44 lines
1.7 KiB
Scala
44 lines
1.7 KiB
Scala
|
package eu.dnetlib.dhp.sx.graph
|
||
|
import com.cloudera.com.fasterxml.jackson.databind.ObjectMapper
|
||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||
|
import eu.dnetlib.dhp.schema.oaf.{OtherResearchProduct, Publication, Result, Software, Dataset => OafDataset}
|
||
|
import org.apache.commons.io.IOUtils
|
||
|
import org.apache.spark.SparkConf
|
||
|
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||
|
import org.slf4j.{Logger, LoggerFactory}
|
||
|
object SparkConvertRDDtoDataset {
|
||
|
|
||
|
def main(args: Array[String]): Unit = {
|
||
|
val entities = List(
|
||
|
("dataset", classOf[OafDataset]),
|
||
|
("otherresearchproduct", classOf[OtherResearchProduct]),
|
||
|
("publication", classOf[Publication]),
|
||
|
("software", classOf[Software])
|
||
|
)
|
||
|
|
||
|
val log: Logger = LoggerFactory.getLogger(getClass)
|
||
|
val conf: SparkConf = new SparkConf()
|
||
|
val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_dataset_json_params.json")))
|
||
|
parser.parseArgument(args)
|
||
|
val spark: SparkSession =
|
||
|
SparkSession
|
||
|
.builder()
|
||
|
.config(conf)
|
||
|
.appName(getClass.getSimpleName)
|
||
|
.master(parser.get("master")).getOrCreate()
|
||
|
|
||
|
val sourcePath = parser.get("sourcePath")
|
||
|
log.info(s"sourcePath -> $sourcePath")
|
||
|
val targetPath = parser.get("targetPath")
|
||
|
log.info(s"targetPath -> $targetPath")
|
||
|
val mapper = new ObjectMapper()
|
||
|
implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
|
||
|
|
||
|
entities.foreach{
|
||
|
e =>
|
||
|
val rdd =spark.sparkContext.textFile(s"$sourcePath/${e._1}").map(s => mapper.readValue(s, e._2))
|
||
|
spark.createDataset(rdd).as[Result].write.mode(SaveMode.Overwrite).save(s"$targetPath/${e._1}")
|
||
|
}
|
||
|
}
|
||
|
}
|