sabeel
/
dnet-hadoop
forked from D-Net/dnet-hadoop
1
0
Fork 0
Code Pull Requests Activity

[DOIBoost Mapping] removed not needed comments

This commit is contained in:
Miriam Baglioni 2021-11-04 16:24:07 +01:00
parent de63d29b6f
commit df7ee77c7a
1 changed files with 1 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

25
dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkProcessMAG.scala
View File

@ -114,25 +114,6 @@ object SparkProcessMAG {
.save(s"$workingPath/merge_step_3")
//no more needed to add the instance to mag records
// magPubs= spark.read.load(s"$workingPath/merge_step_2_conference").as[Publication]
// .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
//
// val paperUrlDataset = spark.read.load(s"$sourcePath/PaperUrls").as[MagPaperUrl].groupBy("PaperId").agg(collect_list(struct("sourceUrl")).as("instances")).as[MagUrl]
//
//
//
// logger.info("Phase 5) enrich publication with URL and Instances")
// magPubs.joinWith(paperUrlDataset, col("_1").equalTo(paperUrlDataset("PaperId")), "left")
// .map { a: ((String, Publication), MagUrl) => ConversionUtil.addInstances((a._1._2, a._2)) }
// .write.mode(SaveMode.Overwrite)
// .save(s"$workingPath/merge_step_3")
// logger.info("Phase 6) Enrich Publication with description")
// val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
// pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/PaperAbstract")
val paperAbstract = spark.read.load((s"$workingPath/PaperAbstract")).as[MagPaperAbstract]
@ -171,11 +152,7 @@ object SparkProcessMAG {
.map(_._2)
.write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
// val s:RDD[Publication] = spark.read.load(s"$workingPath/mag_publication").as[Publication]
// .map(p=>Tuple2(p.getId, p)).rdd.reduceByKey((a:Publication, b:Publication) => ConversionUtil.mergePublication(a,b))
// .map(_._2)
//
// spark.createDataset(s).as[Publication].write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
}
}