Merge pull request 'Creation of the action set to include the bipFinder! score' (#62) from miriam.baglioni/dnet-hadoop:bipFinder into master

dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Measure.java

@@ -1,6 +1,7 @@
 
 package eu.dnetlib.dhp.schema.oaf;
 
+import java.io.Serializable;
 import java.util.List;
 
 import com.google.common.base.Objects;
@@ -8,7 +9,7 @@ import com.google.common.base.Objects;
 /**
  * Represent a measure, must be further described by a system available resource providing name and descriptions.
  */
-public class Measure {
+public class Measure implements Serializable {
 
 	/**
 	 * Unique measure identifier.
@@ -16,7 +17,7 @@ public class Measure {
 	private String id;
 
 	/**
-	 * List of units associated with this measure. KeyValue provides a pair to store the laber (key) and the value, plus
+	 * List of units associated with this measure. KeyValue provides a pair to store the label (key) and the value, plus
 	 * common provenance information.
 	 */
 	private List<KeyValue> unit;

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

@@ -0,0 +1,28 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+
+/**
+ * Class that maps the model of the bipFinder! input data.
+ * Only needed for deserialization purposes
+ */
+
+public class BipDeserialize extends HashMap<String, List<Score>> implements Serializable {
+
+	public BipDeserialize() {
+		super();
+	}
+
+	public List<Score> get(String key) {
+
+		if (super.get(key) == null) {
+			return new ArrayList<>();
+		}
+		return super.get(key);
+	}
+
+}

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

@@ -0,0 +1,30 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.Serializable;
+import java.util.List;
+
+/**
+ * Rewriting of the bipFinder input data by extracting the identifier of the result (doi)
+ */
+
+public class BipScore implements Serializable {
+	private String id; //doi
+	private List<Score> scoreList; //unit as given in the inputfile
+
+	public String getId() {
+		return id;
+	}
+
+	public void setId(String id) {
+		this.id = id;
+	}
+
+	public List<Score> getScoreList() {
+		return scoreList;
+	}
+
+	public void setScoreList(List<Score> scoreList) {
+		this.scoreList = scoreList;
+	}
+}

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

@@ -0,0 +1,85 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.Serializable;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.SequenceFileOutputFormat;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaSparkContext;
+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.oaf.Result;
+
+/**
+ * Just collects all the atomic actions produced for the different results and saves them in
+ * outputpath for the ActionSet
+ */
+public class CollectAndSave implements Serializable {
+
+	private static final Logger log = LoggerFactory.getLogger(CollectAndSave.class);
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	public static <I extends Result> void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				CollectAndSave.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/bipfinder/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 inputPath = parser.get("inputPath");
+		log.info("inputPath {}: ", inputPath);
+
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath {}: ", outputPath);
+
+		SparkConf conf = new SparkConf();
+
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				removeOutputDir(spark, outputPath);
+				collectAndSave(spark, inputPath, outputPath);
+			});
+	}
+
+	private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) {
+		JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+		sc
+			.sequenceFile(inputPath + "/publication", Text.class, Text.class)
+			.union(sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class))
+			.union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class))
+			.union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class))
+			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
+		;
+	}
+
+	private static void removeOutputDir(SparkSession spark, String path) {
+		HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
+	}
+
+}

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

@@ -0,0 +1,26 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.Serializable;
+
+public class KeyValue implements Serializable {
+
+	private String key;
+	private String value;
+
+	public String getKey() {
+		return key;
+	}
+
+	public void setKey(String key) {
+		this.key = key;
+	}
+
+	public String getValue() {
+		return value;
+	}
+
+	public void setValue(String value) {
+		this.value = value;
+	}
+}

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

@@ -0,0 +1,28 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.Serializable;
+
+/**
+ * Subset of the information of the generic results that are needed to create the atomic action
+ */
+public class PreparedResult implements Serializable {
+	private String id; // openaire id
+	private String value; // doi
+
+	public String getId() {
+		return id;
+	}
+
+	public void setId(String id) {
+		this.id = id;
+	}
+
+	public String getValue() {
+		return value;
+	}
+
+	public void setValue(String value) {
+		this.value = value;
+	}
+}

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

@@ -0,0 +1,30 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.Serializable;
+import java.util.List;
+
+/**
+ * represents the score in the input file
+ */
+public class Score implements Serializable {
+
+	private String id;
+	private List<KeyValue> unit;
+
+	public String getId() {
+		return id;
+	}
+
+	public void setId(String id) {
+		this.id = id;
+	}
+
+	public List<KeyValue> getUnit() {
+		return unit;
+	}
+
+	public void setUnit(List<KeyValue> unit) {
+		this.unit = unit;
+	}
+}

