dnet-hadoop/dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/PrepareRelatedDatasourcesJo...

108 lines
3.9 KiB
Java

package eu.dnetlib.dhp.broker.oa;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.broker.objects.OaBrokerRelatedDatasource;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.ConversionUtils;
import eu.dnetlib.dhp.broker.oa.util.DatasourceRelationsAccumulator;
import eu.dnetlib.dhp.broker.oa.util.aggregators.withRels.RelatedDatasource;
import eu.dnetlib.dhp.schema.oaf.Datasource;
import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.Software;
import scala.Tuple3;
public class PrepareRelatedDatasourcesJob {
private static final Logger log = LoggerFactory.getLogger(PrepareRelatedDatasourcesJob.class);
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
PrepareRelatedDatasourcesJob.class
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String graphPath = parser.get("graphPath");
log.info("graphPath: {}", graphPath);
final String workingDir = parser.get("workingDir");
log.info("workingDir: {}", workingDir);
final String relsPath = workingDir + "/relatedDatasources";
log.info("relsPath: {}", relsPath);
final SparkConf conf = new SparkConf();
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
ClusterUtils.removeDir(spark, relsPath);
final LongAccumulator total = spark.sparkContext().longAccumulator("total_datasources");
final Dataset<Tuple3<String, String, String>> rels = prepareResultTuples(
spark, graphPath, Publication.class)
.union(prepareResultTuples(spark, graphPath, eu.dnetlib.dhp.schema.oaf.Dataset.class))
.union(prepareResultTuples(spark, graphPath, Software.class))
.union(prepareResultTuples(spark, graphPath, OtherResearchProduct.class));
final Dataset<OaBrokerRelatedDatasource> datasources = ClusterUtils
.readPath(spark, graphPath + "/datasource", Datasource.class)
.map(ConversionUtils::oafDatasourceToBrokerDatasource, Encoders.bean(OaBrokerRelatedDatasource.class));
final Dataset<RelatedDatasource> dataset = rels
.joinWith(datasources, datasources.col("openaireId").equalTo(rels.col("_2")), "inner")
.map(t -> {
final RelatedDatasource r = new RelatedDatasource();
r.setSource(t._1._1());
r.setRelDatasource(t._2);
r.getRelDatasource().setRelType(t._1._3());
return r;
}, Encoders.bean(RelatedDatasource.class));
ClusterUtils.save(dataset, relsPath, RelatedDatasource.class, total);
});
}
private static final Dataset<Tuple3<String, String, String>> prepareResultTuples(final SparkSession spark,
final String graphPath,
final Class<? extends Result> sourceClass) {
return ClusterUtils
.readPath(spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), sourceClass)
.filter(r -> !ClusterUtils.isDedupRoot(r.getId()))
.filter(r -> r.getDataInfo().getDeletedbyinference())
.map(
r -> DatasourceRelationsAccumulator.calculateTuples(r),
Encoders.bean(DatasourceRelationsAccumulator.class))
.flatMap(
acc -> acc.getRels().iterator(),
Encoders.tuple(Encoders.STRING(), Encoders.STRING(), Encoders.STRING()));
}
}