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applying changes from beta

This commit is contained in:
Claudio Atzori 2023-11-03 12:08:39 +01:00
parent 97454e9594 a870aa2b09
commit 8c03c41d5d
88 changed files with 4651 additions and 1855 deletions
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1
dhp-common/src/main/java/eu/dnetlib/dhp/common/Constants.java
View File

@ -51,6 +51,7 @@ public class Constants {
public static final String RETRY_DELAY = "retryDelay";
public static final String CONNECT_TIMEOUT = "connectTimeOut";
public static final String READ_TIMEOUT = "readTimeOut";
public static final String REQUEST_METHOD = "requestMethod";
public static final String FROM_DATE_OVERRIDE = "fromDateOverride";
public static final String UNTIL_DATE_OVERRIDE = "untilDateOverride";

37
dhp-common/src/main/java/eu/dnetlib/dhp/common/collection/HttpClientParams.java
View File

@ -1,6 +1,9 @@
package eu.dnetlib.dhp.common.collection;
import java.util.HashMap;
import java.util.Map;
/**
* Bundles the http connection parameters driving the client behaviour.
*/
@ -13,6 +16,8 @@ public class HttpClientParams {
public static int _connectTimeOut = 10; // seconds
public static int _readTimeOut = 30; // seconds
public static String _requestMethod = "GET";
/**
* Maximum number of allowed retires before failing
*/
@ -38,17 +43,30 @@ public class HttpClientParams {
*/
private int readTimeOut;
/**
* Custom http headers
*/
private Map<String, String> headers;
/**
* Request method (i.e., GET, POST etc)
*/
private String requestMethod;
public HttpClientParams() {
this(_maxNumberOfRetry, _requestDelay, _retryDelay, _connectTimeOut, _readTimeOut);
this(_maxNumberOfRetry, _requestDelay, _retryDelay, _connectTimeOut, _readTimeOut, new HashMap<>(),
_requestMethod);
}
public HttpClientParams(int maxNumberOfRetry, int requestDelay, int retryDelay, int connectTimeOut,
int readTimeOut) {
int readTimeOut, Map<String, String> headers, String requestMethod) {
this.maxNumberOfRetry = maxNumberOfRetry;
this.requestDelay = requestDelay;
this.retryDelay = retryDelay;
this.connectTimeOut = connectTimeOut;
this.readTimeOut = readTimeOut;
this.headers = headers;
this.requestMethod = requestMethod;
}
public int getMaxNumberOfRetry() {
@ -91,4 +109,19 @@ public class HttpClientParams {
this.readTimeOut = readTimeOut;
}
public Map<String, String> getHeaders() {
return headers;
}
public void setHeaders(Map<String, String> headers) {
this.headers = headers;
}
public String getRequestMethod() {
return requestMethod;
}
public void setRequestMethod(String requestMethod) {
this.requestMethod = requestMethod;
}
}

7
dhp-common/src/main/java/eu/dnetlib/dhp/common/collection/HttpConnector2.java
View File

@ -107,7 +107,14 @@ public class HttpConnector2 {
urlConn.setReadTimeout(getClientParams().getReadTimeOut() * 1000);
urlConn.setConnectTimeout(getClientParams().getConnectTimeOut() * 1000);
urlConn.addRequestProperty(HttpHeaders.USER_AGENT, userAgent);
urlConn.setRequestMethod(getClientParams().getRequestMethod());
// if provided, add custom headers
if (!getClientParams().getHeaders().isEmpty()) {
for (Map.Entry<String, String> headerEntry : getClientParams().getHeaders().entrySet()) {
urlConn.addRequestProperty(headerEntry.getKey(), headerEntry.getValue());
}
}
if (log.isDebugEnabled()) {
logHeaderFields(urlConn);
}

97
dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/DispatchEntitiesSparkJob.java
View File

@ -1,97 +0,0 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.ModelSupport;
public class DispatchEntitiesSparkJob {
private static final Logger log = LoggerFactory.getLogger(DispatchEntitiesSparkJob.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
Objects
.requireNonNull(
DispatchEntitiesSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> dispatchEntities(spark, inputPath, outputPath, filterInvisible));
}
private static void dispatchEntities(
SparkSession spark,
String inputPath,
String outputPath,
boolean filterInvisible) {
Dataset<String> df = spark.read().textFile(inputPath);
ModelSupport.oafTypes.entrySet().parallelStream().forEach(entry -> {
String entityType = entry.getKey();
Class<?> clazz = entry.getValue();
final String entityPath = outputPath + "/" + entityType;
if (!entityType.equalsIgnoreCase("relation")) {
HdfsSupport.remove(entityPath, spark.sparkContext().hadoopConfiguration());
Dataset<Row> entityDF = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(
df
.filter((FilterFunction<String>) s -> s.startsWith(clazz.getName()))
.map(
(MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"),
Encoders.STRING()));
if (filterInvisible) {
entityDF = entityDF.filter("dataInfo.invisible != true");
}
entityDF
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(entityPath);
}
});
}
}

223
dhp-common/src/main/java/eu/dnetlib/dhp/oa/merge/GroupEntitiesSparkJob.java
View File

@ -2,36 +2,28 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
import java.io.IOException;
import java.util.List;
import java.util.Objects;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
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.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.expressions.Aggregator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.jayway.jsonpath.Configuration;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.jayway.jsonpath.Option;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
@ -39,13 +31,9 @@ import scala.Tuple2;
* Groups the graph content by entity identifier to ensure ID uniqueness
*/
public class GroupEntitiesSparkJob {
private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
private static final String ID_JPATH = "$.id";
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
public static void main(String[] args) throws Exception {
@ -66,9 +54,15 @@ public class GroupEntitiesSparkJob {
String graphInputPath = parser.get("graphInputPath");
log.info("graphInputPath: {}", graphInputPath);
String checkpointPath = parser.get("checkpointPath");
log.info("checkpointPath: {}", checkpointPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
boolean filterInvisible = Boolean.valueOf(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
@ -77,127 +71,96 @@ public class GroupEntitiesSparkJob {
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
groupEntities(spark, graphInputPath, outputPath);
HdfsSupport.remove(checkpointPath, spark.sparkContext().hadoopConfiguration());
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible);
});
}
private static void groupEntities(
SparkSession spark,
String inputPath,
String outputPath) {
String checkpointPath,
String outputPath,
boolean filterInvisible) {
final TypedColumn<OafEntity, OafEntity> aggregator = new GroupingAggregator().toColumn();
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
spark
.read()
.textFile(toSeq(listEntityPaths(inputPath, sc)))
.map((MapFunction<String, OafEntity>) GroupEntitiesSparkJob::parseOaf, Encoders.kryo(OafEntity.class))
.filter((FilterFunction<OafEntity>) e -> StringUtils.isNotBlank(ModelSupport.idFn().apply(e)))
.groupByKey((MapFunction<OafEntity, String>) oaf -> ModelSupport.idFn().apply(oaf), Encoders.STRING())
.agg(aggregator)
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
String entityInputPath = inputPath + "/" + entity;
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
continue;
}
allEntities = allEntities
.union(
((Dataset<OafEntity>) spark
.read()
.schema(Encoders.bean(entityClass).schema())
.json(entityInputPath)
.filter("length(id) > 0")
.as(Encoders.bean(entityClass)))
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
}
Dataset<?> groupedEntities = allEntities
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
.reduceGroups((ReduceFunction<OafEntity>) (b, a) -> OafMapperUtils.mergeEntities(b, a))
.map(
(MapFunction<Tuple2<String, OafEntity>, String>) t -> t._2().getClass().getName() +
"|" + OBJECT_MAPPER.writeValueAsString(t._2()),
Encoders.STRING())
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2(
t._2().getClass().getName(), t._2()),
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
// pivot on "_1" (classname of the entity)
// created columns containing only entities of the same class
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
groupedEntities = groupedEntities
.withColumn(
entity,
when(col("_1").equalTo(entityClass.getName()), col("_2")));
}
groupedEntities
.drop("_1", "_2")
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.text(outputPath);
}
.option("compression", "gzip")
.save(checkpointPath);
public static class GroupingAggregator extends Aggregator<OafEntity, OafEntity, OafEntity> {
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
@Override
public OafEntity zero() {
return null;
}
@Override
public OafEntity reduce(OafEntity b, OafEntity a) {
return mergeAndGet(b, a);
}
private OafEntity mergeAndGet(OafEntity b, OafEntity a) {
if (Objects.nonNull(a) && Objects.nonNull(b)) {
return OafMapperUtils.mergeEntities(b, a);
}
return Objects.isNull(a) ? b : a;
}
@Override
public OafEntity merge(OafEntity b, OafEntity a) {
return mergeAndGet(b, a);
}
@Override
public OafEntity finish(OafEntity j) {
return j;
}
@Override
public Encoder<OafEntity> bufferEncoder() {
return Encoders.kryo(OafEntity.class);
}
@Override
public Encoder<OafEntity> outputEncoder() {
return Encoders.kryo(OafEntity.class);
}
}
private static OafEntity parseOaf(String s) {
DocumentContext dc = JsonPath
.parse(s, Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS));
final String id = dc.read(ID_JPATH);
if (StringUtils.isNotBlank(id)) {
String prefix = StringUtils.substringBefore(id, "|");
switch (prefix) {
case "10":
return parse(s, Datasource.class);
case "20":
return parse(s, Organization.class);
case "40":
return parse(s, Project.class);
case "50":
String resultType = dc.read("$.resulttype.classid");
switch (resultType) {
case "publication":
return parse(s, Publication.class);
case "dataset":
return parse(s, eu.dnetlib.dhp.schema.oaf.Dataset.class);
case "software":
return parse(s, Software.class);
case "other":
return parse(s, OtherResearchProduct.class);
default:
throw new IllegalArgumentException(String.format("invalid resultType: '%s'", resultType));
}
default:
throw new IllegalArgumentException(String.format("invalid id prefix: '%s'", prefix));
}
} else {
throw new IllegalArgumentException(String.format("invalid oaf: '%s'", s));
}
}
private static <T extends OafEntity> OafEntity parse(String s, Class<T> clazz) {
try {
return OBJECT_MAPPER.readValue(s, clazz);
} catch (IOException e) {
throw new IllegalArgumentException(e);
}
}
private static List<String> listEntityPaths(String inputPath, JavaSparkContext sc) {
return HdfsSupport
.listFiles(inputPath, sc.hadoopConfiguration())
ModelSupport.entityTypes
.entrySet()
.stream()
.filter(f -> !f.toLowerCase().contains("relation"))
.collect(Collectors.toList());
}
.map(e -> parPool.submit(() -> {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
spark
.read()
.load(checkpointPath)
.select(col(entity).as("value"))
.filter("value IS NOT NULL")
.as(OAFENTITY_KRYO_ENC)
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + entity);
}))
.collect(Collectors.toList())
.forEach(t -> {
try {
t.get();
} catch (InterruptedException | ExecutionException e) {
throw new RuntimeException(e);
}
});
}
}

52
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java
View File

@ -36,6 +36,19 @@ public class GraphCleaningFunctions extends CleaningFunctions {
public static final int TITLE_FILTER_RESIDUAL_LENGTH = 5;
private static final String NAME_CLEANING_REGEX = "[\\r\\n\\t\\s]+";
private static final HashSet<String> PEER_REVIEWED_TYPES = new HashSet<>();
static {
PEER_REVIEWED_TYPES.add("Article");
PEER_REVIEWED_TYPES.add("Part of book or chapter of book");
PEER_REVIEWED_TYPES.add("Book");
PEER_REVIEWED_TYPES.add("Doctoral thesis");
PEER_REVIEWED_TYPES.add("Master thesis");
PEER_REVIEWED_TYPES.add("Data Paper");
PEER_REVIEWED_TYPES.add("Thesis");
PEER_REVIEWED_TYPES.add("Bachelor thesis");
PEER_REVIEWED_TYPES.add("Conference object");
}
public static <T extends Oaf> T cleanContext(T value, String contextId, String verifyParam) {
if (ModelSupport.isSubClass(value, Result.class)) {
@ -273,6 +286,12 @@ public class GraphCleaningFunctions extends CleaningFunctions {
public static <T extends Oaf> T cleanup(T value, VocabularyGroup vocs) {
if (Objects.isNull(value.getDataInfo())) {
final DataInfo d = new DataInfo();
d.setDeletedbyinference(false);
value.setDataInfo(d);
}
if (value instanceof OafEntity) {
OafEntity e = (OafEntity) value;
@ -292,6 +311,10 @@ public class GraphCleaningFunctions extends CleaningFunctions {
} else if (value instanceof Result) {
Result r = (Result) value;
if (Objects.isNull(r.getContext())) {
r.setContext(new ArrayList<>());
}
if (Objects.nonNull(r.getFulltext())
&& (ModelConstants.SOFTWARE_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()) ||
ModelConstants.DATASET_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()))) {
@ -493,6 +516,35 @@ public class GraphCleaningFunctions extends CleaningFunctions {
if (Objects.isNull(i.getRefereed()) || StringUtils.isBlank(i.getRefereed().getClassid())) {
i.setRefereed(qualifier("0000", "Unknown", ModelConstants.DNET_REVIEW_LEVELS));
}
// from the script from Dimitris
if ("0000".equals(i.getRefereed().getClassid())) {
final boolean isFromCrossref = Optional
.ofNullable(i.getCollectedfrom())
.map(KeyValue::getKey)
.map(id -> id.equals(ModelConstants.CROSSREF_ID))
.orElse(false);
final boolean hasDoi = Optional
.ofNullable(i.getPid())
.map(
pid -> pid
.stream()
.anyMatch(
p -> PidType.doi.toString().equals(p.getQualifier().getClassid())))
.orElse(false);
final boolean isPeerReviewedType = PEER_REVIEWED_TYPES
.contains(i.getInstancetype().getClassname());
final boolean noOtherLitType = r
.getInstance()
.stream()
.noneMatch(ii -> "Other literature type".equals(ii.getInstancetype().getClassname()));
if (isFromCrossref && hasDoi && isPeerReviewedType && noOtherLitType) {
i.setRefereed(qualifier("0001", "peerReviewed", ModelConstants.DNET_REVIEW_LEVELS));
} else {
i.setRefereed(qualifier("0002", "nonPeerReviewed", ModelConstants.DNET_REVIEW_LEVELS));
}
}
if (Objects.nonNull(i.getDateofacceptance())) {
Optional<String> date = cleanDateField(i.getDateofacceptance());
if (date.isPresent()) {

26
dhp-common/src/main/resources/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json
View File

@ -1,26 +0,0 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "i",
"paramLongName": "inputPath",
"paramDescription": "the source path",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",
"paramDescription": "path of the output graph",
"paramRequired": true
},
{
"paramName": "fi",
"paramLongName": "filterInvisible",
"paramDescription": "if true filters out invisible entities",
"paramRequired": true
}
]

16
dhp-common/src/main/resources/eu/dnetlib/dhp/oa/merge/group_graph_entities_parameters.json
View File

@ -8,13 +8,25 @@
{
"paramName": "gin",
"paramLongName": "graphInputPath",
"paramDescription": "the graph root path",
"paramDescription": "the input graph root path",
"paramRequired": true
},
{
"paramName": "cp",
"paramLongName": "checkpointPath",
"paramDescription": "checkpoint directory",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the output merged graph root path",
"paramDescription": "the output graph root path",
"paramRequired": true
},
{
"paramName": "fi",
"paramLongName": "filterInvisible",
"paramDescription": "if true filters out invisible entities",
"paramRequired": true
}
]

18
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/DiffPatchMatch.java
View File

@ -1,24 +1,6 @@
package eu.dnetlib.pace.util;
/*
* Diff Match and Patch
* Copyright 2018 The diff-match-patch Authors.
* https://github.com/google/diff-match-patch
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Diff Match and Patch
* Copyright 2018 The diff-match-patch Authors.

