forked from D-Net/dnet-hadoop
merge branch with beta
This commit is contained in:
commit
1d6ac3715b
|
@ -25,6 +25,11 @@
|
|||
<groupId>com.github.sisyphsu</groupId>
|
||||
<artifactId>dateparser</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>me.xuender</groupId>
|
||||
<artifactId>unidecode</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.apache.spark</groupId>
|
||||
<artifactId>spark-core_2.11</artifactId>
|
||||
|
|
|
@ -7,22 +7,19 @@ import java.time.format.DateTimeFormatter;
|
|||
import java.time.format.DateTimeParseException;
|
||||
import java.util.*;
|
||||
import java.util.function.Function;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
|
||||
import com.github.sisyphsu.dateparser.DateParserUtils;
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Maps;
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import me.xuender.unidecode.Unidecode;
|
||||
|
||||
public class GraphCleaningFunctions extends CleaningFunctions {
|
||||
|
||||
|
@ -194,11 +191,15 @@ public class GraphCleaningFunctions extends CleaningFunctions {
|
|||
.filter(Objects::nonNull)
|
||||
.filter(sp -> StringUtils.isNotBlank(sp.getValue()))
|
||||
.filter(
|
||||
sp -> sp
|
||||
sp -> {
|
||||
final String title = sp
|
||||
.getValue()
|
||||
.toLowerCase()
|
||||
.replaceAll(TITLE_FILTER_REGEX, "")
|
||||
.length() > TITLE_FILTER_RESIDUAL_LENGTH)
|
||||
.toLowerCase();
|
||||
final String residual = Unidecode
|
||||
.decode(title)
|
||||
.replaceAll(TITLE_FILTER_REGEX, "");
|
||||
return residual.length() > TITLE_FILTER_RESIDUAL_LENGTH;
|
||||
})
|
||||
.map(GraphCleaningFunctions::cleanValue)
|
||||
.collect(Collectors.toList()));
|
||||
}
|
||||
|
|
|
@ -4,12 +4,8 @@ package eu.dnetlib.dhp.schema.oaf.utils;
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|||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.time.LocalDate;
|
||||
import java.time.format.DateTimeFormatter;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Locale;
|
||||
import java.util.Optional;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
|
@ -19,13 +15,32 @@ import com.fasterxml.jackson.databind.DeserializationFeature;
|
|||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import eu.dnetlib.dhp.schema.oaf.Dataset;
|
||||
import eu.dnetlib.dhp.schema.oaf.KeyValue;
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication;
|
||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||
import me.xuender.unidecode.Unidecode;
|
||||
|
||||
public class OafMapperUtilsTest {
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
|
||||
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
|
||||
|
||||
@Test
|
||||
public void testUnidecode() {
|
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|
||||
assertEquals("Liu Ben Mu hiruzuSen tawa", Unidecode.decode("六本木ヒルズ森タワ"));
|
||||
assertEquals("Nan Wu A Mi Tuo Fo", Unidecode.decode("南无阿弥陀佛"));
|
||||
assertEquals("Yi Tiao Hui Zou Lu De Yu", Unidecode.decode("一条会走路的鱼"));
|
||||
assertEquals("amidaniyorai", Unidecode.decode("あみだにょらい"));
|
||||
assertEquals("T`owrk`iayi", Unidecode.decode("Թուրքիայի"));
|
||||
assertEquals("Obzor tematiki", Unidecode.decode("Обзор тематики"));
|
||||
assertEquals("GERMANSKIE IaZYKI", Unidecode.decode("ГЕРМАНСКИЕ ЯЗЫКИ"));
|
||||
assertEquals("Diereunese tes ikanopoieses", Unidecode.decode("Διερεύνηση της ικανοποίησης"));
|
||||
assertEquals("lqDy l'wly@", Unidecode.decode("القضايا الأولية"));
|
||||
assertEquals("abc def ghi", Unidecode.decode("abc def ghi"));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDateValidation() {
|
||||
|
||||
|
|
|
@ -64,9 +64,9 @@ abstract class AbstractRestClient extends Iterator[String]{
|
|||
.setSocketTimeout(timeout * 1000).build()
|
||||
val client =HttpClientBuilder.create().setDefaultRequestConfig(config).build()
|
||||
var tries = 4
|
||||
try {
|
||||
while (tries > 0) {
|
||||
println(s"requesting ${r.getURI}")
|
||||
try {
|
||||
val response = client.execute(r)
|
||||
println(s"get response with status${response.getStatusLine.getStatusCode}")
|
||||
if (response.getStatusLine.getStatusCode > 400) {
|
||||
|
@ -74,16 +74,14 @@ abstract class AbstractRestClient extends Iterator[String]{
|
|||
}
|
||||
else
|
||||
return IOUtils.toString(response.getEntity.getContent)
|
||||
}
|
||||
""
|
||||
} catch {
|
||||
case e: Throwable =>
|
||||
throw new RuntimeException("Error on executing request ", e)
|
||||
} finally try client.close()
|
||||
catch {
|
||||
case e: IOException =>
|
||||
throw new RuntimeException("Unable to close client ", e)
|
||||
println(s"Error on requesting ${r.getURI}")
|
||||
e.printStackTrace()
|
||||
tries-=1
|
||||
}
|
||||
}
|
||||
""
|
||||
}
|
||||
getBufferData()
|
||||
}
|
|
@ -0,0 +1,73 @@
|
|||
package eu.dnetlib.dhp.actionmanager.scholix
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
object SparkCreateActionset {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val log: Logger = LoggerFactory.getLogger(getClass)
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString)
|
||||
parser.parseArgument(args)
|
||||
|
||||
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
log.info(s"sourcePath -> $sourcePath")
|
||||
|
||||
val targetPath = parser.get("targetPath")
|
||||
log.info(s"targetPath -> $targetPath")
|
||||
|
||||
val workingDirFolder = parser.get("workingDirFolder")
|
||||
log.info(s"workingDirFolder -> $workingDirFolder")
|
||||
|
||||
implicit val oafEncoders: Encoder[Oaf] = Encoders.kryo[Oaf]
|
||||
implicit val resultEncoders: Encoder[Result] = Encoders.kryo[Result]
|
||||
implicit val relationEncoders: Encoder[Relation] = Encoders.kryo[Relation]
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
val relation = spark.read.load(s"$sourcePath/relation").as[Relation]
|
||||
|
||||
relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
|
||||
.flatMap(r => List(r.getSource, r.getTarget)).distinct().write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/id_relation")
|
||||
|
||||
|
||||
val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String]
|
||||
|
||||
log.info("extract source and target Identifier involved in relations")
|
||||
|
||||
|
||||
log.info("save relation filtered")
|
||||
|
||||
relation.filter(r => (r.getDataInfo == null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
|
||||
.write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
log.info("saving entities")
|
||||
|
||||
val entities: Dataset[(String, Result)] = spark.read.load(s"$sourcePath/entities/*").as[Result].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING, resultEncoders))
|
||||
|
||||
|
||||
entities.filter(r => r.isInstanceOf[Result]).map(r => r.asInstanceOf[Result])
|
||||
entities
|
||||
.joinWith(idRelation, entities("_1").equalTo(idRelation("value")))
|
||||
.map(p => p._1._2)
|
||||
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
|
@ -1,9 +1,9 @@
|
|||
package eu.dnetlib.dhp.sx.provision
|
||||
package eu.dnetlib.dhp.actionmanager.scholix
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.action.AtomicAction
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, OtherResearchProduct, Publication, Relation, Software, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Dataset => OafDataset,Publication, Software, OtherResearchProduct, Relation}
|
||||
import org.apache.hadoop.io.Text
|
||||
import org.apache.hadoop.io.compress.GzipCodec
|
||||
import org.apache.hadoop.mapred.SequenceFileOutputFormat
|
|
@ -14,7 +14,7 @@
|
|||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="ExportDataset"/>
|
||||
<start to="createActionSet"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
|
@ -25,7 +25,7 @@
|
|||
<master>yarn-cluster</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Create Action Set</name>
|
||||
<class>eu.dnetlib.dhp.sx.provision.SparkCreateActionset</class>
|
||||
<class>eu.dnetlib.dhp.actionmanager.scholix.SparkCreateActionset</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
|
@ -42,7 +42,7 @@
|
|||
<arg>--workingDirFolder</arg><arg>${workingDirFolder}</arg>
|
||||
<arg>--master</arg><arg>yarn-cluster</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<ok to="SaveActionSet"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
@ -52,7 +52,7 @@
|
|||
<master>yarn-cluster</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Save Action Set</name>
|
||||
<class>eu.dnetlib.dhp.sx.provision.SparkSaveActionSet</class>
|
||||
<class>eu.dnetlib.dhp.actionmanager.scholix.SparkSaveActionSet</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedDatasets;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingDatasetIsReferencedBy extends AbstractEnrichMissingDataset {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingDatasetIsReferencedBy extends AbstractEnrichMissingDat
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isReferencedBy");
|
||||
return relType.equals(ModelConstants.IS_REFERENCED_BY);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedDatasets;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingDatasetIsRelatedTo extends AbstractEnrichMissingDataset {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingDatasetIsRelatedTo extends AbstractEnrichMissingDatase
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isRelatedTo");
|
||||
return relType.equals(ModelConstants.IS_RELATED_TO);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedDatasets;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingDatasetIsSupplementedBy extends AbstractEnrichMissingDataset {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingDatasetIsSupplementedBy extends AbstractEnrichMissingD
