the remaining pools split
|
|
|
+ * this into a 1:1:0.5 ratio, they would get 14:14:7 slots respectively, but
|
|
|
+ * pool 2's demand is only 11, so it only gets 11. The remaining 2 pools split
|
|
|
+ * the 24 slots left into a 1:0.5 ratio, getting 16 and 8 slots respectively.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testWeightedSharingWithLowDemands() {
|
|
|
+ scheds.add(new FakeSchedulable(10, 0, 2.0));
|
|
|
+ scheds.add(new FakeSchedulable(11, 0, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(30, 0, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(20, 0, 0.5));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
|
|
|
+ verifyShares(10, 11, 16, 8);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Weighted fair sharing test with min shares. As in the min share test above,
|
|
|
+ * pool 1 has a min share greater than its demand so it only gets its demand.
|
|
|
+ * Pool 3 has a min share of 15 even though its weight is very small, so it
|
|
|
+ * gets 15 slots. The remaining pools share the remaining 20 slots equally,
|
|
|
+ * getting 10 each. Pool 3's min share of 5 slots doesn't affect this.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testWeightedSharingWithMinShares() {
|
|
|
+ scheds.add(new FakeSchedulable(10, 20, 2.0));
|
|
|
+ scheds.add(new FakeSchedulable(11, 0, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(30, 5, 1.0));
|
|
|
+ scheds.add(new FakeSchedulable(20, 15, 0.5));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(45));
|
|
|
+ verifyShares(10, 10, 10, 15);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Test that shares are computed accurately even when the number of slots is
|
|
|
+ * very large.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testLargeShares() {
|
|
|
+ int million = 1000 * 1000;
|
|
|
+ scheds.add(new FakeSchedulable(100 * million));
|
|
|
+ scheds.add(new FakeSchedulable(50 * million));
|
|
|
+ scheds.add(new FakeSchedulable(30 * million));
|
|
|
+ scheds.add(new FakeSchedulable(20 * million));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40 * million));
|
|
|
+ verifyShares(10 * million, 10 * million, 10 * million, 10 * million);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Test that having a pool with 0 demand doesn't confuse the algorithm.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testZeroDemand() {
|
|
|
+ scheds.add(new FakeSchedulable(100));
|
|
|
+ scheds.add(new FakeSchedulable(50));
|
|
|
+ scheds.add(new FakeSchedulable(30));
|
|
|
+ scheds.add(new FakeSchedulable(0));
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(30));
|
|
|
+ verifyShares(10, 10, 10, 0);
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Test that being called on an empty list doesn't confuse the algorithm.
|
|
|
+ */
|
|
|
+ @Test
|
|
|
+ public void testEmptyList() {
|
|
|
+ SchedulingAlgorithms.computeFairShares(scheds, Resources.createResource(40));
|
|
|
+ verifyShares();
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * Check that a given list of shares have been assigned to this.scheds.
|
|
|
+ */
|
|
|
+ private void verifyShares(double... shares) {
|
|
|
+ Assert.assertEquals(scheds.size(), shares.length);
|
|
|
+ for (int i = 0; i < shares.length; i++) {
|
|
|
+ Assert.assertEquals(shares[i], scheds.get(i).getFairShare().getMemory(), 0.01);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|