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.ShortColumnStatistics; 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.hamcrest.Matchers; 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; /** * Short Column Statistics Test Case */ public class ShortColumnCase1Test 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 short max; private static short 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 ShortColumnCase1Test ***"); } @Before public void setUp() { super.setUp(); columnStats = columnStatsMap.get(11); //credits nullCount = 2L; totalCount = 10L; uniqueCount = 6L; percNullValues = 20.0d; percUniqueValues = 60.0d; percDuplicateValues = 40.0d; topNValues = columnStats.getTopNValues(); max = (short) 5000; min = (short) 0; sum = 8600L; mean = 1075d; stddev = 1579.359047d; variance = 2494375d; } @Test public void testShortNullCount() { Assert.assertEquals(nullCount, columnStats.getNullCount()); } @Test public void testShortTotalCount() { Assert.assertEquals(totalCount, columnStats.getTotalCount()); } @Test public void testShortUniqueCount() { Assert.assertEquals(uniqueCount, columnStats.getUniqueCount()); } @Test public void testShortPercNullValues() { assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon); } @Test public void testShortPercUniqueValues() { assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon); } @Test public void testShortPercDuplicateValues() { assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon); } @Test public void testShortTopNValues() { 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((short) 100, item.getValue()); Assert.assertEquals(Long.valueOf(3L), item.getCount()); } else if (index == 2) { // tie for count 2 Assert.assertThat(String.valueOf(item.getValue()), Matchers.anyOf(Matchers.is(String.valueOf((short) 1400)), Matchers.is("null"))); Assert.assertEquals(Long.valueOf(2L), item.getCount()); } else if (index == 3) { // tie for count 2 Assert.assertThat(String.valueOf(item.getValue()), Matchers.anyOf(Matchers.is(String.valueOf((short) 1400)), Matchers.is("null"))); Assert.assertEquals(Long.valueOf(2L), item.getCount()); } index++; } } @Test public void testShortMax() { Assert.assertEquals(max, ((ShortColumnStatistics) columnStats).getMax()); } @Test public void testShortMin() { Assert.assertEquals(min, ((ShortColumnStatistics) columnStats).getMin()); } @Test public void testShortSum() { Assert.assertEquals(sum, ((ShortColumnStatistics) columnStats).getSum()); } @Test public void testShortMean() { assertEquals(mean, ((ShortColumnStatistics) columnStats).getMean(), epsilon); } @Test public void testShortStddev() { assertEquals(stddev, ((ShortColumnStatistics) columnStats).getStddev(), epsilon); } @Test public void testShortVariance() { assertEquals(variance, ((ShortColumnStatistics) columnStats).getVariance(), epsilon); } }