20
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/Constants.java
View File

@ -40,6 +40,7 @@ public class Constants {
public static final String SDG_CLASS_NAME = "Sustainable Development Goals";
public static final String NULL = "NULL";
public static final String NA = "N/A";
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@ -61,10 +62,16 @@ public class Constants {
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
public static Subject getSubject(String sbj, String classid, String classname,
String diqualifierclassid) {
if (sbj == null || sbj.equals(NULL))
public static Subject getSubject(String sbj, String classid, String classname, String diqualifierclassid,
Boolean split) {
if (sbj == null || sbj.equals(NULL) || sbj.startsWith(NA))
return null;
String trust = "";
String subject = sbj;
if (split) {
sbj = subject.split("@@")[0];
trust = subject.split("@@")[1];
}
Subject s = new Subject();
s.setValue(sbj);
s
@ -89,9 +96,14 @@ public class Constants {
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
""));
trust));
return s;
}
public static Subject getSubject(String sbj, String classid, String classname,
String diqualifierclassid) {
return getSubject(sbj, classid, classname, diqualifierclassid, false);
}

9
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/GetFOSSparkJob.java
View File

@ -75,9 +75,12 @@ public class GetFOSSparkJob implements Serializable {
fosData.map((MapFunction<Row, FOSDataModel>) r -> {
FOSDataModel fosDataModel = new FOSDataModel();
fosDataModel.setDoi(r.getString(0).toLowerCase());
fosDataModel.setLevel1(r.getString(1));
fosDataModel.setLevel2(r.getString(2));
fosDataModel.setLevel3(r.getString(3));
fosDataModel.setLevel1(r.getString(2));
fosDataModel.setLevel2(r.getString(3));
fosDataModel.setLevel3(r.getString(4));
fosDataModel.setLevel4(r.getString(5));
fosDataModel.setScoreL3(String.valueOf(r.getDouble(6)));
fosDataModel.setScoreL4(String.valueOf(r.getDouble(7)));
return fosDataModel;
}, Encoders.bean(FOSDataModel.class))
.write()

178
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareBipFinder.java
View File

@ -1,178 +0,0 @@
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.actionmanager.Constants.UPDATE_CLASS_NAME;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
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.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.bipmodel.BipScore;
import eu.dnetlib.dhp.actionmanager.bipmodel.score.deserializers.BipResultModel;
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.Instance;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Measure;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class PrepareBipFinder implements Serializable {
private static final Logger log = LoggerFactory.getLogger(PrepareBipFinder.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
PrepareBipFinder.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String sourcePath = parser.get("sourcePath");
log.info("sourcePath {}: ", sourcePath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}: ", outputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
prepareResults(spark, sourcePath, outputPath);
});
}
private static void prepareResults(SparkSession spark, String inputPath, String outputPath) {
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<BipResultModel> bipDeserializeJavaRDD = sc
.textFile(inputPath)
.map(item -> OBJECT_MAPPER.readValue(item, BipResultModel.class));
spark
.createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> {
BipScore bs = new BipScore();
bs.setId(key);
bs.setScoreList(entry.get(key));
return bs;
}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class))
.map((MapFunction<BipScore, Result>) v -> {
Result r = new Result();
final String cleanedPid = CleaningFunctions.normalizePidValue(DOI, v.getId());
r.setId(DHPUtils.generateUnresolvedIdentifier(v.getId(), DOI));
Instance inst = new Instance();
inst.setMeasures(getMeasure(v));
inst
.setPid(
Arrays
.asList(
OafMapperUtils
.structuredProperty(
cleanedPid,
OafMapperUtils
.qualifier(
DOI, DOI_CLASSNAME,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES),
null)));
r.setInstance(Arrays.asList(inst));
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/bip");
}
private static List<Measure> getMeasure(BipScore value) {
return value
.getScoreList()
.stream()
.map(score -> {
Measure m = new Measure();
m.setId(score.getId());
m
.setUnit(
score
.getUnit()
.stream()
.map(unit -> {
KeyValue kv = new KeyValue();
kv.setValue(unit.getValue());
kv.setKey(unit.getKey());
kv
.setDataInfo(
OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_MEASURE_BIP_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
""));
return kv;
})
.collect(Collectors.toList()));
return m;
})
.collect(Collectors.toList());
}
}

27
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareFOSSparkJob.java
View File

@ -78,12 +78,20 @@ public class PrepareFOSSparkJob implements Serializable {
HashSet<String> level1 = new HashSet<>();
HashSet<String> level2 = new HashSet<>();
HashSet<String> level3 = new HashSet<>();
addLevels(level1, level2, level3, first);
it.forEachRemaining(v -> addLevels(level1, level2, level3, v));
HashSet<String> level4 = new HashSet<>();
addLevels(level1, level2, level3, level4, first);
it.forEachRemaining(v -> addLevels(level1, level2, level3, level4, v));
List<Subject> sbjs = new ArrayList<>();
level1.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level2.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level3.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level1
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level2
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level3
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
level4
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
r.setSubject(sbjs);
r
.setDataInfo(
@ -106,11 +114,18 @@ public class PrepareFOSSparkJob implements Serializable {
.json(outputPath + "/fos");
}
private static void add(List<Subject> sbsjs, Subject sbj) {
if (sbj != null)
sbsjs.add(sbj);
}
private static void addLevels(HashSet<String> level1, HashSet<String> level2, HashSet<String> level3,
HashSet<String> level4,
FOSDataModel first) {
level1.add(first.getLevel1());
level2.add(first.getLevel2());
level3.add(first.getLevel3());
level3.add(first.getLevel3() + "@@" + first.getScoreL3());
level4.add(first.getLevel4() + "@@" + first.getScoreL4());
}
}

6
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/SparkSaveUnresolved.java
View File

@ -69,9 +69,9 @@ public class SparkSaveUnresolved implements Serializable {
.mapGroups((MapGroupsFunction<String, Result, Result>) (k, it) -> {
Result ret = it.next();
it.forEachRemaining(r -> {
if (r.getInstance() != null) {
ret.setInstance(r.getInstance());
}
// if (r.getInstance() != null) {
// ret.setInstance(r.getInstance());
// }
if (r.getSubject() != null) {
if (ret.getSubject() != null)
ret.getSubject().addAll(r.getSubject());

63
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/model/FOSDataModel.java
View File

@ -11,21 +11,43 @@ public class FOSDataModel implements Serializable {
private String doi;
@CsvBindByPosition(position = 1)
// @CsvBindByName(column = "doi")
private String oaid;
@CsvBindByPosition(position = 2)
// @CsvBindByName(column = "level1")
private String level1;
@CsvBindByPosition(position = 2)
@CsvBindByPosition(position = 3)
// @CsvBindByName(column = "level2")
private String level2;
@CsvBindByPosition(position = 3)
@CsvBindByPosition(position = 4)
// @CsvBindByName(column = "level3")
private String level3;
@CsvBindByPosition(position = 5)
// @CsvBindByName(column = "level3")
private String level4;
@CsvBindByPosition(position = 6)
private String scoreL3;
@CsvBindByPosition(position = 7)
private String scoreL4;
public FOSDataModel() {
}
public FOSDataModel(String doi, String level1, String level2, String level3, String level4, String l3score,
String l4score) {
this.doi = doi;
this.level1 = level1;
this.level2 = level2;
this.level3 = level3;
this.level4 = level4;
this.scoreL3 = l3score;
this.scoreL4 = l4score;
}
public FOSDataModel(String doi, String level1, String level2, String level3) {
this.doi = doi;
this.level1 = level1;
@ -33,8 +55,41 @@ public class FOSDataModel implements Serializable {
this.level3 = level3;
}
public static FOSDataModel newInstance(String d, String level1, String level2, String level3) {
return new FOSDataModel(d, level1, level2, level3);
public static FOSDataModel newInstance(String d, String level1, String level2, String level3, String level4,
String scorel3, String scorel4) {
return new FOSDataModel(d, level1, level2, level3, level4, scorel3, scorel4);
}
public String getOaid() {
return oaid;
}
public void setOaid(String oaid) {
this.oaid = oaid;
}
public String getLevel4() {
return level4;
}
public void setLevel4(String level4) {
this.level4 = level4;
}
public String getScoreL3() {
return scoreL3;
}
public void setScoreL3(String scoreL3) {
this.scoreL3 = scoreL3;
}
public String getScoreL4() {
return scoreL4;
}
public void setScoreL4(String scoreL4) {
this.scoreL4 = scoreL4;
}
public String getDoi() {

150
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/CreateActionSetSparkJob.java
View File

@ -10,8 +10,10 @@ import java.util.*;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
@ -26,19 +28,29 @@ import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
private static final String ID_PREFIX = "50|doi_________::";
// DOI-to-DOI citations
public static final String COCI = "COCI";
// PMID-to-PMID citations
public static final String POCI = "POCI";
private static final String DOI_PREFIX = "50|doi_________::";
private static final String PMID_PREFIX = "50|pmid________::";
private static final String TRUST = "0.91";
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(final String[] args) throws IOException, ParseException {
@ -62,7 +74,7 @@ public class CreateActionSetSparkJob implements Serializable {
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath.toString());
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
@ -76,41 +88,68 @@ public class CreateActionSetSparkJob implements Serializable {
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
extractContent(spark, inputPath, outputPath, shouldDuplicateRels);
});
spark -> extractContent(spark, inputPath, outputPath, shouldDuplicateRels));
}
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
boolean shouldDuplicateRels) {
spark
getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, COCI)
.union(getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, POCI))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath,
boolean shouldDuplicateRels, String prefix) {
return spark
.read()
.textFile(inputPath + "/*")
.textFile(inputPath + "/" + prefix + "/" + prefix + "_JSON/*")
.map(
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
Encoders.bean(COCI.class))
.flatMap(
(FlatMapFunction<COCI, Relation>) value -> createRelation(value, shouldDuplicateRels).iterator(),
(FlatMapFunction<COCI, Relation>) value -> createRelation(
value, shouldDuplicateRels, prefix)
.iterator(),
Encoders.bean(Relation.class))
.filter((FilterFunction<Relation>) value -> value != null)
.filter((FilterFunction<Relation>) Objects::nonNull)
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static List<Relation> createRelation(COCI value, boolean duplicate) {
private static List<Relation> createRelation(COCI value, boolean duplicate, String p) {
List<Relation> relationList = new ArrayList<>();
String prefix;
String citing;
String cited;
String citing = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCiting()));
final String cited = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCited()));
switch (p) {
case COCI:
prefix = DOI_PREFIX;
citing = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCiting()));
cited = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCited()));
break;
case POCI:
prefix = PMID_PREFIX;
citing = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
cited = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCited()));
break;
default:
throw new IllegalStateException("Invalid prefix: " + p);
}
if (!citing.equals(cited)) {
relationList
@ -120,7 +159,7 @@ public class CreateActionSetSparkJob implements Serializable {
cited, ModelConstants.CITES));
if (duplicate && value.getCiting().endsWith(".refs")) {
citing = ID_PREFIX + IdentifierFactory
citing = prefix + IdentifierFactory
.md5(
CleaningFunctions
.normalizePidValue(
@ -132,59 +171,30 @@ public class CreateActionSetSparkJob implements Serializable {
return relationList;
}
private static Collection<Relation> getRelations(String citing, String cited) {
return Arrays
.asList(
getRelation(citing, cited, ModelConstants.CITES),
getRelation(cited, citing, ModelConstants.IS_CITED_BY));
}
public static Relation getRelation(
String source,
String target,
String relclass) {
Relation r = new Relation();
r.setCollectedfrom(getCollectedFrom());
r.setSource(source);
r.setTarget(target);
r.setRelClass(relclass);
r.setRelType(ModelConstants.RESULT_RESULT);
r.setSubRelType(ModelConstants.CITATION);
r
.setDataInfo(
getDataInfo());
return r;
}
String relClass) {
public static List<KeyValue> getCollectedFrom() {
KeyValue kv = new KeyValue();
kv.setKey(ModelConstants.OPENOCITATIONS_ID);
kv.setValue(ModelConstants.OPENOCITATIONS_NAME);
return Arrays.asList(kv);
}
public static DataInfo getDataInfo() {
DataInfo di = new DataInfo();
di.setInferred(false);
di.setDeletedbyinference(false);
di.setTrust(TRUST);
di
.setProvenanceaction(
getQualifier(OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME, ModelConstants.DNET_PROVENANCE_ACTIONS));
return di;
}
public static Qualifier getQualifier(String class_id, String class_name,
String qualifierSchema) {
Qualifier pa = new Qualifier();
pa.setClassid(class_id);
pa.setClassname(class_name);
pa.setSchemeid(qualifierSchema);
pa.setSchemename(qualifierSchema);
return pa;
return OafMapperUtils
.getRelation(
source,
target,
ModelConstants.RESULT_RESULT,
ModelConstants.CITATION,
relClass,
Arrays
.asList(
OafMapperUtils.keyValue(ModelConstants.OPENOCITATIONS_ID, ModelConstants.OPENOCITATIONS_NAME)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
TRUST),
null);
}
}

19
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/GetOpenCitationsRefs.java
View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.actionmanager.opencitations;
import java.io.*;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Objects;
import java.util.zip.GZIPOutputStream;
import java.util.zip.ZipEntry;
@ -37,7 +38,7 @@ public class GetOpenCitationsRefs implements Serializable {
parser.parseArgument(args);
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", inputFile.toString());
log.info("inputFile {}", Arrays.asList(inputFile));
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
@ -45,6 +46,9 @@ public class GetOpenCitationsRefs implements Serializable {
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String prefix = parser.get("prefix");
log.info("prefix {}", prefix);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
@ -53,30 +57,31 @@ public class GetOpenCitationsRefs implements Serializable {
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
for (String file : inputFile) {
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem);
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem, prefix);
}
}
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem)
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem, String prefix)
throws IOException {
final Path path = new Path(inputFile);
FSDataInputStream oc_zip = fileSystem.open(path);
int count = 1;
// int count = 1;
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
if (!entry.isDirectory()) {
String fileName = entry.getName();
fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
count++;
// fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
fileName = fileName.substring(0, fileName.lastIndexOf("."));
// count++;
try (
FSDataOutputStream out = fileSystem
.create(new Path(workingPath + "/COCI/" + fileName + ".gz"));
.create(new Path(workingPath + "/" + prefix + "/" + fileName + ".gz"));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
IOUtils.copy(zis, gzipOs);

25
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/opencitations/ReadCOCI.java
View File

@ -7,6 +7,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
@ -42,13 +43,16 @@ public class ReadCOCI implements Serializable {
log.info("outputPath: {}", outputPath);
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", inputFile.toString());
log.info("inputFile {}", Arrays.asList(inputFile));
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
final String format = parser.get("format");
log.info("format {}", format);
SparkConf sconf = new SparkConf();
final String delimiter = Optional
@ -64,16 +68,17 @@ public class ReadCOCI implements Serializable {
workingPath,
inputFile,
outputPath,
delimiter);
delimiter,
format);
});
}
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
String outputPath,
String delimiter) throws IOException {
String delimiter, String format) {
for (String inputFile : inputFiles) {
String p_string = workingPath + "/" + inputFile + ".gz";
String pString = workingPath + "/" + inputFile + ".gz";
Dataset<Row> cociData = spark
.read()
@ -82,14 +87,20 @@ public class ReadCOCI implements Serializable {
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(p_string)
.load(pString)
.repartition(100);
cociData.map((MapFunction<Row, COCI>) row -> {
COCI coci = new COCI();
if (format.equals("COCI")) {
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
} else {
coci.setCiting(String.valueOf(row.getInt(1)));
coci.setCited(String.valueOf(row.getInt(2)));
}
coci.setOci(row.getString(0));
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
return coci;
}, Encoders.bean(COCI.class))
.write()