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isSupplementedBy");
|
||||
return relType.equals(ModelConstants.IS_SUPPLEMENTED_BY);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedDatasets;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingDatasetIsSupplementedTo extends AbstractEnrichMissingDataset {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingDatasetIsSupplementedTo extends AbstractEnrichMissingD
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isSupplementedTo");
|
||||
return relType.equals(ModelConstants.IS_SUPPLEMENT_TO);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedDatasets;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingDatasetReferences extends AbstractEnrichMissingDataset {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingDatasetReferences extends AbstractEnrichMissingDataset
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("references");
|
||||
return relType.equals(ModelConstants.REFERENCES);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedPublications;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingPublicationIsReferencedBy extends AbstractEnrichMissingPublication {
|
||||
|
||||
|
@ -11,6 +12,6 @@ public class EnrichMissingPublicationIsReferencedBy extends AbstractEnrichMissin
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isReferencedBy");
|
||||
return relType.equals(ModelConstants.IS_REFERENCED_BY);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedPublications;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingPublicationIsRelatedTo extends AbstractEnrichMissingPublication {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingPublicationIsRelatedTo extends AbstractEnrichMissingPu
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isRelatedTo");
|
||||
return relType.equals(ModelConstants.IS_RELATED_TO);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedPublications;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingPublicationIsSupplementedBy extends AbstractEnrichMissingPublication {
|
||||
|
||||
|
@ -11,6 +12,6 @@ public class EnrichMissingPublicationIsSupplementedBy extends AbstractEnrichMiss
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isSupplementedBy");
|
||||
return relType.equals(ModelConstants.IS_SUPPLEMENTED_BY);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedPublications;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingPublicationIsSupplementedTo extends AbstractEnrichMissingPublication {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingPublicationIsSupplementedTo extends AbstractEnrichMiss
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("isSupplementedTo");
|
||||
return relType.equals(ModelConstants.IS_SUPPLEMENT_TO);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -2,6 +2,7 @@
|
|||
package eu.dnetlib.dhp.broker.oa.matchers.relatedPublications;
|
||||
|
||||
import eu.dnetlib.dhp.broker.model.Topic;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
|
||||
public class EnrichMissingPublicationReferences extends AbstractEnrichMissingPublication {
|
||||
|
||||
|
@ -11,7 +12,7 @@ public class EnrichMissingPublicationReferences extends AbstractEnrichMissingPub
|
|||
|
||||
@Override
|
||||
protected boolean filterByType(final String relType) {
|
||||
return relType.equals("references");
|
||||
return relType.equals(ModelConstants.REFERENCES);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -17,6 +17,7 @@ import com.fasterxml.jackson.databind.ObjectMapper;
|
|||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
public class ClusterUtils {
|
||||
|
@ -52,15 +53,15 @@ public class ClusterUtils {
|
|||
}
|
||||
|
||||
public static boolean isDedupRoot(final String id) {
|
||||
return id.contains("dedup_wf_");
|
||||
return id.contains("dedup");
|
||||
}
|
||||
|
||||
public static final boolean isValidResultResultClass(final String s) {
|
||||
return s.equals("isReferencedBy")
|
||||
|| s.equals("isRelatedTo")
|
||||
|| s.equals("references")
|
||||
|| s.equals("isSupplementedBy")
|
||||
|| s.equals("isSupplementedTo");
|
||||
return s.equals(ModelConstants.IS_REFERENCED_BY)
|
||||
|| s.equals(ModelConstants.IS_RELATED_TO)
|
||||
|| s.equals(ModelConstants.REFERENCES)
|
||||
|| s.equals(ModelConstants.IS_SUPPLEMENTED_BY)
|
||||
|| s.equals(ModelConstants.IS_SUPPLEMENT_TO);
|
||||
}
|
||||
|
||||
public static <T> T incrementAccumulator(final T o, final LongAccumulator acc) {
|
||||
|
|
|
@ -179,20 +179,6 @@ object DoiBoostMappingUtil {
|
|||
|
||||
}
|
||||
|
||||
//val formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd")
|
||||
|
||||
|
||||
|
||||
// val pub_date = LocalDate.parse(date, formatter)
|
||||
|
||||
// if (((now.toEpochDay - pub_date.toEpochDay)/365.0) > 1){
|
||||
// val oaq : AccessRight = getOpenAccessQualifier()
|
||||
// oaq.setOpenAccessRoute(OpenAccessRoute.hybrid)
|
||||
// return oaq
|
||||
// }
|
||||
// else{
|
||||
// return getEmbargoedAccessQualifier()
|
||||
// }
|
||||
}
|
||||
|
||||
return getClosedAccessQualifier()
|
||||
|
@ -202,7 +188,8 @@ object DoiBoostMappingUtil {
|
|||
|
||||
|
||||
def getOpenAccessQualifier():AccessRight = {
|
||||
OafMapperUtils.accessRight("OPEN","Open Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
|
||||
|
||||
OafMapperUtils.accessRight(ModelConstants.ACCESS_RIGHT_OPEN,"Open Access", ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
|
||||
}
|
||||
|
||||
def getRestrictedQualifier():AccessRight = {
|
||||
|
@ -211,7 +198,7 @@ object DoiBoostMappingUtil {
|
|||
|
||||
|
||||
def getUnknownQualifier():AccessRight = {
|
||||
OafMapperUtils.accessRight("UNKNOWN","not available",ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
|
||||
OafMapperUtils.accessRight(ModelConstants.UNKNOWN, ModelConstants.NOT_AVAILABLE,ModelConstants.DNET_ACCESS_MODES, ModelConstants.DNET_ACCESS_MODES)
|
||||
}
|
||||
|
||||
|
||||
|
@ -251,8 +238,7 @@ object DoiBoostMappingUtil {
|
|||
i.setAccessright(getOpenAccessQualifier())
|
||||
i.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
|
||||
}
|
||||
// val ar = getOpenAccessQualifier()
|
||||
// publication.setBestaccessright(OafMapperUtils.qualifier(ar.getClassid, ar.getClassname, ar.getSchemeid, ar.getSchemename))
|
||||
|
||||
}
|
||||
else {
|
||||
hb = ModelConstants.UNKNOWN_REPOSITORY
|
||||
|
@ -261,17 +247,7 @@ object DoiBoostMappingUtil {
|
|||
})
|
||||
|
||||
publication.setBestaccessright(OafMapperUtils.createBestAccessRights(publication.getInstance()))
|
||||
// val ar = publication.getInstance().asScala.filter(i => i.getInstancetype != null && i.getAccessright!= null && i.getAccessright.getClassid!= null).map(f=> f.getAccessright.getClassid)
|
||||
// if (ar.nonEmpty) {
|
||||
// if(ar.contains(ModelConstants.ACCESS_RIGHT_OPEN)){
|
||||
// val ar = getOpenAccessQualifier()
|
||||
// publication.setBestaccessright(OafMapperUtils.qualifier(ar.getClassid, ar.getClassname, ar.getSchemeid, ar.getSchemename))
|
||||
// }
|
||||
// else {
|
||||
// val ar = getRestrictedQualifier()
|
||||
// publication.setBestaccessright(OafMapperUtils.qualifier(ar.getClassid, ar.getClassname, ar.getSchemeid, ar.getSchemename))
|
||||
// }
|
||||
// }
|
||||
|
||||
publication
|
||||
}
|
||||
|
||||
|
|
|
@ -0,0 +1,115 @@
|
|||
package eu.dnetlib.dhp.oa.graph.raw;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.oa.graph.dump.Utils;
|
||||
import eu.dnetlib.dhp.oa.graph.raw.common.RelationIdMapping;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
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.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 scala.Tuple2;
|
||||
|
||||
import java.io.FileNotFoundException;
|
||||
import java.util.Objects;
|
||||
import java.util.Optional;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
public class PatchRelationsApplication {
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(PatchRelationsApplication.class);
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
public static void main(final String[] args) throws Exception {
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
Optional.ofNullable(
|
||||
PatchRelationsApplication.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/oa/graph/patch_relations_parameters.json"))
|
||||
.orElseThrow(FileNotFoundException::new)
|
||||
));
|
||||
parser.parseArgument(args);
|
||||
|
||||
final Boolean isSparkSessionManaged = Optional
|
||||
.ofNullable(parser.get("isSparkSessionManaged"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
final String graphBasePath = parser.get("graphBasePath");
|
||||
log.info("graphBasePath: {}", graphBasePath);
|
||||
|
||||
final String workingDir = parser.get("workingDir");
|
||||
log.info("workingDir: {}", workingDir);
|
||||
|
||||
final String idMappingPath = parser.get("idMappingPath");
|
||||
log.info("idMappingPath: {}", idMappingPath);
|
||||
|
||||
final SparkConf conf = new SparkConf();
|
||||
runWithSparkSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> patchRelations(spark, graphBasePath, workingDir, idMappingPath));
|
||||
}
|
||||
|
||||
/**
|
||||
* Substitutes the identifiers (source/target) from the set of relations part of the graphBasePath included in the
|
||||
* mapping provided by the dataset stored on idMappingPath, using workingDir as intermediate storage location.
