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.StandardColumnStatistics;
import com.thinkbiganalytics.spark.dataprofiler.columns.TimestampColumnStatistics;
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.sql.Timestamp;
import java.util.Iterator;
import java.util.TreeSet;
import static org.junit.Assert.assertEquals;
/**
* Timestamp Column Statistics Test Case
*/
public class TimestampColumnCase1Test 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 Timestamp maxTimestamp;
private static Timestamp minTimestamp;
@AfterClass
public static void tearDownClass() {
System.out.println("\t*** Completed run for TimestampColumnCase1Test ***");
}
@Before
public void setUp() {
super.setUp();
columnStats = columnStatsMap.get(8); //lastlogin
nullCount = 0L;
totalCount = 10L;
uniqueCount = 5L;
percNullValues = 0.0d;
percUniqueValues = 50.0d;
percDuplicateValues = 50.0d;
topNValues = columnStats.getTopNValues();
maxTimestamp = Timestamp.valueOf("2016-01-14 14:20:20");
minTimestamp = Timestamp.valueOf("2007-03-16 08:24:31");
}
@Test
public void testTimestampNullCount() {
Assert.assertEquals(nullCount, columnStats.getNullCount());
}
@Test
public void testTimestampTotalCount() {
Assert.assertEquals(totalCount, columnStats.getTotalCount());
}
@Test
public void testTimestampUniqueCount() {
Assert.assertEquals(uniqueCount, columnStats.getUniqueCount());
}
@Test
public void testTimestampPercNullValues() {
assertEquals(percNullValues, columnStats.getPercNullValues(), epsilon);
}
@Test
public void testTimestampPercUniqueValues() {
assertEquals(percUniqueValues, columnStats.getPercUniqueValues(), epsilon);
}
@Test
public void testTimestampPercDuplicateValues() {
assertEquals(percDuplicateValues, columnStats.getPercDuplicateValues(), epsilon);
}
@Test
public void testTimestampTopNValues() {
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(Timestamp.valueOf("2008-05-06 23:10:10"), item.getValue());
Assert.assertEquals(Long.valueOf(4L), item.getCount());
} else if (index == 2) {
Assert.assertEquals(Timestamp.valueOf("2011-01-08 11:25:45"), 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 testTimestampMaxTimestamp() {
Assert.assertEquals(maxTimestamp, ((TimestampColumnStatistics) columnStats).getMaxTimestamp());
}
@Test
public void testTimestampMinTimestamp() {
Assert.assertEquals(minTimestamp, ((TimestampColumnStatistics) columnStats).getMinTimestamp());
}
}