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

@@ -0,0 +1,200 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+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.hadoop.io.Text;
+import org.apache.hadoop.mapred.SequenceFileOutputFormat;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+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.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.action.AtomicAction;
+import eu.dnetlib.dhp.schema.oaf.*;
+import eu.dnetlib.dhp.schema.oaf.KeyValue;
+import scala.Tuple2;
+
+/**
+ * created the Atomic Action for each tipe of results
+ */
+public class SparkAtomicActionScoreJob implements Serializable {
+
+	private static String DOI = "doi";
+	private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class);
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	public static <I extends Result> void main(String[] args) throws Exception {
+
+		String jsonConfiguration = IOUtils
+			.toString(
+				SparkAtomicActionScoreJob.class
+					.getResourceAsStream(
+						"/eu/dnetlib/dhp/actionmanager/bipfinder/input_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);
+
+		final String inputPath = parser.get("inputPath");
+		log.info("inputPath {}: ", inputPath);
+
+		final String outputPath = parser.get("outputPath");
+		log.info("outputPath {}: ", outputPath);
+
+		final String bipScorePath = parser.get("bipScorePath");
+		log.info("bipScorePath: {}", bipScorePath);
+
+		final String resultClassName = parser.get("resultTableName");
+		log.info("resultTableName: {}", resultClassName);
+
+		Class<I> inputClazz = (Class<I>) Class.forName(resultClassName);
+
+		SparkConf conf = new SparkConf();
+
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				removeOutputDir(spark, outputPath);
+				prepareResults(spark, inputPath, outputPath, bipScorePath, inputClazz);
+			});
+	}
+
+	private static <I extends Result> void prepareResults(SparkSession spark, String inputPath, String outputPath,
+		String bipScorePath, Class<I> inputClazz) {
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<BipDeserialize> bipDeserializeJavaRDD = sc
+			.textFile(bipScorePath)
+			.map(item -> OBJECT_MAPPER.readValue(item, BipDeserialize.class));
+
+		Dataset<BipScore> bipScores = spark
+			.createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> {
+				BipScore bs = new BipScore();
+				bs.setId(key);
+				bs.setScoreList(entry.get(key));
+				return bs;
+			}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class));
+
+		System.out.println(bipScores.count());
+
+		Dataset<I> results = readPath(spark, inputPath, inputClazz);
+
+		results.createOrReplaceTempView("result");
+
+		Dataset<PreparedResult> preparedResult = spark
+			.sql(
+				"select pIde.value value, id " +
+					"from result " +
+					"lateral view explode (pid) p as pIde " +
+					"where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'")
+			.as(Encoders.bean(PreparedResult.class));
+
+		bipScores
+			.joinWith(
+				preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")),
+				"inner")
+			.map((MapFunction<Tuple2<BipScore, PreparedResult>, BipScore>) value -> {
+				BipScore ret = value._1();
+				ret.setId(value._2().getId());
+				return ret;
+			}, Encoders.bean(BipScore.class))
+			.groupByKey((MapFunction<BipScore, String>) value -> value.getId(), Encoders.STRING())
+			.mapGroups((MapGroupsFunction<String, BipScore, I>) (k, it) -> {
+				Result ret = inputClazz.newInstance();
+				BipScore first = it.next();
+				ret.setId(first.getId());
+
+				ret.setMeasures(getMeasure(first));
+				it.forEachRemaining(value -> ret.getMeasures().addAll(getMeasure(value)));
+
+				return (I) ret;
+			}, Encoders.bean(inputClazz))
+			.toJavaRDD()
+			.map(p -> new AtomicAction(inputClazz, p))
+			.mapToPair(
+				aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
+					new Text(OBJECT_MAPPER.writeValueAsString(aa))))
+			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
+
+	}
+
+
+	private static List<Measure> getMeasure(BipScore value) {
+		return value
+			.getScoreList()
+			.stream()
+			.map(score -> {
+				Measure m = new Measure();
+				m.setId(score.getId());
+				m
+					.setUnit(
+						score
+							.getUnit()
+							.stream()
+							.map(unit -> {
+								KeyValue kv = new KeyValue();
+								kv.setValue(unit.getValue());
+								kv.setKey(unit.getKey());
+								kv.setDataInfo(getDataInfo());
+								return kv;
+							})
+							.collect(Collectors.toList()));
+				return m;
+			})
+			.collect(Collectors.toList());
+	}
+
+	private static DataInfo getDataInfo() {
+		DataInfo di = new DataInfo();
+		di.setInferred(false);
+		di.setInvisible(false);
+		di.setDeletedbyinference(false);
+		di.setTrust("");
+		Qualifier qualifier = new Qualifier();
+		qualifier.setClassid("sysimport:actionset");
+		qualifier.setClassname("Harvested");
+		qualifier.setSchemename("dnet:provenanceActions");
+		qualifier.setSchemeid("dnet:provenanceActions");
+		di.setProvenanceaction(qualifier);
+		return di;
+	}
+
+	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/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.json

