Merge branch 'beta' into 7096-fileGZip-collector-plugin

dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtils.java

@@ -391,4 +391,19 @@ public class OafMapperUtils {
 		}
 		return null;
 	}
+
+	public static KeyValue newKeyValueInstance(String key, String value, DataInfo dataInfo) {
+		KeyValue kv = new KeyValue();
+		kv.setDataInfo(dataInfo);
+		kv.setKey(key);
+		kv.setValue(value);
+		return kv;
+	}
+
+	public static Measure newMeasureInstance(String id, String value, String key, DataInfo dataInfo) {
+		Measure m = new Measure();
+		m.setId(id);
+		m.setUnit(Arrays.asList(newKeyValueInstance(key, value, dataInfo)));
+		return m;
+	}
 }

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/Constants.java

@@ -27,6 +27,8 @@ public class Constants {
 	public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
 	public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
 	public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
+	public static final String UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID = "measure:usage_counts";
+	public static final String UPDATE_KEY_USAGE_COUNTS = "count";
 
 	public static final String FOS_CLASS_ID = "FOS";
 	public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionUsageJob.java

@@ -0,0 +1,149 @@
+
+package eu.dnetlib.dhp.actionmanager.usagestats;
+
+import static eu.dnetlib.dhp.actionmanager.Constants.*;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
+
+import java.io.Serializable;
+import java.util.Arrays;
+import java.util.List;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.api.java.function.MapGroupsFunction;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.SaveMode;
+import org.apache.spark.sql.SparkSession;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.common.HdfsSupport;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.DataInfo;
+import eu.dnetlib.dhp.schema.oaf.Measure;
+import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
+
+/**
+ * created the Atomic Action for each type of results
+ */
+public class SparkAtomicActionUsageJob implements Serializable {
+
+	private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionUsageJob.class);
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	public static <I extends Result> void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				SparkAtomicActionUsageJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.json"));
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+
+		parser.parseArgument(args);
+
+		Boolean isSparkSessionManaged = Optional
+			.ofNullable(parser.get("isSparkSessionManaged"))
+			.map(Boolean::valueOf)
+			.orElse(Boolean.TRUE);
+
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath {}: ", outputPath);
+
+		SparkConf conf = new SparkConf();
+		conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
+
+		final String dbname = parser.get("usagestatsdb");
+
+		final String workingPath = parser.get("workingPath");
+
+		runWithSparkHiveSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				removeOutputDir(spark, outputPath);
+				prepareResults(dbname, spark, workingPath);
+				prepareActionSet(spark, workingPath, outputPath);
+			});
+	}
+
+	public static void prepareResults(String db, SparkSession spark, String workingPath) {
+		spark
+			.sql(
+				"Select result_id, downloads, views " +
+					"from " + db + ".usage_stats")
+			.as(Encoders.bean(UsageStatsModel.class))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.option("compression", "gzip")
+			.json(workingPath);
+	}
+
+	public static void prepareActionSet(SparkSession spark, String inputPath, String outputPath) {
+		readPath(spark, inputPath, UsageStatsModel.class)
+			.groupByKey((MapFunction<UsageStatsModel, String>) us -> us.getResult_id(), Encoders.STRING())
+			.mapGroups((MapGroupsFunction<String, UsageStatsModel, Result>) (k, it) -> {
+				UsageStatsModel first = it.next();
+				it.forEachRemaining(us -> {
+					first.setDownloads(first.getDownloads() + us.getDownloads());
+					first.setViews(first.getViews() + us.getViews());
+				});
+
+				Result res = new Result();
+				res.setId("50|" + k);
+
+				res.setMeasures(getMeasure(first.getDownloads(), first.getViews()));
+				return res;
+			}, Encoders.bean(Result.class))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.option("compression", "gzip")
+			.json(outputPath);
+	}
+
+	private static List<Measure> getMeasure(Long downloads, Long views) {
+		DataInfo dataInfo = OafMapperUtils
+			.dataInfo(
+				false,
+				UPDATE_DATA_INFO_TYPE,
+				true,
+				false,
+				OafMapperUtils
+					.qualifier(
+						UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
+						UPDATE_CLASS_NAME,
+						ModelConstants.DNET_PROVENANCE_ACTIONS,
+						ModelConstants.DNET_PROVENANCE_ACTIONS),
+				"");
+
+		return Arrays
+			.asList(
+				OafMapperUtils
+					.newMeasureInstance("downloads", String.valueOf(downloads), UPDATE_KEY_USAGE_COUNTS, dataInfo),
+				OafMapperUtils.newMeasureInstance("views", String.valueOf(views), UPDATE_KEY_USAGE_COUNTS, dataInfo));
+
+	}
+
+	private static void removeOutputDir(SparkSession spark, String path) {
+		HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
+	}
+
+	public static <R> Dataset<R> readPath(
+		SparkSession spark, String inputPath, Class<R> clazz) {
+		return spark
+			.read()
+			.textFile(inputPath)
+			.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
+	}
+
+}

