forked from D-Net/dnet-hadoop
minor fix
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72278b9375
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147dd389bf
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@ -23,7 +23,6 @@ object SparkGenerateDoiBoost {
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.master(parser.get("master")).getOrCreate()
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val crossrefPublicationPath = parser.get("crossrefPublicationPath")
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val crossrefDatasetPath = parser.get("crossrefDatasetPath")
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val uwPublicationPath = parser.get("uwPublicationPath")
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@ -46,16 +45,38 @@ object SparkGenerateDoiBoost {
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logger.info("Phase 2) Join Crossref with UnpayWall")
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val crossrefPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
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val uwPublication:Dataset[(String,Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p =>(p.getId, p) )
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val uwPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
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crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")),"left").map(item => {
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def applyMerge(item:((String, Publication), (String, Publication))) : Publication =
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{
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val crossrefPub = item._1._2
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val unpayWallPub = item._1._2
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if(unpayWallPub!= null) {
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crossrefPub.mergeFrom(unpayWallPub)
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if (item._2!= null) {
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val otherPub = item._2._2
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if (otherPub != null) {
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crossrefPub.mergeFrom(otherPub)
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}
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}
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crossrefPub
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}).write.save(s"$workingDirPath/firstJoin")
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}
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crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin")
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logger.info("Phase 3) Join Result with ORCID")
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val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
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val orcidPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/orcidPublication").as[Publication].map(p => (p.getId, p))
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fj.joinWith(orcidPublication, fj("_1").equalTo(orcidPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/secondJoin")
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logger.info("Phase 3) Join Result with MAG")
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val sj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/secondJoin").as[Publication].map(p => (p.getId, p))
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sj.where(sj("_1").like())
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val magPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/magPublication").as[Publication].map(p => (p.getId, p))
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sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublication")
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}
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@ -40,7 +40,7 @@
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<start to="ResetWorkingPath"/>
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<start to="CreateDOIBoost"/>
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<kill name="Kill">
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