diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala
index 096217a552..579ce8d429 100644
--- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala
+++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala
@@ -14,7 +14,7 @@ import scala.collection.JavaConverters._
 import scala.collection.mutable
 import scala.util.matching.Regex
 
-case class CrossrefDT(doi: String, json:String) {}
+case class CrossrefDT(doi: String, json:String, timestamp: Long) {}
 
 case class mappingAffiliation(name: String) {}
 
diff --git a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala
index fac4c90b47..08319058c7 100644
--- a/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala
+++ b/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala
@@ -29,69 +29,90 @@ object SparkMapDumpIntoOAF {
         .appName(SparkMapDumpIntoOAF.getClass.getSimpleName)
         .master(parser.get("master")).getOrCreate()
 
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
     implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
     implicit val mapEncoderRelatons: Encoder[Relation] = Encoders.kryo[Relation]
     implicit val mapEncoderDatasets: Encoder[oaf.Dataset] = Encoders.kryo[OafDataset]
 
     val sc = spark.sparkContext
     val targetPath = parser.get("targetPath")
+    import spark.implicits._
 
 
-    sc.sequenceFile(parser.get("sourcePath"), classOf[IntWritable], classOf[Text])
-      .map(k => k._2.toString).map(CrossrefImporter.decompressBlob)
-      .flatMap(k => Crossref2Oaf.convert(k)).saveAsObjectFile(s"${targetPath}/mixObject")
-
-    val inputRDD = sc.objectFile[Oaf](s"${targetPath}/mixObject").filter(p=> p!= null)
-
-    val distinctPubs:RDD[Publication] = inputRDD.filter(k => k != null && k.isInstanceOf[Publication])
-      .map(k => k.asInstanceOf[Publication]).map { p: Publication => Tuple2(p.getId, p) }.reduceByKey { case (p1: Publication, p2: Publication) =>
-      var r = if (p1 == null) p2 else p1
-      if (p1 != null && p2 != null) {
-        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
-          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
-            r = p2
-          else
-            r = p1
-        } else {
-          r = if (p1.getLastupdatetimestamp == null) p2 else p1
-        }
-      }
-      r
-    }.map(_._2)
-
-    val pubs:Dataset[Publication] = spark.createDataset(distinctPubs)
-    pubs.write.mode(SaveMode.Overwrite).save(s"${targetPath}/publication")
+    spark.read.load(parser.get("sourcePath")).as[CrossrefDT]
+      .flatMap(k => Crossref2Oaf.convert(k.json))
+      .filter(o => o != null)
+      .write.mode(SaveMode.Overwrite).save(s"$targetPath/mixObject")
 
 
-    val distincDatasets:RDD[OafDataset] = inputRDD.filter(k => k != null && k.isInstanceOf[OafDataset])
-      .map(k => k.asInstanceOf[OafDataset]).map(p => Tuple2(p.getId, p)).reduceByKey { case (p1: OafDataset, p2: OafDataset) =>
-      var r = if (p1 == null) p2 else p1
-      if (p1 != null && p2 != null) {
-        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
-          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
-            r = p2
-          else
-            r = p1
-        } else {
-          r = if (p1.getLastupdatetimestamp == null) p2 else p1
-        }
-      }
-      r
-    }.map(_._2)
+    val ds:Dataset[Oaf] = spark.read.load(s"$targetPath/mixObject").as[Oaf]
 
-    spark.createDataset(distincDatasets).write.mode(SaveMode.Overwrite).save(s"${targetPath}/dataset")
+    ds.filter(o => o.isInstanceOf[Publication]).map(o => o.asInstanceOf[Publication]).write.save(s"$targetPath/publication")
+
+    ds.filter(o => o.isInstanceOf[Relation]).map(o => o.asInstanceOf[Relation]).write.save(s"$targetPath/relation")
+
+    ds.filter(o => o.isInstanceOf[OafDataset]).map(o => o.asInstanceOf[OafDataset]).write.save(s"$targetPath/dataset")
 
 
 
