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@ -24,7 +24,8 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import scala.Tuple2;
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import org.apache.spark.sql.*;
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import eu.dnetlib.dhp.schema.oaf.Project;
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/**
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* Selects the results linked to projects. Only for these results the dump will be performed.
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* The code to perform the dump and to expend the dumped results with the informaiton related to projects
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@ -59,8 +60,8 @@ public class SparkResultLinkedToProject implements Serializable {
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final String resultClassName = parser.get("resultTableName");
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log.info("resultTableName: {}", resultClassName);
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final String relationPath = parser.get("relationPath");
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log.info("relationPath: {}", relationPath);
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final String graphPath = parser.get("graphPath");
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log.info("graphPath: {}", graphPath);
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Class<? extends Result> inputClazz = (Class<? extends Result>) Class.forName(resultClassName);
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SparkConf conf = new SparkConf();
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@ -70,34 +71,32 @@ public class SparkResultLinkedToProject implements Serializable {
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isSparkSessionManaged,
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spark -> {
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Utils.removeOutputDir(spark, outputPath);
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writeResultsLinkedToProjects(spark, inputClazz, inputPath, outputPath, relationPath);
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writeResultsLinkedToProjects(spark, inputClazz, inputPath, outputPath, graphPath);
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});
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}
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private static <R extends Result> void writeResultsLinkedToProjects(SparkSession spark, Class<R> inputClazz,
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String inputPath, String outputPath, String relationPath) {
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String inputPath, String outputPath, String graphPath) {
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Dataset<R> results = Utils
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.readPath(spark, inputPath, inputClazz)
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.filter("dataInfo.deletedbyinference = false and datainfo.invisible = false");
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Dataset<Relation> relations = Utils
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.readPath(spark, relationPath, Relation.class)
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.readPath(spark, graphPath + "/relation", Relation.class)
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.filter(
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"dataInfo.deletedbyinference = false and lower(relClass) = '"
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+ ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'");
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relations
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.joinWith(
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results, relations.col("source").equalTo(results.col("id")),
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"inner")
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.groupByKey(
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(MapFunction<Tuple2<Relation, R>, String>) value -> value
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._2()
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.getId(),
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Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, Tuple2<Relation, R>, R>) (k, it) -> {
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return it.next()._2();
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}, Encoders.bean(inputClazz))
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spark
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.sql(
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"Select res.* " +
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"from relation rel " +
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"join result res " +
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"on rel.source = res.id " +
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"join project p " +
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"on rel.target = p.id " +
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"")
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.as(Encoders.bean(inputClazz))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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