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/UsageStatsModel.java

@@ -0,0 +1,34 @@
+
+package eu.dnetlib.dhp.actionmanager.usagestats;
+
+import java.io.Serializable;
+
+public class UsageStatsModel implements Serializable {
+	private String result_id;
+	private Long downloads;
+	private Long views;
+
+	public String getResult_id() {
+		return result_id;
+	}
+
+	public void setResult_id(String result_id) {
+		this.result_id = result_id;
+	}
+
+	public Long getDownloads() {
+		return downloads;
+	}
+
+	public void setDownloads(Long downloads) {
+		this.downloads = downloads;
+	}
+
+	public Long getViews() {
+		return views;
+	}
+
+	public void setViews(Long views) {
+		this.views = views;
+	}
+}

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.json

@@ -0,0 +1,32 @@
+[
+  {
+    "paramName": "issm",
+    "paramLongName": "isSparkSessionManaged",
+    "paramDescription": "when true will stop SparkSession after job execution",
+    "paramRequired": false
+  },
+  {
+    "paramName": "hmu",
+    "paramLongName": "hive_metastore_uris",
+    "paramDescription": "the URI for the hive metastore",
+    "paramRequired": true
+  },
+  {
+    "paramName": "o",
+    "paramLongName": "outputPath",
+    "paramDescription": "the path of the new ActionSet",
+    "paramRequired": true
+  },
+  {
+    "paramName": "sdb",
+    "paramLongName": "usagestatsdb",
+    "paramDescription": "the name of the db to be used",
+    "paramRequired": true
+  },
+  {
+    "paramName": "wp",
+    "paramLongName": "workingPath",
+    "paramDescription": "the workingPath where to save the content of the usage_stats table",
+    "paramRequired": true
+  }
+]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/config-default.xml

@@ -0,0 +1,30 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>hiveMetastoreUris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>hiveJdbcUrl</name>
+        <value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
+    </property>
+    <property>
+        <name>hiveDbName</name>
+        <value>openaire</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+</configuration>

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/workflow.xml

@@ -0,0 +1,99 @@
+<workflow-app name="UsageStatsCounts" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>outputPath</name>
+            <description>the path where to store the actionset</description>
+        </property>
+        <property>
+            <name>usagestatsdb</name>
+            <description>the name of the db to be used</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+        <property>
+            <name>oozieActionShareLibForSpark2</name>
+            <description>oozie action sharelib for spark 2.*</description>
+        </property>
+        <property>
+            <name>spark2ExtraListeners</name>
+            <value>com.cloudera.spark.lineage.NavigatorAppListener</value>
+            <description>spark 2.* extra listeners classname</description>
+        </property>
+        <property>
+            <name>spark2SqlQueryExecutionListeners</name>
+            <value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
+            <description>spark 2.* sql query execution listeners classname</description>
+        </property>
+        <property>
+            <name>spark2YarnHistoryServerAddress</name>
+            <description>spark 2.* yarn history server address</description>
+        </property>
+        <property>
+            <name>spark2EventLogDir</name>
+            <description>spark 2.* event log dir location</description>
+        </property>
+    </parameters>
+
+    <global>
+        <job-tracker>${jobTracker}</job-tracker>
+        <name-node>${nameNode}</name-node>
+        <configuration>
+            <property>
+                <name>mapreduce.job.queuename</name>
+                <value>${queueName}</value>
+            </property>
+            <property>
+                <name>oozie.launcher.mapred.job.queue.name</name>
+                <value>${oozieLauncherQueueName}</value>
+            </property>
+            <property>
+                <name>oozie.action.sharelib.for.spark</name>
+                <value>${oozieActionShareLibForSpark2}</value>
+            </property>
+
+        </configuration>
+    </global>
+    <start to="atomicactions"/>
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+
+    <action name="atomicactions">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the atomic action with the usage stats count for results</name>
+            <class>eu.dnetlib.dhp.actionmanager.usagestats.SparkAtomicActionUsageJob</class>
+            <jar>dhp-aggregation-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.extraListeners=${spark2ExtraListeners}
+                --conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
+                --conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
+                --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
+                --conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
+            <arg>--outputPath</arg><arg>${outputPath}</arg>
+            <arg>--usagestatsdb</arg><arg>${usagestatsdb}</arg>
+            <arg>--workingPath</arg><arg>${workingDir}/usageDb</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionCountJobTest.java