|
||||
*
|
||||
* @param spark the SparkSession
|
||||
* @param graphBasePath base graph path providing the set of relations to patch
|
||||
* @param workingDir intermediate storage location
|
||||
* @param idMappingPath dataset providing the old -> new identifier mapping
|
||||
*/
|
||||
private static void patchRelations(final SparkSession spark, final String graphBasePath, final String workingDir, final String idMappingPath) {
|
||||
|
||||
final String relationPath = graphBasePath + "/relation";
|
||||
|
||||
final Dataset<Relation> rels = Utils.readPath(spark, relationPath, Relation.class);
|
||||
final Dataset<RelationIdMapping> idMapping = Utils.readPath(spark, idMappingPath, RelationIdMapping.class);
|
||||
|
||||
rels
|
||||
.joinWith(idMapping, rels.col("source").equalTo(idMapping.col("oldId")), "left")
|
||||
.map((MapFunction<Tuple2<Relation, RelationIdMapping>, Relation>) t -> {
|
||||
final Relation r = t._1();
|
||||
Optional.ofNullable(t._2())
|
||||
.map(RelationIdMapping::getNewId)
|
||||
.ifPresent(r::setSource);
|
||||
return r;
|
||||
}, Encoders.bean(Relation.class))
|
||||
.joinWith(idMapping, rels.col("target").equalTo(idMapping.col("oldId")), "left")
|
||||
.map((MapFunction<Tuple2<Relation, RelationIdMapping>, Relation>) t -> {
|
||||
final Relation r = t._1();
|
||||
Optional.ofNullable(t._2())
|
||||
.map(RelationIdMapping::getNewId)
|
||||
.ifPresent(r::setTarget);
|
||||
return r;
|
||||
}, Encoders.bean(Relation.class))
|
||||
.map(
|
||||
(MapFunction<Relation, String>) OBJECT_MAPPER::writeValueAsString,
|
||||
Encoders.STRING())
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.text(workingDir);
|
||||
|
||||
spark.read().textFile(workingDir)
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.text(relationPath);
|
||||
}
|
||||
|
||||
|
||||
}
|
|
@ -0,0 +1,24 @@
|
|||
package eu.dnetlib.dhp.oa.graph.raw.common;
|
||||
|
||||
public class RelationIdMapping {
|
||||
|
||||
private String oldId;
|
||||
|
||||
private String newId;
|
||||
|
||||
public String getOldId() {
|
||||
return oldId;
|
||||
}
|
||||
|
||||
public void setOldId(final String oldId) {
|
||||
this.oldId = oldId;
|
||||
}
|
||||
|
||||
public String getNewId() {
|
||||
return newId;
|
||||
}
|
||||
|
||||
public void setNewId(final String newId) {
|
||||
this.newId = newId;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "g",
|
||||
"paramLongName": "graphBasePath",
|
||||
"paramDescription": "base graph path providing the set of relations to patch",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "w",
|
||||
"paramLongName": "workingDir",
|
||||
"paramDescription": "intermediate storage location",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "i",
|
||||
"paramLongName": "idMappingPath",
|
||||
"paramDescription": "dataset providing the old -> new identifier mapping",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -100,6 +100,16 @@
|
|||
<value></value>
|
||||
<description>a blacklist of nsprefixes (comma separeted)</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>shouldPatchRelations</name>
|
||||
<value>false</value>
|
||||
<description>activates the relation patching phase, driven by the content in ${idMappingPath}</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>idMappingPath</name>
|
||||
<value></value>
|
||||
<description>path pointing to the relations identifiers mapping dataset</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<description>memory for driver process</description>
|
||||
|
@ -551,7 +561,6 @@
|
|||
<path start="merge_claims_relation"/>
|
||||
</fork>
|
||||
|
||||
|
||||
<action name="merge_claims_publication">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
|
@ -760,7 +769,42 @@
|
|||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<join name="wait_merge" to="End"/>
|
||||
<join name="wait_merge" to="decisionPatchRelations"/>
|
||||
|
||||
<decision name="decisionPatchRelations">
|
||||
<switch>
|
||||
<case to="patchRelations">
|
||||
${(shouldPatchRelations eq "true") and
|
||||
(fs:exists(concat(concat(wf:conf('nameNode'),'/'),wf:conf('idMappingPath'))) eq "true")}
|
||||
</case>
|
||||
<default to="End"/>
|
||||
</switch>
|
||||
</decision>
|
||||
|
||||
<action name="patchRelations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>PatchRelations</name>
|
||||
<class>eu.dnetlib.dhp.oa.graph.raw.PatchRelationsApplication</class>
|
||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory ${sparkExecutorMemory}
|
||||
--executor-cores ${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=7680
|
||||
</spark-opts>
|
||||
<arg>--graphBasePath</arg><arg>${graphOutputPath}</arg>
|
||||
<arg>--workingDir</arg><arg>${workingDir}/patch_relations</arg>
|
||||
<arg>--idMappingPath</arg><arg>${idMappingPath}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
|
@ -1,6 +1,7 @@
|
|||
|
||||
package eu.dnetlib.dhp.oa.graph.raw;
|
||||
|
||||
import static eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions.cleanup;
|
||||
import static eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions.fixVocabularyNames;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
import static org.mockito.Mockito.lenient;
|
||||
|
||||
|
@ -343,7 +344,6 @@ public class MappersTest {
|
|||
|
||||
assertTrue(p.getOriginalId().stream().anyMatch(oid -> oid.equals("oai:pub.uni-bielefeld.de:2949739")));
|
||||
// assertEquals("oai:pub.uni-bielefeld.de:2949739", p.getOriginalId().get(0));
|
||||
|
||||
assertValidId(p.getCollectedfrom().get(0).getKey());
|
||||
assertTrue(p.getAuthor().size() > 0);
|
||||
|
||||
|
@ -559,6 +559,31 @@ public class MappersTest {
|
|||
assertNotNull(d.getInstance().get(0).getUrl());
|
||||
}
|
||||
|
||||
@Test
|
||||
void testEnermaps() throws IOException {
|
||||
final String xml = IOUtils.toString(getClass().getResourceAsStream("enermaps.xml"));
|
||||
final List<Oaf> list = new OdfToOafMapper(vocs, false, true).processMdRecord(xml);
|
||||
|
||||
System.out.println("***************");
|
||||
System.out.println(new ObjectMapper().writeValueAsString(list));
|
||||
System.out.println("***************");
|
||||
|
||||
assertEquals(1, list.size());
|
||||
assertTrue(list.get(0) instanceof Dataset);
|
||||
|
||||
final Dataset d = (Dataset) list.get(0);
|
||||
|
||||
assertValidId(d.getId());
|
||||
assertValidId(d.getCollectedfrom().get(0).getKey());
|
||||
assertTrue(StringUtils.isNotBlank(d.getTitle().get(0).getValue()));
|
||||
assertEquals(1, d.getAuthor().size());
|
||||
assertEquals(1, d.getInstance().size());
|
||||
assertNotNull(d.getInstance().get(0).getUrl());
|
||||
assertNotNull(d.getContext());
|
||||
assertTrue(StringUtils.isNotBlank(d.getContext().get(0).getId()));
|
||||
assertEquals("enermaps::selection::tgs00004", d.getContext().get(0).getId());
|
||||
}
|
||||
|
||||
@Test
|
||||
void testClaimFromCrossref() throws IOException {
|
||||
final String xml = IOUtils.toString(getClass().getResourceAsStream("oaf_claim_crossref.xml"));
|
||||
|
@ -640,6 +665,30 @@ public class MappersTest {
|
|||
System.out.println(p.getTitle().get(0).getValue());
|
||||
}
|
||||
|
||||
@Test
|
||||
void testJairo() throws IOException {
|
||||
final String xml = IOUtils.toString(getClass().getResourceAsStream("oaf_jairo.xml"));
|
||||
final List<Oaf> list = new OafToOafMapper(vocs, false, true).processMdRecord(xml);
|
||||
|
||||
System.out.println("***************");
|
||||
System.out.println(new ObjectMapper().writeValueAsString(list));
|
||||
System.out.println("***************");
|
||||
|
||||
final Publication p = (Publication) list.get(0);
|
||||
assertValidId(p.getId());
|
||||
assertValidId(p.getCollectedfrom().get(0).getKey());
|
||||
|
||||
assertNotNull(p.getTitle());
|
||||
assertFalse(p.getTitle().isEmpty());
|
||||
assertTrue(p.getTitle().size() == 1);
|
||||
