112 lines
4.0 KiB
Java
112 lines
4.0 KiB
Java
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package eu.dnetlib.dhp.oa.graph.dump.funderresults;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.Optional;
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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.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.oa.graph.dump.Constants;
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import eu.dnetlib.dhp.oa.graph.dump.ResultMapper;
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import eu.dnetlib.dhp.oa.graph.dump.Utils;
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import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
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import eu.dnetlib.dhp.oa.graph.dump.community.ResultProject;
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import eu.dnetlib.dhp.oa.model.community.CommunityResult;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import scala.Tuple2;
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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 information related to projects
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* is the one used for the dump of the community products
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*/
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public class SparkResultLinkedToProject implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkResultLinkedToProject.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkResultLinkedToProject.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/dump/input_parameters_link_prj.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final String resultClassName = parser.get("resultTableName");
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log.info("resultTableName: {}", resultClassName);
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final String resultProjectsPath = parser.get("graphPath");
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log.info("graphPath: {}", resultProjectsPath);
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String communityMapPath = parser.get("communityMapPath");
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@SuppressWarnings("unchecked")
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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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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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Utils.removeOutputDir(spark, outputPath);
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writeResultsLinkedToProjects(
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communityMapPath, spark, inputClazz, inputPath, outputPath, resultProjectsPath);
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});
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}
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private static <R extends Result> void writeResultsLinkedToProjects(String communityMapPath, SparkSession spark,
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Class<R> inputClazz,
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String inputPath, String outputPath, String resultProjectsPath) {
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Dataset<R> results = Utils
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.readPath(spark, inputPath, inputClazz)
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.filter(
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(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
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!r.getDataInfo().getInvisible());
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Dataset<ResultProject> resultProjectDataset = Utils
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.readPath(spark, resultProjectsPath, ResultProject.class);
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CommunityMap communityMap = Utils.getCommunityMap(spark, communityMapPath);
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results
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.joinWith(resultProjectDataset, results.col("id").equalTo(resultProjectDataset.col("resultId")))
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.map((MapFunction<Tuple2<R, ResultProject>, CommunityResult>) t2 -> {
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CommunityResult cr = (CommunityResult) ResultMapper
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.map(
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t2._1(),
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communityMap, Constants.DUMPTYPE.FUNDER.getType());
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cr.setProjects(t2._2().getProjectsList());
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return cr;
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}, Encoders.bean(CommunityResult.class))
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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);
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}
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}
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