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.LongColumnStatistics;
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;
/**
* Long Column Statistics Test Case
*/
public class LongColumnCase1Test 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 long max;
private static long min;
private static long 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 LongColumnCase1Test ***");
}
@Before
public void setUp() {
super.setUp();
columnStats = columnStatsMap.get(9); //phash
nullCount = 2L;
totalCount = 10L;
uniqueCount = 7L;
percNullValues = 20.0d;
percUniqueValues = 70.0d;
percDuplicateValues = 30.0d;
topNValues = columnStats.getTopNValues();
max = 8782348100L;
min = 1456890911L;
sum = 43837413346L;
mean = 5479676668.25d;
stddev = 2930123653.19747d;
variance = 8585624623027292200d;
}
@Test
public void testLongNullCount() {
Assert.assertEquals(nullCount, columnStats.getNullCount());
}
@Test
public void testLongTotalCount() {
Assert.assertEquals(totalCount, columnStats.getTotalCount());
}
@Test
public void testLongUniqueCount() {
Assert.assertEquals(uniqueCount, columnStats.getUniqueCount());
}
@Test
public void testLongPercNullValues() {
assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon);
}
@Test
public void testLongPercUniqueValues() {
assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon);
}
@Test
public void testLongPercDuplicateValues() {
assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon);
}
@Test
public void testLongTopNValues() {
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(2988626110L, item.getValue());
Assert.assertEquals(Long.valueOf(3L), item.getCount());
} else if (index == 2) {
Assert.assertEquals(null, item.getValue());
Assert.assertEquals(Long.valueOf(2L), 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 testLongMax() {
Assert.assertEquals(max, ((LongColumnStatistics) columnStats).getMax());
}
@Test
public void testLongMin() {
Assert.assertEquals(min, ((LongColumnStatistics) columnStats).getMin());
}
@Test
public void testLongSum() {
Assert.assertEquals(sum, ((LongColumnStatistics) columnStats).getSum());
}
@Test
public void testLongMean() {
assertEquals(mean, ((LongColumnStatistics) columnStats).getMean(), epsilon);
}
@Test
public void testLongStddev() {
assertEquals(stddev, ((LongColumnStatistics) columnStats).getStddev(), epsilon);
}
@Test
public void testLongVariance() {
//Due to the results being extremely large numbers, epsilon2 is used.
assertEquals(variance, ((LongColumnStatistics) columnStats).getVariance(), epsilon2);
}
}