assertTrue(StringUtils.isNotBlank(p.getTitle().get(0).getValue()));
|
||||
|
||||
final Publication p_cleaned = cleanup(fixVocabularyNames(p));
|
||||
|
||||
assertNotNull(p_cleaned.getTitle());
|
||||
assertFalse(p_cleaned.getTitle().isEmpty());
|
||||
}
|
||||
|
||||
@Test
|
||||
void testOdfFromHdfs() throws IOException {
|
||||
final String xml = IOUtils.toString(getClass().getResourceAsStream("odf_from_hdfs.xml"));
|
||||
|
|
|
@ -0,0 +1,72 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<record xmlns="http://datacite.org/schema/kernel-4"
|
||||
xmlns:dr="http://www.driver-repository.eu/namespace/dr" xmlns:oaf="http://namespace.openaire.eu/oaf">
|
||||
<oai:header xmlns="http://namespace.openaire.eu/"
|
||||
xmlns:dc="http://purl.org/dc/elements/1.1/"
|
||||
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
|
||||
xmlns:oai="http://www.openarchives.org/OAI/2.0/"
|
||||
xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
|
||||
<dri:objIdentifier>enermaps____::04149ee428d07360314c2cb3ba95d41e</dri:objIdentifier>
|
||||
<dri:recordIdentifier>tgs00004</dri:recordIdentifier>
|
||||
<dri:dateOfCollection>2021-07-20T18:43:12.096+02:00</dri:dateOfCollection>
|
||||
<oaf:datasourceprefix>enermaps____</oaf:datasourceprefix>
|
||||
</oai:header>
|
||||
<metadata>
|
||||
<resource>
|
||||
<identifier identifierType="URL">https://ec.europa.eu/eurostat/web/products-datasets/-/tgs00004</identifier>
|
||||
<creators>
|
||||
<creator>
|
||||
<creatorName>Statistical Office of the European Union (Eurostat)</creatorName>
|
||||
</creator>
|
||||
</creators>
|
||||
<titles>
|
||||
<title>
|
||||
Regional GDP
|
||||
</title>
|
||||
</titles>
|
||||
<publisher>Statistical Office of the European Union (Eurostat)</publisher>
|
||||
<publicationYear>2020</publicationYear>
|
||||
<dates>
|
||||
<date dateType="Issued">2020-10-07</date>
|
||||
</dates>
|
||||
<resourceType resourceTypeGeneral="Dataset"/>
|
||||
<rightsList>
|
||||
<rights rightsURI="info:eu-repo/semantics/openAccess">OPEN</rights>
|
||||
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International</rights>
|
||||
</rightsList>
|
||||
<descriptions>
|
||||
<description descriptionType="Abstract" xml:lang="EN">GDP expressed in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Unions structural policy.</description>
|
||||
</descriptions>
|
||||
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
|
||||
<oaf:dateAccepted>2020-10-07</oaf:dateAccepted>
|
||||
<oaf:accessrights>OPEN</oaf:accessrights>
|
||||
<oaf:license>Creative Commons Attribution 4.0 International</oaf:license>
|
||||
<oaf:hostedBy
|
||||
id="openaire____::1256f046-bf1f-4afc-8b47-d0b147148b18" name="Unknown Repository"/>
|
||||
<oaf:collectedFrom id="enermaps____::db" name="Enermaps"/>
|
||||
<oaf:concept id="enermaps::selection::tgs00004"/>
|
||||
</resource>
|
||||
</metadata>
|
||||
<about xmlns="" xmlns:dc="http://purl.org/dc/elements/1.1/"
|
||||
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
|
||||
xmlns:oai="http://www.openarchives.org/OAI/2.0/"
|
||||
xmlns:prov="http://www.openarchives.org/OAI/2.0/provenance" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
|
||||
<provenance xmlns="http://www.openarchives.org/OAI/2.0/provenance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/provenance http://www.openarchives.org/OAI/2.0/provenance.xsd">
|
||||
<originDescription altered="true" harvestDate="2021-07-20T18:43:12.096+02:00">
|
||||
<baseURL>https%3A%2F%2Flab.idiap.ch%2Fenermaps%2Fapi%2Fdatacite</baseURL>
|
||||
<identifier/>
|
||||
<datestamp/>
|
||||
<metadataNamespace/>
|
||||
</originDescription>
|
||||
</provenance>
|
||||
<oaf:datainfo>
|
||||
<oaf:inferred>false</oaf:inferred>
|
||||
<oaf:deletedbyinference>false</oaf:deletedbyinference>
|
||||
<oaf:trust>0.9</oaf:trust>
|
||||
<oaf:inferenceprovenance/>
|
||||
<oaf:provenanceaction classid="sysimport:crosswalk"
|
||||
classname="sysimport:crosswalk"
|
||||
schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
|
||||
</oaf:datainfo>
|
||||
</about>
|
||||
</record>
|
|
@ -0,0 +1,70 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<record xmlns:dc="http://purl.org/dc/elements/1.1/"
|
||||
xmlns:dr="http://www.driver-repository.eu/namespace/dr"
|
||||
xmlns:dri="http://www.driver-repository.eu/namespace/dri"
|
||||
xmlns:oaf="http://namespace.openaire.eu/oaf"
|
||||
xmlns:oai="http://www.openarchives.org/OAI/2.0/"
|
||||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
|
||||
<header xmlns="http://namespace.openaire.eu/">
|
||||
<dri:objIdentifier>jairo_______::000012e58ed836576ef2a0d38b0f726f</dri:objIdentifier>
|
||||
<dri:recordIdentifier>oai:irdb.nii.ac.jp:01221:0000010198</dri:recordIdentifier>
|
||||
<dri:dateOfCollection/>
|
||||
<dri:mdFormat/>
|
||||
<dri:mdFormatInterpretation/>
|
||||
<dri:repositoryId/>
|
||||
<dr:objectIdentifier/>
|
||||
<dr:dateOfCollection>2021-05-10T11:31:09.424Z</dr:dateOfCollection>
|
||||
<dr:dateOfTransformation>2021-06-03T01:45:42.536Z</dr:dateOfTransformation>
|
||||
<oaf:datasourceprefix>jairo_______</oaf:datasourceprefix>
|
||||
</header>
|
||||
<metadata xmlns="http://namespace.openaire.eu/">
|
||||
<dc:title>多項式GCDを用いた復号法に関する研究</dc:title>
|
||||
<dc:creator>上原, 剛</dc:creator>
|
||||
<dc:creator>甲斐, 博</dc:creator>
|
||||
<dc:creator>野田, 松太郎</dc:creator>
|
||||
<dc:format>application/pdf</dc:format>
|
||||
<dc:identifier>http://hdl.handle.net/2433/25934</dc:identifier>
|
||||
<dc:language>jpn</dc:language>
|
||||
<dc:publisher>京都大学数理解析研究所</dc:publisher>
|
||||
<dc:subject classid="ndc" classname="ndc"
|
||||
schemeid="dnet:subject_classification_typologies" schemename="dnet:subject_classification_typologies">410</dc:subject>
|
||||
<dc:type>Departmental Bulletin Paper</dc:type>
|
||||
<dr:CobjCategory type="publication">0014</dr:CobjCategory>
|
||||
<oaf:dateAccepted>2004-10-01</oaf:dateAccepted>
|
||||
<oaf:projectid/>
|
||||
<oaf:collectedDatasourceid>openaire____::554c7c2873</oaf:collectedDatasourceid>
|
||||
<oaf:accessrights>OPEN</oaf:accessrights>
|
||||
<oaf:hostedBy id="openaire____::554c7c2873" name="JAIRO"/>
|
||||
<oaf:collectedFrom id="openaire____::554c7c2873" name="JAIRO"/>
|
||||
<oaf:identifier identifierType="handle">2433/25934</oaf:identifier>
|
||||
<oaf:identifier identifierType="ncid">AN00061013</oaf:identifier>
|
||||
<oaf:identifier identifierType="LandingPage">http://hdl.handle.net/2433/25934</oaf:identifier>
|
||||
<oaf:fulltext>http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/25934/1/1395-16.pdf</oaf:fulltext>
|
||||
<oaf:journal ep="110" iss="" issn="1880-2818" sp="104" vol="1395">数理解析研究所講究録</oaf:journal>
|
||||
</metadata>
|
||||
<about>
|
||||
<provenance xmlns="http://www.openarchives.org/OAI/2.0/provenance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/provenance http://www.openarchives.org/OAI/2.0/provenance.xsd">
|
||||
<originDescription altered="true" harvestDate="2021-05-10T11:31:09.424Z">
|
||||
<baseURL>https%3A%2F%2Firdb.nii.ac.jp%2Foai</baseURL>
|
||||
<identifier>oai:irdb.nii.ac.jp:01221:0000010198</identifier>
|
||||
<datestamp>2021-04-13T13:36:29Z</datestamp>
|
||||
<metadataNamespace/>
|
||||
<originDescription altered="true" harvestDate="2021-04-13T13:36:29Z">
|
||||
<baseURL>http://repository.kulib.kyoto-u.ac.jp/dspace-oai/request</baseURL>
|
||||
<identifier>oai:repository.kulib.kyoto-u.ac.jp:2433/25934</identifier>
|
||||
<datestamp>2012-07-12T14:15:41Z</datestamp>
|
||||
<metadataNamespace>http://irdb.nii.ac.jp/oai</metadataNamespace>
|
||||
</originDescription>
|
||||
</originDescription>
|
||||
</provenance>
|
||||
<oaf:datainfo>
|
||||
<oaf:inferred>false</oaf:inferred>
|
||||
<oaf:deletedbyinference>false</oaf:deletedbyinference>
|
||||
<oaf:trust>0.9</oaf:trust>
|
||||
<oaf:inferenceprovenance/>
|
||||
<oaf:provenanceaction classid="sysimport:crosswalk:repository"
