| /* |
| * 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.wayang.core.optimizer.cardinality; |
| |
| import org.junit.Assert; |
| import org.junit.Test; |
| import org.apache.wayang.core.api.Configuration; |
| import org.apache.wayang.core.optimizer.OptimizationContext; |
| |
| import java.util.function.ToLongFunction; |
| |
| import static org.mockito.Mockito.mock; |
| import static org.mockito.Mockito.when; |
| |
| |
| /** |
| * Test suite for the {@link DefaultCardinalityEstimator}. |
| */ |
| public class DefaultCardinalityEstimatorTest { |
| |
| @Test |
| public void testBinaryInputEstimation() { |
| OptimizationContext optimizationContext = mock(OptimizationContext.class); |
| when(optimizationContext.getConfiguration()).thenReturn(new Configuration()); |
| |
| CardinalityEstimate inputEstimate1 = new CardinalityEstimate(50, 60, 0.8); |
| CardinalityEstimate inputEstimate2 = new CardinalityEstimate(10, 100, 0.4); |
| |
| final ToLongFunction<long[]> singlePointEstimator = |
| inputEstimates -> (long) Math.ceil(0.8 * inputEstimates[0] * inputEstimates[1]); |
| |
| CardinalityEstimator estimator = new DefaultCardinalityEstimator( |
| 0.9, |
| 2, |
| false, |
| singlePointEstimator |
| ); |
| |
| CardinalityEstimate estimate = estimator.estimate(optimizationContext, inputEstimate1, inputEstimate2); |
| |
| Assert.assertEquals(0.9 * 0.4, estimate.getCorrectnessProbability(), 0.001); |
| Assert.assertEquals(singlePointEstimator.applyAsLong(new long[]{50, 10}), estimate.getLowerEstimate()); |
| Assert.assertEquals(singlePointEstimator.applyAsLong(new long[]{60, 100}), estimate.getUpperEstimate()); |
| |
| } |
| |
| } |