forked from D-Net/dnet-hadoop
324 lines
8.8 KiB
Java
324 lines
8.8 KiB
Java
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package eu.dnetlib.dhp.resulttocommunityfromproject;
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import static org.apache.spark.sql.functions.desc;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import org.apache.commons.io.FileUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.Row;
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import org.apache.spark.sql.SparkSession;
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import org.junit.jupiter.api.AfterAll;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.orcidtoresultfromsemrel.OrcidPropagationJobTest;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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public class ResultToCommunityJobTest {
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private static final Logger log = LoggerFactory.getLogger(ResultToCommunityJobTest.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static SparkSession spark;
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private static Path workingDir;
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files.createTempDirectory(ResultToCommunityJobTest.class.getSimpleName());
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log.info("using work dir {}", workingDir);
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SparkConf conf = new SparkConf();
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conf.setAppName(ResultToCommunityJobTest.class.getSimpleName());
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conf.setMaster("local[*]");
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conf.set("spark.driver.host", "localhost");
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conf.set("hive.metastore.local", "true");
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conf.set("spark.ui.enabled", "false");
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conf.set("spark.sql.warehouse.dir", workingDir.toString());
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conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
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spark = SparkSession
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.builder()
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.appName(OrcidPropagationJobTest.class.getSimpleName())
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.config(conf)
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.getOrCreate();
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}
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@AfterAll
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public static void afterAll() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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spark.stop();
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}
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@Test
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void testSparkResultToCommunityFromProjectJob() throws Exception {
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final String preparedInfoPath = getClass()
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.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/preparedInfo")
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.getPath();
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SparkResultToCommunityFromProject
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.main(
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new String[] {
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-sourcePath", getClass()
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.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/sample/")
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.getPath(),
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"-outputPath", workingDir.toString() + "/",
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"-preparedInfoPath", preparedInfoPath
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});
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<Dataset> tmp = sc
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.textFile(workingDir.toString() + "/dataset")
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.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
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tmp.foreach(d -> System.out.println(new ObjectMapper().writeValueAsString(d)));
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// Assertions.assertEquals(10, tmp.count());
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// org.apache.spark.sql.Dataset<Dataset> verificationDataset = spark
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// .createDataset(tmp.rdd(), Encoders.bean(Dataset.class));
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//
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// verificationDataset.createOrReplaceTempView("dataset");
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//
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// String query = "select id, MyT.id community "
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// + "from dataset "
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// + "lateral view explode(context) c as MyT "
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// + "lateral view explode(MyT.datainfo) d as MyD "
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// + "where MyD.inferenceprovenance = 'propagation'";
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//
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// org.apache.spark.sql.Dataset<Row> resultExplodedProvenance = spark.sql(query);
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// Assertions.assertEquals(5, resultExplodedProvenance.count());
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// Assertions
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// .assertEquals(
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// 0,
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// resultExplodedProvenance
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// .filter("id = '50|dedup_wf_001::afaf128022d29872c4dad402b2db04fe'")
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// .count());
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// Assertions
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// .assertEquals(
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// 1,
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// resultExplodedProvenance
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// .filter("id = '50|dedup_wf_001::3f62cfc27024d564ea86760c494ba93b'")
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// .count());
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// Assertions
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// .assertEquals(
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// "beopen",
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// resultExplodedProvenance
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// .select("community")
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// .where(
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// resultExplodedProvenance
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// .col("id")
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// .equalTo(
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// "50|dedup_wf_001::3f62cfc27024d564ea86760c494ba93b"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 2,
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// resultExplodedProvenance
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// .filter("id = '50|od________18::8887b1df8b563c4ea851eb9c882c9d7b'")
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// .count());
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// Assertions
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// .assertEquals(
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// "mes",
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// resultExplodedProvenance
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// .select("community")
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// .where(
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// resultExplodedProvenance
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// .col("id")
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// .equalTo(
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// "50|od________18::8887b1df8b563c4ea851eb9c882c9d7b"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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// Assertions
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// .assertEquals(
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// "euromarine",
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// resultExplodedProvenance
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// .select("community")
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// .where(
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// resultExplodedProvenance
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// .col("id")
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// .equalTo(
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// "50|od________18::8887b1df8b563c4ea851eb9c882c9d7b"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(1)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 1,
