Implemented class that generates a normalized table of MAG, which is the starting point for the creation of the mag source
This commit is contained in:
parent
ad0e9aa80c
commit
f417515e43
|
@ -1,7 +1,7 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import eu.dnetlib.dhp.application.AbstractScalaApplication
|
||||
import org.apache.spark.sql.{Dataset, Row, SparkSession}
|
||||
import org.apache.spark.sql.{Dataset, Row, SaveMode, SparkSession}
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.types.{StringType, StructField, StructType}
|
||||
import org.slf4j.Logger
|
||||
|
@ -19,21 +19,22 @@ class SparkCreateMagDataset (propertyPath: String, args: Array[String], log: Log
|
|||
}
|
||||
|
||||
|
||||
private def loadAndFilterPapers(spark:SparkSession, crossrefPath:String, magBasePath:String, workingPath): Unit = {
|
||||
private def loadAndFilterPapers(spark:SparkSession, crossrefPath:String, magBasePath:String, workingPath:String): Unit = {
|
||||
|
||||
import spark.implicits._
|
||||
val schema:StructType= StructType(StructField("DOI", StringType)::Nil)
|
||||
log.info("Phase 1 intersect MAG Paper containing doi also present in crossref")
|
||||
|
||||
//Filter all the MAG Papers that intersect with a Crossref DOI
|
||||
val crId= spark.read.schema(schema).json(crossrefPath).withColumn("crId", lower(col("DOI"))).distinct.select("crId")
|
||||
val magPapers = MagUtility.loadMagEntity(spark, "Papers", magBasePath).withColumn("Doi", lower(col("Doi"))).where(col("Doi").isNotNull)
|
||||
val magPapers = MagUtility.loadMagEntity(spark, "Papers", magBasePath)
|
||||
.withColumn("Doi", lower(col("Doi")))
|
||||
.where(col("Doi").isNotNull)
|
||||
|
||||
|
||||
val intersectedPapers:Dataset[Row] =magPapers.join(crId, magPapers("Doi").equalTo(crId("crId")), "leftsemi").dropDuplicates("Doi")
|
||||
intersectedPapers.cache()
|
||||
intersectedPapers.count()
|
||||
log.info("Create current abstract")
|
||||
//log.info("Create current abstract")
|
||||
|
||||
//Abstract is an inverted list, we define a function that convert in string the abstract and recreate
|
||||
// a table(PaperId, Abstract)
|
||||
|
@ -67,11 +68,61 @@ class SparkCreateMagDataset (propertyPath: String, args: Array[String], log: Log
|
|||
.select(j1("*"), affiliations("DisplayName").alias("AffiliationName"), affiliations("GridId"))
|
||||
.groupBy("PaperId")
|
||||
.agg(collect_list(struct("AffiliationId","AuthorSequenceNumber","AffiliationName","AuthorName","AuthorId","GridId")).alias("authors"))
|
||||
val step1 =step0.join(paperAuthorAffiliationNormalized, step0("PaperId")=== paperAuthorAffiliationNormalized("PaperId"), "left").cache()
|
||||
val step1 =step0.join(paperAuthorAffiliationNormalized, step0("PaperId")=== paperAuthorAffiliationNormalized("PaperId"), "left")
|
||||
.select(step0("*"),paperAuthorAffiliationNormalized("authors"))
|
||||
.cache()
|
||||
step1.count()
|
||||
|
||||
step0.unpersist()
|
||||
|
||||
|
||||
val conference = MagUtility.loadMagEntity(spark, "ConferenceInstances", magBasePath).select(
|
||||
$"ConferenceInstanceId",
|
||||
$"DisplayName".as("conferenceName"),
|
||||
$"Location".as("conferenceLocation"),
|
||||
$"StartDate".as("conferenceStartDate"),
|
||||
$"EndDate".as("conferenceEndDate")
|
||||
)
|
||||
|
||||
val step2 =step1.join(conference, step1("ConferenceInstanceId")=== conference("ConferenceInstanceId"),"left").select(
|
||||
step1("*"), conference("conferenceName"),
|
||||
conference("conferenceLocation"),
|
||||
conference("conferenceStartDate"),
|
||||
conference("conferenceEndDate")).cache()
|
||||
step2.count()
|
||||
step1.unpersist()
|
||||
|
||||
val fos = MagUtility.loadMagEntity(spark, "FieldsOfStudy", magBasePath)
|
||||
.select($"FieldOfStudyId".alias("fos"), $"DisplayName", $"MainType")
|
||||
|
||||
val paperFieldsOfStudy = MagUtility.loadMagEntity(spark, "PaperFieldsOfStudy", magBasePath)
|
||||
.select($"FieldOfStudyId", $"Score", $"PaperId")
|
||||
|
||||
val paperFoS = paperFieldsOfStudy.join(broadcast(fos),fos("fos")===paperFieldsOfStudy("FieldOfStudyId")).groupBy("PaperId")
|
||||
.agg(collect_set(struct("FieldOfStudyId","DisplayName","MainType","Score")).as("FoS"))
|
||||
|
||||
val step3=step2.join(paperFoS, step2("PaperId")===paperFoS("PaperId"), "left")
|
||||
.select(step2("*"), paperFoS("FoS")).cache()
|
||||
step3.count()
|
||||
|
||||
step2.unpersist()
|
||||
|
||||
val journals= MagUtility.loadMagEntity(spark, "Journals", magBasePath)
|
||||
.select(
|
||||
$"JournalId",
|
||||
$"DisplayName".as("journalName"),
|
||||
$"Issn".as("journalIssn"),
|
||||
$"Publisher".as("journalPublisher"),
|
||||
$"Webpage".as("journalWebpage")
|
||||
)
|
||||
step3.join(journals, step3("JournalId")===journals("JournalId"), "left").
|
||||
select(step3("*"),
|
||||
journals("journalName"),
|
||||
journals("journalIssn"),
|
||||
journals("journalPublisher"),
|
||||
journals("journalWebpage")
|
||||
).write.mode("OverWrite")
|
||||
.save(s"$workingPath/generatedMAG")
|
||||
step3.unpersist()
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue