65 lines
2.2 KiB
Java
65 lines
2.2 KiB
Java
package eu.dnetlib.dhp.graph;
|
|
|
|
|
|
import eu.dnetlib.dhp.schema.oaf.Datasource;
|
|
import eu.dnetlib.dhp.schema.oaf.Oaf;
|
|
import eu.dnetlib.dhp.schema.oaf.Organization;
|
|
import eu.dnetlib.dhp.schema.oaf.Publication;
|
|
import org.apache.hadoop.io.Text;
|
|
import org.apache.spark.api.java.JavaRDD;
|
|
import org.apache.spark.api.java.JavaSparkContext;
|
|
import org.apache.spark.api.java.function.PairFunction;
|
|
import org.apache.spark.sql.Dataset;
|
|
import org.apache.spark.sql.Encoder;
|
|
import org.apache.spark.sql.Encoders;
|
|
import org.apache.spark.sql.SparkSession;
|
|
import scala.Tuple2;
|
|
|
|
import javax.xml.crypto.Data;
|
|
|
|
public class SparkGraphImporterJob {
|
|
|
|
|
|
public static void main(String[] args) throws Exception{
|
|
|
|
//TODO add argument parser
|
|
// final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkGraphImporterJob.class.getResourceAsStream("/eu/dnetlib/dhp/graph/graph_importer_parameters.json")));
|
|
// parser.parseArgument(args);
|
|
|
|
final SparkSession spark = SparkSession
|
|
.builder()
|
|
.appName("ImportGraph")
|
|
//TODO replace with: master(parser.get("master"))
|
|
.master("local[16]")
|
|
.getOrCreate();
|
|
|
|
|
|
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
|
|
final String path = "file:///Users/miconis/Downloads/part-m-02236";
|
|
final JavaRDD<Tuple2<String, String>> inputRDD = sc.sequenceFile(path, Text.class, Text.class)
|
|
.map(item -> new Tuple2<>(item._1.toString(), item._2.toString()));
|
|
|
|
|
|
final JavaRDD<Organization> organization = inputRDD
|
|
.filter(s -> s._1().split("@")[2].equalsIgnoreCase("body"))
|
|
.map(Tuple2::_2)
|
|
.map(ProtoConverter::convert)
|
|
.filter(s-> s instanceof Organization)
|
|
.map(s->(Organization)s);
|
|
final Encoder<Organization> encoder = Encoders.bean(Organization.class);
|
|
final Dataset<Organization> mdstore = spark.createDataset(organization.rdd(), encoder);
|
|
|
|
System.out.println(mdstore.count());
|
|
|
|
//
|
|
//
|
|
// .filter(s -> s instanceof Publication)
|
|
// .count();
|
|
|
|
|
|
|
|
|
|
}
|
|
}
|