dnet-hadoop/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/pid/SparkCollectPreparedInfo.java

81 lines
2.4 KiB
Java

package eu.dnetlib.dhp.oa.graph.dump.pid;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import javax.rmi.CORBA.Util;
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.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.gson.Gson;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.dump.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Result;
public class SparkCollectPreparedInfo implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkCollectPreparedInfo.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkCollectPreparedInfo.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/dump_pid/input_collectandsave.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("preparedInfoPath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
collectAndSave(spark, inputPath, outputPath);
});
}
private static void collectAndSave(SparkSession spark, String inputPath, String outputPath) {
Utils
.readPath(spark, inputPath + "/publication", ResultPidsList.class)
.union(Utils.readPath(spark, inputPath + "/dataset", ResultPidsList.class))
.union(Utils.readPath(spark, inputPath + "/software", ResultPidsList.class))
.union(Utils.readPath(spark, inputPath + "/otherresearchproduct", ResultPidsList.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
}