forked from antonis.lempesis/dnet-hadoop
refactoring and addition of the funder nsp first part as nome for the dump insteasd of the whole nsp
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@ -6,6 +6,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.*;
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import eu.dnetlib.dhp.oa.graph.dump.Constants;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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@ -72,7 +73,7 @@ public class SparkDumpFunderResults implements Serializable {
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Dataset<Relation> relation = Utils
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.readPath(spark, relationPath + "/relation", Relation.class)
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.filter("dataInfo.deletedbyinference = false and relClass = 'isProducedBy'");
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.filter("dataInfo.deletedbyinference = false and lower(relClass) = '" + Constants.RESULT_PROJECT_IS_PRODUCED_BY.toLowerCase()+ "'");
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Dataset<CommunityResult> result = Utils
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.readPath(spark, inputPath + "/publication", CommunityResult.class)
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@ -86,13 +87,22 @@ public class SparkDumpFunderResults implements Serializable {
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.distinct()
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.collectAsList();
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// Dataset<CommunityResult> results = result
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// .joinWith(relation, result.col("id").equalTo(relation.col("target")), "inner")
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// .map((MapFunction<Tuple2<CommunityResult, Relation>, CommunityResult>) value -> {
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// return value._1();
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// }, Encoders.bean(CommunityResult.class));
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funderList.forEach(funder -> writeFunderResult(funder, result, outputPath));
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funderList.forEach(funder -> {
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String fundernsp = funder.substring(3);
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String funderdump;
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if (fundernsp.startsWith("corda")){
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funderdump = "EC_";
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if(fundernsp.endsWith("h2020")){
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funderdump += "H2020";
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}else{
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funderdump += "FP7";
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}
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}else{
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funderdump = fundernsp.substring(0, fundernsp.indexOf("_")).toUpperCase();
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}
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writeFunderResult(funder, result, outputPath + "/" + funderdump);
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});
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}
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@ -113,7 +123,7 @@ public class SparkDumpFunderResults implements Serializable {
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(outputPath + "/" + funder);
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.json(outputPath);
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}
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}
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