33
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/oozie_app/workflow.xml
View File

@ -5,11 +5,6 @@
<name>fosPath</name>
<description>the input path of the resources to be extended</description>
</property>
<property>
<name>bipScorePath</name>
<description>the path where to find the bipFinder scores</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
@ -77,35 +72,10 @@
<fork name="prepareInfo">
<path start="prepareBip"/>
<path start="getFOS"/>
<path start="getSDG"/>
</fork>
<action name="prepareBip">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the unresolved from BIP! Finder</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareBipFinder</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${bipScorePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
</spark>
<ok to="join"/>
<error to="Kill"/>
</action>
<action name="getFOS">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -125,6 +95,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${fosPath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
</spark>
<ok to="prepareFos"/>
<error to="Kill"/>
@ -213,7 +184,7 @@
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Saves the result produced for bip and fos by grouping results with the same id</name>
<name>Save the unresolved entities grouping results with the same id</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.SparkSaveUnresolved</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>

13
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/as_parameters.json
View File

@ -16,10 +16,11 @@
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}, {
"paramName": "sdr",
"paramLongName": "shouldDuplicateRels",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
},
{
"paramName": "sdr",
"paramLongName": "shouldDuplicateRels",
"paramDescription": "activates/deactivates the construction of bidirectional relations Cites/IsCitedBy",
"paramRequired": false
}
]

6
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/input_parameters.json
View File

@ -16,5 +16,11 @@
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "p",
"paramLongName": "prefix",
"paramDescription": "COCI or POCI",
"paramRequired": true
}
]

7
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/input_readcoci_parameters.json
View File

@ -30,7 +30,12 @@
"paramLongName": "inputFile",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
}, {
"paramName": "f",
"paramLongName": "format",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

14
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/oozie_app/workflow.xml
View File

@ -34,6 +34,7 @@
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
@ -46,7 +47,7 @@
</configuration>
<exec>download.sh</exec>
<argument>${filelist}</argument>
<argument>${workingPath}/Original</argument>
<argument>${workingPath}/${prefix}/Original</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
@ -54,12 +55,14 @@
<ok to="extract"/>
<error to="Kill"/>
</action>
<action name="extract">
<java>
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--inputFile</arg><arg>${inputFile}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}</arg>
<arg>--prefix</arg><arg>${prefix}</arg>
</java>
<ok to="read"/>
<error to="Kill"/>
@ -82,10 +85,11 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--workingPath</arg><arg>${workingPath}/COCI</arg>
<arg>--outputPath</arg><arg>${workingPath}/COCI_JSON/</arg>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}/${prefix}</arg>
<arg>--outputPath</arg><arg>${workingPath}/${prefix}/${prefix}_JSON/</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
<arg>--format</arg><arg>${prefix}</arg>
</spark>
<ok to="create_actionset"/>
<error to="Kill"/>
@ -108,7 +112,7 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}/COCI_JSON</arg>
<arg>--inputPath</arg><arg>${workingPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

39
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/GetFosTest.java
View File

@ -13,10 +13,7 @@ import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -68,6 +65,7 @@ public class GetFosTest {
}
@Test
@Disabled
void test3() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs.tsv")
@ -96,4 +94,37 @@ public class GetFosTest {
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
}
@Test
void test4() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs2.csv")
.getPath();
final String outputPath = workingDir.toString() + "/fos.json";
GetFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"--delimiter", ",",
"-outputPath", outputPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<FOSDataModel> tmp = sc
.textFile(outputPath)
.map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel4() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getScoreL3() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getScoreL4() != null));
}
}

209
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/PrepareTest.java
View File

@ -67,92 +67,6 @@ public class PrepareTest {
spark.stop();
}
@Test
void bipPrepareTest() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
.getPath();
PrepareBipFinder
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"--outputPath", workingDir.toString() + "/work"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/work/bip")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
Assertions.assertEquals(86, tmp.count());
String doi1 = "unresolved::10.0000/096020199389707::doi";
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).count());
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().size());
Assertions
.assertEquals(
3, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().get(0).getMeasures().size());
Assertions
.assertEquals(
"6.34596412687e-09", tmp
.filter(r -> r.getId().equals(doi1))
.collect()
.get(0)
.getInstance()
.get(0)
.getMeasures()
.stream()
.filter(sl -> sl.getId().equals("influence"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0.641151896994", tmp
.filter(r -> r.getId().equals(doi1))
.collect()
.get(0)
.getInstance()
.get(0)
.getMeasures()
.stream()
.filter(sl -> sl.getId().equals("popularity_alt"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"2.33375102921e-09", tmp
.filter(r -> r.getId().equals(doi1))
.collect()
.get(0)
.getInstance()
.get(0)
.getMeasures()
.stream()
.filter(sl -> sl.getId().equals("popularity"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
final String doi2 = "unresolved::10.3390/s18072310::doi";
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).count());
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).collect().get(0).getInstance().size());
}
@Test
void fosPrepareTest() throws Exception {
final String sourcePath = getClass()
@ -222,6 +136,76 @@ public class PrepareTest {
}
@Test
void fosPrepareTest2() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs_2.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-outputPath", workingDir.toString() + "/work"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/work/fos")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
String doi1 = "unresolved::10.1016/j.revmed.2006.07.012::doi";
assertEquals(13, tmp.count());
assertEquals(1, tmp.filter(row -> row.getId().equals(doi1)).count());
Result result = tmp
.filter(r -> r.getId().equals(doi1))
.first();
result.getSubject().forEach(s -> System.out.println(s.getValue() + " trust = " + s.getDataInfo().getTrust()));
Assertions.assertEquals(6, result.getSubject().size());
assertTrue(
result
.getSubject()
.stream()
.anyMatch(
s -> s.getValue().contains("03 medical and health sciences")
&& s.getDataInfo().getTrust().equals("")));
assertTrue(
result
.getSubject()
.stream()
.anyMatch(
s -> s.getValue().contains("0302 clinical medicine") && s.getDataInfo().getTrust().equals("")));
assertTrue(
result
.getSubject()
.stream()
.anyMatch(
s -> s
.getValue()
.contains("030204 cardiovascular system & hematology")
&& s.getDataInfo().getTrust().equals("0.5101401805877686")));
assertTrue(
result
.getSubject()
.stream()
.anyMatch(
s -> s
.getValue()
.contains("03020409 Hematology/Coagulopathies")
&& s.getDataInfo().getTrust().equals("0.0546871414174914")));
}
@Test
void sdgPrepareTest() throws Exception {
final String sourcePath = getClass()
@ -268,57 +252,4 @@ public class PrepareTest {
}
// @Test
// void test3() throws Exception {
// final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_fos_results_20_12_2021.csv.gz";
//
// final String outputPath = workingDir.toString() + "/fos.json";
// GetFOSSparkJob
// .main(
// new String[] {
// "--isSparkSessionManaged", Boolean.FALSE.toString(),
// "--sourcePath", sourcePath,
//
// "-outputPath", outputPath
//
// });
//
// final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
//
// JavaRDD<FOSDataModel> tmp = sc
// .textFile(outputPath)
// .map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
//
// tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
//
// }
//
// @Test
// void test4() throws Exception {
// final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_sdg_results_20_12_21.csv.gz";
//
// final String outputPath = workingDir.toString() + "/sdg.json";
// GetSDGSparkJob
// .main(
// new String[] {
// "--isSparkSessionManaged", Boolean.FALSE.toString(),
// "--sourcePath", sourcePath,
//
// "-outputPath", outputPath
//
// });
//
// final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
//
// JavaRDD<SDGDataModel> tmp = sc
// .textFile(outputPath)
// .map(item -> OBJECT_MAPPER.readValue(item, SDGDataModel.class));
//
// tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
// tmp.foreach(t -> Assertions.assertTrue(t.getSbj() != null));
//
// }
}

64
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/createunresolvedentities/ProduceTest.java
View File

@ -340,18 +340,7 @@ public class ProduceTest {
}
private JavaRDD<Result> getResultJavaRDD() throws Exception {
final String bipPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
.getPath();
PrepareBipFinder
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", bipPath,
"--outputPath", workingDir.toString() + "/work"
});
final String fosPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
.getPath();
@ -379,6 +368,40 @@ public class ProduceTest {
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
}
@Test
public JavaRDD<Result> getResultFosJavaRDD() throws Exception {
final String fosPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs_2.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", fosPath,
"-outputPath", workingDir.toString() + "/work"
});
SparkSaveUnresolved.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", workingDir.toString() + "/work",
"-outputPath", workingDir.toString() + "/unresolved"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/unresolved")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
tmp.foreach(r -> System.out.println(new ObjectMapper().writeValueAsString(r)));
return tmp;
}
@Test
void prepareTest5Subjects() throws Exception {
final String doi = "unresolved::10.1063/5.0032658::doi";
@ -415,18 +438,7 @@ public class ProduceTest {
}
private JavaRDD<Result> getResultJavaRDDPlusSDG() throws Exception {
final String bipPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
.getPath();
PrepareBipFinder
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", bipPath,
"--outputPath", workingDir.toString() + "/work"
});
final String fosPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
.getPath();
@ -483,14 +495,6 @@ public class ProduceTest {
.filter(row -> row.getSubject() != null)
.count());
Assertions
.assertEquals(
85,
tmp
.filter(row -> !row.getId().equals(doi))
.filter(r -> r.getInstance() != null && r.getInstance().size() > 0)
.count());
}
@Test

26
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs2.csv Normal file
View File

@ -0,0 +1,26 @@
DOI,OAID,level1,level2,level3,level4,score_for_L3,score_for_L4
10.1016/j.anucene.2006.02.004,doi_________::00059d9963edf633bec756fb21b5bd72,02 engineering and technology,"0202 electrical engineering, electronic engineering, information engineering",020209 energy,02020908 Climate change policy/Ethanol fuel,0.5,0.5
10.1016/j.anucene.2006.02.004,doi_________::00059d9963edf633bec756fb21b5bd72,02 engineering and technology,0211 other engineering and technologies,021108 energy,02110808 Climate change policy/Ethanol fuel,0.5,0.5
10.1016/j.revmed.2006.07.010,doi_________::0026476c1651a92c933d752ff12496c7,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,N/A,0.5036656856536865,0.0
10.1016/j.revmed.2006.07.010,doi_________::0026476c1651a92c933d752ff12496c7,03 medical and health sciences,0302 clinical medicine,030212 general & internal medicine,N/A,0.4963343143463135,0.0
10.20965/jrm.2006.p0312,doi_________::0028336a2f3826cc83c47dbefac71543,02 engineering and technology,0209 industrial biotechnology,020901 industrial engineering & automation,02090104 Robotics/Robots,0.6111094951629639,0.5053805979936855
10.20965/jrm.2006.p0312,doi_________::0028336a2f3826cc83c47dbefac71543,01 natural sciences,0104 chemical sciences,010401 analytical chemistry,N/A,0.3888905048370361,0.0
10.1111/j.1747-7379.2006.040_1.x,doi_________::002c7077e7c114a8304eb90f59e45fa4,05 social sciences,0506 political science,050602 political science & public administration,05060202 Ethnic groups/Ethnicity,0.6159052848815918,0.7369035568037298
10.1111/j.1747-7379.2006.040_1.x,doi_________::002c7077e7c114a8304eb90f59e45fa4,05 social sciences,0502 economics and business,050207 economics,N/A,0.3840946555137634,0.0
10.1007/s10512-006-0049-9,doi_________::003f29f9254819cf4c78558b1bc25f10,02 engineering and technology,"0202 electrical engineering, electronic engineering, information engineering",020209 energy,02020908 Climate change policy/Ethanol fuel,0.5,0.5
10.1007/s10512-006-0049-9,doi_________::003f29f9254819cf4c78558b1bc25f10,02 engineering and technology,0211 other engineering and technologies,021108 energy,02110808 Climate change policy/Ethanol fuel,0.5,0.5
10.1111/j.1365-2621.2005.01045.x,doi_________::00419355b4c3e0646bd0e1b301164c8e,04 agricultural and veterinary sciences,0404 agricultural biotechnology,040401 food science,04040102 Food science/Food industry,0.5,0.5
10.1111/j.1365-2621.2005.01045.x,doi_________::00419355b4c3e0646bd0e1b301164c8e,04 agricultural and veterinary sciences,0405 other agricultural sciences,040502 food science,04050202 Food science/Food industry,0.5,0.5
10.1002/chin.200617262,doi_________::004c8cef80668904961b9e62841793c8,01 natural sciences,0104 chemical sciences,010405 organic chemistry,01040508 Functional groups/Ethers,0.5566747188568115,0.5582916736602783
10.1002/chin.200617262,doi_________::004c8cef80668904961b9e62841793c8,01 natural sciences,0104 chemical sciences,010402 general chemistry,01040207 Chemical synthesis/Total synthesis,0.4433253407478332,0.4417082965373993
10.1016/j.revmed.2006.07.012,doi_________::005b1d0fb650b680abaf6cfe26a21604,03 medical and health sciences,0302 clinical medicine,030204 cardiovascular system & hematology,03020409 Hematology/Coagulopathies,0.5101401805877686,0.0546871414174914
10.1016/j.revmed.2006.07.012,doi_________::005b1d0fb650b680abaf6cfe26a21604,03 medical and health sciences,0301 basic medicine,030105 genetics & heredity,N/A,0.4898599088191986,0.0
10.4109/jslab.17.132,doi_________::00889baa06de363e37930daaf8e800c0,03 medical and health sciences,0301 basic medicine,030104 developmental biology,N/A,0.5,0.0
10.4109/jslab.17.132,doi_________::00889baa06de363e37930daaf8e800c0,03 medical and health sciences,0303 health sciences,030304 developmental biology,N/A,0.5,0.0
10.1108/00251740610715687,doi_________::0092cb1b1920d556719385a26363ecaa,05 social sciences,0502 economics and business,050203 business & management,05020311 International business/International trade,0.605047881603241,0.2156608108845153
10.1108/00251740610715687,doi_________::0092cb1b1920d556719385a26363ecaa,05 social sciences,0502 economics and business,050211 marketing,N/A,0.394952118396759,0.0
10.1080/03067310500248098,doi_________::00a76678d230e3f20b6356804448028f,04 agricultural and veterinary sciences,0404 agricultural biotechnology,040401 food science,04040102 Food science/Food industry,0.5,0.5
10.1080/03067310500248098,doi_________::00a76678d230e3f20b6356804448028f,04 agricultural and veterinary sciences,0405 other agricultural sciences,040502 food science,04050202 Food science/Food industry,0.5,0.5
10.3152/147154306781778533,doi_________::00acc520f3939e5a6675343881fed4f2,05 social sciences,0502 economics and business,050203 business & management,05020307 Innovation/Product management,0.5293408632278442,0.5326762795448303
10.3152/147154306781778533,doi_________::00acc520f3939e5a6675343881fed4f2,05 social sciences,0509 other social sciences,050905 science studies,05090502 Social philosophy/Capitalism,0.4706590473651886,0.4673237204551697
10.1785/0120050806,doi_________::00d5831d329e7ae4523d78bfc3042e98,02 engineering and technology,0211 other engineering and technologies,021101 geological & geomatics engineering,02110103 Concrete/Building materials,0.5343400835990906,0.3285667930180677
1 DOI OAID level1 level2 level3 level4 score_for_L3 score_for_L4
2 10.1016/j.anucene.2006.02.004 doi_________::00059d9963edf633bec756fb21b5bd72 02 engineering and technology 0202 electrical engineering, electronic engineering, information engineering 020209 energy 02020908 Climate change policy/Ethanol fuel 0.5 0.5
3 10.1016/j.anucene.2006.02.004 doi_________::00059d9963edf633bec756fb21b5bd72 02 engineering and technology 0211 other engineering and technologies 021108 energy 02110808 Climate change policy/Ethanol fuel 0.5 0.5
4 10.1016/j.revmed.2006.07.010 doi_________::0026476c1651a92c933d752ff12496c7 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis N/A 0.5036656856536865 0.0
5 10.1016/j.revmed.2006.07.010 doi_________::0026476c1651a92c933d752ff12496c7 03 medical and health sciences 0302 clinical medicine 030212 general & internal medicine N/A 0.4963343143463135 0.0
6 10.20965/jrm.2006.p0312 doi_________::0028336a2f3826cc83c47dbefac71543 02 engineering and technology 0209 industrial biotechnology 020901 industrial engineering & automation 02090104 Robotics/Robots 0.6111094951629639 0.5053805979936855
7 10.20965/jrm.2006.p0312 doi_________::0028336a2f3826cc83c47dbefac71543 01 natural sciences 0104 chemical sciences 010401 analytical chemistry N/A 0.3888905048370361 0.0
8 10.1111/j.1747-7379.2006.040_1.x doi_________::002c7077e7c114a8304eb90f59e45fa4 05 social sciences 0506 political science 050602 political science & public administration 05060202 Ethnic groups/Ethnicity 0.6159052848815918 0.7369035568037298
9 10.1111/j.1747-7379.2006.040_1.x doi_________::002c7077e7c114a8304eb90f59e45fa4 05 social sciences 0502 economics and business 050207 economics N/A 0.3840946555137634 0.0
10 10.1007/s10512-006-0049-9 doi_________::003f29f9254819cf4c78558b1bc25f10 02 engineering and technology 0202 electrical engineering, electronic engineering, information engineering 020209 energy 02020908 Climate change policy/Ethanol fuel 0.5 0.5
11 10.1007/s10512-006-0049-9 doi_________::003f29f9254819cf4c78558b1bc25f10 02 engineering and technology 0211 other engineering and technologies 021108 energy 02110808 Climate change policy/Ethanol fuel 0.5 0.5
12 10.1111/j.1365-2621.2005.01045.x doi_________::00419355b4c3e0646bd0e1b301164c8e 04 agricultural and veterinary sciences 0404 agricultural biotechnology 040401 food science 04040102 Food science/Food industry 0.5 0.5
13 10.1111/j.1365-2621.2005.01045.x doi_________::00419355b4c3e0646bd0e1b301164c8e 04 agricultural and veterinary sciences 0405 other agricultural sciences 040502 food science 04050202 Food science/Food industry 0.5 0.5
14 10.1002/chin.200617262 doi_________::004c8cef80668904961b9e62841793c8 01 natural sciences 0104 chemical sciences 010405 organic chemistry 01040508 Functional groups/Ethers 0.5566747188568115 0.5582916736602783
15 10.1002/chin.200617262 doi_________::004c8cef80668904961b9e62841793c8 01 natural sciences 0104 chemical sciences 010402 general chemistry 01040207 Chemical synthesis/Total synthesis 0.4433253407478332 0.4417082965373993
16 10.1016/j.revmed.2006.07.012 doi_________::005b1d0fb650b680abaf6cfe26a21604 03 medical and health sciences 0302 clinical medicine 030204 cardiovascular system & hematology 03020409 Hematology/Coagulopathies 0.5101401805877686 0.0546871414174914
17 10.1016/j.revmed.2006.07.012 doi_________::005b1d0fb650b680abaf6cfe26a21604 03 medical and health sciences 0301 basic medicine 030105 genetics & heredity N/A 0.4898599088191986 0.0
18 10.4109/jslab.17.132 doi_________::00889baa06de363e37930daaf8e800c0 03 medical and health sciences 0301 basic medicine 030104 developmental biology N/A 0.5 0.0
19 10.4109/jslab.17.132 doi_________::00889baa06de363e37930daaf8e800c0 03 medical and health sciences 0303 health sciences 030304 developmental biology N/A 0.5 0.0
20 10.1108/00251740610715687 doi_________::0092cb1b1920d556719385a26363ecaa 05 social sciences 0502 economics and business 050203 business & management 05020311 International business/International trade 0.605047881603241 0.2156608108845153
21 10.1108/00251740610715687 doi_________::0092cb1b1920d556719385a26363ecaa 05 social sciences 0502 economics and business 050211 marketing N/A 0.394952118396759 0.0
22 10.1080/03067310500248098 doi_________::00a76678d230e3f20b6356804448028f 04 agricultural and veterinary sciences 0404 agricultural biotechnology 040401 food science 04040102 Food science/Food industry 0.5 0.5
23 10.1080/03067310500248098 doi_________::00a76678d230e3f20b6356804448028f 04 agricultural and veterinary sciences 0405 other agricultural sciences 040502 food science 04050202 Food science/Food industry 0.5 0.5
24 10.3152/147154306781778533 doi_________::00acc520f3939e5a6675343881fed4f2 05 social sciences 0502 economics and business 050203 business & management 05020307 Innovation/Product management 0.5293408632278442 0.5326762795448303
25 10.3152/147154306781778533 doi_________::00acc520f3939e5a6675343881fed4f2 05 social sciences 0509 other social sciences 050905 science studies 05090502 Social philosophy/Capitalism 0.4706590473651886 0.4673237204551697
26 10.1785/0120050806 doi_________::00d5831d329e7ae4523d78bfc3042e98 02 engineering and technology 0211 other engineering and technologies 021101 geological & geomatics engineering 02110103 Concrete/Building materials 0.5343400835990906 0.3285667930180677

