forked from D-Net/dnet-hadoop
Added node to update datacite
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package eu.dnetlib.dhp.actionmanager.datacite
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
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import org.apache.hadoop.conf.Configuration
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import org.apache.hadoop.fs.LocalFileSystem
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import org.apache.hadoop.hdfs.DistributedFileSystem
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
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import org.apache.spark.sql.functions.max
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import org.slf4j.{Logger, LoggerFactory}
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import java.text.SimpleDateFormat
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import java.util.{Date, Locale}
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import scala.io.Source
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object SparkDownloadUpdateDatacite {
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val log: Logger = LoggerFactory.getLogger(getClass)
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def main(args: Array[String]): Unit = {
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val conf = new SparkConf
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val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/actionmanager/datacite/generate_dataset_params.json")).mkString)
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parser.parseArgument(args)
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val master = parser.get("master")
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val sourcePath = parser.get("sourcePath")
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val workingPath = parser.get("workingPath")
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val hdfsuri = parser.get("namenode")
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log.info(s"namenode is $hdfsuri")
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val spark: SparkSession = SparkSession.builder().config(conf)
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.appName(getClass.getSimpleName)
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.master(master)
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.getOrCreate()
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implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
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implicit val resEncoder: Encoder[Result] = Encoders.kryo[Result]
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import spark.implicits._
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val maxDate:String = spark.read.load(workingPath).as[Oaf].filter(s => s.isInstanceOf[Result]).map(r => r.asInstanceOf[Result].getDateofcollection).select(max("value")).first().getString(0)
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val ISO8601FORMAT = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssZ", Locale.US)
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val string_to_date =ISO8601FORMAT.parse(maxDate)
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val ts = string_to_date.getTime
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}
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}
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