forked from D-Net/dnet-hadoop
[DOIBoost Mapping] removed not needed comments
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@ -114,25 +114,6 @@ object SparkProcessMAG {
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.save(s"$workingPath/merge_step_3")
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//no more needed to add the instance to mag records
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// magPubs= spark.read.load(s"$workingPath/merge_step_2_conference").as[Publication]
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// .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
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//
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// val paperUrlDataset = spark.read.load(s"$sourcePath/PaperUrls").as[MagPaperUrl].groupBy("PaperId").agg(collect_list(struct("sourceUrl")).as("instances")).as[MagUrl]
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//
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//
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//
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// logger.info("Phase 5) enrich publication with URL and Instances")
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// magPubs.joinWith(paperUrlDataset, col("_1").equalTo(paperUrlDataset("PaperId")), "left")
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// .map { a: ((String, Publication), MagUrl) => ConversionUtil.addInstances((a._1._2, a._2)) }
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// .write.mode(SaveMode.Overwrite)
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// .save(s"$workingPath/merge_step_3")
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// logger.info("Phase 6) Enrich Publication with description")
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// val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
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// pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/PaperAbstract")
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val paperAbstract = spark.read.load((s"$workingPath/PaperAbstract")).as[MagPaperAbstract]
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@ -171,11 +152,7 @@ object SparkProcessMAG {
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.map(_._2)
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.write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
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// val s:RDD[Publication] = spark.read.load(s"$workingPath/mag_publication").as[Publication]
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// .map(p=>Tuple2(p.getId, p)).rdd.reduceByKey((a:Publication, b:Publication) => ConversionUtil.mergePublication(a,b))
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// .map(_._2)
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//
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// spark.createDataset(s).as[Publication].write.mode(SaveMode.Overwrite).save(s"$targetPath/magPublication")
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}
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}
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