/* * Copyright (c) 2008-2017, Hazelcast, Inc. All Rights Reserved. * * Licensed 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 com.hazelcast.cardinality; import com.hazelcast.test.HazelcastSerialClassRunner; import com.hazelcast.test.HazelcastTestSupport; import com.hazelcast.test.annotation.NightlyTest; import org.junit.Before; import org.junit.Test; import org.junit.experimental.categories.Category; import org.junit.runner.RunWith; import static org.junit.Assert.assertEquals; @RunWith(HazelcastSerialClassRunner.class) @Category(NightlyTest.class) public class CardinalityEstimatorStressTest extends HazelcastTestSupport { private CardinalityEstimator estimator; @Before public void setup() { estimator = createHazelcastInstance().getCardinalityEstimator("StressTest_Estimator"); } @Test(timeout = 16 * 60000) public void addBigRange_checkErrorMargin_completeWithinSixteenMins() { // Sparse encoding would have taken much longer to complete, thus // timeout helps to make sure the encoding engine used is the correct one. long expected = 10 * 1000 * 1000; float tolerancePct = .3f; long acceptableDelta = (long) ((tolerancePct / 100) * expected); int loggingFrequency = 100 * 1000; for (int i = 0; i < expected; i++) { if (i % loggingFrequency == 0) { System.out.println("At " + i); } estimator.add(i); } long actual = estimator.estimate(); assertEquals(expected, actual, acceptableDelta); } }