25
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs_2.json Normal file
View File

@ -0,0 +1,25 @@
{"doi":"10.1016/j.anucene.2006.02.004","level1":"02 engineering and technology","level2":"0202 electrical engineering, electronic engineering, information engineering","level3":"020209 energy","level4":"02020908 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1016/j.anucene.2006.02.004","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021108 energy","level4":"02110808 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1016/j.revmed.2006.07.010","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis","level4":"N/A","scoreL3":"0.5036656856536865","scoreL4":"0.0"}
{"doi":"10.1016/j.revmed.2006.07.010","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030212 general & internal medicine","level4":"N/A","scoreL3":"0.4963343143463135","scoreL4":"0.0"}
{"doi":"10.20965/jrm.2006.p0312","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation","level4":"02090104 Robotics/Robots","scoreL3":"0.6111094951629639","scoreL4":"0.5053805979936855"}
{"doi":"10.20965/jrm.2006.p0312","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010401 analytical chemistry","level4":"N/A","scoreL3":"0.3888905048370361","scoreL4":"0.0"}
{"doi":"10.1111/j.1747-7379.2006.040_1.x","level1":"05 social sciences","level2":"0506 political science","level3":"050602 political science & public administration","level4":"05060202 Ethnic groups/Ethnicity","scoreL3":"0.6159052848815918","scoreL4":"0.7369035568037298"}
{"doi":"10.1111/j.1747-7379.2006.040_1.x","level1":"05 social sciences","level2":"0502 economics and business","level3":"050207 economics","level4":"N/A","scoreL3":"0.3840946555137634","scoreL4":"0.0"}
{"doi":"10.1007/s10512-006-0049-9","level1":"02 engineering and technology","level2":"0202 electrical engineering, electronic engineering, information engineering","level3":"020209 energy","level4":"02020908 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1007/s10512-006-0049-9","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021108 energy","level4":"02110808 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1111/j.1365-2621.2005.01045.x","level1":"04 agricultural and veterinary sciences","level2":"0404 agricultural biotechnology","level3":"040401 food science","level4":"04040102 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1111/j.1365-2621.2005.01045.x","level1":"04 agricultural and veterinary sciences","level2":"0405 other agricultural sciences","level3":"040502 food science","level4":"04050202 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1002/chin.200617262","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010405 organic chemistry","level4":"01040508 Functional groups/Ethers","scoreL3":"0.5566747188568115","scoreL4":"0.5582916736602783"}
{"doi":"10.1002/chin.200617262","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010402 general chemistry","level4":"01040207 Chemical synthesis/Total synthesis","scoreL3":"0.4433253407478332","scoreL4":"0.4417082965373993"}
{"doi":"10.1016/j.revmed.2006.07.012","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030204 cardiovascular system & hematology","level4":"03020409 Hematology/Coagulopathies","scoreL3":"0.5101401805877686","scoreL4":"0.0546871414174914"}
{"doi":"10.1016/j.revmed.2006.07.012","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030105 genetics & heredity","level4":"N/A","scoreL3":"0.4898599088191986","scoreL4":"0.0"}
{"doi":"10.4109/jslab.17.132","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030104 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
{"doi":"10.4109/jslab.17.132","level1":"03 medical and health sciences","level2":"0303 health sciences","level3":"030304 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
{"doi":"10.1108/00251740610715687","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management","level4":"05020311 International business/International trade","scoreL3":"0.605047881603241","scoreL4":"0.2156608108845153"}
{"doi":"10.1108/00251740610715687","level1":"05 social sciences","level2":"0502 economics and business","level3":"050211 marketing","level4":"N/A","scoreL3":"0.394952118396759","scoreL4":"0.0"}
{"doi":"10.1080/03067310500248098","level1":"04 agricultural and veterinary sciences","level2":"0404 agricultural biotechnology","level3":"040401 food science","level4":"04040102 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.1080/03067310500248098","level1":"04 agricultural and veterinary sciences","level2":"0405 other agricultural sciences","level3":"040502 food science","level4":"04050202 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
{"doi":"10.3152/147154306781778533","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management","level4":"05020307 Innovation/Product management","scoreL3":"0.5293408632278442","scoreL4":"0.5326762795448303"}
{"doi":"10.3152/147154306781778533","level1":"05 social sciences","level2":"0509 other social sciences","level3":"050905 science studies","level4":"05090502 Social philosophy/Capitalism","scoreL3":"0.4706590473651886","scoreL4":"0.4673237204551697"}
{"doi":"10.1785/0120050806","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021101 geological & geomatics engineering","level4":"02110103 Concrete/Building materials","scoreL3":"0.5343400835990906","scoreL4":"0.3285667930180677"}

57
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/RelationAggregator.java
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@ -1,57 +0,0 @@
package eu.dnetlib.dhp.oa.dedup;
import java.util.Objects;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.expressions.Aggregator;
import eu.dnetlib.dhp.schema.oaf.Relation;
public class RelationAggregator extends Aggregator<Relation, Relation, Relation> {
private static final Relation ZERO = new Relation();
@Override
public Relation zero() {
return ZERO;
}
@Override
public Relation reduce(Relation b, Relation a) {
return mergeRel(b, a);
}
@Override
public Relation merge(Relation b, Relation a) {
return mergeRel(b, a);
}
@Override
public Relation finish(Relation r) {
return r;
}
private Relation mergeRel(Relation b, Relation a) {
if (Objects.equals(b, ZERO)) {
return a;
}
if (Objects.equals(a, ZERO)) {
return b;
}
b.mergeFrom(a);
return b;
}
@Override
public Encoder<Relation> bufferEncoder() {
return Encoders.kryo(Relation.class);
}
@Override
public Encoder<Relation> outputEncoder() {
return Encoders.kryo(Relation.class);
}
}

78
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCleanRelation.scala
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@ -1,78 +0,0 @@
package eu.dnetlib.dhp.oa.dedup
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.common.HdfsSupport
import eu.dnetlib.dhp.schema.oaf.Relation
import eu.dnetlib.dhp.utils.ISLookupClientFactory
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService
import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql._
import org.apache.spark.sql.functions.col
import org.apache.spark.sql.types.{DataTypes, StructField, StructType}
import org.slf4j.LoggerFactory
object SparkCleanRelation {
private val log = LoggerFactory.getLogger(classOf[SparkCleanRelation])
@throws[Exception]
def main(args: Array[String]): Unit = {
val parser = new ArgumentApplicationParser(
IOUtils.toString(
classOf[SparkCleanRelation].getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json")
)
)
parser.parseArgument(args)
val conf = new SparkConf
new SparkCleanRelation(parser, AbstractSparkAction.getSparkSession(conf))
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")))
}
}
class SparkCleanRelation(parser: ArgumentApplicationParser, spark: SparkSession)
extends AbstractSparkAction(parser, spark) {
override def run(isLookUpService: ISLookUpService): Unit = {
val graphBasePath = parser.get("graphBasePath")
val inputPath = parser.get("inputPath")
val outputPath = parser.get("outputPath")
SparkCleanRelation.log.info("graphBasePath: '{}'", graphBasePath)
SparkCleanRelation.log.info("inputPath: '{}'", inputPath)
SparkCleanRelation.log.info("outputPath: '{}'", outputPath)
AbstractSparkAction.removeOutputDir(spark, outputPath)
val entities =
Seq("datasource", "project", "organization", "publication", "dataset", "software", "otherresearchproduct")
val idsSchema = StructType.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>")
val emptyIds = spark.createDataFrame(spark.sparkContext.emptyRDD[Row].setName("empty"),
idsSchema)
val ids = entities
.foldLeft(emptyIds)((ds, entity) => {
val entityPath = graphBasePath + '/' + entity
if (HdfsSupport.exists(entityPath, spark.sparkContext.hadoopConfiguration)) {
ds.union(spark.read.schema(idsSchema).json(entityPath))
} else {
ds
}
})
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
.select("id")
.distinct()
val relations = spark.read.schema(Encoders.bean(classOf[Relation]).schema).json(inputPath)
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
AbstractSparkAction.save(
relations
.join(ids, col("source") === ids("id"), "leftsemi")
.join(ids, col("target") === ids("id"), "leftsemi"),
outputPath,
SaveMode.Overwrite
)
}
}

10
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyOpenorgsMergeRels.java
View File

@ -7,6 +7,7 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
@ -77,13 +78,12 @@ public class SparkCopyOpenorgsMergeRels extends AbstractSparkAction {
log.info("Number of Openorgs Merge Relations collected: {}", mergeRelsRDD.count());
spark
final Dataset<Relation> relations = spark
.createDataset(
mergeRelsRDD.rdd(),
Encoders.bean(Relation.class))
.write()
.mode(SaveMode.Append)
.parquet(outputPath);
Encoders.bean(Relation.class));
saveParquet(relations, outputPath, SaveMode.Append);
}
private boolean isMergeRel(Relation rel) {

7
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCopyRelationsNoOpenorgs.java
View File

@ -67,12 +67,7 @@ public class SparkCopyRelationsNoOpenorgs extends AbstractSparkAction {
log.debug("Number of non-Openorgs relations collected: {}", simRels.count());
}
spark
.createDataset(simRels.rdd(), Encoders.bean(Relation.class))
.write()
.mode(SaveMode.Overwrite)
.json(outputPath);
save(spark.createDataset(simRels.rdd(), Encoders.bean(Relation.class)), outputPath, SaveMode.Overwrite);
}
}

2
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateMergeRels.java
View File

@ -155,7 +155,7 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
(FlatMapFunction<ConnectedComponent, Relation>) cc -> ccToMergeRel(cc, dedupConf),
Encoders.bean(Relation.class));
mergeRels.write().mode(SaveMode.Overwrite).parquet(mergeRelPath);
saveParquet(mergeRels, mergeRelPath, SaveMode.Overwrite);
}
}

6
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateOrgsDedupRecord.java
View File

@ -72,11 +72,7 @@ public class SparkCreateOrgsDedupRecord extends AbstractSparkAction {
final String mergeRelsPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, "organization");
rootOrganization(spark, entityPath, mergeRelsPath)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
save(rootOrganization(spark, entityPath, mergeRelsPath), outputPath, SaveMode.Overwrite);
}