@@ -0,0 +1,20 @@
+[
+  {
+  "paramName": "issm",
+  "paramLongName": "isSparkSessionManaged",
+  "paramDescription": "when true will stop SparkSession after job execution",
+  "paramRequired": false
+},
+{
+"paramName": "ip",
+"paramLongName": "inputPath",
+"paramDescription": "the URL from where to get the programme file",
+"paramRequired": true
+},
+{
+"paramName": "o",
+"paramLongName": "outputPath",
+"paramDescription": "the path of the new ActionSet",
+"paramRequired": true
+}
+]

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/bipfinder/input_parameters.json

@@ -0,0 +1,32 @@
+[
+  {
+  "paramName": "issm",
+  "paramLongName": "isSparkSessionManaged",
+  "paramDescription": "when true will stop SparkSession after job execution",
+  "paramRequired": false
+},
+{
+"paramName": "ip",
+"paramLongName": "inputPath",
+"paramDescription": "the URL from where to get the programme file",
+"paramRequired": true
+},
+{
+"paramName": "o",
+"paramLongName": "outputPath",
+"paramDescription": "the path of the new ActionSet",
+"paramRequired": true
+},
+  {
+    "paramName": "rtn",
+    "paramLongName": "resultTableName",
+    "paramDescription": "the path of the new ActionSet",
+    "paramRequired": true
+  },
+  {
+    "paramName": "bsp",
+    "paramLongName": "bipScorePath",
+    "paramDescription": "the path of the new ActionSet",
+    "paramRequired": true
+  }
+]

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

@@ -0,0 +1,58 @@
+<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>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>com.cloudera.spark.lineage.NavigatorAppListener</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>sparkExecutorNumber</name>
+        <value>4</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>sparkDriverMemory</name>
+        <value>15G</value>
+    </property>
+    <property>
+        <name>sparkExecutorMemory</name>
+        <value>6G</value>
+    </property>
+    <property>
+        <name>sparkExecutorCores</name>
+        <value>1</value>
+    </property>
+</configuration>

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

@@ -0,0 +1,171 @@
+<workflow-app name="BipFinderScore" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>inputPath</name>
+            <description>the input path of the resources to be extended</description>
+        </property>
+
+        <property>
+            <name>bipScorePath</name>
+            <description>the path where to find the bipFinder scores</description>
+        </property>
+        <property>
+            <name>outputPath</name>
+            <description>the path where to store the actionset</description>
+        </property>
+    </parameters>
+
+    <start to="deleteoutputpath"/>
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    <action name="deleteoutputpath">
+        <fs>
+            <delete path='${outputPath}'/>
+            <mkdir path='${outputPath}'/>
+            <delete path='${workingDir}'/>
+            <mkdir path='${workingDir}'/>
+        </fs>
+        <ok to="atomicactions"/>
+        <error to="Kill"/>
+    </action>
+
+    <fork name="atomicactions">
+        <path start="atomicactions_publication"/>
+        <path start="atomicactions_dataset"/>
+        <path start="atomicactions_orp"/>
+        <path start="atomicactions_software"/>
+    </fork>
+
+    <action name="atomicactions_publication">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the atomic action with the bip finder scores for publications</name>
+            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
+            <jar>dhp-aggregation-${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=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--inputPath</arg><arg>${inputPath}/publication</arg>
+            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/publication</arg>
+            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
+        </spark>
+        <ok to="join_aa"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="atomicactions_dataset">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the atomic action with the bip finder scores for datasets</name>
+            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</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>--inputPath</arg><arg>${inputPath}/dataset</arg>
+            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/dataset</arg>
+            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
+        </spark>
+        <ok to="join_aa"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="atomicactions_orp">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the atomic action with the bip finder scores for orp</name>
+            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
+            <jar>dhp-aggregation-${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=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--inputPath</arg><arg>${inputPath}/otherresearchproduct</arg>
+            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/otherresearchproduct</arg>
+            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
+        </spark>
+        <ok to="join_aa"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="atomicactions_software">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Produces the atomic action with the bip finder scores for software</name>
+            <class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</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>--inputPath</arg><arg>${inputPath}/software</arg>
+            <arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
+            <arg>--outputPath</arg><arg>${workingDir}/software</arg>
+            <arg>--bipScorePath</arg><arg>${bipScorePath}</arg>
+        </spark>
+        <ok to="join_aa"/>
+        <error to="Kill"/>
+    </action>
+
+    <join name="join_aa" to="collectandsave"/>
+
+    <action name="collectandsave">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>saves all the aa produced for the several types of results in the as output path</name>
+            <class>eu.dnetlib.dhp.actionmanager.bipfinder.CollectAndSave</class>
+            <jar>dhp-aggregation-${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=${sparkSqlWarehouseDir}
+            </spark-opts>
+            <arg>--inputPath</arg><arg>${workingDir}</arg>
+            <arg>--outputPath</arg><arg>${outputPath}</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/bipfinder/SparkAtomicActionScoreJobTest.java

