117 lines
3.9 KiB
Java
117 lines
3.9 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.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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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.Utils;
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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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import eu.dnetlib.dhp.schema.oaf.Result;
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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 graphPath = parser.get("graphPath");
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log.info("graphPath: {}", graphPath);
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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(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 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, 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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Dataset<Project> project = Utils.readPath(spark, graphPath + "/project", Project.class);
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results.createOrReplaceTempView("result");
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relations.createOrReplaceTempView("relation");
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project.createOrReplaceTempView("project");
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Dataset<R> tmp = 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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tmp
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.groupByKey(
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(MapFunction<R, String>) value -> value
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.getId(),
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Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, R, R>) (k, it) -> it.next(), 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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.json(outputPath);
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}
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}
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