|
||||
classname="sysimport:crosswalk:repository"
|
||||
schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
|
||||
</oaf:datainfo>
|
||||
</about>
|
||||
</record>
|
|
@ -9,6 +9,41 @@
|
|||
|
||||
<artifactId>dhp-graph-provision</artifactId>
|
||||
|
||||
<build>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>net.alchim31.maven</groupId>
|
||||
<artifactId>scala-maven-plugin</artifactId>
|
||||
<version>4.0.1</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>scala-compile-first</id>
|
||||
<phase>initialize</phase>
|
||||
<goals>
|
||||
<goal>add-source</goal>
|
||||
<goal>compile</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
<execution>
|
||||
<id>scala-test-compile</id>
|
||||
<phase>process-test-resources</phase>
|
||||
<goals>
|
||||
<goal>testCompile</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
<configuration>
|
||||
<args>
|
||||
<arg>-Xmax-classfile-name</arg>
|
||||
<arg>200</arg>
|
||||
</args>
|
||||
<scalaVersion>${scala.version}</scalaVersion>
|
||||
</configuration>
|
||||
</plugin>
|
||||
</plugins>
|
||||
|
||||
</build>
|
||||
|
||||
<dependencies>
|
||||
|
||||
<dependency>
|
||||
|
|
|
@ -10,6 +10,7 @@ import java.util.Set;
|
|||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaRDD;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
|
@ -81,6 +82,7 @@ public class PrepareRelationsJob {
|
|||
|
||||
Set<String> relationFilter = Optional
|
||||
.ofNullable(parser.get("relationFilter"))
|
||||
.map(String::toLowerCase)
|
||||
.map(s -> Sets.newHashSet(Splitter.on(",").split(s)))
|
||||
.orElse(new HashSet<>());
|
||||
log.info("relationFilter: {}", relationFilter);
|
||||
|
@ -130,7 +132,7 @@ public class PrepareRelationsJob {
|
|||
|
||||
JavaRDD<Relation> rels = readPathRelationRDD(spark, inputRelationsPath)
|
||||
.filter(rel -> rel.getDataInfo().getDeletedbyinference() == false)
|
||||
.filter(rel -> relationFilter.contains(rel.getRelClass()) == false);
|
||||
.filter(rel -> relationFilter.contains(StringUtils.lowerCase(rel.getRelClass())) == false);
|
||||
|
||||
JavaRDD<Relation> pruned = pruneRels(
|
||||
pruneRels(
|
||||
|
|
|
@ -71,6 +71,9 @@ public class DropAndCreateESIndex {
|
|||
log.info(STATUS_CODE_TEXT, response.getStatusLine());
|
||||
}
|
||||
|
||||
log.info("Sleeping 60 seconds to avoid to lost the creation of index request");
|
||||
Thread.sleep(60000);
|
||||
|
||||
try (CloseableHttpClient client = HttpClients.createDefault()) {
|
||||
|
||||
final String summaryConf = IOUtils
|
||||
|
|
|
@ -1,90 +0,0 @@
|
|||
package eu.dnetlib.dhp.sx.provision
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Relation, Result}
|
||||
import org.apache.spark.{SparkConf, sql}
|
||||
import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import scala.io.Source
|
||||
|
||||
object SparkCreateActionset {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val log: Logger = LoggerFactory.getLogger(getClass)
|
||||
val conf: SparkConf = new SparkConf()
|
||||
val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/actionset/generate_actionset.json")).mkString)
|
||||
parser.parseArgument(args)
|
||||
|
||||
|
||||
val spark: SparkSession =
|
||||
SparkSession
|
||||
.builder()
|
||||
.config(conf)
|
||||
.appName(getClass.getSimpleName)
|
||||
.master(parser.get("master")).getOrCreate()
|
||||
|
||||
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
log.info(s"sourcePath -> $sourcePath")
|
||||
|
||||
val targetPath = parser.get("targetPath")
|
||||
log.info(s"targetPath -> $targetPath")
|
||||
|
||||
val workingDirFolder = parser.get("workingDirFolder")
|
||||
log.info(s"workingDirFolder -> $workingDirFolder")
|
||||
|
||||
implicit val oafEncoders:Encoder[Oaf] = Encoders.kryo[Oaf]
|
||||
implicit val resultEncoders:Encoder[Result] = Encoders.kryo[Result]
|
||||
implicit val relationEncoders:Encoder[Relation] = Encoders.kryo[Relation]
|
||||
|
||||
import spark.implicits._
|
||||
|
||||
val relation = spark.read.load(s"$sourcePath/relation").as[Relation]
|
||||
|
||||
relation.filter(r => (r.getDataInfo== null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
|
||||
.flatMap(r => List(r.getSource,r.getTarget)).distinct().write.save(s"$workingDirFolder/id_relation")
|
||||
|
||||
|
||||
val idRelation = spark.read.load(s"$workingDirFolder/id_relation").as[String]
|
||||
|
||||
log.info("extract source and target Identifier involved in relations")
|
||||
|
||||
|
||||
log.info("save relation filtered")
|
||||
|
||||
relation.filter(r => (r.getDataInfo== null || r.getDataInfo.getDeletedbyinference == false) && !r.getRelClass.toLowerCase.contains("merge"))
|
||||
.write.mode(SaveMode.Overwrite).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
log.info("saving publication")
|
||||
|
||||
val publication:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/publication").as[Result].map(p => (p.getId, p))
|
||||
|
||||
publication
|
||||
.joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
|
||||
.map(p => p._1._2)
|
||||
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
log.info("saving dataset")
|
||||
val dataset:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/dataset").as[Result].map(p => (p.getId, p))
|
||||
dataset
|
||||
.joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
|
||||
.map(p => p._1._2)
|
||||
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
log.info("saving software")
|
||||
val software:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/software").as[Result].map(p => (p.getId, p))
|
||||
software
|
||||
.joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
|
||||
.map(p => p._1._2)
|
||||
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
|
||||
|
||||
log.info("saving Other Research product")
|
||||
val orp:Dataset[(String, Result)] = spark.read.load(s"$sourcePath/otherresearchproduct").as[Result].map(p => (p.getId, p))
|
||||
orp
|
||||
.joinWith(idRelation, publication("_1").equalTo(idRelation("value")))
|
||||
.map(p => p._1._2)
|
||||
.write.mode(SaveMode.Append).save(s"$workingDirFolder/actionSetOaf")
|
||||
}
|
||||
|
||||
}
|
|
@ -21,8 +21,10 @@ import com.google.common.collect.Lists;
|
|||
import eu.dnetlib.dhp.oa.provision.model.JoinedEntity;
|
||||
import eu.dnetlib.dhp.oa.provision.model.RelatedEntity;
|
||||
import eu.dnetlib.dhp.oa.provision.model.RelatedEntityWrapper;
|
||||
import eu.dnetlib.dhp.oa.provision.utils.ContextDef;
|
||||
import eu.dnetlib.dhp.oa.provision.utils.ContextMapper;
|
||||
import eu.dnetlib.dhp.oa.provision.utils.XmlRecordFactory;
|
||||
import eu.dnetlib.dhp.schema.oaf.Dataset;
|
||||
import eu.dnetlib.dhp.schema.oaf.Project;
|
||||
import eu.dnetlib.dhp.schema.oaf.Publication;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
@ -131,4 +133,32 @@ public class XmlRecordFactoryTest {
|
|||
System.out.println(doc.asXML());
|
||||
assertEquals("", doc.valueOf("//rel/validated"));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testEnermapsRecord() throws IOException, DocumentException {
|
||||
|
||||
String contextmap = "<entries><entry id=\"enermaps\" label=\"Energy Research\" name=\"context\" type=\"community\"/>"
|
||||
+
|
||||
"<entry id=\"enermaps::selection\" label=\"Featured dataset\" name=\"category\"/>" +
|
||||
"<entry id=\"enermaps::selection::tgs00004\" label=\"Dataset title\" name=\"concept\"/>" +
|
||||
"</entries>";
|
||||
|
||||
ContextMapper contextMapper = ContextMapper.fromXml(contextmap);
|
||||
XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false, XmlConverterJob.schemaLocation,
|
||||
otherDsTypeId);
|
||||
|
||||
Dataset d = OBJECT_MAPPER
|
||||
.readValue(IOUtils.toString(getClass().getResourceAsStream("enermaps.json")), Dataset.class);
|
||||
|
||||
JoinedEntity je = new JoinedEntity<>(d);
|
||||
|
||||
String xml = xmlRecordFactory.build(je);