2
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateSimRels.java
View File

@ -82,8 +82,6 @@ public class SparkCreateSimRels extends AbstractSparkAction {
final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
removeOutputDir(spark, outputPath);
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
SparkDeduper deduper = new SparkDeduper(dedupConf);
Dataset<?> simRels = spark

120
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkPropagateRelation.java
View File

@ -3,23 +3,19 @@ package eu.dnetlib.dhp.oa.dedup;
import static org.apache.spark.sql.functions.col;
import java.util.Arrays;
import java.util.Collections;
import java.util.Iterator;
import java.util.Objects;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
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.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
import org.apache.spark.sql.types.StructType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
@ -70,73 +66,63 @@ public class SparkPropagateRelation extends AbstractSparkAction {
log.info("workingPath: '{}'", workingPath);
log.info("graphOutputPath: '{}'", graphOutputPath);
final String outputRelationPath = DedupUtility.createEntityPath(graphOutputPath, "relation");
removeOutputDir(spark, outputRelationPath);
Dataset<Relation> mergeRels = spark
.read()
.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
.as(REL_BEAN_ENC);
// <mergedObjectID, dedupID>
Dataset<Row> mergedIds = mergeRels
Dataset<Row> idsToMerge = mergeRels
.where(col("relClass").equalTo(ModelConstants.MERGES))
.select(col("source").as("dedupID"), col("target").as("mergedObjectID"))
.distinct()
.cache();
.distinct();
Dataset<Row> allRels = spark
.read()
.schema(REL_BEAN_ENC.schema())
.json(DedupUtility.createEntityPath(graphBasePath, "relation"));
.json(graphBasePath + "/relation");
Dataset<Relation> dedupedRels = allRels
.joinWith(mergedIds, allRels.col("source").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
.joinWith(mergedIds, col("_1.target").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
.joinWith(idsToMerge, allRels.col("source").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
.joinWith(idsToMerge, col("_1.target").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
.select("_1._1", "_1._2.dedupID", "_2.dedupID")
.as(Encoders.tuple(REL_BEAN_ENC, Encoders.STRING(), Encoders.STRING()))
.flatMap(SparkPropagateRelation::addInferredRelations, REL_KRYO_ENC);
.map((MapFunction<Tuple3<Relation, String, String>, Relation>) t -> {
Relation rel = t._1();
String newSource = t._2();
String newTarget = t._3();
Dataset<Relation> processedRelations = distinctRelations(
dedupedRels.union(mergeRels.map((MapFunction<Relation, Relation>) r -> r, REL_KRYO_ENC)))
.filter((FilterFunction<Relation>) r -> !Objects.equals(r.getSource(), r.getTarget()));
if (rel.getDataInfo() == null) {
rel.setDataInfo(new DataInfo());
}
save(processedRelations, outputRelationPath, SaveMode.Overwrite);
}
if (newSource != null || newTarget != null) {
rel.getDataInfo().setDeletedbyinference(false);
private static Iterator<Relation> addInferredRelations(Tuple3<Relation, String, String> t) throws Exception {
Relation existingRel = t._1();
String newSource = t._2();
String newTarget = t._3();
if (newSource != null)
rel.setSource(newSource);
if (newSource == null && newTarget == null) {
return Collections.singleton(t._1()).iterator();
}
if (newTarget != null)
rel.setTarget(newTarget);
}
// update existing relation
if (existingRel.getDataInfo() == null) {
existingRel.setDataInfo(new DataInfo());
}
existingRel.getDataInfo().setDeletedbyinference(true);
return rel;
}, REL_BEAN_ENC);
// Create new relation inferred by dedupIDs
Relation inferredRel = (Relation) BeanUtils.cloneBean(existingRel);
// ids of records that are both not deletedbyinference and not invisible
Dataset<Row> ids = validIds(spark, graphBasePath);
inferredRel.setDataInfo((DataInfo) BeanUtils.cloneBean(existingRel.getDataInfo()));
inferredRel.getDataInfo().setDeletedbyinference(false);
// filter relations that point to valid records, can force them to be visible
Dataset<Relation> cleanedRels = dedupedRels
.join(ids, col("source").equalTo(ids.col("id")), "leftsemi")
.join(ids, col("target").equalTo(ids.col("id")), "leftsemi")
.as(REL_BEAN_ENC)
.map((MapFunction<Relation, Relation>) r -> {
r.getDataInfo().setInvisible(false);
return r;
}, REL_KRYO_ENC);
if (newSource != null)
inferredRel.setSource(newSource);
if (newTarget != null)
inferredRel.setTarget(newTarget);
return Arrays.asList(existingRel, inferredRel).iterator();
}
private Dataset<Relation> distinctRelations(Dataset<Relation> rels) {
return rels
.filter(getRelationFilterFunction())
Dataset<Relation> distinctRels = cleanedRels
.groupByKey(
(MapFunction<Relation, String>) r -> String
.join(" ", r.getSource(), r.getTarget(), r.getRelType(), r.getSubRelType(), r.getRelClass()),
@ -146,13 +132,33 @@ public class SparkPropagateRelation extends AbstractSparkAction {
return b;
})
.map((MapFunction<Tuple2<String, Relation>, Relation>) Tuple2::_2, REL_BEAN_ENC);
final String outputRelationPath = graphOutputPath + "/relation";
removeOutputDir(spark, outputRelationPath);
save(
distinctRels
.union(mergeRels)
.filter("source != target AND dataInfo.deletedbyinference != true AND dataInfo.invisible != true"),
outputRelationPath,
SaveMode.Overwrite);
}
private FilterFunction<Relation> getRelationFilterFunction() {
return r -> StringUtils.isNotBlank(r.getSource()) ||
StringUtils.isNotBlank(r.getTarget()) ||
StringUtils.isNotBlank(r.getRelType()) ||
StringUtils.isNotBlank(r.getSubRelType()) ||
StringUtils.isNotBlank(r.getRelClass());
static Dataset<Row> validIds(SparkSession spark, String graphBasePath) {
StructType idsSchema = StructType
.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>");
Dataset<Row> allIds = spark.emptyDataset(RowEncoder.apply(idsSchema));
for (EntityType entityType : ModelSupport.entityTypes.keySet()) {
String entityPath = graphBasePath + '/' + entityType.name();
if (HdfsSupport.exists(entityPath, spark.sparkContext().hadoopConfiguration())) {
allIds = allIds.union(spark.read().schema(idsSchema).json(entityPath));
}
}
return allIds
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
.select("id")
.distinct();
}
}

2
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkWhitelistSimRels.java
View File

@ -67,8 +67,6 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
log.info("workingPath: '{}'", workingPath);
log.info("whiteListPath: '{}'", whiteListPath);
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// file format: source####target
Dataset<Row> whiteListRels = spark
.read()

20
dhp-workflows/dhp-dedup-openaire/src/main/resources/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json
View File

@ -1,20 +0,0 @@
[
{
"paramName": "i",
"paramLongName": "graphBasePath",
"paramDescription": "the base path of raw graph",
"paramRequired": true
},
{
"paramName": "w",
"paramLongName": "inputPath",
"paramDescription": "the path to the input relation to cleanup",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",
"paramDescription": "the path of the output relation cleaned",
"paramRequired": true
}
]

54
dhp-workflows/dhp-dedup-openaire/src/main/resources/eu/dnetlib/dhp/oa/dedup/consistency/oozie_app/workflow.xml
View File

@ -100,35 +100,9 @@
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
<arg>--graphOutputPath</arg><arg>${workingPath}/propagaterelation/</arg>
<arg>--graphOutputPath</arg><arg>${graphOutputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
</spark>
<ok to="CleanRelation"/>
<error to="Kill"/>
</action>
<action name="CleanRelation">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean Relations</name>
<class>eu.dnetlib.dhp.oa.dedup.SparkCleanRelation</class>
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
--executor-cores=${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=15000
</spark-opts>
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
<arg>--inputPath</arg><arg>${workingPath}/propagaterelation/relation</arg>
<arg>--outputPath</arg><arg>${graphOutputPath}/relation</arg>
</spark>
<ok to="group_entities"/>
<error to="Kill"/>
</action>
@ -152,31 +126,7 @@
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
</spark>
<ok to="dispatch_entities"/>
<error to="Kill"/>
</action>
<action name="dispatch_entities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dispatch grouped entitities</name>
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
--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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
</spark>

150
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java
View File

@ -3,7 +3,6 @@ package eu.dnetlib.dhp.oa.dedup;
import static java.nio.file.Files.createTempDirectory;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.count;
import static org.junit.jupiter.api.Assertions.*;
import static org.mockito.Mockito.lenient;
@ -23,14 +22,13 @@ import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
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.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.Mock;
@ -46,8 +44,6 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
@ExtendWith(MockitoExtension.class)
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
@ -62,6 +58,8 @@ public class SparkDedupTest implements Serializable {
private static String testGraphBasePath;
private static String testOutputBasePath;
private static String testDedupGraphBasePath;
private static String testConsistencyGraphBasePath;
private static final String testActionSetId = "test-orchestrator";
private static String whitelistPath;
private static List<String> whiteList;
@ -75,6 +73,7 @@ public class SparkDedupTest implements Serializable {
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/entities").toURI())
.toFile()
.getAbsolutePath();
testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
.toAbsolutePath()
.toString();
@ -83,6 +82,10 @@ public class SparkDedupTest implements Serializable {
.toAbsolutePath()
.toString();
testConsistencyGraphBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
.toAbsolutePath()
.toString();
whitelistPath = Paths
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/whitelist.simrels.txt").toURI())
.toFile()
@ -674,22 +677,45 @@ public class SparkDedupTest implements Serializable {
assertEquals(mergedOrp, deletedOrp);
}
@Test
@Order(6)
void copyRelationsNoOpenorgsTest() throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SparkCopyRelationsNoOpenorgs.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/dedup/updateEntity_parameters.json")));
parser
.parseArgument(
new String[] {
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
});
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
System.out.println(outputRels.count());
// assertEquals(2382, outputRels.count());
}
@Test
@Order(7)
void propagateRelationTest() throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"));
String outputRelPath = testDedupGraphBasePath + "/propagaterelation";
parser
.parseArgument(
new String[] {
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", outputRelPath
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
});
new SparkPropagateRelation(parser, spark).run(isLookUpService);
long relations = jsc.textFile(outputRelPath + "/relation").count();
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
// assertEquals(4860, relations);
System.out.println("relations = " + relations);
@ -699,95 +725,52 @@ public class SparkDedupTest implements Serializable {
.read()
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
.as(Encoders.bean(Relation.class));
final JavaPairRDD<String, String> mergedIds = mergeRels
.where("relClass == 'merges'")
.select(mergeRels.col("target"))
.distinct()
.toJavaRDD()
.mapToPair(
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
JavaRDD<String> toCheck = jsc
.textFile(outputRelPath + "/relation")
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
.join(mergedIds)
.map(t -> t._2()._1())
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
.join(mergedIds)
.map(t -> t._2()._1());
Dataset<Row> inputRels = spark
.read()
.json(testDedupGraphBasePath + "/relation");
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
long updated = toCheck.count();
Dataset<Row> outputRels = spark
.read()
.json(testConsistencyGraphBasePath + "/relation");
assertEquals(updated, deletedbyinference);
assertEquals(
0, outputRels
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
.count());
assertEquals(
5, outputRels
.filter("relClass NOT IN ('merges', 'isMergedIn')")
.count());
assertEquals(5 + mergeRels.count(), outputRels.count());
}
@Test
@Order(8)
void testCleanBaseRelations() throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
// append dangling relations to be cleaned up
void testCleanedPropagatedRelations() throws Exception {
Dataset<Row> df_before = spark
.read()
.schema(Encoders.bean(Relation.class).schema())
.json(testGraphBasePath + "/relation");
Dataset<Row> df_input = df_before
.unionByName(df_before.drop("source").withColumn("source", functions.lit("n/a")))
.unionByName(df_before.drop("target").withColumn("target", functions.lit("n/a")));
df_input.write().mode(SaveMode.Overwrite).json(testOutputBasePath + "_tmp");
parser
.parseArgument(
new String[] {
"--graphBasePath", testGraphBasePath,
"--inputPath", testGraphBasePath + "/relation",
"--outputPath", testDedupGraphBasePath + "/relation"
});
new SparkCleanRelation(parser, spark).run(isLookUpService);
.json(testDedupGraphBasePath + "/relation");
Dataset<Row> df_after = spark
.read()
.schema(Encoders.bean(Relation.class).schema())
.json(testDedupGraphBasePath + "/relation");
assertNotEquals(df_before.count(), df_input.count());
assertNotEquals(df_input.count(), df_after.count());
assertEquals(5, df_after.count());
}
@Test
@Order(9)
void testCleanDedupedRelations() throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
String inputRelPath = testDedupGraphBasePath + "/propagaterelation/relation";
// append dangling relations to be cleaned up
Dataset<Row> df_before = spark.read().schema(Encoders.bean(Relation.class).schema()).json(inputRelPath);
df_before.filter(col("dataInfo.deletedbyinference").notEqual(true)).show(50, false);
parser
.parseArgument(
new String[] {
"--graphBasePath", testGraphBasePath,
"--inputPath", inputRelPath,
"--outputPath", testDedupGraphBasePath + "/relation"
});
new SparkCleanRelation(parser, spark).run(isLookUpService);
Dataset<Row> df_after = spark
.read()
.schema(Encoders.bean(Relation.class).schema())
.json(testDedupGraphBasePath + "/relation");
.json(testConsistencyGraphBasePath + "/relation");
assertNotEquals(df_before.count(), df_after.count());
assertEquals(0, df_after.count());
assertEquals(
0, df_after
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
.count());
assertEquals(
5, df_after
.filter("relClass NOT IN ('merges', 'isMergedIn')")
.count());
}
@Test
@ -813,6 +796,7 @@ public class SparkDedupTest implements Serializable {
public static void finalCleanUp() throws IOException {
FileUtils.deleteDirectory(new File(testOutputBasePath));
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
}
public boolean isDeletedByInference(String s) {

