/**
* Copyright (C) 2014-2016 LinkedIn Corp. (pinot-core@linkedin.com)
*
* 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.linkedin.pinot.query.transform;
import com.linkedin.pinot.core.operator.transform.function.AdditionTransform;
import com.linkedin.pinot.core.operator.transform.function.TransformFunction;
import java.util.Random;
import org.testng.Assert;
import org.testng.annotations.Test;
/**
* Test of {@link AdditionTransform} class.
*/
public class AdditionTransformTest {
private static final int NUM_ROWS = 1000;
private static final double EPSILON = 1e-5;
/**
* Tests that addition for three columns (one int, one float and one double)
* are as expected.
*/
@Test
public void test() {
long seed = System.nanoTime();
Random random = new Random(seed);
double[] input1 = new double[NUM_ROWS];
double[] input2 = new double[NUM_ROWS];
double[] input3 = new double[NUM_ROWS];
double[] expected = new double[NUM_ROWS];
for (int i = 0; i < NUM_ROWS; i++) {
input1[i] = random.nextInt();
input2[i] = random.nextFloat();
input3[i] = random.nextDouble();
expected[i] = input1[i] + input2[i] + input3[i];
}
TransformFunction function = new AdditionTransform();
double[] actual = function.transform(NUM_ROWS, new TransformTestUtils.TestBlockValSet(input1, NUM_ROWS),
new TransformTestUtils.TestBlockValSet(input2, NUM_ROWS),
new TransformTestUtils.TestBlockValSet(input3, NUM_ROWS));
for (int i = 0; i < NUM_ROWS; i++) {
Assert.assertEquals(actual[i], expected[i], EPSILON, ("Random seed: " + seed));
}
}
}