|
||||
|
||||
assertNotNull(xml);
|
||||
|
||||
Document doc = new SAXReader().read(new StringReader(xml));
|
||||
assertNotNull(doc);
|
||||
System.out.println(doc.asXML());
|
||||
assertEquals("enermaps::selection::tgs00004", doc.valueOf("//concept/@id"));
|
||||
}
|
||||
}
|
||||
|
|
File diff suppressed because one or more lines are too long
|
@ -13,7 +13,7 @@ echo "Getting file from " $SCRIPT_PATH
|
|||
hdfs dfs -copyToLocal $SCRIPT_PATH
|
||||
|
||||
echo "Creating indicators"
|
||||
impala-shell -d ${TARGET} -q "invalidate metadata"
|
||||
impala-shell -q "invalidate metadata"
|
||||
impala-shell -d ${TARGET} -q "show tables" --delimited | sed "s/^\(.*\)/compute stats ${TARGET}.\1;/" | impala-shell -c -f -
|
||||
cat step16_7-createIndicatorsTables.sql | impala-shell -d $TARGET -f -
|
||||
echo "Indicators created"
|
|
@ -57,12 +57,14 @@ UNION ALL
|
|||
SELECT * FROM ${stats_db_name}.software_sources
|
||||
UNION ALL
|
||||
SELECT * FROM ${stats_db_name}.otherresearchproduct_sources;
|
||||
--
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_sources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_sources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_sources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_sources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_sources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_sources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_sources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_sources COMPUTE STATISTICS FOR COLUMNS;
|
||||
|
||||
|
||||
create table ${stats_db_name}.result_orcid as
|
||||
select distinct res.id, regexp_replace(res.orcid, 'http://orcid.org/' ,'') as orcid
|
||||
from (
|
||||
SELECT substr(res.id, 4) as id, auth_pid.value as orcid
|
||||
FROM ${openaire_db_name}.result res
|
||||
LATERAL VIEW explode(author) a as auth
|
||||
LATERAL VIEW explode(auth.pid) ap as auth_pid
|
||||
LATERAL VIEW explode(auth.pid.qualifier.classid) apt as author_pid_type
|
||||
WHERE res.datainfo.deletedbyinference = FALSE and res.datainfo.invisible = FALSE and author_pid_type = 'orcid') as res
|
|
@ -34,12 +34,3 @@ union all
|
|||
select * from ${stats_db_name}.software_refereed
|
||||
union all
|
||||
select * from ${stats_db_name}.otherresearchproduct_refereed;
|
||||
--
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_refereed COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_refereed COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_refereed COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_refereed COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_refereed COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_refereed COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_refereed COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_refereed COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -40,3 +40,197 @@ join result_instance ri on ri.id = p.id
|
|||
join datasource on datasource.id = ri.hostedby
|
||||
where datasource.id like '%doajarticles%') tmp
|
||||
on p.id= tmp.id;
|
||||
|
||||
create table indi_project_pubs_count stored as parquet as
|
||||
select pr.id id, count(p.id) total_pubs from project_results pr
|
||||
join publication p on p.id=pr.result
|
||||
group by pr.id;
|
||||
|
||||
create table indi_project_datasets_count stored as parquet as
|
||||
select pr.id id, count(d.id) total_datasets from project_results pr
|
||||
join dataset d on d.id=pr.result
|
||||
group by pr.id;
|
||||
|
||||
create table indi_project_software_count stored as parquet as
|
||||
select pr.id id, count(s.id) total_software from project_results pr
|
||||
join software s on s.id=pr.result
|
||||
group by pr.id;
|
||||
|
||||
create table indi_project_otherresearch_count stored as parquet as
|
||||
select pr.id id, count(o.id) total_other from project_results pr
|
||||
join otherresearchproduct o on o.id=pr.result
|
||||
group by pr.id;
|
||||
|
||||
create table indi_pub_avg_year_country_oa stored as parquet as
|
||||
select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA,
|
||||
round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA
|
||||
from
|
||||
(SELECT year, country, SUM(CASE
|
||||
WHEN bestlicence='Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS OpenAccess, SUM(CASE
|
||||
WHEN bestlicence<>'Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS NonOpenAccess
|
||||
FROM publication p
|
||||
join result_organization ro on p.id=ro.id
|
||||
join organization o on o.id=ro.organization
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by year, country) tmp;
|
||||
|
||||
create table indi_dataset_avg_year_country_oa stored as parquet as
|
||||
select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA,
|
||||
round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA
|
||||
from
|
||||
(SELECT year, country, SUM(CASE
|
||||
WHEN bestlicence='Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS OpenAccess, SUM(CASE
|
||||
WHEN bestlicence<>'Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS NonOpenAccess
|
||||
FROM dataset d
|
||||
join result_organization ro on d.id=ro.id
|
||||
join organization o on o.id=ro.organization
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by year, country) tmp;
|
||||
|
||||
create table indi_software_avg_year_country_oa stored as parquet as
|
||||
select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA,
|
||||
round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA
|
||||
from
|
||||
(SELECT year, country, SUM(CASE
|
||||
WHEN bestlicence='Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS OpenAccess, SUM(CASE
|
||||
WHEN bestlicence<>'Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS NonOpenAccess
|
||||
FROM software s
|
||||
join result_organization ro on s.id=ro.id
|
||||
join SOURCER.organization o on o.id=ro.organization
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by year, country) tmp;
|
||||
|
||||
|
||||
create table indi_other_avg_year_country_oa stored as parquet as
|
||||
select year, country, round(OpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageOA,
|
||||
round(NonOpenAccess/(OpenAccess+NonOpenAccess)*100,3) as averageNonOA
|
||||
from
|
||||
(SELECT year, country, SUM(CASE
|
||||
WHEN bestlicence='Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS OpenAccess, SUM(CASE
|
||||
WHEN bestlicence<>'Open Access' THEN 1
|
||||
ELSE 0
|
||||
END) AS NonOpenAccess
|
||||
FROM otherresearchproduct orp
|
||||
join result_organization ro on orp.id=ro.id
|
||||
join organization o on o.id=ro.organization
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by year, country) tmp;
|
||||
|
||||
create table indi_pub_avg_year_context_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from publication_concepts pc
|
||||
join context c on pc.concept like concat('%',c.id,'%')
|
||||
join publication p on p.id=pc.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by c.name, year )
|
||||
select year, name, round(no_of_pubs/total*100,3) averageofpubs
|
||||
from total;
|
||||
|
||||
create table indi_dataset_avg_year_context_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from dataset_concepts pc
|
||||
join context c on pc.concept like concat('%',c.id,'%')
|
||||
join dataset p on p.id=pc.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by c.name, year )
|
||||
select year, name, round(no_of_pubs/total*100,3) averageofdataset
|
||||
from total;
|
||||
|
||||
create table indi_software_avg_year_context_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from software_concepts pc
|
||||
join context c on pc.concept like concat('%',c.id,'%')
|
||||
join software p on p.id=pc.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by c.name, year )
|
||||
select year, name, round(no_of_pubs/total*100,3) averageofsoftware
