forked from D-Net/dnet-hadoop
Fixed workflow generation of delta in datacite
This commit is contained in:
parent
b881ee5ef8
commit
3920d68992
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@ -12,7 +12,7 @@ import org.json4s.jackson.JsonMethods.parse
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import scala.collection.JavaConverters._
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import scala.io.Source
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object ScholixUtils {
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object ScholixUtils extends Serializable {
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val DNET_IDENTIFIER_SCHEMA: String = "DNET Identifier"
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@ -24,7 +24,7 @@ object ScholixUtils {
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case class RelatedEntities(id: String, relatedDataset: Long, relatedPublication: Long) {}
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val relations: Map[String, RelationVocabulary] = {
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val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/relations.json")).mkString
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val input = Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/scholexplorer/relation/relations.json")).mkString
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: json4s.JValue = parse(input)
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@ -62,6 +62,11 @@ object ScholixUtils {
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}
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def generateScholixResourceFromResult(r:Result) :ScholixResource = {
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generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
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}
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val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] = new Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] with Serializable {
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override def zero: RelatedEntities = null
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@ -184,6 +189,19 @@ object ScholixUtils {
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}
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def generateCompleteScholix(scholix: Scholix, target: ScholixResource): Scholix = {
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val s = new Scholix
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s.setPublicationDate(scholix.getPublicationDate)
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s.setPublisher(scholix.getPublisher)
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s.setLinkprovider(scholix.getLinkprovider)
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s.setRelationship(scholix.getRelationship)
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s.setSource(scholix.getSource)
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s.setTarget(target)
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s.setIdentifier(DHPUtils.md5(s"${s.getSource.getIdentifier}::${s.getRelationship.getName}::${s.getTarget.getIdentifier}"))
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s
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}
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def generateScholixResourceFromSummary(summaryObject: ScholixSummary): ScholixResource = {
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val r = new ScholixResource
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r.setIdentifier(summaryObject.getLocalIdentifier)
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@ -0,0 +1,19 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>spark2</value>
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</property>
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</configuration>
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@ -0,0 +1,62 @@
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<workflow-app name="Retrieve Scholix Update" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>sourcePath</name>
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<description>the source path of scholix graph</description>
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</property>
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<property>
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<name>datacitePath</name>
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<description>the datacite native path</description>
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</property>
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<property>
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<name>workingSupportPath</name>
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<description>the working Support path</description>
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</property>
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<property>
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<name>isLookupUrl</name>
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<description>The IS lookUp service endopoint</description>
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</property>
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<property>
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<name>updateDS</name>
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<value>false</value>
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<description>The transformation Rule to apply</description>
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</property>
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</parameters>
