creates the crossref dataset used for doiboost together with unpacking part from tar
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@ -1,13 +1,12 @@
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package eu.dnetlib.doiboost.crossref
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.doiboost.crossref.UnpackCrossrefDumpEntries.getClass
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import org.apache.hadoop.io.compress.GzipCodec
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import org.apache.spark.{SparkConf, SparkContext}
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.jackson.JsonMethods.parse
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import org.json4s.JsonAST.JArray
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import org.json4s.jackson.JsonMethods.{compact, parse, render}
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import org.slf4j.{Logger, LoggerFactory}
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import scala.io.Source
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@ -18,6 +17,13 @@ object GenerateCrossrefDataset {
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implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
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def extractDump(input:String):List[String] = {
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: json4s.JValue = parse(input)
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val a = (json \ "items").extract[JArray]
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a.arr.map(s => compact(render(s)))
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}
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def crossrefElement(meta: String): CrossrefDT = {
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@ -25,7 +31,7 @@ object GenerateCrossrefDataset {
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lazy val json: json4s.JValue = parse(meta)
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val doi:String = (json \ "DOI").extract[String]
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val timestamp: Long = (json \ "indexed" \ "timestamp").extract[Long]
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new CrossrefDT(doi, meta, timestamp)
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CrossrefDT(doi, meta, timestamp)
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}
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@ -45,9 +51,20 @@ object GenerateCrossrefDataset {
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import spark.implicits._
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sc.textFile(sourcePath,6000)
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def extractDump(input:String):List[String] = {
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: json4s.JValue = parse(input)
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val a = (json \ "items").extract[JArray]
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a.arr.map(s => compact(render(s)))
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}
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// sc.textFile(sourcePath,6000)
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sc.wholeTextFiles(sourcePath,6000).flatMap(d =>extractDump(d._2))
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.map(meta => crossrefElement(meta))
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.toDS()
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.toDS()//.as[CrossrefDT]
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.write.mode(SaveMode.Overwrite).save(targetPath)
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}
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