@@ -0,0 +1,331 @@
+
+package eu.dnetlib.dhp.actionmanager.bipfinder;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.List;
+import java.util.stream.Collectors;
+
+import org.apache.commons.io.FileUtils;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.SequenceFileOutputFormat;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.FilterFunction;
+import org.apache.spark.api.java.function.ForeachFunction;
+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.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.schema.action.AtomicAction;
+import eu.dnetlib.dhp.schema.oaf.*;
+import eu.dnetlib.dhp.schema.oaf.KeyValue;
+import scala.Tuple2;
+
+public class SparkAtomicActionScoreJobTest {
+
+	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
+
+	private static SparkSession spark;
+
+	private static Path workingDir;
+	private static final Logger log = LoggerFactory
+		.getLogger(SparkAtomicActionScoreJobTest.class);
+
+	@BeforeAll
+	public static void beforeAll() throws IOException {
+		workingDir = Files
+			.createTempDirectory(SparkAtomicActionScoreJobTest.class.getSimpleName());
+		log.info("using work dir {}", workingDir);
+
+		SparkConf conf = new SparkConf();
+		conf.setAppName(SparkAtomicActionScoreJobTest.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(SparkAtomicActionScoreJobTest.class.getSimpleName())
+			.config(conf)
+			.getOrCreate();
+	}
+
+	@AfterAll
+	public static void afterAll() throws IOException {
+		FileUtils.deleteDirectory(workingDir.toFile());
+		spark.stop();
+	}
+
+	@Test
+	public void matchOne() throws Exception {
+		String bipScoresPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
+			.getPath();
+		String inputPath = getClass()
+			.getResource(
+				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication.json")
+			.getPath();
+
+		SparkAtomicActionScoreJob
+			.main(
+				new String[] {
+					"-isSparkSessionManaged",
+					Boolean.FALSE.toString(),
+					"-inputPath",
+					inputPath,
+					"-bipScorePath",
+					bipScoresPath,
+					"-resultTableName",
+					"eu.dnetlib.dhp.schema.oaf.Publication",
+					"-outputPath",
+					workingDir.toString() + "/actionSet"
+				});
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<Publication> tmp = sc
+			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
+			.map(aa -> ((Publication) aa.getPayload()));
+
+		Assertions.assertTrue(tmp.count() == 1);
+
+		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
+		verificationDataset.createOrReplaceTempView("publication");
+
+		Dataset<Row> execVerification = spark
+			.sql(
+				"Select p.id oaid, mes.id, mUnit.value from publication p " +
+					"lateral view explode(measures) m as mes " +
+					"lateral view explode(mes.unit) u as mUnit ");
+
+		Assertions.assertEquals(2, execVerification.count());
+
+		Assertions
+			.assertEquals(
+				"50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb",
+				execVerification.select("oaid").collectAsList().get(0).getString(0));
+
+		Assertions
+			.assertEquals(
+				"1.47565045883e-08",
+				execVerification.filter("id = 'influence'").select("value").collectAsList().get(0).getString(0));
+
+		Assertions
+			.assertEquals(
+				"0.227515392",
+				execVerification.filter("id = 'popularity'").select("value").collectAsList().get(0).getString(0));
+
+	}
+
+	@Test
+	public void matchOneWithTwo() throws Exception {
+		String bipScoresPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
+			.getPath();
+		String inputPath = getClass()
+			.getResource(
+				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication_2.json")
+			.getPath();
+
+		SparkAtomicActionScoreJob
+			.main(
+				new String[] {
+					"-isSparkSessionManaged",
+					Boolean.FALSE.toString(),
+					"-inputPath",
+					inputPath,
+					"-bipScorePath",
+					bipScoresPath,
+					"-resultTableName",
+					"eu.dnetlib.dhp.schema.oaf.Publication",
+					"-outputPath",
+					workingDir.toString() + "/actionSet"
+				});
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<Publication> tmp = sc
+			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
+			.map(aa -> ((Publication) aa.getPayload()));
+
+		Assertions.assertTrue(tmp.count() == 1);
+
