data from last updated orcid

This commit is contained in:
Enrico Ottonello 2021-02-23 15:35:04 +01:00
parent ee4ba7298b
commit 975823b968
2 changed files with 38 additions and 49 deletions

View File

@ -18,6 +18,7 @@ import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.util.LongAccumulator;
import org.mortbay.log.Log;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -30,6 +31,8 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.orcid.AuthorData;
import eu.dnetlib.dhp.schema.orcid.AuthorSummary;
import eu.dnetlib.dhp.schema.orcid.Work;
import eu.dnetlib.dhp.schema.orcid.WorkDetail;
import eu.dnetlib.doiboost.orcid.json.JsonHelper;
import eu.dnetlib.doiboost.orcidnodoi.oaf.PublicationToOaf;
@ -61,8 +64,6 @@ public class SparkGenEnrichedOrcidWorks {
.orElse(Boolean.TRUE);
final String workingPath = parser.get("workingPath");
final String outputEnrichedWorksPath = parser.get("outputEnrichedWorksPath");
final String outputWorksPath = parser.get("outputWorksPath");
final String hdfsServerUri = parser.get("hdfsServerUri");
SparkConf conf = new SparkConf();
runWithSparkSession(
@ -71,26 +72,39 @@ public class SparkGenEnrichedOrcidWorks {
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
Dataset<AuthorData> authorDataset = spark
.createDataset(
summariesRDD.map(seq -> loadAuthorFromJson(seq._1(), seq._2())).rdd(),
sc
.textFile(workingPath.concat("last_orcid_dataset/authors/*"))
.map(item -> OBJECT_MAPPER.readValue(item, AuthorSummary.class))
.filter(authorSummary -> authorSummary.getAuthorData() != null)
.map(authorSummary -> authorSummary.getAuthorData())
.rdd(),
Encoders.bean(AuthorData.class));
logger.info("Authors data loaded: " + summariesDataset.count());
logger.info("Authors data loaded: " + authorDataset.count());
JavaPairRDD<Text, Text> activitiesRDD = sc
.sequenceFile(workingPath + outputWorksPath + "*.seq", Text.class, Text.class);
Dataset<WorkDetail> activitiesDataset = spark
Dataset<WorkDetail> workDataset = spark
.createDataset(
activitiesRDD.map(seq -> loadWorkFromJson(seq._1(), seq._2())).rdd(),
sc
.textFile(workingPath.concat("last_orcid_dataset/works/*"))
.map(item -> OBJECT_MAPPER.readValue(item, Work.class))
.filter(work -> work.getWorkDetail() != null)
.map(work -> work.getWorkDetail())
.filter(work -> work.getErrorCode() == null)
.filter(
work -> work
.getExtIds()
.stream()
.filter(e -> e.getType() != null)
.noneMatch(e -> e.getType().equalsIgnoreCase("doi")))
.rdd(),
Encoders.bean(WorkDetail.class));
logger.info("Works data loaded: " + activitiesDataset.count());
logger.info("Works data loaded: " + workDataset.count());
JavaRDD<Tuple2<String, String>> enrichedWorksRDD = activitiesDataset
JavaRDD<Tuple2<String, String>> enrichedWorksRDD = workDataset
.joinWith(
summariesDataset,
activitiesDataset.col("oid").equalTo(summariesDataset.col("oid")), "inner")
authorDataset,
workDataset.col("oid").equalTo(authorDataset.col("oid")), "inner")
.map(
(MapFunction<Tuple2<WorkDetail, AuthorData>, Tuple2<String, String>>) value -> {
WorkDetail w = value._1;
@ -150,31 +164,4 @@ public class SparkGenEnrichedOrcidWorks {
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 WorkDetail loadWorkFromJson(Text orcidId, Text json) {
WorkDetail workData = new Gson().fromJson(json.toString(), WorkDetail.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("");
}
}

View File

@ -1,17 +1,18 @@
<workflow-app name="gen_orcid_no_doi_dataset" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>spark2GenNoDoiDatasetMaxExecutors</name>
<value>40</value>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<name>spark2GenNoDoiDatasetExecutorMemory</name>
<value>2G</value>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
@ -73,8 +74,9 @@
<class>eu.dnetlib.doiboost.orcidnodoi.SparkGenEnrichedOrcidWorks</class>
<jar>dhp-doiboost-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2GenNoDoiDatasetMaxExecutors}
--executor-memory=${spark2GenNoDoiDatasetExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}