renamed function to check content on mdstore

pom.xml

@@ -5,7 +5,7 @@
     <modelVersion>4.0.0</modelVersion>
 
     <groupId>com.sandro</groupId>
-    <artifactId>ZeppelinNotebook</artifactId>
+    <artifactId>dhp-explorer</artifactId>
     <version>1.0-SNAPSHOT</version>
 
     <build>

src/main/java/eu/dnetlib/scholix/CheckMDStoreContent.scala

@@ -0,0 +1,64 @@
+package eu.dnetlib.scholix
+
+import com.sandro.app.AbstractScalaApplication
+import org.apache.spark.sql.SparkSession
+import org.slf4j.{Logger, LoggerFactory}
+import org.json4s.DefaultFormats
+import org.json4s.JsonAST.{JField, JObject, JString}
+import org.json4s.jackson.JsonMethods.parse
+import org.apache.spark.sql.functions.{count,desc}
+
+class CheckMDStoreContent( args: Array[String], log: Logger)  extends AbstractScalaApplication( args: Array[String], log: Logger) {
+
+
+  def get_type(input:String):String = {
+
+
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json: org.json4s.JValue = parse(input)
+
+    val source = (json \ "source").extractOrElse[String](null)
+    if (source != null) {
+      val rel =(json \"relClass").extract[String]
+      s"Relation:$rel"
+    }
+    else {
+      val l: List[String] = for {
+        JObject(instance) <- json \\ "instance"
+        JField("instancetype", JObject(instancetype)) <- instance
+        JField("classname", JString(classname)) <- instancetype
+      } yield classname
+      l.head
+    }
+  }
+
+
+  def show_typologies(spark:SparkSession, path:String): Unit = {
+
+    import spark.implicits._
+    val df = spark.read.text(path).as[String]
+
+    df.map(s =>get_type(s)).groupBy("value").agg(count("value").alias("Total")).orderBy(desc("Total")).show(300, false)
+
+  }
+
+
+  /** Here all the spark applications runs this method
+   * where the whole logic of the spark node is defined
+   */
+  override def run(): Unit = {
+    val path = argumentMap("path")
+    log.warn(s"Path is $path")
+    show_typologies(spark, path)
+  }
+}
+
+
+object CheckMDStoreContent {
+
+  val log:Logger = LoggerFactory.getLogger(getClass.getName)
+
+  def main(args: Array[String]): Unit = {
+    new CheckMDStoreContent(args,log).initialize().run()
+  }
+}

src/main/java/eu/dnetlib/scholix/CheckRelation.scala

@@ -6,6 +6,7 @@ import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 import eu.dnetlib.dhp.schema.oaf.Relation
 import eu.dnetlib.scholix.CheckRelation.logger
+import org.apache.spark.sql.functions.{count, desc}
 
 class CheckRelation( args: Array[String], log: Logger) extends AbstractScalaApplication( args: Array[String], log: Logger)  {
 
@@ -55,13 +56,15 @@ class CheckRelation( args: Array[String], log: Logger) extends AbstractScalaAppl
 
 
 
-    val total_rels_from_scholexplorer = df.map(s=> mapper.readValue(s, classOf[Relation]))
+    df.map(s=> mapper.readValue(s, classOf[Relation]))
       .filter(r => r.getDataInfo != null && !r.getDataInfo.getDeletedbyinference)
       .filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
       .filter(r => filterRelations(r))
-      .count()
+      .map(r => r.getSubRelType).as[String].groupBy("value")
+      .agg(count("value").alias("Total"))
+      .orderBy(desc("Total"))
+      .show(300, truncate = false)
 
-    logger.warn(s"Relation used by Scholexplorer $total_rels_from_scholexplorer/$not_del_rel")
   }