103
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkOpenorgsProvisionTest.java
View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.oa.dedup;
import static java.nio.file.Files.createTempDirectory;
import static org.apache.spark.sql.functions.col;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.mockito.Mockito.lenient;
@ -15,10 +16,6 @@ import java.nio.file.Paths;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
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.PairFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
@ -33,8 +30,6 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
@ExtendWith(MockitoExtension.class)
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
@ -44,11 +39,11 @@ public class SparkOpenorgsProvisionTest implements Serializable {
ISLookUpService isLookUpService;
private static SparkSession spark;
private static JavaSparkContext jsc;
private static String testGraphBasePath;
private static String testOutputBasePath;
private static String testDedupGraphBasePath;
private static String testConsistencyGraphBasePath;
private static final String testActionSetId = "test-orchestrator";
@BeforeAll
@ -64,6 +59,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
testDedupGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
.toAbsolutePath()
.toString();
testConsistencyGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
.toAbsolutePath()
.toString();
FileUtils.deleteDirectory(new File(testOutputBasePath));
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
@ -76,8 +74,13 @@ public class SparkOpenorgsProvisionTest implements Serializable {
.master("local[*]")
.config(conf)
.getOrCreate();
}
jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
@AfterAll
public static void finalCleanUp() throws IOException {
FileUtils.deleteDirectory(new File(testOutputBasePath));
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
}
@BeforeEach
@ -186,26 +189,21 @@ public class SparkOpenorgsProvisionTest implements Serializable {
new SparkUpdateEntity(parser, spark).run(isLookUpService);
long organizations = jsc.textFile(testDedupGraphBasePath + "/organization").count();
Dataset<Row> organizations = spark.read().json(testDedupGraphBasePath + "/organization");
long mergedOrgs = spark
Dataset<Row> mergedOrgs = spark
.read()
.load(testOutputBasePath + "/" + testActionSetId + "/organization_mergerel")
.as(Encoders.bean(Relation.class))
.where("relClass=='merges'")
.javaRDD()
.map(Relation::getTarget)
.distinct()
.count();
.select("target")
.distinct();
assertEquals(80, organizations);
assertEquals(80, organizations.count());
long deletedOrgs = jsc
.textFile(testDedupGraphBasePath + "/organization")
.filter(this::isDeletedByInference)
.count();
Dataset<Row> deletedOrgs = organizations
.filter("dataInfo.deletedbyinference = TRUE");
assertEquals(mergedOrgs, deletedOrgs);
assertEquals(mergedOrgs.count(), deletedOrgs.count());
}
@Test
@ -226,10 +224,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
final JavaRDD<String> rels = jsc.textFile(testDedupGraphBasePath + "/relation");
assertEquals(2382, rels.count());
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
assertEquals(2382, outputRels.count());
}
@Test
@ -244,51 +241,41 @@ public class SparkOpenorgsProvisionTest implements Serializable {
parser
.parseArgument(
new String[] {
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
});
new SparkPropagateRelation(parser, spark).run(isLookUpService);
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
assertEquals(4896, relations);
// check deletedbyinference
final Dataset<Relation> mergeRels = spark
.read()
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
.as(Encoders.bean(Relation.class));
final JavaPairRDD<String, String> mergedIds = mergeRels
Dataset<Row> inputRels = spark
.read()
.json(testDedupGraphBasePath + "/relation");
Dataset<Row> outputRels = spark
.read()
.json(testConsistencyGraphBasePath + "/relation");
final Dataset<Row> mergedIds = mergeRels
.where("relClass == 'merges'")
.select(mergeRels.col("target"))
.distinct()
.toJavaRDD()
.mapToPair(
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
.select(col("target").as("id"))
.distinct();
JavaRDD<String> toCheck = jsc
.textFile(testDedupGraphBasePath + "/relation")
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
.join(mergedIds)
.map(t -> t._2()._1())
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
.join(mergedIds)
.map(t -> t._2()._1());
Dataset<Row> toUpdateRels = inputRels
.as("rel")
.join(mergedIds.as("s"), col("rel.source").equalTo(col("s.id")), "left_outer")
.join(mergedIds.as("t"), col("rel.target").equalTo(col("t.id")), "left_outer")
.filter("s.id IS NOT NULL OR t.id IS NOT NULL")
.distinct();
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
long updated = toCheck.count();
Dataset<Row> updatedRels = inputRels
.select("source", "target", "relClass")
.except(outputRels.select("source", "target", "relClass"));
assertEquals(updated, deletedbyinference);
assertEquals(toUpdateRels.count(), updatedRels.count());
assertEquals(140, outputRels.count());
}
@AfterAll
public static void finalCleanUp() throws IOException {
FileUtils.deleteDirectory(new File(testOutputBasePath));
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
}
public boolean isDeletedByInference(String s) {
return s.contains("\"deletedbyinference\":true");
}
}

940
dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/irish_funder.json Normal file
View File

@ -0,0 +1,940 @@
[
{
"id": "100007630",
"uri": "http://dx.doi.org/10.13039/100007630",
"name": "College of Engineering and Informatics, National University of Ireland, Galway",
"synonym": []
},
{
"id": "100007731",
"uri": "http://dx.doi.org/10.13039/100007731",
"name": "Endo International",
"synonym": []
},
{
"id": "100008099",
"uri": "http://dx.doi.org/10.13039/100008099",
"name": "Food Safety Authority of Ireland",
"synonym": []
},
{
"id": "100008124",
"uri": "http://dx.doi.org/10.13039/100008124",
"name": "Department of Jobs, Enterprise and Innovation",
"synonym": []
},
{
"id": "100009098",
"uri": "http://dx.doi.org/10.13039/100009098",
"name": "Department of Foreign Affairs and Trade, Ireland",
"synonym": []
},
{
"id": "100009099",
"uri": "http://dx.doi.org/10.13039/100009099",
"name": "Irish Aid",
"synonym": []
},
{
"id": "100009770",
"uri": "http://dx.doi.org/10.13039/100009770",
"name": "National University of Ireland",
"synonym": []
},
{
"id": "100009985",
"uri": "http://dx.doi.org/10.13039/100009985",
"name": "Parkinson's Association of Ireland",
"synonym": []
},
{
"id": "100010399",
"uri": "http://dx.doi.org/10.13039/100010399",
"name": "European Society of Cataract and Refractive Surgeons",
"synonym": []
},
{
"id": "100010414",
"uri": "http://dx.doi.org/10.13039/100010414",
"name": "Health Research Board",
"synonym": [
"501100001590"
]
},
{
"id": "100010546",
"uri": "http://dx.doi.org/10.13039/100010546",
"name": "Deparment of Children and Youth Affairs, Ireland",
"synonym": []
},
{
"id": "100010993",
"uri": "http://dx.doi.org/10.13039/100010993",
"name": "Irish Nephrology Society",
"synonym": []
},
{
"id": "100011062",
"uri": "http://dx.doi.org/10.13039/100011062",
"name": "Asian Spinal Cord Network",
"synonym": []
},
{
"id": "100011096",
"uri": "http://dx.doi.org/10.13039/100011096",
"name": "Jazz Pharmaceuticals",
"synonym": []
},
{
"id": "100011396",
"uri": "http://dx.doi.org/10.13039/100011396",
"name": "Irish College of General Practitioners",
"synonym": []
},
{
"id": "100012734",
"uri": "http://dx.doi.org/10.13039/100012734",
"name": "Department for Culture, Heritage and the Gaeltacht, Ireland",
"synonym": []
},
{
"id": "100012754",
"uri": "http://dx.doi.org/10.13039/100012754",
"name": "Horizon Pharma",
"synonym": []
},
{
"id": "100012891",
"uri": "http://dx.doi.org/10.13039/100012891",
"name": "Medical Research Charities Group",
"synonym": []
},
{
"id": "100012919",
"uri": "http://dx.doi.org/10.13039/100012919",
"name": "Epilepsy Ireland",
"synonym": []
},
{
"id": "100012920",
"uri": "http://dx.doi.org/10.13039/100012920",
"name": "GLEN",
"synonym": []
},
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{
"id": "501100020570",
"uri": "http://dx.doi.org/10.13039/501100020570",
"name": "College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway",
"synonym": []
},
{
"id": "501100020871",
"uri": "http://dx.doi.org/10.13039/501100020871",
"name": "Bernal Institute, University of Limerick",
"synonym": []
},
{
"id": "501100023852",
"uri": "http://dx.doi.org/10.13039/501100023852",
"name": "Moore Institute for Research in the Humanities and Social Studies, University of Galway",
"synonym": []
}
]

27
dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala
View File

@ -16,6 +16,7 @@ import org.slf4j.{Logger, LoggerFactory}
import java.util
import scala.collection.JavaConverters._
import scala.collection.mutable
import scala.io.Source
import scala.util.matching.Regex
case class CrossrefDT(doi: String, json: String, timestamp: Long) {}
@ -30,11 +31,22 @@ case class mappingAuthor(
affiliation: Option[mappingAffiliation]
) {}
case class funderInfo(id: String, uri: String, name: String, synonym: List[String]) {}
case class mappingFunder(name: String, DOI: Option[String], award: Option[List[String]]) {}
case object Crossref2Oaf {
val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
val irishFunder: List[funderInfo] = {
val s = Source
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref/irish_funder.json"))
.mkString
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json: org.json4s.JValue = parse(s)
json.extract[List[funderInfo]]
}
val mappingCrossrefType = Map(
"book-section" -> "publication",
"book" -> "publication",
@ -88,6 +100,13 @@ case object Crossref2Oaf {
"report" -> "0017 Report"
)
def getIrishId(doi: String): Option[String] = {
val id = doi.split("/").last
irishFunder
.find(f => id.equalsIgnoreCase(f.id) || (f.synonym.nonEmpty && f.synonym.exists(s => s.equalsIgnoreCase(id))))
.map(f => f.id)
}
def mappingResult(result: Result, json: JValue, cobjCategory: String): Result = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
@ -467,6 +486,14 @@ case object Crossref2Oaf {
if (funders != null)
funders.foreach(funder => {
if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
if (getIrishId(funder.DOI.get).isDefined) {
val nsPrefix = getIrishId(funder.DOI.get).get.padTo(12, '_')
val targetId = getProjectId(nsPrefix, "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
}
funder.DOI.get match {
case "10.13039/100010663" | "10.13039/100010661" | "10.13039/501100007601" | "10.13039/501100000780" |
"10.13039/100010665" =>

7
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/SparkBulkTagJob.java
View File

@ -25,6 +25,7 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.bulktag.community.*;
import eu.dnetlib.dhp.schema.oaf.Datasource;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
public class SparkBulkTagJob {
@ -170,10 +171,12 @@ public class SparkBulkTagJob {
// TODO remove this hack as soon as the values fixed by this method will be provided as NON null
private static <R extends Result> MapFunction<R, R> patchResult() {
return r -> {
if (r.getDataInfo().getDeletedbyinference() == null) {
if (Objects.isNull(r.getDataInfo())) {
r.setDataInfo(OafMapperUtils.dataInfo(false, "", false, false, OafMapperUtils.unknown("", ""), ""));
} else if (r.getDataInfo().getDeletedbyinference() == null) {
r.getDataInfo().setDeletedbyinference(false);
}
if (r.getContext() == null) {
if (Objects.isNull(r.getContext())) {
r.setContext(new ArrayList<>());
}
return r;

32
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/PrepareResultCountrySet.java
View File

@ -5,10 +5,7 @@ import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
@ -88,14 +85,33 @@ public class PrepareResultCountrySet {
// selects all the results non deleted by inference and non invisible
Dataset<R> result = readPath(spark, inputPath, resultClazz)
.filter(
(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
!r.getDataInfo().getInvisible());
(FilterFunction<R>) r -> Optional
.ofNullable(r.getDataInfo())
.map(dataInfo -> !dataInfo.getDeletedbyinference() && !dataInfo.getInvisible())
.orElse(true));
// of the results collects the distinct keys for collected from (at the level of the result) and hosted by
// and produces pairs resultId, key for each distinct key associated to the result
result.flatMap((FlatMapFunction<R, EntityEntityRel>) r -> {
Set<String> cfhb = r.getCollectedfrom().stream().map(cf -> cf.getKey()).collect(Collectors.toSet());
cfhb.addAll(r.getInstance().stream().map(i -> i.getHostedby().getKey()).collect(Collectors.toSet()));
Set<String> cfhb = Optional
.ofNullable(r.getCollectedfrom())
.map(cf -> cf.stream().map(KeyValue::getKey).collect(Collectors.toSet()))
.orElse(new HashSet<>());
cfhb
.addAll(
Optional
.ofNullable(r.getInstance())
.map(
i -> i
.stream()
.map(
ii -> Optional
.ofNullable(ii.getHostedby())
.map(KeyValue::getKey)
.orElse(null))
.filter(Objects::nonNull)
.collect(Collectors.toSet()))
.orElse(new HashSet<>()));
return cfhb
.stream()
.map(value -> EntityEntityRel.newInstance(r.getId(), value))

25
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/group/oozie_app/workflow.xml
View File

@ -96,30 +96,7 @@
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
</spark>
<ok to="dispatch_entities"/>
<error to="Kill"/>
</action>
<action name="dispatch_entities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dispatch grouped entities</name>
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
</spark>

32
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/resolution/oozie_app/config-default.xml
View File

@ -1,4 +1,12 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
@ -7,4 +15,28 @@
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hive_metastore_uris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
</property>
<property>
<name>sparkExecutorNumber</name>
<value>4</value>
</property>
<property>
<name>spark2EventLogDir</name>
<value>/user/spark/spark2ApplicationHistory</value>
</property>
</configuration>

47
dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/group/GroupEntitiesSparkJobTest.java
View File

@ -10,7 +10,6 @@ import java.nio.file.Path;
import java.nio.file.Paths;
import org.apache.commons.io.FileUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
@ -23,9 +22,9 @@ import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob;
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.DHPUtils;
@ -40,8 +39,9 @@ public class GroupEntitiesSparkJobTest {
private static Path workingDir;
private Path dataInputPath;
private Path groupEntityPath;
private Path dispatchEntityPath;
private Path checkpointPath;
private Path outputPath;
@BeforeAll
public static void beforeAll() throws IOException {
@ -58,8 +58,8 @@ public class GroupEntitiesSparkJobTest {
@BeforeEach
public void beforeEach() throws IOException, URISyntaxException {
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
groupEntityPath = workingDir.resolve("grouped_entity");
dispatchEntityPath = workingDir.resolve("dispatched_entity");
checkpointPath = workingDir.resolve("grouped_entity");
outputPath = workingDir.resolve("dispatched_entity");
}
@AfterAll
@ -76,39 +76,28 @@ public class GroupEntitiesSparkJobTest {
Boolean.FALSE.toString(),
"-graphInputPath",
dataInputPath.toString(),
"-checkpointPath",
checkpointPath.toString(),
"-outputPath",
groupEntityPath.toString()
outputPath.toString(),
"-filterInvisible",
Boolean.FALSE.toString()
});
Dataset<Result> output = spark
Dataset<OafEntity> checkpointTable = spark
.read()
.textFile(groupEntityPath.toString())
.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
.load(checkpointPath.toString())
.selectExpr("COALESCE(*)")
.as(Encoders.kryo(OafEntity.class));
assertEquals(
1,
output
checkpointTable
.filter(
(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
(FilterFunction<OafEntity>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
.equals(r.getId()) &&
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
.count());
}
@Test
@Order(2)
void testDispatchEntities() throws Exception {
DispatchEntitiesSparkJob.main(new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
groupEntityPath.toString(),
"-outputPath",
dispatchEntityPath.resolve(".").toString(),
"-filterInvisible",
Boolean.TRUE.toString()
});
Dataset<Result> output = spark
.read()
@ -116,7 +105,7 @@ public class GroupEntitiesSparkJobTest {
DHPUtils
.toSeq(
HdfsSupport
.listFiles(dispatchEntityPath.toString(), spark.sparkContext().hadoopConfiguration())))
.listFiles(outputPath.toString(), spark.sparkContext().hadoopConfiguration())))
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
assertEquals(3, output.count());

8
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/copyDataToImpalaCluster.sh
View File

@ -24,13 +24,13 @@ function copydb() {
# drop tables from db
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${db} -q "drop table $i;"`;
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`;
done
# drop views from db
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${db} -q "drop view $i;"`;
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`;
done
# delete the database
@ -82,12 +82,12 @@ copydb $USAGE_STATS_DB
copydb $PROD_USAGE_STATS_DB
copydb $EXT_DB
copydb $STATS_DB
#copydb $MONITOR_DB
copydb $MONITOR_DB
copydb $OBSERVATORY_DB
copydb $MONITOR_DB'_funded'
copydb $MONITOR_DB'_institutions'
copydb $MONITOR_DB'_RIs_tail'
copydb $MONITOR_DB'_ris_tail'
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
for i in ${contexts}

10
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/finalizeImpalaCluster.sh
View File

