Files
spring-soap/spring-data-mongodb/src/test/java/com/baeldung/aggregation/ZipsAggregationLiveTest.java
Loredana Crusoveanu a673f2d809 fix package name
2018-06-02 23:14:27 +03:00

153 lines
6.3 KiB
Java

package com.baeldung.aggregation;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBObject;
import com.mongodb.MongoClient;
import com.mongodb.util.JSON;
import com.baeldung.aggregation.model.StatePopulation;
import com.baeldung.config.MongoConfig;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.data.domain.Sort.Direction;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.aggregation.Aggregation;
import org.springframework.data.mongodb.core.aggregation.AggregationResults;
import org.springframework.data.mongodb.core.aggregation.GroupOperation;
import org.springframework.data.mongodb.core.aggregation.LimitOperation;
import org.springframework.data.mongodb.core.aggregation.MatchOperation;
import org.springframework.data.mongodb.core.aggregation.ProjectionOperation;
import org.springframework.data.mongodb.core.aggregation.SortOperation;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.StreamSupport;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.group;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.limit;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.match;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.newAggregation;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.project;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.sort;
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration(classes = MongoConfig.class)
public class ZipsAggregationLiveTest {
private static MongoClient client;
@Autowired
private MongoTemplate mongoTemplate;
@BeforeClass
public static void setupTests() throws Exception {
client = new MongoClient();
DB testDB = client.getDB("test");
DBCollection zipsCollection = testDB.getCollection("zips");
zipsCollection.drop();
InputStream zipsJsonStream = ZipsAggregationLiveTest.class.getResourceAsStream("/zips.json");
BufferedReader reader = new BufferedReader(new InputStreamReader(zipsJsonStream));
reader.lines()
.forEach(line -> zipsCollection.insert((DBObject) JSON.parse(line)));
reader.close();
}
@AfterClass
public static void tearDown() throws Exception {
client = new MongoClient();
DB testDB = client.getDB("test");
DBCollection zipsCollection = testDB.getCollection("zips");
zipsCollection.drop();
client.close();
}
@Test
public void whenStatesHavePopGrtrThan10MillionAndSorted_thenSuccess() {
GroupOperation groupByStateAndSumPop = group("state").sum("pop").as("statePop");
MatchOperation filterStates = match(new Criteria("statePop").gt(10000000));
SortOperation sortByPopDesc = sort(new Sort(Direction.DESC, "statePop"));
Aggregation aggregation = newAggregation(groupByStateAndSumPop, filterStates, sortByPopDesc);
AggregationResults<StatePopulation> result = mongoTemplate.aggregate(aggregation, "zips", StatePopulation.class);
/*
* Assert that all states have population
* greater than 10000000
*/
result.forEach(statePop -> {
assertTrue(statePop.getStatePop() > 10000000);
});
/*
* Assert that states fetched are in sorted by
* decreasing population
*/
List<StatePopulation> actualList = StreamSupport.stream(result.spliterator(), false)
.collect(Collectors.toList());
List<StatePopulation> expectedList = new ArrayList<>(actualList);
Collections.sort(expectedList, (sp1, sp2) -> sp2.getStatePop() - sp1.getStatePop());
assertEquals(expectedList, actualList);
}
@Test
public void whenStateWithLowestAvgCityPopIsND_theSuccess() {
GroupOperation sumTotalCityPop = group("state", "city").sum("pop").as("cityPop");
GroupOperation averageStatePop = group("_id.state").avg("cityPop").as("avgCityPop");
SortOperation sortByAvgPopAsc = sort(new Sort(Direction.ASC, "avgCityPop"));
ProjectionOperation projectToMatchModel = project().andExpression("_id").as("state")
.andExpression("avgCityPop").as("statePop");
LimitOperation limitToOnlyFirstDoc = limit(1);
Aggregation aggregation = newAggregation(sumTotalCityPop, averageStatePop, sortByAvgPopAsc, limitToOnlyFirstDoc, projectToMatchModel);
AggregationResults<StatePopulation> result = mongoTemplate.aggregate(aggregation, "zips", StatePopulation.class);
StatePopulation smallestState = result.getUniqueMappedResult();
assertEquals("ND", smallestState.getState());
assertTrue(smallestState.getStatePop()
.equals(1645));
}
@Test
public void whenMaxTXAndMinDC_theSuccess() {
GroupOperation sumZips = group("state").count().as("zipCount");
SortOperation sortByCount = sort(Direction.ASC, "zipCount");
GroupOperation groupFirstAndLast = group().first("_id").as("minZipState")
.first("zipCount").as("minZipCount").last("_id").as("maxZipState")
.last("zipCount").as("maxZipCount");
Aggregation aggregation = newAggregation(sumZips, sortByCount, groupFirstAndLast);
AggregationResults<DBObject> result = mongoTemplate.aggregate(aggregation, "zips", DBObject.class);
DBObject dbObject = result.getUniqueMappedResult();
assertEquals("DC", dbObject.get("minZipState"));
assertEquals(24, dbObject.get("minZipCount"));
assertEquals("TX", dbObject.get("maxZipState"));
assertEquals(1671, dbObject.get("maxZipCount"));
}
}