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// resultExplodedProvenance
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// .filter("id = '50|doajarticles::8d817039a63710fcf97e30f14662c6c8'")
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// .count());
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// Assertions
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// .assertEquals(
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// "mes",
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// resultExplodedProvenance
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// .select("community")
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// .where(
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// resultExplodedProvenance
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// .col("id")
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// .equalTo(
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// "50|doajarticles::8d817039a63710fcf97e30f14662c6c8"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 1,
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// resultExplodedProvenance
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// .filter("id = '50|doajarticles::3c98f0632f1875b4979e552ba3aa01e6'")
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// .count());
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// Assertions
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// .assertEquals(
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// "mes",
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// resultExplodedProvenance
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// .select("community")
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// .where(
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// resultExplodedProvenance
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// .col("id")
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// .equalTo(
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// "50|doajarticles::3c98f0632f1875b4979e552ba3aa01e6"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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//
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// query = "select id, MyT.id community "
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// + "from dataset "
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// + "lateral view explode(context) c as MyT "
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// + "lateral view explode(MyT.datainfo) d as MyD ";
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//
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// org.apache.spark.sql.Dataset<Row> resultCommunityId = spark.sql(query);
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//
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// Assertions.assertEquals(10, resultCommunityId.count());
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//
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// Assertions
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// .assertEquals(
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// 1,
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// resultCommunityId
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// .filter("id = '50|dedup_wf_001::afaf128022d29872c4dad402b2db04fe'")
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// .count());
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// Assertions
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// .assertEquals(
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// "beopen",
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// resultCommunityId
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// .select("community")
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// .where(
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// resultCommunityId
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// .col("id")
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// .equalTo(
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// "50|dedup_wf_001::afaf128022d29872c4dad402b2db04fe"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 1,
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// resultCommunityId
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// .filter("id = '50|dedup_wf_001::3f62cfc27024d564ea86760c494ba93b'")
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// .count());
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//
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// Assertions
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// .assertEquals(
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// 3,
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// resultCommunityId
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// .filter("id = '50|od________18::8887b1df8b563c4ea851eb9c882c9d7b'")
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// .count());
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// Assertions
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// .assertEquals(
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// "beopen",
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// resultCommunityId
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// .select("community")
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// .where(
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// resultCommunityId
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// .col("id")
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// .equalTo(
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// "50|od________18::8887b1df8b563c4ea851eb9c882c9d7b"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(2)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 2,
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// resultCommunityId
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// .filter("id = '50|doajarticles::8d817039a63710fcf97e30f14662c6c8'")
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// .count());
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// Assertions
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// .assertEquals(
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// "euromarine",
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// resultCommunityId
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// .select("community")
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// .where(
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// resultCommunityId
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// .col("id")
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// .equalTo(
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// "50|doajarticles::8d817039a63710fcf97e30f14662c6c8"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(1)
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// .getString(0));
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//
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// Assertions
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// .assertEquals(
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// 3,
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// resultCommunityId
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// .filter("id = '50|doajarticles::3c98f0632f1875b4979e552ba3aa01e6'")
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// .count());
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// Assertions
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// .assertEquals(
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// "euromarine",
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// resultCommunityId
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// .select("community")
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// .where(
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// resultCommunityId
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// .col("id")
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// .equalTo(
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// "50|doajarticles::3c98f0632f1875b4979e552ba3aa01e6"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(2)
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// .getString(0));
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// Assertions
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// .assertEquals(
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// "ni",
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// resultCommunityId
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// .select("community")
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// .where(
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// resultCommunityId
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// .col("id")
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// .equalTo(
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// "50|doajarticles::3c98f0632f1875b4979e552ba3aa01e6"))
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// .sort(desc("community"))
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// .collectAsList()
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// .get(0)
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// .getString(0));
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}
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}
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