@@ -0,0 +1,259 @@
+
+package eu.dnetlib.dhp.actionmanager.usagestats;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.stream.Collectors;
+
+import org.apache.commons.io.FileUtils;
+import org.apache.hadoop.io.Text;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SparkSession;
+import org.junit.jupiter.api.AfterAll;
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.Test;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob;
+import eu.dnetlib.dhp.schema.action.AtomicAction;
+import eu.dnetlib.dhp.schema.oaf.Result;
+
+public class SparkAtomicActionCountJobTest {
+
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	private static SparkSession spark;
+
+	private static Path workingDir;
+	private static final Logger log = LoggerFactory
+		.getLogger(SparkAtomicActionCountJobTest.class);
+
+	@BeforeAll
+	public static void beforeAll() throws IOException {
+		workingDir = Files
+			.createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName());
+		log.info("using work dir {}", workingDir);
+
+		SparkConf conf = new SparkConf();
+		conf.setAppName(SparkAtomicActionCountJobTest.class.getSimpleName());
+
+		conf.setMaster("local[*]");
+		conf.set("spark.driver.host", "localhost");
+		conf.set("hive.metastore.local", "true");
+		conf.set("spark.ui.enabled", "false");
+		conf.set("spark.sql.warehouse.dir", workingDir.toString());
+		conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
+
+		spark = SparkSession
+			.builder()
+			.appName(SparkAtomicActionCountJobTest.class.getSimpleName())
+			.config(conf)
+			.getOrCreate();
+	}
+
+	@AfterAll
+	public static void afterAll() throws IOException {
+		FileUtils.deleteDirectory(workingDir.toFile());
+		spark.stop();
+	}
+
+	@Test
+	void testMatch() {
+		String usageScoresPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
+			.getPath();
+
+		SparkAtomicActionUsageJob.prepareActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<Result> tmp = sc
+			.textFile(workingDir.toString() + "/actionSet")
+			.map(usm -> OBJECT_MAPPER.readValue(usm, Result.class));
+
+		Assertions.assertEquals(9, tmp.count());
+
+		tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
+
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"measure:usage_counts",
+										u.getDataInfo().getProvenanceaction().getClassid()))));
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"Inferred by OpenAIRE",
+										u.getDataInfo().getProvenanceaction().getClassname()))));
+
+		tmp
+			.foreach(
+				r -> r
+					.getMeasures()
+					.stream()
+					.forEach(
+						m -> m
+							.getUnit()
+							.stream()
+							.forEach(
+								u -> Assertions
+									.assertEquals(
+										"count",
+										u.getKey()))));
+
+		Assertions
+			.assertEquals(
+				1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"5",
+				tmp
+					.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"0",
+				tmp
+					.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"1",
+				tmp
+					.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+
+		Assertions
+			.assertEquals(
+				"2",
+				tmp
+					.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("downloads"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+		Assertions
+			.assertEquals(
+				"6",
+				tmp
+					.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
+					.collect()
+					.get(0)
+					.getMeasures()
+					.stream()
+					.filter(m -> m.getId().equals("views"))
+					.collect(Collectors.toList())
+					.get(0)
+					.getUnit()
+					.get(0)
+					.getValue());
+	}
+
+}

dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb

@@ -0,0 +1,12 @@
+{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":4}
+{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":1}
+{"result_id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
+{"result_id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
+{"result_id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
+{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":3}
+{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":0,"views":3}
+{"result_id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
+{"result_id":"doi_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
+{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":8}
+{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":0,"views":2}
+{"result_id":"doi_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}

dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala

@@ -59,52 +59,6 @@ object SparkGenerateDoiBoost {
     val workingDirPath = parser.get("workingPath")
     val openaireOrganizationPath = parser.get("openaireOrganizationPath")
 
-    val crossrefAggregator = new Aggregator[(String, Publication), Publication, Publication] with Serializable {
-      override def zero: Publication = new Publication
-
-      override def reduce(b: Publication, a: (String, Publication)): Publication = {
-
-        if (b == null) {
-          if (a != null && a._2 != null) {
-            a._2.setId(a._1)
-            return a._2
-          }
-        } else {
-          if (a != null && a._2 != null) {
-            b.mergeFrom(a._2)
-            b.setId(a._1)
-            val authors = AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
-            b.setAuthor(authors)
-            return b
-          }
-        }
-        new Publication
-      }
-
-      override def merge(b1: Publication, b2: Publication): Publication = {
-        if (b1 == null) {
-          if (b2 != null)
-            return b2
-        } else {
-          if (b2 != null) {
-            b1.mergeFrom(b2)
-            val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
-            b1.setAuthor(authors)
-            if (b2.getId != null && b2.getId.nonEmpty)
-              b1.setId(b2.getId)
-            return b1
-          }
-        }
-        new Publication
-      }
-
-      override def finish(reduction: Publication): Publication = reduction
-
-      override def bufferEncoder: Encoder[Publication] = Encoders.kryo[Publication]
-
-      override def outputEncoder: Encoder[Publication] = Encoders.kryo[Publication]
-    }
-
     implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
     implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
     implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
@@ -175,8 +129,33 @@ object SparkGenerateDoiBoost {
       .map(DoiBoostMappingUtil.fixPublication)
       .map(p => (p.getId, p))
       .groupByKey(_._1)
-      .agg(crossrefAggregator.toColumn)
-      .map(p => p._2)
+      .reduceGroups((left, right) => {
+        //Check left is not  null
+        if (left != null && left._1 != null) {
+          //If right is null then return left
+          if (right == null || right._2 == null)
+            left
+          else {
+            // Here Left and Right are not null
+            // So we have to merge
+            val b1 = left._2
+            val b2 = right._2
+            b1.mergeFrom(b2)
+            b1.mergeOAFDataInfo(b2)
+            val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
+            b1.setAuthor(authors)
+            if (b2.getId != null && b2.getId.nonEmpty)
+              b1.setId(b2.getId)
+            //Return publication Merged
+            (b1.getId, b1)
+          }
+        } else {
+          // Left is Null so we return right
+          right
+        }
+      })
+      .filter(s => s != null && s._2 != null)
+      .map(s => s._2._2)
       .write
       .mode(SaveMode.Overwrite)
       .save(s"$workingDirPath/doiBoostPublicationFiltered")

dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanContextSparkJob.java

@@ -1,16 +1,13 @@
+
 package eu.dnetlib.dhp.oa.graph.clean;
 
-import com.fasterxml.jackson.databind.ObjectMapper;
-import eu.dnetlib.dhp.application.ArgumentApplicationParser;
-import eu.dnetlib.dhp.common.HdfsSupport;
-import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
-import eu.dnetlib.dhp.schema.common.ModelConstants;
-import eu.dnetlib.dhp.schema.oaf.Context;
-import eu.dnetlib.dhp.schema.oaf.Oaf;
-import eu.dnetlib.dhp.schema.oaf.OafEntity;
-import eu.dnetlib.dhp.schema.oaf.Result;
-import eu.dnetlib.dhp.utils.ISLookupClientFactory;
-import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.Serializable;
+import java.util.List;
+import java.util.Optional;
+import java.util.stream.Collectors;
+
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.function.MapFunction;
@@ -21,93 +18,113 @@ import org.apache.spark.sql.SparkSession;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import java.io.Serializable;
-import java.util.List;
-import java.util.Optional;
-import java.util.stream.Collectors;
+import com.fasterxml.jackson.databind.ObjectMapper;
 
