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.IntegerColumnStatistics; 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; /** * Integer Column Statistics Test Case */ public class IntegerColumnCase1Test 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 int max; private static int 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 IntegerColumnCase1Test ***"); } @Before public void setUp() { super.setUp(); columnStats = columnStatsMap.get(0); //id nullCount = 0L; totalCount = 10L; uniqueCount = 10L; percNullValues = 0.0d; percUniqueValues = 100.0d; percDuplicateValues = 0.0d; topNValues = columnStats.getTopNValues(); max = 10; min = 1; sum = 55L; mean = 5.5d; stddev = 2.872281323d; variance = 8.25d; } @Test public void testIntegerNullCount() { Assert.assertEquals(nullCount, columnStats.getNullCount()); } @Test public void testIntegerTotalCount() { Assert.assertEquals(totalCount, columnStats.getTotalCount()); } @Test public void testIntegerUniqueCount() { Assert.assertEquals(uniqueCount, columnStats.getUniqueCount()); } @Test public void testIntegerPercNullValues() { assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon); } @Test public void testIntegerPercUniqueValues() { assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon); } @Test public void testIntegerPercDuplicateValues() { assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon); } @Test public void testIntegerTopNValues() { 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 Not checking values since they can be arbitrary All values have count 1 for this column */ int index = 1; while (iterator.hasNext()) { TopNDataItem item = iterator.next(); if (index == 1) { Assert.assertEquals(Long.valueOf(1L), item.getCount()); } else if (index == 2) { Assert.assertEquals(Long.valueOf(1L), item.getCount()); } else if (index == 3) { Assert.assertEquals(Long.valueOf(1L), item.getCount()); } index++; } } @Test public void testIntegerMax() { Assert.assertEquals(max, ((IntegerColumnStatistics) columnStats).getMax()); } @Test public void testIntegerMin() { Assert.assertEquals(min, ((IntegerColumnStatistics) columnStats).getMin()); } @Test public void testIntegerSum() { Assert.assertEquals(sum, ((IntegerColumnStatistics) columnStats).getSum()); } @Test public void testIntegerMean() { assertEquals(mean, ((IntegerColumnStatistics) columnStats).getMean(), epsilon); } @Test public void testIntegerStddev() { assertEquals(stddev, ((IntegerColumnStatistics) columnStats).getStddev(), epsilon); } @Test public void testIntegerVariance() { assertEquals(variance, ((IntegerColumnStatistics) columnStats).getVariance(), epsilon); } }