dnet-hadoop/dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/GenerateCrossrefDataset.scala

60 lines
2.0 KiB
Scala

package eu.dnetlib.doiboost.crossref
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.doiboost.DoiBoostMappingUtil
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.apache.spark.{SparkConf, SparkContext}
import org.json4s
import org.json4s.DefaultFormats
import org.json4s.jackson.JsonMethods.parse
import org.slf4j.{Logger, LoggerFactory}
import scala.io.Source
object GenerateCrossrefDataset {
val log: Logger = LoggerFactory.getLogger(GenerateCrossrefDataset.getClass)
implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
def crossrefElement(meta: String): CrossrefDT = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json: json4s.JValue = parse(meta)
val doi: String = DoiBoostMappingUtil.normalizeDoi((json \ "DOI").extract[String])
val timestamp: Long = (json \ "indexed" \ "timestamp").extract[Long]
CrossrefDT(doi, meta, timestamp)
}
def main(args: Array[String]): Unit = {
val conf = new SparkConf
val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
parser.parseArgument(args)
val master = parser.get("master")
val sourcePath = parser.get("sourcePath")
val targetPath = parser.get("targetPath")
val spark: SparkSession = SparkSession.builder().config(conf)
.appName(UnpackCrtossrefEntries.getClass.getSimpleName)
.master(master)
.getOrCreate()
val sc: SparkContext = spark.sparkContext
import spark.implicits._
val tmp: RDD[String] = sc.textFile(sourcePath, 6000)
spark.createDataset(tmp)
.map(entry => crossrefElement(entry))
.write.mode(SaveMode.Overwrite).save(targetPath)
// .map(meta => crossrefElement(meta))
// .toDS.as[CrossrefDT]
// .write.mode(SaveMode.Overwrite).save(targetPath)
}
}