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<start to="RetrieveDeltaDatacite"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="RetrieveDeltaDatacite">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>New Update from Datacite to Scholix</name>
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<class>eu.dnetlib.dhp.sx.graph.SparkRetrieveDataciteDelta</class>
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<jar>dhp-aggregation-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.shuffle.partitions=6000
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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</spark-opts>
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<arg>--sourcePath</arg><arg>${sourcePath}</arg>
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<arg>--datacitePath</arg><arg>${datacitePath}</arg>
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<arg>--master</arg><arg>yarn</arg>
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<arg>--workingSupportPath</arg><arg>${workingSupportPath}</arg>
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<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
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<arg>--updateDS</arg><arg>${updateDS}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app>
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@ -0,0 +1,41 @@
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[
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{
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"paramName": "s",
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"paramLongName": "sourcePath",
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"paramDescription": "the source mdstore path",
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"paramRequired": true
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},
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{
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"paramName": "d",
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"paramLongName": "datacitePath",
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"paramDescription": "the datacite native path",
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"paramRequired": true
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},
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{
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"paramName": "w",
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"paramLongName": "workingSupportPath",
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"paramDescription": "the working Support path",
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"paramRequired": true
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},
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{
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"paramName": "i",
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"paramLongName": "isLookupUrl",
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"paramDescription": "the isLookup URL",
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"paramRequired": true
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},
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{
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"paramName": "m",
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"paramLongName": "master",
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"paramDescription": "the master name",
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"paramRequired": true
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},
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{
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"paramName": "u",
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"paramLongName": "updateDS",
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"paramDescription": "Need to regenerate all support Dataset",
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"paramRequired": false
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}
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]
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@ -9,9 +9,10 @@ import eu.dnetlib.dhp.schema.sx.scholix.{Scholix, ScholixResource}
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import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
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import eu.dnetlib.dhp.sx.graph.scholix.ScholixUtils
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import eu.dnetlib.dhp.utils.{DHPUtils, ISLookupClientFactory}
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import org.apache.hadoop.fs.{FileSystem, Path}
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import org.apache.spark.sql.functions.max
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
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import org.slf4j.Logger
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import org.slf4j.{Logger, LoggerFactory}
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import scala.collection.JavaConverters._
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import java.text.SimpleDateFormat
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@ -58,14 +59,15 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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def retrieveLastCollectedFrom(spark:SparkSession, entitiesPath:String):Long = {
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log.info("Retrieve last entities collected From")
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implicit val oafEncoder:Encoder[Result] = Encoders.kryo[Result]
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implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
