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.ByteColumnStatistics; 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; /** * Byte Column Statistics Test Case */ public class ByteColumnCase1Test 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 byte max; private static byte 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 ByteColumnCase1Test ***"); } @Before public void setUp() { super.setUp(); columnStats = columnStatsMap.get(12); //ccode nullCount = 3L; totalCount = 10L; uniqueCount = 4L; percNullValues = 30.0d; percUniqueValues = 40.0d; percDuplicateValues = 60.0d; topNValues = columnStats.getTopNValues(); max = (byte) 99; min = (byte) 2; sum = 537L; mean = 76.71428571d; stddev = 36.67118092d; variance = 1344.77551d; } @Test public void testByteNullCount() { Assert.assertEquals(nullCount, columnStats.getNullCount()); } @Test public void testByteTotalCount() { Assert.assertEquals(totalCount, columnStats.getTotalCount()); } @Test public void testByteUniqueCount() { Assert.assertEquals(uniqueCount, columnStats.getUniqueCount()); } @Test public void testBytePercNullValues() { assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon); } @Test public void testBytePercUniqueValues() { assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon); } @Test public void testBytePercDuplicateValues() { assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon); } @Test public void testByteTopNValues() { 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((byte) 99, item.getValue()); Assert.assertEquals(Long.valueOf(5L), 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 testByteMax() { Assert.assertEquals(max, ((ByteColumnStatistics) columnStats).getMax()); } @Test public void testByteMin() { Assert.assertEquals(min, ((ByteColumnStatistics) columnStats).getMin()); } @Test public void testByteSum() { Assert.assertEquals(sum, ((ByteColumnStatistics) columnStats).getSum()); } @Test public void testByteMean() { assertEquals(mean, ((ByteColumnStatistics) columnStats).getMean(), epsilon); } @Test public void testByteStddev() { assertEquals(stddev, ((ByteColumnStatistics) columnStats).getStddev(), epsilon); } @Test public void testByteVariance() { assertEquals(variance, ((ByteColumnStatistics) columnStats).getVariance(), epsilon); } }