|
||||
from total;
|
||||
|
||||
create table indi_other_avg_year_context_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pc.id) no_of_pubs, year, c.name name, sum(count(distinct pc.id)) over(PARTITION by year) as total from otherresearchproduct_concepts pc
|
||||
join context c on pc.concept like concat('%',c.id,'%')
|
||||
join otherresearchproduct p on p.id=pc.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by c.name, year )
|
||||
select year, name, round(no_of_pubs/total*100,3) averageofother
|
||||
from total;
|
||||
|
||||
create table indi_other_avg_year_content_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total
|
||||
from otherresearchproduct_datasources pd
|
||||
join datasource d on datasource=d.id
|
||||
join otherresearchproduct p on p.id=pd.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by d.type, year)
|
||||
select year, type, round(no_of_pubs/total*100,3) averageOfOtherresearchproduct
|
||||
from total;
|
||||
|
||||
create table indi_software_avg_year_content_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total
|
||||
from software_datasources pd
|
||||
join datasource d on datasource=d.id
|
||||
join software p on p.id=pd.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by d.type, year)
|
||||
select year, type, round(no_of_pubs/total*100,3) averageOfSoftware
|
||||
from total;
|
||||
|
||||
create table indi_dataset_avg_year_content_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total
|
||||
from dataset_datasources pd
|
||||
join datasource d on datasource=d.id
|
||||
join dataset p on p.id=pd.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by d.type, year)
|
||||
select year, type, round(no_of_pubs/total*100,3) averageOfDatasets
|
||||
from total;
|
||||
|
||||
create table indi_pub_avg_year_content_oa stored as parquet as
|
||||
with total as
|
||||
(select count(distinct pd.id) no_of_pubs, year, d.type type, sum(count(distinct pd.id)) over(PARTITION by year) as total
|
||||
from publication_datasources pd
|
||||
join datasource d on datasource=d.id
|
||||
join publication p on p.id=pd.id
|
||||
where cast(year as int)>=2003 and cast(year as int)<=2021
|
||||
group by d.type, year)
|
||||
select year, type, round(no_of_pubs/total*100,3) averageOfPubs
|
||||
from total;
|
||||
|
||||
create table indi_pub_has_cc_licence stored as parquet as
|
||||
select distinct p.id, (case when lic='' or lic is null then 0 else 1 end) as has_cc_license
|
||||
from publication p
|
||||
left outer join (select p.id, license.type as lic from publication p
|
||||
join publication_licenses as license on license.id = p.id
|
||||
where lower(license.type) LIKE '%creativecommons.org%' OR lower(license.type) LIKE '%cc-%') tmp
|
||||
on p.id= tmp.id;
|
||||
|
||||
create table indi_pub_has_cc_licence_url stored as parquet as
|
||||
select distinct p.id, (case when lic_host='' or lic_host is null then 0 else 1 end) as has_cc_license_url
|
||||
from publication p
|
||||
left outer join (select p.id, lower(parse_url(license.type, "HOST")) as lic_host
|
||||
from publication p
|
||||
join publication_licenses as license on license.id = p.id
|
||||
WHERE lower(parse_url(license.type, 'HOST')) = 'creativecommons.org') tmp
|
||||
on p.id= tmp.id;
|
||||
|
||||
create table indi_pub_has_abstract stored as parquet as
|
||||
select distinct publication.id, coalesce(abstract, 1) has_abstract
|
||||
from publication;
|
|
@ -90,27 +90,8 @@ FROM ${openaire_db_name}.publication p
|
|||
where p.datainfo.deletedbyinference = false;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.publication_citations AS
|
||||
SELECT substr(p.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS result
|
||||
SELECT substr(p.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS cites
|
||||
FROM ${openaire_db_name}.publication p
|
||||
lateral view explode(p.extrainfo) citations AS citation
|
||||
WHERE xpath_string(citation.value, "//citation/id[@type='openaire']/@value") != ""
|
||||
and p.datainfo.deletedbyinference = false;
|
||||
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_tmp COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_tmp COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_classifications COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_classifications COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_concepts COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_concepts COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_datasources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_datasources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_languages COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_languages COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_oids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_oids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_pids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_pids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_topics COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_topics COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_citations COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.publication_citations COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -41,7 +41,7 @@ FROM ${openaire_db_name}.dataset d
|
|||
WHERE d.datainfo.deletedbyinference = FALSE;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.dataset_citations AS
|
||||
SELECT substr(d.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS result
|
||||
SELECT substr(d.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS cites
|
||||
FROM ${openaire_db_name}.dataset d
|
||||
LATERAL VIEW explode(d.extrainfo) citations AS citation
|
||||
WHERE xpath_string(citation.value, "//citation/id[@type='openaire']/@value") != ""
|
||||
|
@ -96,20 +96,3 @@ SELECT substr(p.id, 4) AS id, subjects.subject.qualifier.classname AS type, subj
|
|||
FROM ${openaire_db_name}.dataset p
|
||||
LATERAL VIEW explode(p.subject) subjects AS subject
|
||||
where p.datainfo.deletedbyinference = false;
|
||||
--
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_tmp COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_tmp COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_classifications COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_classifications COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_concepts COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_concepts COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_datasources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_datasources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_languages COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_languages COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_oids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_oids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_pids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_pids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_topics COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.dataset_topics COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -41,7 +41,7 @@ from ${openaire_db_name}.software s
|
|||
where s.datainfo.deletedbyinference = false;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.software_citations AS
|
||||
SELECT substr(s.id, 4) as id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS RESULT
|
||||
SELECT substr(s.id, 4) as id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS cites
|
||||
FROM ${openaire_db_name}.software s
|
||||
LATERAL VIEW explode(s.extrainfo) citations as citation
|
||||
where xpath_string(citation.value, "//citation/id[@type='openaire']/@value") != ""
|
||||
|
@ -96,20 +96,3 @@ SELECT substr(p.id, 4) AS id, subjects.subject.qualifier.classname AS type, subj
|
