forked from D-Net/dnet-hadoop
85 lines
3.0 KiB
Java
85 lines
3.0 KiB
Java
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package eu.dnetlib.dhp.broker.oa;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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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.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.util.LongAccumulator;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.broker.objects.OaBrokerProject;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.broker.oa.util.BrokerConstants;
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import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
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import eu.dnetlib.dhp.broker.oa.util.ConversionUtils;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.withRels.RelatedProject;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Project;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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public class PrepareRelatedProjectsJob {
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private static final Logger log = LoggerFactory.getLogger(PrepareRelatedProjectsJob.class);
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public static void main(final String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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PrepareRelatedProjectsJob.class
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.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
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parser.parseArgument(args);
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final 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 graphPath = parser.get("graphPath");
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log.info("graphPath: {}", graphPath);
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final String workingDir = parser.get("workingDir");
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log.info("workingDir: {}", workingDir);
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final String relsPath = workingDir + "/relatedProjects";
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log.info("relsPath: {}", relsPath);
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final SparkConf conf = new SparkConf();
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runWithSparkSession(conf, isSparkSessionManaged, spark -> {
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ClusterUtils.removeDir(spark, relsPath);
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final LongAccumulator total = spark.sparkContext().longAccumulator("total_rels");
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final Dataset<OaBrokerProject> projects = ClusterUtils
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.readPath(spark, graphPath + "/project", Project.class)
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.filter(p -> !ClusterUtils.isDedupRoot(p.getId()))
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.map(ConversionUtils::oafProjectToBrokerProject, Encoders.bean(OaBrokerProject.class));
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final Dataset<Relation> rels = ClusterUtils
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.loadRelations(graphPath, spark)
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.filter(r -> r.getDataInfo().getDeletedbyinference())
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.filter(r -> r.getRelType().equals(ModelConstants.RESULT_PROJECT))
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.filter(r -> !r.getRelClass().equals(BrokerConstants.IS_MERGED_IN_CLASS))
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.filter(r -> !ClusterUtils.isDedupRoot(r.getSource()))
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.filter(r -> !ClusterUtils.isDedupRoot(r.getTarget()));
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final Dataset<RelatedProject> dataset = rels
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.joinWith(projects, projects.col("openaireId").equalTo(rels.col("target")), "inner")
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.map(t -> new RelatedProject(t._1.getSource(), t._2), Encoders.bean(RelatedProject.class));
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ClusterUtils.save(dataset, relsPath, RelatedProject.class, total);
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});
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}
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}
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