package com.thinkbiganalytics.spark.dataprofiler.testcases;
/*-
* #%L
* thinkbig-spark-job-profiler-app
* %%
* Copyright (C) 2017 ThinkBig Analytics
* %%
* 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.
* #L%
*/
import com.thinkbiganalytics.spark.dataprofiler.columns.DoubleColumnStatistics;
import com.thinkbiganalytics.spark.dataprofiler.columns.StandardColumnStatistics;
import com.thinkbiganalytics.spark.dataprofiler.core.ProfilerTest;
import com.thinkbiganalytics.spark.dataprofiler.topn.TopNDataItem;
import com.thinkbiganalytics.spark.dataprofiler.topn.TopNDataList;
import org.junit.AfterClass;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import java.util.Iterator;
import java.util.TreeSet;
import static org.junit.Assert.assertEquals;
/**
* Double Column Statistics Test Case
*/
public class DoubleColumnCase1Test extends ProfilerTest {
private static StandardColumnStatistics columnStats;
private static long nullCount;
private static long totalCount;
private static long uniqueCount;
private static double percNullValues;
private static double percUniqueValues;
private static double percDuplicateValues;
private static TopNDataList topNValues;
private static double max;
private static double min;
private static double sum;
private static double mean;
private static double stddev;
private static double variance;
@AfterClass
public static void tearDownClass() {
System.out.println("\t*** Completed run for DoubleColumnCase1Test ***");
}
@Before
public void setUp() {
super.setUp();
columnStats = columnStatsMap.get(5); //height
nullCount = 3L;
totalCount = 10L;
uniqueCount = 5L;
percNullValues = 30.0d;
percUniqueValues = 50.0d;
percDuplicateValues = 50.0d;
topNValues = columnStats.getTopNValues();
max = 6.22d;
min = 4.37d;
sum = 38.87d;
mean = 5.552857143d;
stddev = 0.615298169d;
variance = 0.378591837d;
}
@Test
public void testDoubleNullCount() {
Assert.assertEquals(nullCount, columnStats.getNullCount());
}
@Test
public void testDoubleTotalCount() {
Assert.assertEquals(totalCount, columnStats.getTotalCount());
}
@Test
public void testDoubleUniqueCount() {
Assert.assertEquals(uniqueCount, columnStats.getUniqueCount());
}
@Test
public void testDoublePercNullValues() {
assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon);
}
@Test
public void testDoublePercUniqueValues() {
assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon);
}
@Test
public void testDoublePercDuplicateValues() {
assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon);
}
@Test
public void testDoubleTopNValues() {
TreeSet<TopNDataItem> items = topNValues.getTopNDataItemsForColumn();
Iterator<TopNDataItem> iterator = items.descendingIterator();
//Verify that there are 3 items
Assert.assertEquals(3, items.size());
//Verify the top 3 item counts
int index = 1;
while (iterator.hasNext()) {
TopNDataItem item = iterator.next();
if (index == 1) {
Assert.assertEquals(5.85d, item.getValue());
Assert.assertEquals(Long.valueOf(4L), item.getCount());
} else if (index == 2) {
Assert.assertEquals(null, item.getValue());
Assert.assertEquals(Long.valueOf(3L), item.getCount());
} else if (index == 3) {
/*
Not checking value since it can be arbitrary.
All remaining values have count 1
*/
Assert.assertEquals(Long.valueOf(1L), item.getCount());
}
index++;
}
}
@Test
public void testDoubleMax() {
assertEquals(max, ((DoubleColumnStatistics) columnStats).getMax(), epsilon);
}
@Test
public void testDoubleMin() {
assertEquals(min, ((DoubleColumnStatistics) columnStats).getMin(), epsilon);
}
@Test
public void testDoubleSum() {
assertEquals(sum, ((DoubleColumnStatistics) columnStats).getSum(), epsilon);
}
@Test
public void testDoubleMean() {
assertEquals(mean, ((DoubleColumnStatistics) columnStats).getMean(), epsilon);
}
@Test
public void testDoubleStddev() {
assertEquals(stddev, ((DoubleColumnStatistics) columnStats).getStddev(), epsilon);
}
@Test
public void testDoubleVariance() {
assertEquals(variance, ((DoubleColumnStatistics) columnStats).getVariance(), epsilon);
}
}