|||
FROM ${openaire_db_name}.software p
|
||||
LATERAL VIEW explode(p.subject) subjects AS subject
|
||||
where p.datainfo.deletedbyinference = false;
|
||||
--
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_tmp COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_tmp COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_classifications COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_classifications COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_concepts COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_concepts COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_datasources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_datasources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_languages COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_languages COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_oids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_oids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_pids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_pids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_topics COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.software_topics COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -41,7 +41,7 @@ WHERE o.datainfo.deletedbyinference = FALSE;
|
|||
|
||||
-- Otherresearchproduct_citations
|
||||
CREATE TABLE ${stats_db_name}.otherresearchproduct_citations AS
|
||||
SELECT substr(o.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS RESULT
|
||||
SELECT substr(o.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS cites
|
||||
FROM ${openaire_db_name}.otherresearchproduct o LATERAL VIEW explode(o.extrainfo) citations AS citation
|
||||
WHERE xpath_string(citation.value, "//citation/id[@type='openaire']/@value") != ""
|
||||
and o.datainfo.deletedbyinference = false;
|
||||
|
@ -87,20 +87,3 @@ CREATE TABLE ${stats_db_name}.otherresearchproduct_topics AS
|
|||
SELECT substr(p.id, 4) AS id, subjects.subject.qualifier.classname AS type, subjects.subject.value AS topic
|
||||
FROM ${openaire_db_name}.otherresearchproduct p LATERAL VIEW explode(p.subject) subjects AS subject
|
||||
where p.datainfo.deletedbyinference = false;
|
||||
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_tmp COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_tmp COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_classifications COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_classifications COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_concepts COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_concepts COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_datasources COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_datasources COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_languages COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_languages COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_oids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_oids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_pids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_pids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_topics COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.otherresearchproduct_topics COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -13,11 +13,17 @@ WHERE r.reltype = 'projectOrganization'
|
|||
and r.datainfo.deletedbyinference = false;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.project_results AS
|
||||
SELECT substr(r.target, 4) AS id, substr(r.source, 4) AS result
|
||||
SELECT substr(r.target, 4) AS id, substr(r.source, 4) AS result, r.datainfo.provenanceaction.classname as provenance
|
||||
FROM ${openaire_db_name}.relation r
|
||||
WHERE r.reltype = 'resultProject'
|
||||
and r.datainfo.deletedbyinference = false;
|
||||
|
||||
create table ${stats_db_name}.project_classification as
|
||||
select substr(p.id, 4) as id, class.h2020programme.code, class.level1, class.level2, class.level3
|
||||
from ${openaire_db_name}.project p
|
||||
lateral view explode(p.h2020classification) classifs as class
|
||||
where p.datainfo.deletedbyinference=false and class.h2020programme is not null;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.project_tmp
|
||||
(
|
||||
id STRING,
|
||||
|
|
|
@ -130,12 +130,7 @@ WHERE r.reltype = 'resultOrganization'
|
|||
and r.datainfo.deletedbyinference = false;
|
||||
|
||||
CREATE TABLE ${stats_db_name}.result_projects AS
|
||||
select pr.result AS id, pr.id AS project, datediff(p.enddate, p.startdate) AS daysfromend
|
||||
select pr.result AS id, pr.id AS project, datediff(p.enddate, p.startdate) AS daysfromend, pr.provenance as provenance
|
||||
FROM ${stats_db_name}.result r
|
||||
JOIN ${stats_db_name}.project_results pr ON r.id = pr.result
|
||||
JOIN ${stats_db_name}.project_tmp p ON p.id = pr.id;
|
||||
|
||||
-- ANALYZE TABLE ${stats_db_name}.result_organization COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.result_organization COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.result_projects COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.result_projects COMPUTE STATISTICS FOR COLUMNS;
|
|
@ -17,7 +17,9 @@ CREATE TABLE ${stats_db_name}.datasource_tmp
|
|||
`latitude` STRING,
|
||||
`longitude` STRING,
|
||||
`websiteurl` STRING,
|
||||
`compatibility` STRING
|
||||
`compatibility` STRING,
|
||||
issn_printed STRING,
|
||||
issn_online STRING
|
||||
) CLUSTERED BY (id) INTO 100 buckets stored AS orc tblproperties ('transactional' = 'true');
|
||||
|
||||
-- Insert statement that takes into account the piwik_id of the openAIRE graph
|
||||
|
@ -32,7 +34,9 @@ SELECT substr(d1.id, 4) AS id,
|
|||
d1.latitude.value AS latitude,
|
||||
d1.longitude.value AS longitude,
|
||||
d1.websiteurl.value AS websiteurl,
|
||||
d1.openairecompatibility.classid AS compatibility
|
||||
d1.openairecompatibility.classid AS compatibility,
|
||||
d1.journal.issnprinted AS issn_printed,
|
||||
d1.journal.issnonline AS issn_online
|
||||
FROM ${openaire_db_name}.datasource d1
|
||||
LEFT OUTER JOIN
|
||||
(SELECT id, split(originalidd, '\\:')[1] as piwik_id
|
||||
|
@ -51,7 +55,7 @@ CREATE TABLE ${stats_db_name}.dual
|
|||
INSERT INTO ${stats_db_name}.dual
|
||||
VALUES ('X');
|
||||
INSERT INTO ${stats_db_name}.datasource_tmp (`id`, `name`, `type`, `dateofvalidation`, `yearofvalidation`, `harvested`,
|
||||
`piwik_id`, `latitude`, `longitude`, `websiteurl`, `compatibility`)
|
||||
`piwik_id`, `latitude`, `longitude`, `websiteurl`, `compatibility`, `issn_printed`, `issn_online`)
|
||||
SELECT 'other',
|
||||
'Other',
|
||||
'Repository',
|
||||
|
@ -62,7 +66,9 @@ SELECT 'other',
|
|||
NULL,
|
||||
NULL,
|
||||
NULL,
|
||||
'unknown'
|
||||
'unknown',
|
||||
null,
|
||||
null
|
||||
FROM ${stats_db_name}.dual
|
||||
WHERE 'other' not in (SELECT id FROM ${stats_db_name}.datasource_tmp WHERE name = 'Unknown Repository');
|
||||
DROP TABLE ${stats_db_name}.dual;
|
||||
|
@ -98,12 +104,3 @@ where d.datainfo.deletedbyinference = false;
|
|||
CREATE OR REPLACE VIEW ${stats_db_name}.datasource_results AS
|
||||
SELECT datasource AS id, id AS result
|
||||
FROM ${stats_db_name}.result_datasources;
|
||||
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_tmp COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_tmp COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_languages COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_languages COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_oids COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_oids COMPUTE STATISTICS FOR COLUMNS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_organizations COMPUTE STATISTICS;
|
||||
-- ANALYZE TABLE ${stats_db_name}.datasource_organizations COMPUTE STATISTICS FOR COLUMNS;
|
Loading…
Reference in New Issue