@ -13,7 +13,7 @@ function createShadowDB() {
# drop views from db
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${SHADOW} -q "drop view $i;"`;
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} -q "drop view $i;"`;
done
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database ${SHADOW} CASCADE";
@ -36,13 +36,13 @@ createShadowDB $MONITOR_DB $MONITOR_DB_SHADOW
createShadowDB $OBSERVATORY_DB $OBSERVATORY_DB_SHADOW
createShadowDB USAGE_STATS_DB USAGE_STATS_DB_SHADOW
createShadowDB $MONITOR_DB'_funded' $MONITOR_DB'_funded_shadow'
createShadowDB $MONITOR_DB'_institutions' $MONITOR_DB'_institutions_shadow'
createShadowDB $MONITOR_DB'_RIs_tail' $MONITOR_DB'_RIs_tail_shadow'
createShadowDB $MONITOR_DB'_funded' $MONITOR_DB_SHADOW'_shadow_funded'
createShadowDB $MONITOR_DB'_institutions' $MONITOR_DB_SHADOW'_shadow_institutions'
createShadowDB $MONITOR_DB'_ris_tail' $MONITOR_DB_SHADOW'_shadow_ris_tail'
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
for i in ${contexts}
do
tmp=`echo "$i" | sed 's/'-'/'_'/g' | sed 's/'::'/'_'/g'`
createShadowDB ${MONITOR_DB}'_'${tmp} ${MONITOR_DB}'_'${tmp}'_shadow'
createShadowDB ${MONITOR_DB}'_'${tmp} ${MONITOR_DB_SHADOW}'_shadow_'${tmp}
done

22
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/monitor.sh Normal file → Executable file
View File

@ -14,6 +14,7 @@ export SCRIPT_PATH2=$5
export SCRIPT_PATH3=$6
export SCRIPT_PATH4=$7
export SCRIPT_PATH5=$8
export SCRIPT_PATH6=$9
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
export HADOOP_USER_NAME="oozie"
@ -33,12 +34,19 @@ hdfs dfs -copyToLocal $7
echo "Getting file from " $8
hdfs dfs -copyToLocal $8
echo "Getting file from " $9
hdfs dfs -copyToLocal $9
echo "Creating monitor database"
cat step20-createMonitorDBAll.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2/g1" > foo
hive $HIVE_OPTS -f foo
cat step20-createMonitorDB_funded.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
hive $HIVE_OPTS -f foo
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
hive $HIVE_OPTS -f foo
#
cat step20-createMonitorDB_institutions.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
hive $HIVE_OPTS -f foo
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
@ -56,14 +64,20 @@ do
hive $HIVE_OPTS -f foo
done
cat step20-createMonitorDB_RIs_tail.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_RIs_tail/g1" | sed "s/CONTEXTS/\"'knowmad::other','dh-ch::other', 'enermaps::other', 'gotriple::other', 'neanias-atmospheric::other', 'rural-digital-europe::other', 'covid-19::other', 'aurora::other', 'neanias-space::other', 'north-america-studies::other', 'north-american-studies::other', 'eutopia::other'\"/g" > foo
cat step20-createMonitorDB_RIs_tail.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_ris_tail/g1" | sed "s/CONTEXTS/\"'knowmad::other','dh-ch::other', 'enermaps::other', 'gotriple::other', 'neanias-atmospheric::other', 'rural-digital-europe::other', 'covid-19::other', 'aurora::other', 'neanias-space::other', 'north-america-studies::other', 'north-american-studies::other', 'eutopia::other'\"/g" > foo
hive $HIVE_OPTS -f foo
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_RIs_tail/g1" > foo
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_ris_tail/g1" > foo
hive $HIVE_OPTS -f foo
echo "Hive shell finished"
echo "Updating shadow monitor all database"
hive -e "drop database if exists ${SHADOW} cascade"
hive -e "create database if not exists ${SHADOW}"
hive $HIVE_OPTS --database ${2} -e "show tables" | grep -v WARN | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${2}.\1;/" > foo
hive -f foo
echo "Updated shadow monitor all database"
echo "Updating shadow monitor funded database"
hive -e "drop database if exists ${SHADOW}_funded cascade"
hive -e "create database if not exists ${SHADOW}_funded"

0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step13.sql Normal file → Executable file
View File

11
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step15.sql
View File

@ -37,8 +37,15 @@ select * from ${stats_db_name}.otherresearchproduct_refereed;
create table if not exists ${stats_db_name}.indi_impact_measures STORED AS PARQUET as
select substr(id, 4) as id, measures_ids.id impactmetric, cast(measures_ids.unit.value[0] as double) score,
cast(measures_ids.unit.value[0] as decimal(6,3)) score_dec, measures_ids.unit.value[1] class
cast(measures_ids.unit.value[0] as decimal(6,3)) score_dec, measures_ids.unit.value[1] impact_class
from ${openaire_db_name}.result lateral view explode(measures) measures as measures_ids
where measures_ids.id!='views' and measures_ids.id!='downloads';
ANALYZE TABLE indi_impact_measures COMPUTE STATISTICS;
create table if not exists ${stats_db_name}.result_apc_affiliations STORED AS PARQUET as
select distinct substr(rel.target,4) id, substr(rel.source,4) organization, o.legalname.value name,
cast(rel.properties[0].value as double) apc_amount,
rel.properties[1].value apc_currency
from ${openaire_db_name}.relation rel
join ${openaire_db_name}.organization o on o.id=rel.source
join ${openaire_db_name}.result r on r.id=rel.target
where rel.subreltype = 'affiliation' and rel.datainfo.deletedbyinference = false and size(rel.properties)>0;

1
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step15_5.sql
View File

@ -35,6 +35,7 @@ create or replace view ${stats_db_name}.doctoratestudents as select * from stats
create or replace view ${stats_db_name}.totalresearchers as select * from stats_ext.totalresearchers;
create or replace view ${stats_db_name}.totalresearchersft as select * from stats_ext.totalresearchersft;
create or replace view ${stats_db_name}.hrrst as select * from stats_ext.hrrst;
create or replace view ${stats_db_name}.graduatedoctorates as select * from stats_ext.graduatedoctorates;
create table if not exists ${stats_db_name}.result_instance stored as parquet as
select distinct r.*

1283
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step16-createIndicatorsTables.sql
View File

File diff suppressed because it is too large Load Diff

117
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB.sql
View File

@ -88,85 +88,88 @@ create view if not exists TARGET.doctoratestudents as select * from SOURCE.docto
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
create table TARGET.result_accessroute stored as parquet as select * from SOURCE.result_accessroute orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
create table TARGET.result_orcid stored as parquet as select * from SOURCE.result_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
drop view TARGET.foo1;
drop view TARGET.foo2;
ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
-- datasources
create view if not exists TARGET.datasource as select * from SOURCE.datasource;
@ -175,7 +178,7 @@ create view if not exists TARGET.datasource_organizations as select * from SOURC
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
-- organizations
create view if not exists TARGET.organization as select * from SOURCE.organization;
@ -193,28 +196,28 @@ create view if not exists TARGET.project_classification as select * from SOURCE.
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
-- indicators
-- Sprint 1 ----
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
-- Sprint 2 ----
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
---- Sprint 3 ----
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
@ -223,32 +226,32 @@ create view TARGET.indi_funder_country_collab as select * from SOURCE.indi_funde
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
---- Sprint 4 ----
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
---- Sprint 5 ----
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
---- Sprint 6 ----
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
create table TARGET.indi_pub_bronze_oa stored as parquet as select * from SOURCE.indi_pub_bronze_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
---- Sprint 7 ----
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
@ -259,12 +262,22 @@ create view TARGET.indi_org_findable as select * from SOURCE.indi_org_findable;
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
create table TARGET.indi_impact_measures stored as parquet as select * from SOURCE.indi_impact_measures orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
create table TARGET.indi_pub_interdisciplinarity stored as parquet as select * from SOURCE.indi_pub_interdisciplinarity orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
create table TARGET.result_apc_affiliations stored as parquet as select * from SOURCE.result_apc_affiliations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_apc_affiliations COMPUTE STATISTICS;
create table TARGET.indi_is_project_result_after stored as parquet as select * from SOURCE.indi_is_project_result_after orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
create table TARGET.indi_is_funder_plan_s stored as parquet as select * from SOURCE.indi_is_funder_plan_s orig where exists (select 1 from TARGET.result r where r.id=orig.id);
create view TARGET.indi_funder_fairness as select * from SOURCE.indi_funder_fairness;
create view TARGET.indi_funder_openess as select * from SOURCE.indi_funder_openess;
create view TARGET.indi_funder_findable as select * from SOURCE.indi_funder_findable;
create view TARGET.indi_ris_fairness as select * from SOURCE.indi_ris_fairness;
create view TARGET.indi_ris_openess as select * from SOURCE.indi_ris_openess;
create view TARGET.indi_ris_findable as select * from SOURCE.indi_ris_findable;

292
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDBAll.sql Normal file
View File

@ -0,0 +1,292 @@
drop database if exists TARGET cascade;
create database if not exists TARGET;
create view if not exists TARGET.category as select * from SOURCE.category;
create view if not exists TARGET.concept as select * from SOURCE.concept;
create view if not exists TARGET.context as select * from SOURCE.context;
create view if not exists TARGET.country as select * from SOURCE.country;
create view if not exists TARGET.countrygdp as select * from SOURCE.countrygdp;
create view if not exists TARGET.creation_date as select * from SOURCE.creation_date;
create view if not exists TARGET.funder as select * from SOURCE.funder;
create view if not exists TARGET.fundref as select * from SOURCE.fundref;
create view if not exists TARGET.rndexpenditure as select * from SOURCE.rndexpediture;
create view if not exists TARGET.rndgdpexpenditure as select * from SOURCE.rndgdpexpenditure;
create view if not exists TARGET.doctoratestudents as select * from SOURCE.doctoratestudents;
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
create table TARGET.result stored as parquet as
select distinct * from (
select * from SOURCE.result r where exists (select 1 from SOURCE.result_projects rp join SOURCE.project p on rp.project=p.id where rp.id=r.id)
union all
select * from SOURCE.result r where exists (select 1 from SOURCE.result_concepts rc where rc.id=r.id)
union all
select * from SOURCE.result r where exists (select 1 from SOURCE.result_organization ro where ro.id=r.id and ro.organization in (
'openorgs____::b84450f9864182c67b8611b5593f4250', --"Athena Research and Innovation Center In Information Communication & Knowledge Technologies', --ARC"
'openorgs____::d41cf6bd4ab1b1362a44397e0b95c975', --National Research Council
'openorgs____::d2a09b9d5eabb10c95f9470e172d05d2', --??? Not exists ??
'openorgs____::d169c7407dd417152596908d48c11460', --Masaryk University
'openorgs____::1ec924b1759bb16d0a02f2dad8689b21', --University of Belgrade
'openorgs____::0ae431b820e4c33db8967fbb2b919150', --University of Helsinki
'openorgs____::759d59f05d77188faee99b7493b46805', --University of Minho
'openorgs____::cad284878801b9465fa51a95b1d779db', --Universidad Politécnica de Madrid
'openorgs____::eadc8da90a546e98c03f896661a2e4d4', --University of Göttingen
'openorgs____::c0286313e36479eff8676dba9b724b40', --National and Kapodistrian University of Athens
-- 'openorgs____::c80a8243a5e5c620d7931c88d93bf17a', --Université Paris Diderot
'openorgs____::c08634f0a6b0081c3dc6e6c93a4314f3', --Bielefeld University
'openorgs____::6fc85e4a8f7ecaf4b0c738d010e967ea', --University of Southern Denmark
'openorgs____::3d6122f87f9a97a99d8f6e3d73313720', --Humboldt-Universität zu Berlin
'openorgs____::16720ada63d0fa8ca41601feae7d1aa5', --TU Darmstadt
'openorgs____::ccc0a066b56d2cfaf90c2ae369df16f5', --KU Leuven
'openorgs____::4c6f119632adf789746f0a057ed73e90', --University of the Western Cape
'openorgs____::ec3665affa01aeafa28b7852c4176dbd', --Rudjer Boskovic Institute
'openorgs____::5f31346d444a7f06a28c880fb170b0f6', --Ghent University
'openorgs____::2dbe47117fd5409f9c61620813456632', --University of Luxembourg
'openorgs____::6445d7758d3a40c4d997953b6632a368', --National Institute of Informatics (NII)
'openorgs____::b77c01aa15de3675da34277d48de2ec1', -- Valencia Catholic University Saint Vincent Martyr
'openorgs____::7fe2f66cdc43983c6b24816bfe9cf6a0', -- Unviersity of Warsaw
'openorgs____::15e7921fc50d9aa1229a82a84429419e', -- University Of Thessaly
'openorgs____::11f7919dadc8f8a7251af54bba60c956', -- Technical University of Crete
'openorgs____::84f0c5f5dbb6daf42748485924efde4b', -- University of Piraeus
'openorgs____::4ac562f0376fce3539504567649cb373', -- University of Patras
'openorgs____::3e8d1f8c3f6cd7f418b09f1f58b4873b', -- Aristotle University of Thessaloniki
'openorgs____::3fcef6e1c469c10f2a84b281372c9814', -- World Bank
'openorgs____::1698a2eb1885ef8adb5a4a969e745ad3', -- École des Ponts ParisTech
'openorgs____::e15adb13c4dadd49de4d35c39b5da93a', -- Nanyang Technological University
'openorgs____::4b34103bde246228fcd837f5f1bf4212', -- Autonomous University of Barcelona
'openorgs____::72ec75fcfc4e0df1a76dc4c49007fceb', -- McMaster University
'openorgs____::51c7fc556e46381734a25a6fbc3fd398', -- University of Modena and Reggio Emilia
'openorgs____::235d7f9ad18ecd7e6dc62ea4990cb9db', -- Bilkent University
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
'openorgs____::38d7097854736583dde879d12dacafca', -- Brown University
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
'openorgs____::5e6bf8962665cdd040341171e5c631d8', -- Delft University of Technology
'openorgs____::846cb428d3f52a445f7275561a7beb5d', -- University of Manitoba
'openorgs____::eb391317ed0dc684aa81ac16265de041', -- Universitat Rovira i Virgili
'openorgs____::66aa9fc2fceb271423dfabcc38752dc0', -- Lund University
'openorgs____::3cff625a4370d51e08624cc586138b2f', -- IMT Atlantique
'openorgs____::c0b262bd6eab819e4c994914f9c010e2', -- National Institute of Geophysics and Volcanology
'openorgs____::1624ff7c01bb641b91f4518539a0c28a', -- Vrije Universiteit Amsterdam
'openorgs____::4d4051b56708688235252f1d8fddb8c1', --Iscte - Instituto Universitário de Lisboa
'openorgs____::ab4ac74c35fa5dada770cf08e5110fab', -- Universidade Católica Portuguesa
'openorgs____::4d4051b56708688235252f1d8fddb8c1', -- Iscte - Instituto Universitário de Lisboa
'openorgs____::5d55fb216b14691cf68218daf5d78cd9', -- Munster Technological University
'openorgs____::0fccc7640f0cb44d5cd1b06b312a06b9', -- Cardiff University
'openorgs____::8839b55dae0c84d56fd533f52d5d483a' -- Leibniz Institute of Ecological Urban and Regional Development
) )) foo;
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
create view if not exists TARGET.category as select * from SOURCE.category;
create view if not exists TARGET.concept as select * from SOURCE.concept;
create view if not exists TARGET.context as select * from SOURCE.context;
create view if not exists TARGET.country as select * from SOURCE.country;
create view if not exists TARGET.countrygdp as select * from SOURCE.countrygdp;
create view if not exists TARGET.creation_date as select * from SOURCE.creation_date;
create view if not exists TARGET.funder as select * from SOURCE.funder;
create view if not exists TARGET.fundref as select * from SOURCE.fundref;
create view if not exists TARGET.rndexpenditure as select * from SOURCE.rndexpediture;
create view if not exists TARGET.rndgdpexpenditure as select * from SOURCE.rndgdpexpenditure;
create view if not exists TARGET.doctoratestudents as select * from SOURCE.doctoratestudents;
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
--create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
--ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
create table TARGET.result_accessroute stored as parquet as select * from SOURCE.result_accessroute orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
drop view TARGET.foo1;
drop view TARGET.foo2;
--ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
-- datasources
create view if not exists TARGET.datasource as select * from SOURCE.datasource;
create view if not exists TARGET.datasource_oids as select * from SOURCE.datasource_oids;
create view if not exists TARGET.datasource_organizations as select * from SOURCE.datasource_organizations;
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
--ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
-- organizations
create view if not exists TARGET.organization as select * from SOURCE.organization;
create view if not exists TARGET.organization_datasources as select * from SOURCE.organization_datasources;
create view if not exists TARGET.organization_pids as select * from SOURCE.organization_pids;
create view if not exists TARGET.organization_projects as select * from SOURCE.organization_projects;
create view if not exists TARGET.organization_sources as select * from SOURCE.organization_sources;
-- projects
create view if not exists TARGET.project as select * from SOURCE.project;
create view if not exists TARGET.project_oids as select * from SOURCE.project_oids;
create view if not exists TARGET.project_organizations as select * from SOURCE.project_organizations;
create view if not exists TARGET.project_resultcount as select * from SOURCE.project_resultcount;
create view if not exists TARGET.project_classification as select * from SOURCE.project_classification;
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
--ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
-- indicators
-- Sprint 1 ----
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
-- Sprint 2 ----
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
---- Sprint 3 ----
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
create view TARGET.indi_project_collab_org_country as select * from SOURCE.indi_project_collab_org_country;
create view TARGET.indi_funder_country_collab as select * from SOURCE.indi_funder_country_collab;
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
---- Sprint 4 ----
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
---- Sprint 5 ----
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
---- Sprint 6 ----
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
create table TARGET.indi_pub_bronze_oa stored as parquet as select * from SOURCE.indi_pub_bronze_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
--ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
--ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
---- Sprint 7 ----
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
create view TARGET.indi_org_fairness_pub as select * from SOURCE.indi_org_fairness_pub;
create view TARGET.indi_org_fairness_year as select * from SOURCE.indi_org_fairness_year;
create view TARGET.indi_org_findable_year as select * from SOURCE.indi_org_findable_year;
create view TARGET.indi_org_findable as select * from SOURCE.indi_org_findable;
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
create table TARGET.indi_impact_measures stored as parquet as select * from SOURCE.indi_impact_measures orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
create table TARGET.indi_pub_interdisciplinarity stored as parquet as select * from SOURCE.indi_pub_interdisciplinarity orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
create table TARGET.result_apc_affiliations stored as parquet as select * from SOURCE.result_apc_affiliations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--ANALYZE TABLE TARGET.result_apc_affiliations COMPUTE STATISTICS;
create table TARGET.indi_is_project_result_after stored as parquet as select * from SOURCE.indi_is_project_result_after orig where exists (select 1 from TARGET.result r where r.id=orig.id);
create table TARGET.indi_is_funder_plan_s stored as parquet as select * from SOURCE.indi_is_funder_plan_s orig where exists (select 1 from TARGET.result r where r.id=orig.id);
create view TARGET.indi_funder_fairness as select * from SOURCE.indi_funder_fairness;
create view TARGET.indi_funder_openess as select * from SOURCE.indi_funder_openess;
create view TARGET.indi_funder_findable as select * from SOURCE.indi_funder_findable;
create view TARGET.indi_ris_fairness as select * from SOURCE.indi_ris_fairness;
create view TARGET.indi_ris_openess as select * from SOURCE.indi_ris_openess;
create view TARGET.indi_ris_findable as select * from SOURCE.indi_ris_findable;

