dnet-hadoop/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/resulttoorganizationfromins.../SparkResultToOrganizationFr...

192 lines
5.9 KiB
Java

package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.*;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.broadcast.Broadcast;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2;
public class SparkResultToOrganizationFromIstRepoJob {
private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromIstRepoJob.class);
private static final String RESULT_ORGANIZATIONSET_QUERY = "SELECT id resultId, collect_set(organizationId) organizationSet "
+ "FROM ( SELECT id, organizationId "
+ "FROM rels "
+ "JOIN cfhb "
+ " ON cf = datasourceId "
+ "UNION ALL "
+ "SELECT id , organizationId "
+ "FROM rels "
+ "JOIN cfhb "
+ " ON hb = datasourceId ) tmp "
+ "GROUP BY id";
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkResultToOrganizationFromIstRepoJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/resulttoorganizationfrominstrepo/input_propagationresulaffiliationfrominstrepo_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String datasourceorganization = parser.get("datasourceOrganizationPath");
log.info("datasourceOrganizationPath: {}", datasourceorganization);
final String alreadylinked = parser.get("alreadyLinkedPath");
log.info("alreadyLinkedPath: {}", alreadylinked);
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final Boolean saveGraph = Optional
.ofNullable(parser.get("saveGraph"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("saveGraph: {}", saveGraph);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
// removeOutputDir(spark, outputPath);
if (saveGraph) {
execPropagation(
spark,
datasourceorganization,
alreadylinked,
inputPath,
outputPath,
resultClazz);
}
});
}
private static void execPropagation(
SparkSession spark,
String datasourceorganization,
String alreadyLinkedPath,
String inputPath,
String outputPath,
Class<? extends Result> clazz) {
Dataset<DatasourceOrganization> ds_org = readPath(spark, datasourceorganization, DatasourceOrganization.class);
Dataset<ResultOrganizationSet> potentialUpdates = getPotentialRelations(spark, inputPath, clazz, ds_org);
Dataset<ResultOrganizationSet> alreadyLinked = readPath(spark, alreadyLinkedPath, ResultOrganizationSet.class);
potentialUpdates
.joinWith(
alreadyLinked,
potentialUpdates.col("resultId").equalTo(alreadyLinked.col("resultId")),
"left_outer")
.flatMap(createRelationFn(), Encoders.bean(Relation.class))
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
}
private static FlatMapFunction<Tuple2<ResultOrganizationSet, ResultOrganizationSet>, Relation> createRelationFn() {
return value -> {
List<Relation> new_relations = new ArrayList<>();
ResultOrganizationSet potential_update = value._1();
Optional<ResultOrganizationSet> already_linked = Optional.ofNullable(value._2());
List<String> organization_list = potential_update.getOrganizationSet();
if (already_linked.isPresent()) {
already_linked
.get()
.getOrganizationSet()
.stream()
.forEach(
rId -> {
organization_list.remove(rId);
});
}
String resultId = potential_update.getResultId();
organization_list
.stream()
.forEach(
orgId -> {
new_relations
.add(
getRelation(
orgId,
resultId,
ModelConstants.IS_AUTHOR_INSTITUTION_OF,
ModelConstants.RESULT_ORGANIZATION,
ModelConstants.AFFILIATION,
PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
new_relations
.add(
getRelation(
resultId,
orgId,
ModelConstants.HAS_AUTHOR_INSTITUTION,
ModelConstants.RESULT_ORGANIZATION,
ModelConstants.AFFILIATION,
PROPAGATION_DATA_INFO_TYPE,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
});
return new_relations.iterator();
};
}
private static <R extends Result> Dataset<ResultOrganizationSet> getPotentialRelations(
SparkSession spark,
String inputPath,
Class<R> resultClazz,
Dataset<DatasourceOrganization> ds_org) {
Dataset<R> result = readPath(spark, inputPath, resultClazz);
result.createOrReplaceTempView("result");
createCfHbforResult(spark);
ds_org.createOrReplaceTempView("rels");
return spark
.sql(RESULT_ORGANIZATIONSET_QUERY)
.as(Encoders.bean(ResultOrganizationSet.class));
}
}