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import spark.implicits._
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val entitiesDS = spark.read.load(s"$entitiesPath/*").as[Result]
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val entitiesDS = spark.read.load(s"$entitiesPath/*").as[Oaf].filter(o =>o.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
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val date = entitiesDS.filter(r => r.getDateofcollection!= null).map(_.getDateofcollection).select(max("value")).first.getString(0)
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ISO8601toEpochMillis(date)
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ISO8601toEpochMillis(date) / 1000
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}
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@ -73,7 +75,7 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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* The method of update Datacite relationships on Scholexplorer
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* needs some utilities data structures
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* One is the scholixResource DS that stores all the nodes in the Scholix Graph
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* in format (dnetID, ScholixResource )
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* in format ScholixResource
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* @param summaryPath the path of the summary in Scholix
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* @param workingPath the working path
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* @param spark the spark session
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@ -84,11 +86,37 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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log.info("Convert All summary to ScholixResource")
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spark.read.load(summaryPath).as[ScholixSummary]
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.map(ScholixUtils.generateScholixResourceFromSummary)
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.map(ScholixUtils.generateScholixResourceFromSummary)(scholixResourceEncoder)
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.filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
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.map(r=> (r.getIdentifier,r))(Encoders.tuple(Encoders.STRING, scholixResourceEncoder))
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.write.mode(SaveMode.Overwrite).save(scholixResourcePath(workingPath))
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.write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_native")
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}
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/**
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* This method convert the new Datacite Resource into Scholix Resource
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* Needed to fill the source and the type of Scholix Relationships
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* @param workingPath the Working Path
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* @param spark The spark Session
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*/
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def addMissingScholixResource(workingPath:String, spark:SparkSession ) :Unit = {
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implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
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implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
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import spark.implicits._
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spark.read.load(dataciteOAFPath(workingPath)).as[Oaf]
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.filter(_.isInstanceOf[Result])
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.map(_.asInstanceOf[Result])
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.map(ScholixUtils.generateScholixResourceFromResult)
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.filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
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.write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_update")
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val update = spark.read.load(s"${scholixResourcePath(workingPath)}_update").as[ScholixResource]
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val native = spark.read.load(s"${scholixResourcePath(workingPath)}_native").as[ScholixResource]
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val graph = update.union(native)
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.groupByKey(_.getDnetIdentifier)
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.reduceGroups((a,b) => if (a!= null && a.getDnetIdentifier!= null) a else b)
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.map(_._2)
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graph.write.mode(SaveMode.Overwrite).save(s"${scholixResourcePath(workingPath)}_graph")
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}
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@ -102,29 +130,20 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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* @param vocabularies Vocabularies needed for transformation
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*/
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def getDataciteUpdate(datacitePath:String, timestamp:Long, workingPath:String, spark:SparkSession,vocabularies: VocabularyGroup): Unit = {
