forked from D-Net/dnet-hadoop
update function to generete AS as sequence file
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@ -678,7 +678,7 @@ object MagUtility extends Serializable {
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}
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def generateOrganization(r: Row): String = {
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def generateOrganization(r: Row): (String,String) = {
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val o = new Organization
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val affId = s"20|mag_________::${DHPUtils.md5(r.getAs[Long]("AffiliationId").toString)}"
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@ -727,7 +727,7 @@ object MagUtility extends Serializable {
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val a = new AtomicAction[Organization]()
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a.setClazz(classOf[Organization])
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a.setPayload(o)
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mapper.writeValueAsString(a)
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(a.getClazz.getName,mapper.writeValueAsString(a))
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}
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def generateAffiliationRelations(paperAffiliation: Row): List[Relation] = {
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@ -3,6 +3,9 @@ package eu.dnetlib.dhp.collection.mag
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import eu.dnetlib.dhp.application.AbstractScalaApplication
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import eu.dnetlib.dhp.schema.action.AtomicAction
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import eu.dnetlib.dhp.schema.oaf.Organization
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import org.apache.hadoop.io.Text
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import org.apache.hadoop.io.compress.{BZip2Codec, GzipCodec}
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import org.apache.hadoop.mapred.SequenceFileOutputFormat
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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@ -24,9 +27,18 @@ class SparkMagOrganizationAS (propertyPath: String, args: Array[String], log: Lo
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def generateAS(spark:SparkSession, magBasePath:String,outputPath:String ):Unit = {
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import spark.implicits._
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val organizations = MagUtility.loadMagEntity(spark,"Affiliations", magBasePath)
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organizations.map(r => MagUtility.generateOrganization(r)).write.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.text(outputPath)
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organizations
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.map(r => MagUtility.generateOrganization(r))
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.rdd
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.map(s => (new Text(s._1), new Text(s._2)))
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.filter(s => s!=null)
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.saveAsHadoopFile(
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outputPath,
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classOf[Text],
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classOf[Text],
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classOf[SequenceFileOutputFormat[Text, Text]],
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classOf[BZip2Codec]
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)
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}
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}
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