-    val distinctRels =inputRDD.filter(k => k != null && k.isInstanceOf[Relation])
-      .map(k => k.asInstanceOf[Relation]).map(r=> (s"${r.getSource}::${r.getTarget}",r))
-      .reduceByKey { case (p1: Relation, p2: Relation) =>
-        if (p1 == null) p2 else p1
-      }.map(_._2)
-
-    val rels: Dataset[Relation] = spark.createDataset(distinctRels)
-
-    rels.write.mode(SaveMode.Overwrite).save(s"${targetPath}/relations")
+//
+//
+//
+//    sc.sequenceFile(parser.get("sourcePath"), classOf[IntWritable], classOf[Text])
+//      .map(k => k._2.toString).map(CrossrefImporter.decompressBlob)
+//      .flatMap(k => Crossref2Oaf.convert(k)).saveAsObjectFile(s"${targetPath}/mixObject")
+//
+//    val inputRDD = sc.objectFile[Oaf](s"${targetPath}/mixObject").filter(p=> p!= null)
+//
+//    val distinctPubs:RDD[Publication] = inputRDD.filter(k => k != null && k.isInstanceOf[Publication])
+//      .map(k => k.asInstanceOf[Publication]).map { p: Publication => Tuple2(p.getId, p) }.reduceByKey { case (p1: Publication, p2: Publication) =>
+//      var r = if (p1 == null) p2 else p1
+//      if (p1 != null && p2 != null) {
+//        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
+//          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
+//            r = p2
+//          else
+//            r = p1
+//        } else {
+//          r = if (p1.getLastupdatetimestamp == null) p2 else p1
+//        }
+//      }
+//      r
+//    }.map(_._2)
+//
+//    val pubs:Dataset[Publication] = spark.createDataset(distinctPubs)
+//    pubs.write.mode(SaveMode.Overwrite).save(s"${targetPath}/publication")
+//
+//
+//    val distincDatasets:RDD[OafDataset] = inputRDD.filter(k => k != null && k.isInstanceOf[OafDataset])
+//      .map(k => k.asInstanceOf[OafDataset]).map(p => Tuple2(p.getId, p)).reduceByKey { case (p1: OafDataset, p2: OafDataset) =>
+//      var r = if (p1 == null) p2 else p1
+//      if (p1 != null && p2 != null) {
+//        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
+//          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
+//            r = p2
+//          else
+//            r = p1
+//        } else {
+//          r = if (p1.getLastupdatetimestamp == null) p2 else p1
+//        }
+//      }
+//      r
+//    }.map(_._2)
+//
+//    spark.createDataset(distincDatasets).write.mode(SaveMode.Overwrite).save(s"${targetPath}/dataset")
+//
+//
+//
+//    val distinctRels =inputRDD.filter(k => k != null && k.isInstanceOf[Relation])
+//      .map(k => k.asInstanceOf[Relation]).map(r=> (s"${r.getSource}::${r.getTarget}",r))
+//      .reduceByKey { case (p1: Relation, p2: Relation) =>
+//        if (p1 == null) p2 else p1
+//      }.map(_._2)
+//
+//    val rels: Dataset[Relation] = spark.createDataset(distinctRels)
+//
+//    rels.write.mode(SaveMode.Overwrite).save(s"${targetPath}/relations")
   }
 
 
diff --git a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/workflow.xml b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/workflow.xml
index be4a45afe5..a9cc9ea3cd 100644
--- a/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/workflow.xml
@@ -16,10 +16,10 @@
             <name>sparkExecutorCores</name>
             <description>number of cores used by single executor</description>
         </property>
-        <property>
-            <name>timestamp</name>
-            <description>Timestamp for incremental Harvesting</description>
-        </property>
+<!--        <property>-->
+<!--            <name>timestamp</name>-->
+<!--            <description>Timestamp for incremental Harvesting</description>-->
+<!--        </property>-->
 
     </parameters>
 
@@ -30,29 +30,29 @@
         <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
     </kill>
 
-    <action name="ResetWorkingPath">
-        <fs>
-            <delete path='${workingPath}/input/crossref/index_dump'/>
-<!--            <mkdir path='${workingPath}/input/crossref'/>-->
-        </fs>
-        <ok to="ImportCrossRef"/>
-        <error to="Kill"/>
-    </action>
+<!--    <action name="ResetWorkingPath">-->
+<!--        <fs>-->
+<!--            <delete path='${workingPath}/input/crossref/index_dump'/>-->
+<!--&lt;!&ndash;            <mkdir path='${workingPath}/input/crossref'/>&ndash;&gt;-->
+<!--        </fs>-->
+<!--        <ok to="ImportCrossRef"/>-->
+<!--        <error to="Kill"/>-->
+<!--    </action>-->
 
