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.BooleanColumnStatistics; 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; /** * Boolean Column Statistics Test Case */ public class BooleanColumnCase1Test 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 trueCount; private static long falseCount; @AfterClass public static void tearDownClass() { System.out.println("\t*** Completed run for BooleanColumnCase1Test ***"); } @Before public void setUp() { super.setUp(); columnStats = columnStatsMap.get(7); //lifemember nullCount = 2L; totalCount = 10L; uniqueCount = 3L; percNullValues = 20.0d; percUniqueValues = 30.0d; percDuplicateValues = 70.0d; topNValues = columnStats.getTopNValues(); trueCount = 5L; falseCount = 3L; } @Test public void testBooleanNullCount() { Assert.assertEquals(nullCount, columnStats.getNullCount()); } @Test public void testBooleanTotalCount() { Assert.assertEquals(totalCount, columnStats.getTotalCount()); } @Test public void testBooleanUniqueCount() { Assert.assertEquals(uniqueCount, columnStats.getUniqueCount()); } @Test public void testBooleanPercNullValues() { assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon); } @Test public void testBooleanPercUniqueValues() { assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon); } @Test public void testBooleanPercDuplicateValues() { assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon); } @Test public void testBooleanTopNValues() { 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(Boolean.TRUE, item.getValue()); Assert.assertEquals(Long.valueOf(5L), item.getCount()); } else if (index == 2) { Assert.assertEquals(Boolean.FALSE, item.getValue()); Assert.assertEquals(Long.valueOf(3L), item.getCount()); } else if (index == 3) { Assert.assertEquals(null, item.getValue()); Assert.assertEquals(Long.valueOf(2L), item.getCount()); } index++; } } @Test public void testBooleanTrueCount() { Assert.assertEquals(trueCount, ((BooleanColumnStatistics) columnStats).getTrueCount()); } @Test public void testBooleanFalseCount() { Assert.assertEquals(falseCount, ((BooleanColumnStatistics) columnStats).getFalseCount()); } }