dnet-hadoop/dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcidnodoi/SparkGenEnrichedOrcidWorks....

173 lines
6.5 KiB
Java

package eu.dnetlib.doiboost.orcidnodoi;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
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.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.gson.Gson;
import com.google.gson.JsonElement;
import com.google.gson.JsonParser;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.doiboost.orcid.json.JsonHelper;
import eu.dnetlib.doiboost.orcid.model.AuthorData;
import eu.dnetlib.doiboost.orcidnodoi.model.WorkDataNoDoi;
import eu.dnetlib.doiboost.orcidnodoi.oaf.PublicationToOaf;
import eu.dnetlib.doiboost.orcidnodoi.similarity.AuthorMatcher;
import scala.Tuple2;
/**
* This spark job generates one parquet file, containing orcid publications dataset
*/
public class SparkGenEnrichedOrcidWorks {
static Logger logger = LoggerFactory.getLogger(SparkGenEnrichedOrcidWorks.class);
public static void main(String[] args) throws IOException, Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SparkGenEnrichedOrcidWorks.class
.getResourceAsStream(
"/eu/dnetlib/dhp/doiboost/gen_enriched_orcid_works_parameters.json")));
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
final String workingPath = parser.get("workingPath");
final String outputEnrichedWorksPath = parser.get("outputEnrichedWorksPath");
final String outputWorksPath = parser.get("outputWorksPath");
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaPairRDD<Text, Text> summariesRDD = sc
.sequenceFile(workingPath + "authors/authors.seq", Text.class, Text.class);
Dataset<AuthorData> summariesDataset = spark
.createDataset(
summariesRDD.map(seq -> loadAuthorFromJson(seq._1(), seq._2())).rdd(),
Encoders.bean(AuthorData.class));
logger.info("Authors data loaded: " + summariesDataset.count());
JavaPairRDD<Text, Text> activitiesRDD = sc
.sequenceFile(workingPath + outputWorksPath + "*.seq", Text.class, Text.class);
Dataset<WorkDataNoDoi> activitiesDataset = spark
.createDataset(
activitiesRDD.map(seq -> loadWorkFromJson(seq._1(), seq._2())).rdd(),
Encoders.bean(WorkDataNoDoi.class));
logger.info("Works data loaded: " + activitiesDataset.count());
JavaRDD<Tuple2<String, String>> enrichedWorksRDD = activitiesDataset
.joinWith(
summariesDataset,
activitiesDataset.col("oid").equalTo(summariesDataset.col("oid")), "inner")
.map(
(MapFunction<Tuple2<WorkDataNoDoi, AuthorData>, Tuple2<String, String>>) value -> {
WorkDataNoDoi w = value._1;
AuthorData a = value._2;
AuthorMatcher.match(a, w.getContributors());
return new Tuple2<>(a.getOid(), JsonHelper.createOidWork(w));
},
Encoders.tuple(Encoders.STRING(), Encoders.STRING()))
.filter(Objects::nonNull)
.toJavaRDD();
// enrichedWorksRDD.saveAsTextFile(workingPath + outputEnrichedWorksPath);
logger.info("Enriched works RDD ready.");
final LongAccumulator parsedPublications = spark.sparkContext().longAccumulator("parsedPublications");
final LongAccumulator enrichedPublications = spark
.sparkContext()
.longAccumulator("enrichedPublications");
final LongAccumulator errorsGeneric = spark.sparkContext().longAccumulator("errorsGeneric");
final LongAccumulator errorsInvalidTitle = spark.sparkContext().longAccumulator("errorsInvalidTitle");
final LongAccumulator errorsNotFoundAuthors = spark
.sparkContext()
.longAccumulator("errorsNotFoundAuthors");
final LongAccumulator errorsInvalidType = spark.sparkContext().longAccumulator("errorsInvalidType");
final PublicationToOaf publicationToOaf = new PublicationToOaf(
parsedPublications,
enrichedPublications,
errorsGeneric,
errorsInvalidTitle,
errorsNotFoundAuthors,
errorsInvalidType);
JavaRDD<Publication> oafPublicationRDD = enrichedWorksRDD
.map(
e -> {
return (Publication) publicationToOaf
.generatePublicationActionsFromJson(e._2());
})
.filter(p -> p != null);
Dataset<Publication> publicationDataset = spark
.createDataset(
oafPublicationRDD.repartition(1).rdd(),
Encoders.bean(Publication.class));
publicationDataset
.write()
.format("parquet")
.mode(SaveMode.Overwrite)
.save(workingPath + outputEnrichedWorksPath);
logger.info("parsedPublications: " + parsedPublications.value().toString());
logger.info("enrichedPublications: " + enrichedPublications.value().toString());
logger.info("errorsGeneric: " + errorsGeneric.value().toString());
logger.info("errorsInvalidTitle: " + errorsInvalidTitle.value().toString());
logger.info("errorsNotFoundAuthors: " + errorsNotFoundAuthors.value().toString());
logger.info("errorsInvalidType: " + errorsInvalidType.value().toString());
});
}
private static AuthorData loadAuthorFromJson(Text orcidId, Text json) {
AuthorData authorData = new AuthorData();
authorData.setOid(orcidId.toString());
JsonElement jElement = new JsonParser().parse(json.toString());
authorData.setName(getJsonValue(jElement, "name"));
authorData.setSurname(getJsonValue(jElement, "surname"));
authorData.setCreditName(getJsonValue(jElement, "creditname"));
return authorData;
}
private static WorkDataNoDoi loadWorkFromJson(Text orcidId, Text json) {
WorkDataNoDoi workData = new Gson().fromJson(json.toString(), WorkDataNoDoi.class);
return workData;
}
private static String getJsonValue(JsonElement jElement, String property) {
if (jElement.getAsJsonObject().has(property)) {
JsonElement name = null;
name = jElement.getAsJsonObject().get(property);
if (name != null && !name.isJsonNull()) {
return name.getAsString();
}
}
return new String("");
}
}