123 lines
3.9 KiB
Java
123 lines
3.9 KiB
Java
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package eu.dnetlib.dhp.oa.graph.dump.complete;
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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.sql.Dataset;
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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.oa.model.graph.GraphResult;
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import eu.dnetlib.dhp.oa.model.graph.Relation;
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/**
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* Reads all the entities of the same type (Relation / Results) and saves them in the same folder
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*/
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public class SparkCollectAndSave implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkCollectAndSave.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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SparkCollectAndSave.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/dump/input_collect_and_save.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 Boolean aggregateResult = Optional
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.ofNullable(parser.get("resultAggregation"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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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 + "/result");
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run(spark, inputPath, outputPath, aggregateResult);
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});
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}
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private static void run(SparkSession spark, String inputPath, String outputPath, boolean aggregate) {
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if (aggregate) {
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Utils
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.readPath(spark, inputPath + "/result/publication", GraphResult.class)
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.union(Utils.readPath(spark, inputPath + "/result/dataset", GraphResult.class))
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.union(Utils.readPath(spark, inputPath + "/result/otherresearchproduct", GraphResult.class))
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.union(Utils.readPath(spark, inputPath + "/result/software", GraphResult.class))
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.json(outputPath + "/result");
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} else {
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write(
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Utils
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.readPath(spark, inputPath + "/result/publication", GraphResult.class),
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outputPath + "/publication");
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write(
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Utils
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.readPath(spark, inputPath + "/result/dataset", GraphResult.class),
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outputPath + "/dataset");
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write(
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Utils
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.readPath(spark, inputPath + "/result/otherresearchproduct", GraphResult.class),
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outputPath + "/otheresearchproduct");
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write(
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Utils
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.readPath(spark, inputPath + "/result/software", GraphResult.class),
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outputPath + "/software");
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}
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Utils
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.readPath(spark, inputPath + "/relation/publication", Relation.class)
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.union(Utils.readPath(spark, inputPath + "/relation/dataset", Relation.class))
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.union(Utils.readPath(spark, inputPath + "/relation/orp", Relation.class))
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.union(Utils.readPath(spark, inputPath + "/relation/software", Relation.class))
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.union(Utils.readPath(spark, inputPath + "/relation/contextOrg", Relation.class))
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.union(Utils.readPath(spark, inputPath + "/relation/context", Relation.class))
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.union(Utils.readPath(spark, inputPath + "/relation/relation", Relation.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 + "/relation");
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}
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private static void write(Dataset<GraphResult> dataSet, String outputPath) {
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dataSet
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.json(outputPath);
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}
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}
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