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def getDataciteUpdate(datacitePath:String, timestamp:Long, workingPath:String, spark:SparkSession,vocabularies: VocabularyGroup): Long = {
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import spark.implicits._
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val ds = spark.read.load(datacitePath).as[DataciteType]
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implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
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val total = ds.filter(_.timestamp>=timestamp).count()
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if (total >0) {
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ds.filter(_.timestamp >= timestamp)
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.flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks = true))
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.flatMap(i => fixRelations(i)).filter(i => i != null)
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.write.mode(SaveMode.Overwrite).save(dataciteOAFPath(workingPath))
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}
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/**
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* This method convert an Instance of OAF Result into
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* Scholix Resource
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* @param r The input Result
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* @return The Scholix Resource
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*/
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def resultToScholixResource(r:Result):ScholixResource = {
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ScholixUtils.generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
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total
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}
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/**
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* After added the new ScholixResource, we need to update the scholix Pid Map
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* to intersected with the new Datacite Relations
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@ -135,11 +154,11 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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def generatePidMap(workingPath:String, spark:SparkSession ) :Unit = {
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implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
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import spark.implicits._
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spark.read.load(scholixResourcePath(workingPath)).as[(String,ScholixResource)]
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spark.read.load(s"${scholixResourcePath(workingPath)}_graph").as[ScholixResource]
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.flatMap(r=>
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r._2.getIdentifier.asScala
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r.getIdentifier.asScala
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.map(i =>DHPUtils.generateUnresolvedIdentifier(i.getIdentifier, i.getSchema))
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.map((_, r._1))
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.map(t =>(t, r.getDnetIdentifier))
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)(Encoders.tuple(Encoders.STRING, Encoders.STRING))
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.groupByKey(_._1)
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.reduceGroups((a,b) => if (a!= null && a._2!= null) a else b)
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@ -147,27 +166,6 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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.write.mode(SaveMode.Overwrite).save(pidMapPath(workingPath))
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}
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/**
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* This method convert the new Datacite Resource into Scholix Resource
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* Needed to fill the source and the type of Scholix Relationships
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* @param workingPath the Working Path
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* @param spark The spark Session
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*/
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def addMissingScholixResource(workingPath:String, spark:SparkSession ) :Unit = {
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implicit val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
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implicit val resultEncoder:Encoder[Result] = Encoders.kryo[Result]
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spark.read.load(dataciteOAFPath(workingPath)).as[Oaf]
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.filter(_.isInstanceOf[Result])
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.map(_.asInstanceOf[Result])
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.map(resultToScholixResource)
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.filter(r => r.getIdentifier!= null && r.getIdentifier.size>0)
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.map(r=> (r.getIdentifier,r))(Encoders.tuple(Encoders.STRING, scholixResourceEncoder))
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.write.mode(SaveMode.Append).save(scholixResourcePath(workingPath))
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}
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/**