-import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.common.HdfsSupport;
+import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.oaf.Context;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
+import eu.dnetlib.dhp.schema.oaf.OafEntity;
+import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.utils.ISLookupClientFactory;
+import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
 
 public class CleanContextSparkJob implements Serializable {
-    private static final Logger log = LoggerFactory.getLogger(CleanContextSparkJob.class);
-
-    private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
-
-    public static void main(String[] args) throws Exception {
-
-        String jsonConfiguration = IOUtils
-                .toString(
-                        CleanContextSparkJob.class
-                                .getResourceAsStream(
-                                        "/eu/dnetlib/dhp/oa/graph/input_clean_context_parameters.json"));
-        final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
-        parser.parseArgument(args);
-
-        Boolean isSparkSessionManaged = Optional
-                .ofNullable(parser.get("isSparkSessionManaged"))
-                .map(Boolean::valueOf)
-                .orElse(Boolean.TRUE);
-        log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
-
-        String inputPath = parser.get("inputPath");
-        log.info("inputPath: {}", inputPath);
-
-        String workingPath = parser.get("workingPath");
-        log.info("workingPath: {}", workingPath);
-
-        String contextId = parser.get("contextId");
-        log.info("contextId: {}", contextId);
-
-        String verifyParam = parser.get("verifyParam");
-        log.info("verifyParam: {}", verifyParam);
-
-
-        String graphTableClassName = parser.get("graphTableClassName");
-        log.info("graphTableClassName: {}", graphTableClassName);
-
-        Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
-
-
-        SparkConf conf = new SparkConf();
-        runWithSparkSession(
-                conf,
-                isSparkSessionManaged,
-                spark -> {
-
-                    cleanContext(spark, contextId, verifyParam, inputPath, entityClazz, workingPath);
-                });
-    }
-
-    private static <T extends Result> void  cleanContext(SparkSession spark, String contextId, String verifyParam, String inputPath, Class<T> entityClazz, String workingPath) {
-        Dataset<T> res = spark
-                .read()
-                .textFile(inputPath)
-                .map(
-                        (MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
-                        Encoders.bean(entityClazz));
-
-        res.map((MapFunction<T, T>) r -> {
-            if(!r.getTitle()
-                    .stream()
-                    .filter(t -> t.getQualifier().getClassid()
-                            .equalsIgnoreCase(ModelConstants.MAIN_TITLE_QUALIFIER.getClassid()))
-                    .anyMatch(t -> t.getValue().toLowerCase().startsWith(verifyParam.toLowerCase()))){
-                return r;
-            }
-            r.setContext(r.getContext().stream().filter(c -> !c.getId().split("::")[0]
-                    .equalsIgnoreCase(contextId)).collect(Collectors.toList()));
-            return r;
-        } ,Encoders.bean(entityClazz))
-                .write()
-                .mode(SaveMode.Overwrite)
-                .option("compression","gzip")
-                .json(workingPath);
-
-        spark.read().textFile(workingPath).map((MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
-                Encoders.bean(entityClazz))
-                .write()
-                .mode(SaveMode.Overwrite)
-                .option("compression","gzip")
-                .json(inputPath);
-    }
+	private static final Logger log = LoggerFactory.getLogger(CleanContextSparkJob.class);
+
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	public static void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				CleanContextSparkJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/oa/graph/input_clean_context_parameters.json"));
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
+		parser.parseArgument(args);
+
+		Boolean isSparkSessionManaged = Optional
+			.ofNullable(parser.get("isSparkSessionManaged"))
+			.map(Boolean::valueOf)
+			.orElse(Boolean.TRUE);
+		log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+
+		String inputPath = parser.get("inputPath");
+		log.info("inputPath: {}", inputPath);
+
+		String workingPath = parser.get("workingPath");
+		log.info("workingPath: {}", workingPath);
+
+		String contextId = parser.get("contextId");
+		log.info("contextId: {}", contextId);
+
+		String verifyParam = parser.get("verifyParam");
+		log.info("verifyParam: {}", verifyParam);
+
+		String graphTableClassName = parser.get("graphTableClassName");
+		log.info("graphTableClassName: {}", graphTableClassName);
+
+		Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
+
+		SparkConf conf = new SparkConf();
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+
+				cleanContext(spark, contextId, verifyParam, inputPath, entityClazz, workingPath);
+			});
+	}
+
+	private static <T extends Result> void cleanContext(SparkSession spark, String contextId, String verifyParam,
+		String inputPath, Class<T> entityClazz, String workingPath) {
+		Dataset<T> res = spark
+			.read()
+			.textFile(inputPath)
+			.map(
+				(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
+				Encoders.bean(entityClazz));
+
+		res.map((MapFunction<T, T>) r -> {
+			if (!r
+				.getTitle()
+				.stream()
+				.filter(
+					t -> t
+						.getQualifier()
+						.getClassid()
+						.equalsIgnoreCase(ModelConstants.MAIN_TITLE_QUALIFIER.getClassid()))
+				.anyMatch(t -> t.getValue().toLowerCase().startsWith(verifyParam.toLowerCase()))) {
+				return r;
+			}
+			r
+				.setContext(
+					r
+						.getContext()
+						.stream()
+						.filter(
+							c -> !c.getId().split("::")[0]
+								.equalsIgnoreCase(contextId))
+						.collect(Collectors.toList()));
+			return r;
+		}, Encoders.bean(entityClazz))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.option("compression", "gzip")
+			.json(workingPath);
+
+		spark
+			.read()
+			.textFile(workingPath)
+			.map(
+				(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
+				Encoders.bean(entityClazz))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.option("compression", "gzip")
+			.json(inputPath);
+	}
 }

dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/CleanContextTest.java

@@ -1,18 +1,12 @@
+
 package eu.dnetlib.dhp.oa.graph.clean;
 
-import com.fasterxml.jackson.core.JsonProcessingException;
-import com.fasterxml.jackson.databind.ObjectMapper;
-import eu.dnetlib.dhp.oa.graph.dump.Constants;
-import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest;
-import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
-import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
-import eu.dnetlib.dhp.schema.common.ModelConstants;
-import eu.dnetlib.dhp.schema.dump.oaf.Instance;
-import eu.dnetlib.dhp.schema.dump.oaf.OpenAccessRoute;
-import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult;
-import eu.dnetlib.dhp.schema.oaf.Publication;
-import eu.dnetlib.dhp.schema.oaf.Software;
-import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.List;
+import java.util.Locale;
+
 import org.apache.commons.io.FileUtils;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.JavaRDD;
@@ -27,133 +21,280 @@ import org.junit.jupiter.api.Test;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import java.io.IOException;
-import java.nio.file.Files;
-import java.nio.file.Path;
-import java.util.List;
-import java.util.Locale;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import eu.dnetlib.dhp.oa.graph.dump.Constants;
+import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest;
+import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
+import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
+import eu.dnetlib.dhp.schema.common.ModelConstants;
+import eu.dnetlib.dhp.schema.dump.oaf.Instance;
+import eu.dnetlib.dhp.schema.dump.oaf.OpenAccessRoute;
+import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult;
+import eu.dnetlib.dhp.schema.oaf.Publication;
+import eu.dnetlib.dhp.schema.oaf.Software;
+import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
 
