144 lines
4.6 KiB
Java
144 lines
4.6 KiB
Java
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package eu.dnetlib.dhp.oa.graph.dump;
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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.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.oa.graph.dump.community.CommunitySplit;
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import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
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public class SplitForCommunityTest {
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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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private static final Logger log = LoggerFactory.getLogger(DumpJobTest.class);
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files.createTempDirectory(SplitForCommunityTest.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(SplitForCommunityTest.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(SplitForCommunityTest.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 testCommunitySplit() {
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final String sourcePath = getClass()
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.getResource("/eu/dnetlib/dhp/oa/graph/dump/splitForCommunity")
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.getPath();
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final String communityMapPath = getClass()
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.getResource("/eu/dnetlib/dhp/oa/graph/dump/communityMapPath/communitymap.json")
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.getPath();
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CommunitySplit split = new CommunitySplit();
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split.run(false, sourcePath, workingDir.toString() + "/split", communityMapPath);
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<CommunityResult> tmp = sc
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.textFile(workingDir.toString() + "/split/Digital_Humanities_and_Cultural_Heritage")
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.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
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org.apache.spark.sql.Dataset<CommunityResult> verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(CommunityResult.class));
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Assertions.assertEquals(19, verificationDataset.count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::51b88f272ba9c3bb181af64e70255a80'").count());
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tmp = sc
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.textFile(workingDir.toString() + "/split/EGI_Federation")
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.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
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verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(CommunityResult.class));
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Assertions.assertEquals(1, verificationDataset.count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::e4805d005bfab0cd39a1642cbf477fdb'").count());
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tmp = sc
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.textFile(workingDir.toString() + "/split/Neuroinformatics")
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.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
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verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(CommunityResult.class));
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Assertions.assertEquals(5, verificationDataset.count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|datacite____::6b1e3a2fa60ed8c27317a66d6357f795'").count());
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tmp = sc
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.textFile(workingDir.toString() + "/split/Science_and_Innovation_Policy_Studies")
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.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
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verificationDataset = spark
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.createDataset(tmp.rdd(), Encoders.bean(CommunityResult.class));
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Assertions.assertEquals(4, verificationDataset.count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::0347b1cd516fc59e41ba92e0d74e4e9f'").count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::1432beb6171baa5da8a85a7f99545d69'").count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::1c8bd19e633976e314b88ce5c3f92d69'").count());
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Assertions
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.assertEquals(
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1, verificationDataset.filter("id = '50|dedup_wf_001::51b88f272ba9c3bb181af64e70255a80'").count());
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}
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}
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