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* This method resolve the datacite relation and filter the resolved
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* relation
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@ -222,25 +220,26 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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implicit val scholixEncoder:Encoder[Scholix] = Encoders.kryo[Scholix]
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implicit val scholixResourceEncoder:Encoder[ScholixResource] = Encoders.kryo[ScholixResource]
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implicit val relationEncoder:Encoder[Relation] = Encoders.kryo[Relation]
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import spark.implicits._
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implicit val intermediateEncoder :Encoder[(String,Scholix)] = Encoders.tuple(Encoders.STRING, scholixEncoder)
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val relationss:Dataset[(String, Relation)] = spark.read.load(s"$workingPath/ResolvedRelation").as[Relation].map(r =>(r.getSource,r))(Encoders.tuple(Encoders.STRING, relationEncoder))
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val id_summary:Dataset[(String,ScholixResource)] = spark.read.load(scholixResourcePath(workingPath)).as[(String,ScholixResource)]
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val relations:Dataset[(String, Relation)] = spark.read.load(resolvedRelationPath(workingPath)).as[Relation].map(r =>(r.getSource,r))(Encoders.tuple(Encoders.STRING, relationEncoder))
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relationss.joinWith(id_summary, relationss("_1").equalTo(id_summary("_1")),"inner")
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.map(t => (t._1._2.getTarget,ScholixUtils.scholixFromSource(t._1._2, t._2._2)))(Encoders.tuple(Encoders.STRING, scholixEncoder))
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.write.mode(SaveMode.Overwrite)
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.save(s"$workingPath/scholix_one_verse")
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val id_summary:Dataset[(String,ScholixResource)] = spark.read.load(s"${scholixResourcePath(workingPath)}_graph").as[ScholixResource].map(r => (r.getDnetIdentifier,r))(Encoders.tuple(Encoders.STRING, scholixResourceEncoder))
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id_summary.cache()
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relations.joinWith(id_summary, relations("_1").equalTo(id_summary("_1")),"inner")
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.map(t => (t._1._2.getTarget,ScholixUtils.scholixFromSource(t._1._2, t._2._2)))
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.write.mode(SaveMode.Overwrite).save(s"$workingPath/scholix_one_verse")
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val source_scholix:Dataset[(String, Scholix)] =spark.read.load(s"$workingPath/scholix_one_verse").as[(String,Scholix)]
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source_scholix.joinWith(id_summary, source_scholix("_1").equalTo(id_summary("_1")),"inner")
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.map(t => {
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val target = t._2._2
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val scholix = t._1._2
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scholix.setTarget(target)
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scholix
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val target:ScholixResource =t._2._2
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val scholix:Scholix = t._1._2
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ScholixUtils.generateCompleteScholix(scholix,target)
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})(scholixEncoder).write.mode(SaveMode.Overwrite).save(s"$workingPath/scholix")
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}
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@ -259,7 +258,7 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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val datacitePath = parser.get("datacitePath")
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log.info(s"DatacitePath is '$datacitePath'")
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val workingPath = parser.get("workingPath")
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val workingPath = parser.get("workingSupportPath")
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log.info(s"workingPath is '$workingPath'")
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val isLookupUrl: String = parser.get("isLookupUrl")
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@ -279,13 +278,28 @@ class SparkRetrieveDataciteDelta (propertyPath:String, args:Array[String], log:L
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log.info("Retrieve last entities collected From starting from scholix Graph")
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lastCollectionDate = retrieveLastCollectedFrom(spark, s"$sourcePath/entities")
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}
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else {
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val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
|
||||
fs.delete(new Path(s"${scholixResourcePath(workingPath)}_native"), true)
|
||||
fs.rename(new Path(s"${scholixResourcePath(workingPath)}_graph"), new Path(s"${scholixResourcePath(workingPath)}_native"))
|
||||
lastCollectionDate = retrieveLastCollectedFrom(spark, dataciteOAFPath(workingPath))
|
||||
}
|
||||
|
||||
getDataciteUpdate(datacitePath, lastCollectionDate, workingPath, spark, vocabularies)
|
||||
val numRecords = getDataciteUpdate(datacitePath, lastCollectionDate, workingPath, spark, vocabularies)
