dnet-hadoop/dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyOpenorgs.java

101 lines
3.8 KiB
Java

package eu.dnetlib.dhp.oa.dedup;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.Optional;
public class SparkCopyOpenorgs extends AbstractSparkAction{
private static final Logger log = LoggerFactory.getLogger(SparkCopyRels.class);
public SparkCopyOpenorgs(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}
public static void main(String[] args) throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SparkCreateSimRels.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/dedup/copyOpenorgs_parameters.json")));
parser.parseArgument(args);
SparkConf conf = new SparkConf();
new SparkCopyOpenorgs(parser, getSparkSession(conf))
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
}
@Override
public void run(ISLookUpService isLookUpService)
throws DocumentException, IOException, ISLookUpException {
// read oozie parameters
final String graphBasePath = parser.get("graphBasePath");
final String actionSetId = parser.get("actionSetId");
final String workingPath = parser.get("workingPath");
final int numPartitions = Optional
.ofNullable(parser.get("numPartitions"))
.map(Integer::valueOf)
.orElse(NUM_PARTITIONS);
log.info("numPartitions: '{}'", numPartitions);
log.info("graphBasePath: '{}'", graphBasePath);
log.info("actionSetId: '{}'", actionSetId);
log.info("workingPath: '{}'", workingPath);
String subEntity = "organization";
log.info("Copying openorgs to the working dir");
final String outputPath = DedupUtility.createDedupRecordPath(workingPath, actionSetId, subEntity);
removeOutputDir(spark, outputPath);
final String entityPath = DedupUtility.createEntityPath(graphBasePath, subEntity);
final Class<OafEntity> clazz = ModelSupport.entityTypes.get(EntityType.valueOf(subEntity));
filterEntities(spark, entityPath, clazz)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
public static <T extends OafEntity> Dataset<T> filterEntities(
final SparkSession spark,
final String entitiesInputPath,
final Class<T> clazz) {
// <id, json_entity>
Dataset<T> entities = spark
.read()
.textFile(entitiesInputPath)
.map(
(MapFunction<String, T>) it -> {
T entity = OBJECT_MAPPER.readValue(it, clazz);
return entity;
},
Encoders.kryo(clazz));
return entities.filter(entities.col("id").contains("openorgs____"));
}
}