 public class CleanContextTest {
 
-    private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
-
-    private static SparkSession spark;
-
-    private static Path workingDir;
-
-    private static final Logger log = LoggerFactory.getLogger(CleanContextTest.class);
-
-    @BeforeAll
-    public static void beforeAll() throws IOException {
-        workingDir = Files.createTempDirectory(DumpJobTest.class.getSimpleName());
-        log.info("using work dir {}", workingDir);
-
-        SparkConf conf = new SparkConf();
-        conf.setAppName(DumpJobTest.class.getSimpleName());
-
-        conf.setMaster("local[*]");
-        conf.set("spark.driver.host", "localhost");
-        conf.set("hive.metastore.local", "true");
-        conf.set("spark.ui.enabled", "false");
-        conf.set("spark.sql.warehouse.dir", workingDir.toString());
-        conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
-
-        spark = SparkSession
-                .builder()
-                .appName(DumpJobTest.class.getSimpleName())
-                .config(conf)
-                .getOrCreate();
-    }
-
-    @AfterAll
-    public static void afterAll() throws IOException {
-        FileUtils.deleteDirectory(workingDir.toFile());
-        spark.stop();
-    }
-
-    @Test
-    public void testResultClean() throws Exception {
-        final String sourcePath = getClass()
-                .getResource("/eu/dnetlib/dhp/oa/graph/clean/publication_clean_context.json")
-                .getPath();
-        final String prefix = "gcube ";
-
-
-        spark.read().textFile(sourcePath).map((MapFunction<String, Publication>)  r -> OBJECT_MAPPER.readValue(r, Publication.class), Encoders.bean(Publication.class))
-                        .write().json(workingDir.toString() + "/publication");
-
-
-        CleanContextSparkJob.main(new String[] {
-                        "--isSparkSessionManaged", Boolean.FALSE.toString(),
-                        "--inputPath", workingDir.toString() + "/publication",
-                        "-graphTableClassName", Publication.class.getCanonicalName(),
-                        "-workingPath", workingDir.toString() + "/working",
-                "-contextId","sobigdata",
-                "-verifyParam","gCube "
-                });
-
-        final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
-        JavaRDD<Publication> tmp = sc
-                .textFile(workingDir.toString() + "/publication")
-                .map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
-
-        Assertions.assertEquals(7, tmp.count());
-
-        //original result with sobigdata context and gcube as starting string in the main title for the publication
-        Assertions.assertEquals(0,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95")).collect().get(0).getContext().size());
-
-        //original result with sobigdata context without gcube as starting string in the main title for the publication
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9")).collect().get(0).getContext().size());
-        Assertions.assertEquals("sobigdata::projects::2",tmp.filter(p->p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9")).collect().get(0).getContext().get(0).getId() );
-
-        //original result with sobigdata context with gcube as starting string in the subtitle
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getContext().size());
-        Assertions.assertEquals("sobigdata::projects::2",tmp.filter(p->p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getContext().get(0).getId() );
-        List<StructuredProperty> titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af")).collect().get(0).getTitle();
-        Assertions.assertEquals(1, titles.size());
-        Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix) );
-        Assertions.assertEquals("subtitle", titles.get(0).getQualifier().getClassid());
-
-        //original result with sobigdata context with gcube not as starting string in the main title
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getContext().size());
-        Assertions.assertEquals("sobigdata::projects::1",tmp.filter(p->p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getContext().get(0).getId() );
-        titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f")).collect().get(0).getTitle();
-        Assertions.assertEquals(1, titles.size());
-        Assertions.assertFalse(titles.get(0).getValue().toLowerCase().startsWith(prefix) );
-        Assertions.assertTrue(titles.get(0).getValue().toLowerCase().contains(prefix.trim()) );
-        Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
-
-        //original result with sobigdata in context and also other contexts with gcube as starting string for the main title
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getContext().size());
-        Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getContext().get(0).getId() );
-        titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53")).collect().get(0).getTitle();
-        Assertions.assertEquals(1, titles.size());
-        Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix) );
-        Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
-
-        //original result with multiple main title one of which whith gcube as starting string and with 2 contextes
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getContext().size());
-        Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getContext().get(0).getId() );
-        titles = tmp.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff")).collect().get(0).getTitle();
-        Assertions.assertEquals(2, titles.size());
-        Assertions.assertTrue(titles.stream().anyMatch(t -> t.getQualifier().getClassid().equals("main title") && t.getValue().toLowerCase().startsWith(prefix)) );
-
-
-        //original result without sobigdata in context with gcube as starting string for the main title
-        Assertions.assertEquals(1,
-                tmp.filter(p->p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getContext().size());
-        Assertions.assertEquals("dh-ch",tmp.filter(p->p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getContext().get(0).getId() );