|
||||
if (numRecords>0) {
|
||||
addMissingScholixResource(workingPath,spark)
|
||||
generatePidMap(workingPath, spark)
|
||||
resolveUpdateRelation(workingPath,spark)
|
||||
generateScholixUpdate(workingPath, spark)
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
object SparkRetrieveDataciteDelta {
|
||||
val log: Logger = LoggerFactory.getLogger(SparkRetrieveDataciteDelta.getClass)
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
new SparkRetrieveDataciteDelta("/eu/dnetlib/dhp/sx/graph/retrieve_datacite_delta_params.json", args, log).initialize().run()
|
||||
}
|
||||
}
|
||||
|
|
|
@ -33,7 +33,8 @@ public class PrepareInfo implements Serializable {
|
|||
private static final Logger log = LoggerFactory.getLogger(PrepareInfo.class);
|
||||
|
||||
// associate orgs with all their parent
|
||||
private static final String ORGANIZATION_ORGANIZATION_QUERY = "SELECT target key, collect_set(source) as valueSet " +
|
||||
private static final String ORGANIZATION_ORGANIZATION_QUERY = "SELECT target key, collect_set(source) as valueSet "
|
||||
+
|
||||
"FROM relation " +
|
||||
"WHERE lower(relclass) = '" + ModelConstants.IS_PARENT_OF.toLowerCase() +
|
||||
"' and datainfo.deletedbyinference = false " +
|
||||
|
|
|
@ -2,7 +2,6 @@
|
|||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
@ -22,13 +21,11 @@ import org.slf4j.Logger;
|
|||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import eu.dnetlib.dhp.KeyValueSet;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
|
||||
public class SparkResultToOrganizationFromSemRel implements Serializable {
|
||||
private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromSemRel.class);
|
||||
private static final int MAX_ITERATION = 5;
|
||||
|
@ -201,6 +198,4 @@ public class SparkResultToOrganizationFromSemRel implements Serializable {
|
|||
.json(outputPath);
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
|
@ -179,7 +179,6 @@ public class StepActions implements Serializable {
|
|||
"GROUP BY resId")
|
||||
.as(Encoders.bean(KeyValueSet.class));
|
||||
|
||||
|
||||
// create new relations from result to organization for each result linked to a leaf
|
||||
return resultParent
|
||||
.flatMap(
|
||||
|
@ -200,7 +199,6 @@ public class StepActions implements Serializable {
|
|||
.iterator(),
|
||||
Encoders.bean(Relation.class));
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -363,6 +363,7 @@ public class PrepareInfoJobTest {
|
|||
Assertions.assertEquals(7, verificationDs.count());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void resultOrganizationTest1() throws Exception {
|
||||
|
||||
|
|
|
@ -1,6 +1,7 @@
|
|||
[
|
||||
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
|
||||
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source Path", "paramRequired": true},
|
||||
{"paramName":"su", "paramLongName":"scholixUpdatePath", "paramDescription": "the scholix updated Path", "paramRequired": false},
|
||||
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the raw graph", "paramRequired": true},
|
||||
{"paramName":"o", "paramLongName":"objectType", "paramDescription": "should be scholix or Summary", "paramRequired": true}
|
||||
]
|
|
@ -90,68 +90,6 @@
|
|||
<arg>--relationPath</arg><arg>${targetPath}/relation</arg>
|
||||
|
||||
</spark>
|
||||
<ok to="DropJSONPath"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="DropJSONPath">
|
||||
<fs>
|
||||
<delete path='${targetPath}/index'/>
|
||||
<mkdir path='${targetPath}/index/'/>
|
||||
</fs>
|
||||
<ok to="SerializeScholix"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="SerializeScholix">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Serialize scholix to JSON</name>
|
||||
<class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.shuffle.partitions=6000
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
<arg>--sourcePath</arg><arg>${targetPath}/provision/scholix/scholix</arg>
|
||||
<arg>--targetPath</arg><arg>${targetPath}/index/scholix_json</arg>
|
||||
<arg>--objectType</arg><arg>scholix</arg>
|
||||
|
||||
</spark>
|
||||
<ok to="SerializeSummary"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="SerializeSummary">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Serialize summary to JSON</name>
|
||||
<class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.shuffle.partitions=6000
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
<arg>--sourcePath</arg><arg>${targetPath}/provision/summaries_filtered</arg>
|
||||
<arg>--targetPath</arg><arg>${targetPath}/index/summaries_json</arg>
|
||||
<arg>--objectType</arg><arg>summary</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
|
|
@ -1,158 +0,0 @@
|
|||
{
|
||||
"cites":{
|
||||
"original":"Cites",
|
||||
"inverse":"IsCitedBy"
|
||||
},
|
||||
"compiles":{
|
||||
"original":"Compiles",
|
||||
"inverse":"IsCompiledBy"
|
||||
},
|
||||
"continues":{
|
||||
"original":"Continues",
|
||||
"inverse":"IsContinuedBy"
|
||||
},
|
||||
"derives":{
|
||||
"original":"IsSourceOf",
|
||||
"inverse":"IsDerivedFrom"
|
||||
},
|
||||
"describes":{
|
||||
"original":"Describes",
|
||||
"inverse":"IsDescribedBy"
|
||||
},
|
||||
"documents":{
|
||||
"original":"Documents",
|
||||
"inverse":"IsDocumentedBy"
|
||||
},
|
||||
"hasmetadata":{
|
||||
"original":"HasMetadata",
|
||||
"inverse":"IsMetadataOf"
|
||||
},
|
||||
"hasassociationwith":{
|
||||
"original":"HasAssociationWith",
|
||||
"inverse":"HasAssociationWith"
|
||||
},
|
||||
"haspart":{
|
||||
"original":"HasPart",
|
||||
"inverse":"IsPartOf"
|
||||
},
|
||||
"hasversion":{
|
||||
"original":"HasVersion",
|
||||
"inverse":"IsVersionOf"
|
||||
},
|
||||
"iscitedby":{
|
||||
"original":"IsCitedBy",
|
||||
"inverse":"Cites"
|
||||
},
|
||||
"iscompiledby":{
|
||||
"original":"IsCompiledBy",
|
||||
