applied unique function on the final dataset
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@ -7,6 +7,7 @@ import eu.dnetlib.dhp.schema.oaf.{Organization, Publication, Relation, Dataset =
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import eu.dnetlib.doiboost.mag.ConversionUtil
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import org.apache.commons.io.IOUtils
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.expressions.Aggregator
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import org.apache.spark.sql.functions.col
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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@ -15,6 +16,9 @@ import scala.collection.JavaConverters._
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object SparkGenerateDoiBoost {
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def main(args: Array[String]): Unit = {
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val logger: Logger = LoggerFactory.getLogger(getClass)
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@ -33,6 +37,54 @@ object SparkGenerateDoiBoost {
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val hostedByMapPath = parser.get("hostedByMapPath")
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val workingDirPath = parser.get("workingPath")
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val crossrefAggregator = new Aggregator[(String, Publication), Publication, Publication] with Serializable {
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override def zero: Publication = new Publication
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override def reduce(b: Publication, a: (String, Publication)): Publication = {
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if (b == null) {
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if (a != null && a._2 != null) {
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a._2.setId(a._1)
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return a._2
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}
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}
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else {
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if (a != null && a._2 != null) {
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b.mergeFrom(a._2)
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b.setId(a._1)
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val authors =AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
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b.setAuthor(authors)
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return b
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}
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}
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new Publication
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}
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override def merge(b1: Publication, b2: Publication): Publication = {
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if (b1 == null) {
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if (b2 != null)
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return b2
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}
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else {
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if (b2 != null ) {
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b1.mergeFrom(b2)
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val authors =AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
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b1.setAuthor(authors)
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if (b2.getId!= null && b2.getId.nonEmpty)
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b1.setId(b2.getId)
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return b1
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}
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}
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new Publication
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}
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override def finish(reduction: Publication): Publication = reduction
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override def bufferEncoder: Encoder[Publication] = Encoders.kryo[Publication]
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override def outputEncoder: Encoder[Publication] = Encoders.kryo[Publication]
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}
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implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
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implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
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@ -77,6 +129,10 @@ object SparkGenerateDoiBoost {
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doiBoostPublication.joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left")
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.map(DoiBoostMappingUtil.fixPublication)
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.map(p => (p.getId, p))
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.groupByKey(_._1)
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.agg(crossrefAggregator.toColumn)
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.map(p => p._2)
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.write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationFiltered")
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val affiliationPath = parser.get("affiliationPath")
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