+		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
+		verificationDataset.createOrReplaceTempView("publication");
+
+		Dataset<Row> execVerification = spark
+			.sql(
+				"Select p.id oaid, mes.id, mUnit.value from publication p " +
+					"lateral view explode(measures) m as mes " +
+					"lateral view explode(mes.unit) u as mUnit ");
+
+		Assertions.assertEquals(4, execVerification.count());
+
+		Assertions
+			.assertEquals(
+				"50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb",
+				execVerification.select("oaid").collectAsList().get(0).getString(0));
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("id = 'influence'").count());
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("id = 'popularity'").count());
+
+		List<Row> tmp_ds = execVerification.filter("id = 'influence'").select("value").collectAsList();
+		String tmp_influence = tmp_ds.get(0).getString(0);
+		Assertions
+			.assertTrue(
+				"1.47565045883e-08".equals(tmp_influence) ||
+					"1.98956540239e-08".equals(tmp_influence));
+
+		tmp_influence = tmp_ds.get(1).getString(0);
+		Assertions
+			.assertTrue(
+				"1.47565045883e-08".equals(tmp_influence) ||
+					"1.98956540239e-08".equals(tmp_influence));
+
+		Assertions.assertTrue(!tmp_ds.get(0).getString(0).equals(tmp_ds.get(1).getString(0)));
+
+	}
+
+	@Test
+	public void matchTwo() throws Exception {
+		String bipScoresPath = getClass()
+			.getResource("/eu/dnetlib/dhp/actionmanager/bipfinder/bip_scores.json")
+			.getPath();
+		String inputPath = getClass()
+			.getResource(
+				"/eu/dnetlib/dhp/actionmanager/bipfinder/publication_3.json")
+			.getPath();
+
+		SparkAtomicActionScoreJob
+			.main(
+				new String[] {
+					"-isSparkSessionManaged",
+					Boolean.FALSE.toString(),
+					"-inputPath",
+					inputPath,
+					"-bipScorePath",
+					bipScoresPath,
+					"-resultTableName",
+					"eu.dnetlib.dhp.schema.oaf.Publication",
+					"-outputPath",
+					workingDir.toString() + "/actionSet"
+				});
+
+		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
+
+		JavaRDD<Publication> tmp = sc
+			.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
+			.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
+			.map(aa -> ((Publication) aa.getPayload()));
+
+		Assertions.assertTrue(tmp.count() == 2);
+
+		Dataset<Publication> verificationDataset = spark.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
+		verificationDataset.createOrReplaceTempView("publication");
+
+		Dataset<Row> execVerification = spark
+			.sql(
+				"Select p.id oaid, mes.id, mUnit.value from publication p " +
+					"lateral view explode(measures) m as mes " +
+					"lateral view explode(mes.unit) u as mUnit ");
+
+		Assertions.assertEquals(4, execVerification.count());
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb'").count());
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09'").count());
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("id = 'influence'").count());
+
+		Assertions
+			.assertEquals(
+				2,
+				execVerification.filter("id = 'popularity'").count());
+
+		Assertions
+			.assertEquals(
+				"1.47565045883e-08",
+				execVerification
+					.filter(
+						"oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " +
+							"and id = 'influence'")
+					.select("value")
+					.collectAsList()
+					.get(0)
+					.getString(0));
+
+		Assertions
+			.assertEquals(
+				"1.98956540239e-08",
+				execVerification
+					.filter(
+						"oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " +
+							"and id = 'influence'")
+					.select("value")
+					.collectAsList()
+					.get(0)
+					.getString(0));
+
+		Assertions
+			.assertEquals(
+				"0.282046161584",
+				execVerification
+					.filter(
+						"oaid = '50|acm_________::faed5b7a1bd8f51118d13ed29cfaee09' " +
+							"and id = 'popularity'")
+					.select("value")
+					.collectAsList()
+					.get(0)
+					.getString(0));
+
+		Assertions
+			.assertEquals(
+				"0.227515392",
+				execVerification
+					.filter(
+						"oaid = '50|355e65625b88::ffa5bad14f4adc0c9a15c00efbbccddb' " +
+							"and id = 'popularity'")
+					.select("value")
+					.collectAsList()
+					.get(0)
+					.getString(0));
+
+	}
+
+}