dnet-hadoop/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/ReadCOCI.java

116 lines
3.3 KiB
Java

package eu.dnetlib.dhp.actionmanager.opencitations;
import static eu.dnetlib.dhp.actionmanager.Constants.DEFAULT_DELIMITER;
import static eu.dnetlib.dhp.actionmanager.Constants.isSparkSessionManaged;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.*;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
public class ReadCOCI implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ReadCOCI.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
ReadCOCI.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/opencitations/input_readcoci_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String workingPath = parser.get("inputPath");
log.info("workingPath {}", workingPath);
SparkConf sconf = new SparkConf();
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
final String delimiter = Optional
.ofNullable(parser.get("delimiter"))
.orElse(DEFAULT_DELIMITER);
runWithSparkSession(
sconf,
isSparkSessionManaged,
spark -> {
doRead(
spark,
workingPath,
fileSystem,
outputPath,
delimiter);
});
}
private static void doRead(SparkSession spark, String workingPath, FileSystem fileSystem,
String outputPath,
String delimiter) throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
new Path(workingPath), true);
while (fileStatusListIterator.hasNext()) {
LocatedFileStatus fileStatus = fileStatusListIterator.next();
log.info("extracting file {}", fileStatus.getPath().toString());
Dataset<Row> cociData = spark
.read()
.format("csv")
.option("sep", delimiter)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(fileStatus.getPath().toString())
.repartition(100);
cociData.map((MapFunction<Row, COCI>) row -> {
COCI coci = new COCI();
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
coci.setOci(row.getString(0));
return coci;
}, Encoders.bean(COCI.class))
.filter((FilterFunction<COCI>) c -> c != null)
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
fileSystem.rename(fileStatus.getPath(), new Path("/tmp/miriam/OC/DONE"));
}
}
}