 
 
-    <action name="ImportCrossRef">
-        <java>
-            <job-tracker>${jobTracker}</job-tracker>
-            <name-node>${nameNode}</name-node>
-            <main-class>eu.dnetlib.doiboost.crossref.CrossrefImporter</main-class>
-            <arg>-t</arg><arg>${workingPath}/input/crossref/index_dump_1</arg>
-            <arg>-n</arg><arg>${nameNode}</arg>
-            <arg>-ts</arg><arg>${timestamp}</arg>
-        </java>
-        <ok to="End"/>
-        <error to="Kill"/>
-    </action>
+<!--    <action name="ImportCrossRef">-->
+<!--        <java>-->
+<!--            <job-tracker>${jobTracker}</job-tracker>-->
+<!--            <name-node>${nameNode}</name-node>-->
+<!--            <main-class>eu.dnetlib.doiboost.crossref.CrossrefImporter</main-class>-->
+<!--            <arg>-t</arg><arg>${workingPath}/input/crossref/index_dump_1</arg>-->
+<!--            <arg>-n</arg><arg>${nameNode}</arg>-->
+<!--            <arg>-ts</arg><arg>${timestamp}</arg>-->
+<!--        </java>-->
+<!--        <ok to="End"/>-->
+<!--        <error to="Kill"/>-->
+<!--    </action>-->
 
 
     <action name="ExtractCrossrefToOAF">
@@ -68,7 +68,7 @@
                 --driver-memory=${sparkDriverMemory}
                 ${sparkExtraOPT}
             </spark-opts>
-            <arg>--sourcePath</arg><arg>${workingPath}/input/crossref/index_dump,${workingPath}/input/crossref/index_dump_1,${workingPath}/crossref/index_dump</arg>
+            <arg>--sourcePath</arg><arg>${workingPath}/input/crossref/crossref_ds</arg>
             <arg>--targetPath</arg><arg>${workingPath}/input/crossref</arg>
             <arg>--master</arg><arg>yarn-cluster</arg>
         </spark>
@@ -78,26 +78,26 @@
 
 
 
-    <action name="GenerateDataset">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn-cluster</master>
-            <mode>cluster</mode>
-            <name>ExtractCrossrefToOAF</name>
-            <class>eu.dnetlib.doiboost.crossref.CrossrefDataset</class>
-            <jar>dhp-doiboost-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                ${sparkExtraOPT}
-            </spark-opts>
-            <arg>--sourcePath</arg><arg>/data/doiboost/crossref/cr_dataset</arg>
-            <arg>--targetPath</arg><arg>/data/doiboost/crossref/crossrefDataset</arg>
-            <arg>--master</arg><arg>yarn-cluster</arg>
-        </spark>
-        <ok to="End"/>
-        <error to="Kill"/>
-    </action>
+<!--    <action name="GenerateDataset">-->
+<!--        <spark xmlns="uri:oozie:spark-action:0.2">-->
+<!--            <master>yarn-cluster</master>-->
+<!--            <mode>cluster</mode>-->
+<!--            <name>ExtractCrossrefToOAF</name>-->
+<!--            <class>eu.dnetlib.doiboost.crossref.CrossrefDataset</class>-->
+<!--            <jar>dhp-doiboost-${projectVersion}.jar</jar>-->
+<!--            <spark-opts>-->
+<!--                &#45;&#45;executor-memory=${sparkExecutorMemory}-->
+<!--                &#45;&#45;executor-cores=${sparkExecutorCores}-->
+<!--                &#45;&#45;driver-memory=${sparkDriverMemory}-->
+<!--                ${sparkExtraOPT}-->
+<!--            </spark-opts>-->
+<!--            <arg>&#45;&#45;sourcePath</arg><arg>/data/doiboost/crossref/cr_dataset</arg>-->
+<!--            <arg>&#45;&#45;targetPath</arg><arg>/data/doiboost/crossref/crossrefDataset</arg>-->
+<!--            <arg>&#45;&#45;master</arg><arg>yarn-cluster</arg>-->
+<!--        </spark>-->
+<!--        <ok to="End"/>-->
+<!--        <error to="Kill"/>-->
+<!--    </action>-->
 
     <end name="End"/>
 </workflow-app>
\ No newline at end of file