-        titles = tmp.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8")).collect().get(0).getTitle();
-        Assertions.assertEquals(2, titles.size());
-
-        Assertions.assertTrue(titles.stream().anyMatch(t -> t.getQualifier().getClassid().equals("main title") && t.getValue().toLowerCase().startsWith(prefix)));
-
-
-    }
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	private static SparkSession spark;
+
+	private static Path workingDir;
+
+	private static final Logger log = LoggerFactory.getLogger(CleanContextTest.class);
+
+	@BeforeAll
+	public static void beforeAll() throws IOException {
+		workingDir = Files.createTempDirectory(DumpJobTest.class.getSimpleName());
+		log.info("using work dir {}", workingDir);
+
+		SparkConf conf = new SparkConf();
+		conf.setAppName(DumpJobTest.class.getSimpleName());
+
+		conf.setMaster("local[*]");
+		conf.set("spark.driver.host", "localhost");
+		conf.set("hive.metastore.local", "true");
+		conf.set("spark.ui.enabled", "false");
+		conf.set("spark.sql.warehouse.dir", workingDir.toString());
+		conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
+
+		spark = SparkSession
+			.builder()
+			.appName(DumpJobTest.class.getSimpleName())
+			.config(conf)
+			.getOrCreate();
+	}
+
+	@AfterAll
+	public static void afterAll() throws IOException {
+		FileUtils.deleteDirectory(workingDir.toFile());
+		spark.stop();
+	}
+
+	@Test
+	public void testResultClean() throws Exception {
+		final String sourcePath = getClass()
+			.getResource("/eu/dnetlib/dhp/oa/graph/clean/publication_clean_context.json")
+			.getPath();
+		final String prefix = "gcube ";
+
+		spark
+			.read()
+			.textFile(sourcePath)
+			.map(
+				(MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class),
+				Encoders.bean(Publication.class))
+			.write()
+			.json(workingDir.toString() + "/publication");
+
+		CleanContextSparkJob.main(new String[] {
+			"--isSparkSessionManaged", Boolean.FALSE.toString(),
+			"--inputPath", workingDir.toString() + "/publication",
+			"-graphTableClassName", Publication.class.getCanonicalName(),
+			"-workingPath", workingDir.toString() + "/working",
+			"-contextId", "sobigdata",
+			"-verifyParam", "gCube "
+		});
+
+		final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+		JavaRDD<Publication> tmp = sc
+			.textFile(workingDir.toString() + "/publication")
+			.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
+
+		Assertions.assertEquals(7, tmp.count());
+
+		// original result with sobigdata context and gcube as starting string in the main title for the publication
+		Assertions
+			.assertEquals(
+				0,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+
+		// original result with sobigdata context without gcube as starting string in the main title for the publication
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"sobigdata::projects::2",
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+
+		// original result with sobigdata context with gcube as starting string in the subtitle
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"sobigdata::projects::2",
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+		List<StructuredProperty> titles = tmp
+			.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
+			.collect()
+			.get(0)
+			.getTitle();
+		Assertions.assertEquals(1, titles.size());
+		Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
+		Assertions.assertEquals("subtitle", titles.get(0).getQualifier().getClassid());
+
+		// original result with sobigdata context with gcube not as starting string in the main title
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"sobigdata::projects::1",
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+		titles = tmp
+			.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
+			.collect()
+			.get(0)
+			.getTitle();
+		Assertions.assertEquals(1, titles.size());
+		Assertions.assertFalse(titles.get(0).getValue().toLowerCase().startsWith(prefix));
+		Assertions.assertTrue(titles.get(0).getValue().toLowerCase().contains(prefix.trim()));
+		Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
+
+		// original result with sobigdata in context and also other contexts with gcube as starting string for the main
+		// title
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"dh-ch",
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+		titles = tmp
+			.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
+			.collect()
+			.get(0)
+			.getTitle();
+		Assertions.assertEquals(1, titles.size());
+		Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
+		Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
+
+		// original result with multiple main title one of which whith gcube as starting string and with 2 contextes
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"dh-ch",
+				tmp
+					.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+		titles = tmp
+			.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
+			.collect()
+			.get(0)
+			.getTitle();
+		Assertions.assertEquals(2, titles.size());
+		Assertions
+			.assertTrue(
+				titles
+					.stream()
+					.anyMatch(
+						t -> t.getQualifier().getClassid().equals("main title")
+							&& t.getValue().toLowerCase().startsWith(prefix)));
+
+		// original result without sobigdata in context with gcube as starting string for the main title
+		Assertions
+			.assertEquals(
+				1,
+				tmp
+					.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
+					.collect()
+					.get(0)
+					.getContext()
+					.size());
+		Assertions
+			.assertEquals(
+				"dh-ch",
+				tmp
+					.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
+					.collect()
+					.get(0)
+					.getContext()
+					.get(0)
+					.getId());
+		titles = tmp
+			.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
+			.collect()
+			.get(0)
+			.getTitle();
+		Assertions.assertEquals(2, titles.size());
+
+		Assertions
+			.assertTrue(
+				titles
+					.stream()
+					.anyMatch(
+						t -> t.getQualifier().getClassid().equals("main title")
+							&& t.getValue().toLowerCase().startsWith(prefix)));
+
+	}
 }