dnet-hadoop/dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/collection/mag/SparkMAGtoOAF.scala

84 lines
3.1 KiB
Scala

package eu.dnetlib.dhp.collection.mag
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.application.AbstractScalaApplication
import eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.Relation
import org.apache.spark.sql.functions.col
import org.apache.spark.sql.types.{ArrayType, StringType, StructField, StructType}
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
class SparkMAGtoOAF(propertyPath: String, args: Array[String], log: Logger)
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
/** Here all the spark applications runs this method
* where the whole logic of the spark node is defined
*/
override def run(): Unit = {
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info(s"mdstoreOutputVersion is '$mdstoreOutputVersion'")
val mapper = new ObjectMapper()
val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info(s"outputBasePath is '$outputBasePath'")
val mdstorePath = s"$outputBasePath$MDSTORE_DATA_PATH"
val magBasePath: String = parser.get("magBasePath")
log.info("found parameters magBasePath: {}", magBasePath)
convertMAG(spark, magBasePath, mdstorePath)
generateAffiliations(spark, magBasePath, mdstorePath)
reportTotalSize(mdstorePath, outputBasePath)
}
def convertMAG(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
import spark.implicits._
spark.read
.load(s"$magBasePath/mag_denormalized")
.as[MAGPaper]
.map(s => MagUtility.convertMAGtoOAF(s))
.filter(s => s != null)
.write
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.text(mdStorePath)
}
def generateAffiliations(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
implicit val relEncoder: Encoder[Relation] = Encoders.bean(classOf[Relation])
val schema = new StructType()
.add(StructField("id", StringType))
.add(StructField("originalId", ArrayType(StringType)))
val generatedMag =
spark.read.schema(schema).json(mdStorePath).selectExpr("explode(originalId) as PaperId").distinct()
val paperAuthorAffiliations = MagUtility
.loadMagEntity(spark, "PaperAuthorAffiliations", magBasePath)
.where(col("AffiliationId").isNotNull)
.select("PaperId", "AffiliationId")
.distinct
paperAuthorAffiliations
.join(generatedMag, paperAuthorAffiliations("PaperId") === generatedMag("PaperId"), "leftsemi")
.flatMap(r => MagUtility.generateAffiliationRelations(r))
.write
.option("compression", "gzip")
.mode(SaveMode.Append)
.json(mdStorePath)
}
}
object SparkMAGtoOAF {
val log: Logger = LoggerFactory.getLogger(SparkMAGtoOAF.getClass)
def main(args: Array[String]): Unit = {
new SparkMAGtoOAF("/eu/dnetlib/dhp/collection/mag/convert_MAG_to_OAF_properties.json", args, log)
.initialize()
.run()
}
}