"inverse":"Compiles"
|
||||
},
|
||||
"iscontinuedby":{
|
||||
"original":"IsContinuedBy",
|
||||
"inverse":"Continues"
|
||||
},
|
||||
"isderivedfrom":{
|
||||
"original":"IsDerivedFrom",
|
||||
"inverse":"IsSourceOf"
|
||||
},
|
||||
"isdescribedby":{
|
||||
"original":"IsDescribedBy",
|
||||
"inverse":"Describes"
|
||||
},
|
||||
"isdocumentedby":{
|
||||
"original":"IsDocumentedBy",
|
||||
"inverse":"Documents"
|
||||
},
|
||||
"isidenticalto":{
|
||||
"original":"IsIdenticalTo",
|
||||
"inverse":"IsIdenticalTo"
|
||||
},
|
||||
"ismetadatafor":{
|
||||
"original":"IsMetadataFor",
|
||||
"inverse":"IsMetadataOf"
|
||||
},
|
||||
"ismetadataof":{
|
||||
"original":"IsMetadataOf",
|
||||
"inverse":"IsMetadataFor"
|
||||
},
|
||||
"isnewversionof":{
|
||||
"original":"IsNewVersionOf",
|
||||
"inverse":"IsPreviousVersionOf"
|
||||
},
|
||||
"isobsoletedby":{
|
||||
"original":"IsObsoletedBy",
|
||||
"inverse":"Obsoletes"
|
||||
},
|
||||
"isoriginalformof":{
|
||||
"original":"IsOriginalFormOf",
|
||||
"inverse":"IsVariantFormOf"
|
||||
},
|
||||
"ispartof":{
|
||||
"original":"IsPartOf",
|
||||
"inverse":"HasPart"
|
||||
},
|
||||
"ispreviousversionof":{
|
||||
"original":"IsPreviousVersionOf",
|
||||
"inverse":"IsNewVersionOf"
|
||||
},
|
||||
"isreferencedby":{
|
||||
"original":"IsReferencedBy",
|
||||
"inverse":"References"
|
||||
},
|
||||
"isrelatedto":{
|
||||
"original":"IsRelatedTo",
|
||||
"inverse":"IsRelatedTo"
|
||||
},
|
||||
"isrequiredby":{
|
||||
"original":"IsRequiredBy",
|
||||
"inverse":"Requires"
|
||||
},
|
||||
"isreviewedby":{
|
||||
"original":"IsReviewedBy",
|
||||
"inverse":"Reviews"
|
||||
},
|
||||
"issourceof":{
|
||||
"original":"IsSourceOf",
|
||||
"inverse":"IsDerivedFrom"
|
||||
},
|
||||
"issupplementedby":{
|
||||
"original":"IsSupplementedBy",
|
||||
"inverse":"IsSupplementTo"
|
||||
},
|
||||
"issupplementto":{
|
||||
"original":"IsSupplementTo",
|
||||
"inverse":"IsSupplementedBy"
|
||||
},
|
||||
"isvariantformof":{
|
||||
"original":"IsVariantFormOf",
|
||||
"inverse":"IsOriginalFormOf"
|
||||
},
|
||||
"isversionof":{
|
||||
"original":"IsVersionOf",
|
||||
"inverse":"HasVersion"
|
||||
},
|
||||
"obsoletes":{
|
||||
"original":"Obsoletes",
|
||||
"inverse":"IsObsoletedBy"
|
||||
},
|
||||
"references":{
|
||||
"original":"References",
|
||||
"inverse":"IsReferencedBy"
|
||||
},
|
||||
"requires":{
|
||||
"original":"Requires",
|
||||
"inverse":"IsRequiredBy"
|
||||
},
|
||||
"related":{
|
||||
"original":"IsRelatedTo",
|
||||
"inverse":"IsRelatedTo"
|
||||
},
|
||||
"reviews":{
|
||||
"original":"Reviews",
|
||||
"inverse":"IsReviewedBy"
|
||||
},
|
||||
"unknown":{
|
||||
"original":"Unknown",
|
||||
"inverse":"Unknown"
|
||||
}
|
||||
}
|
|
@ -0,0 +1,10 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
</configuration>
|
|
@ -0,0 +1,83 @@
|
|||
<workflow-app name="Create Scholix final Graph" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>scholixUpdatePath</name>
|
||||
<description>the working dir base path of the scholix updated</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>targetPath</name>
|
||||
<description>the final graph path</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="DropJSONPath"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
|
||||
<action name="DropJSONPath">
|
||||
<fs>
|
||||
<delete path='${targetPath}/index'/>
|
||||
<mkdir path='${targetPath}/index/'/>
|
||||
</fs>
|
||||
<ok to="SerializeScholix"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="SerializeScholix">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Serialize scholix to JSON</name>
|
||||
<class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.shuffle.partitions=6000
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
<arg>--sourcePath</arg><arg>${targetPath}/provision/scholix/scholix</arg>
|
||||
<arg>--targetPath</arg><arg>${targetPath}/index/scholix_json</arg>
|
||||
<arg>--scholixUpdatePath</arg><arg>${scholixUpdatePath}</arg>
|
||||
<arg>--objectType</arg><arg>scholix</arg>
|
||||
|
||||
</spark>
|
||||
<ok to="SerializeSummary"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="SerializeSummary">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Serialize summary to JSON</name>
|
||||
<class>eu.dnetlib.dhp.sx.graph.SparkConvertObjectToJson</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.shuffle.partitions=6000
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
<arg>--sourcePath</arg><arg>${targetPath}/provision/summaries_filtered</arg>
|
||||
<arg>--targetPath</arg><arg>${targetPath}/index/summaries_json</arg>
|
||||
<arg>--objectType</arg><arg>summary</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
|
@ -30,6 +30,9 @@ object SparkConvertObjectToJson {
|
|||
log.info(s"targetPath -> $targetPath")
|
||||
val objectType = parser.get("objectType")
|
||||
log.info(s"objectType -> $objectType")
|
||||
val scholixUpdatePath = parser.get("scholixUpdatePath")
|
||||
log.info(s"scholixUpdatePath -> $scholixUpdatePath")
|
||||
|
||||
|
||||
|
||||
implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
|
||||
|
@ -42,7 +45,8 @@ object SparkConvertObjectToJson {
|
|||
case "scholix" =>
|
||||
log.info("Serialize Scholix")
|
||||
val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix]
|
||||
d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(6000).saveAsTextFile(targetPath, classOf[GzipCodec])
|
||||
val u :Dataset[Scholix]= spark.read.load(s"$scholixUpdatePath/scholix").as[Scholix]
|
||||
d.union(u).repartition(8000).map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.saveAsTextFile(targetPath, classOf[GzipCodec])
|
||||
case "summary" =>
|
||||
log.info("Serialize Summary")
|
||||
val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary]
|
||||
|
|
Loading…
Reference in New Issue