2
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB_RIs.sql
View File

@ -12,4 +12,4 @@ create table TARGET.result stored as parquet as
-- join SOURCE.result
where rc.id=r.id and conc.category like CONTEXT)
) foo;
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;

2
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB_RIs_tail.sql
View File

@ -12,4 +12,4 @@ create table TARGET.result stored as parquet as
-- join SOURCE.result
where rc.id=r.id and conc.category not in (CONTEXTS))
) foo;
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;

2
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB_funded.sql
View File

@ -6,4 +6,4 @@ create table TARGET.result stored as parquet as
select * from SOURCE.result r where exists (select 1 from SOURCE.result_projects rp join SOURCE.project p on rp.project=p.id where rp.id=r.id)
) foo;
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;

28
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step20-createMonitorDB_institutions.sql
View File

@ -34,16 +34,16 @@ create table TARGET.result stored as parquet as
'openorgs____::3e8d1f8c3f6cd7f418b09f1f58b4873b', -- Aristotle University of Thessaloniki
'openorgs____::3fcef6e1c469c10f2a84b281372c9814', -- World Bank
'openorgs____::1698a2eb1885ef8adb5a4a969e745ad3', -- École des Ponts ParisTech
'openorgs____::e15adb13c4dadd49de4d35c39b5da93a', -- Nanyang Technological University
'openorgs____::4b34103bde246228fcd837f5f1bf4212', -- Autonomous University of Barcelona
'openorgs____::72ec75fcfc4e0df1a76dc4c49007fceb', -- McMaster University
'openorgs____::51c7fc556e46381734a25a6fbc3fd398', -- University of Modena and Reggio Emilia
'openorgs____::235d7f9ad18ecd7e6dc62ea4990cb9db', -- Bilkent University
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
'openorgs____::e15adb13c4dadd49de4d35c39b5da93a', -- Nanyang Technological University
'openorgs____::4b34103bde246228fcd837f5f1bf4212', -- Autonomous University of Barcelona
'openorgs____::72ec75fcfc4e0df1a76dc4c49007fceb', -- McMaster University
'openorgs____::51c7fc556e46381734a25a6fbc3fd398', -- University of Modena and Reggio Emilia
'openorgs____::235d7f9ad18ecd7e6dc62ea4990cb9db', -- Bilkent University
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
'openorgs____::38d7097854736583dde879d12dacafca' -- Brown University
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
'openorgs____::38d7097854736583dde879d12dacafca', -- Brown University
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
'openorgs____::5e6bf8962665cdd040341171e5c631d8', -- Delft University of Technology
@ -52,7 +52,13 @@ create table TARGET.result stored as parquet as
'openorgs____::66aa9fc2fceb271423dfabcc38752dc0', -- Lund University
'openorgs____::3cff625a4370d51e08624cc586138b2f', -- IMT Atlantique
'openorgs____::c0b262bd6eab819e4c994914f9c010e2', -- National Institute of Geophysics and Volcanology
'openorgs____::1624ff7c01bb641b91f4518539a0c28a' -- Vrije Universiteit Amsterdam
'openorgs____::1624ff7c01bb641b91f4518539a0c28a', -- Vrije Universiteit Amsterdam
'openorgs____::4d4051b56708688235252f1d8fddb8c1', --Iscte - Instituto Universitário de Lisboa
'openorgs____::ab4ac74c35fa5dada770cf08e5110fab', -- Universidade Católica Portuguesa
'openorgs____::4d4051b56708688235252f1d8fddb8c1', -- Iscte - Instituto Universitário de Lisboa
'openorgs____::5d55fb216b14691cf68218daf5d78cd9', -- Munster Technological University
'openorgs____::0fccc7640f0cb44d5cd1b06b312a06b9', -- Cardiff University
'openorgs____::8839b55dae0c84d56fd533f52d5d483a' -- Leibniz Institute of Ecological Urban and Regional Development
))) foo;
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;

38
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step21-createObservatoryDB.sql
View File

@ -8,7 +8,7 @@ from ${stats_db_name}.result r
group by rl.id
) rln on rln.id=r.id;
ANALYZE TABLE ${observatory_db_name}.result_cc_licence COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_cc_licence COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_country stored as parquet as
select
@ -39,7 +39,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_year stored as parquet as
select
@ -70,7 +70,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_year COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_year_country stored as parquet as
select
@ -101,7 +101,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_year_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_datasource stored as parquet as
select
@ -134,7 +134,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_datasource_country stored as parquet as
select
@ -167,7 +167,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_organization stored as parquet as
select
@ -198,7 +198,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_organization_country stored as parquet as
select
@ -229,7 +229,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_funder stored as parquet as
select
@ -262,7 +262,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_funder_country stored as parquet as
select
@ -295,7 +295,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_country stored as parquet as
select
@ -328,7 +328,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_year stored as parquet as
select
@ -361,7 +361,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
ANALYZE TABLE ${observatory_db_name}.result_deposited_year COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_year COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_year_country stored as parquet as
select
@ -394,7 +394,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_year_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_year_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_datasource stored as parquet as
select
@ -427,7 +427,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_datasource_country stored as parquet as
select
@ -460,7 +460,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_organization stored as parquet as
select
@ -493,7 +493,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_organization COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_organization_country stored as parquet as
select
@ -526,7 +526,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_organization_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_funder stored as parquet as
select
@ -561,7 +561,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_funder COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_funder_country stored as parquet as
select
@ -596,4 +596,4 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder_country COMPUTE STATISTICS;
--ANALYZE TABLE ${observatory_db_name}.result_deposited_funder_country COMPUTE STATISTICS;

0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5.sql Normal file → Executable file
View File

16
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml
View File

@ -317,15 +317,12 @@
</action>
<action name="Step16-createIndicatorsTables">
<shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>indicators.sh</exec>
<argument>${stats_db_name}</argument>
<argument>${external_stats_db_name}</argument>
<argument>${wf:appPath()}/scripts/step16-createIndicatorsTables.sql</argument>
<file>indicators.sh</file>
</shell>
<hive2 xmlns="uri:oozie:hive2-action:0.1">
<jdbc-url>${hive_jdbc_url}</jdbc-url>
<script>scripts/step16-createIndicatorsTables.sql</script>
<param>stats_db_name=${stats_db_name}</param>
<param>external_stats_db_name=${external_stats_db_name}</param>
</hive2>
<ok to="Step16_1-definitions"/>
<error to="Kill"/>
</action>
@ -378,6 +375,7 @@
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_institutions.sql</argument>
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs.sql</argument>
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs_tail.sql</argument>
<argument>${wf:appPath()}/scripts/step20-createMonitorDBAll.sql</argument>
<file>monitor.sh</file>
</shell>
<ok to="step21-createObservatoryDB-pre"/>

110
dhp-workflows/dhp-swh/pom.xml Normal file
View File

@ -0,0 +1,110 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-workflows</artifactId>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-swh</artifactId>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-common</artifactId>
<version>${project.version}</version>
<exclusions>
<exclusion>
<groupId>net.sf.saxon</groupId>
<artifactId>Saxon-HE</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>dom4j</groupId>
<artifactId>dom4j</artifactId>
</dependency>
<dependency>
<groupId>xml-apis</groupId>
<artifactId>xml-apis</artifactId>
</dependency>
<dependency>
<groupId>jaxen</groupId>
<artifactId>jaxen</artifactId>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-distcp</artifactId>
</dependency>
<dependency>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-actionmanager-api</artifactId>
</dependency>
<dependency>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-actionmanager-common</artifactId>
<exclusions>
<exclusion>
<groupId>eu.dnetlib</groupId>
<artifactId>dnet-openaireplus-mapping-utils</artifactId>
</exclusion>
<exclusion>
<groupId>saxonica</groupId>
<artifactId>saxon</artifactId>
</exclusion>
<exclusion>
<groupId>saxonica</groupId>
<artifactId>saxon-dom</artifactId>
</exclusion>
<exclusion>
<groupId>jgrapht</groupId>
<artifactId>jgrapht</artifactId>
</exclusion>
<exclusion>
<groupId>net.sf.ehcache</groupId>
<artifactId>ehcache</artifactId>
</exclusion>
<exclusion>
<groupId>org.springframework</groupId>
<artifactId>spring-test</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.*</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>apache</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.13</version>
</dependency>
<dependency>
<groupId>org.datanucleus</groupId>
<artifactId>datanucleus-core</artifactId>
<version>3.2.10</version>
<scope>compile</scope>
</dependency>
</dependencies>
</project>

176
dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/ArchiveRepositoryURLs.java Normal file
View File

@ -0,0 +1,176 @@
package eu.dnetlib.dhp.swh;
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
import java.io.IOException;
import java.net.URL;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.Optional;
import java.util.concurrent.TimeUnit;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions;
import eu.dnetlib.dhp.swh.models.LastVisitData;
import eu.dnetlib.dhp.swh.utils.SWHConnection;
import eu.dnetlib.dhp.swh.utils.SWHConstants;
import eu.dnetlib.dhp.swh.utils.SWHUtils;
/**
* Sends archive requests to the SWH API for those software repository URLs that are missing from them
*
* @author Serafeim Chatzopoulos
*/
public class ArchiveRepositoryURLs {
private static final Logger log = LoggerFactory.getLogger(ArchiveRepositoryURLs.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SWHConnection swhConnection = null;
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser argumentParser = new ArgumentApplicationParser(
IOUtils
.toString(
CollectLastVisitRepositoryData.class
.getResourceAsStream(
"/eu/dnetlib/dhp/swh/input_archive_repository_urls.json")));
argumentParser.parseArgument(args);
final String hdfsuri = argumentParser.get("namenode");
log.info("hdfsURI: {}", hdfsuri);
final String inputPath = argumentParser.get("lastVisitsPath");
log.info("inputPath: {}", inputPath);
final String outputPath = argumentParser.get("archiveRequestsPath");
log.info("outputPath: {}", outputPath);
final Integer archiveThresholdInDays = Integer.parseInt(argumentParser.get("archiveThresholdInDays"));
log.info("archiveThresholdInDays: {}", archiveThresholdInDays);
final String apiAccessToken = argumentParser.get("apiAccessToken");
log.info("apiAccessToken: {}", apiAccessToken);
final HttpClientParams clientParams = SWHUtils.getClientParams(argumentParser);
swhConnection = new SWHConnection(clientParams, apiAccessToken);
final FileSystem fs = FileSystem.get(getHadoopConfiguration(hdfsuri));
archive(fs, inputPath, outputPath, archiveThresholdInDays);
}
private static void archive(FileSystem fs, String inputPath, String outputPath, Integer archiveThresholdInDays)
throws IOException {
SequenceFile.Reader fr = SWHUtils.getSequenceFileReader(fs, inputPath);
SequenceFile.Writer fw = SWHUtils.getSequenceFileWriter(fs, outputPath);
// Create key and value objects to hold data
Text repoUrl = new Text();
Text lastVisitData = new Text();
// Read key-value pairs from the SequenceFile and handle appropriately
while (fr.next(repoUrl, lastVisitData)) {
String response = null;
try {
response = handleRecord(repoUrl.toString(), lastVisitData.toString(), archiveThresholdInDays);
} catch (java.text.ParseException e) {
log.error("Could not handle record with repo Url: {}", repoUrl.toString());
throw new RuntimeException(e);
}
// response is equal to null when no need for request
if (response != null) {
SWHUtils.appendToSequenceFile(fw, repoUrl.toString(), response);
}
}
// Close readers
fw.close();
fr.close();
}
public static String handleRecord(String repoUrl, String lastVisitData, Integer archiveThresholdInDays)
throws IOException, java.text.ParseException {
log.info("{ Key: {}, Value: {} }", repoUrl, lastVisitData);
LastVisitData lastVisit = OBJECT_MAPPER.readValue(lastVisitData, LastVisitData.class);
// a previous attempt for archival has been made, and repository URL was not found
// avoid performing the same archive request again
if (lastVisit.getStatus() != null &&
lastVisit.getStatus().equals(SWHConstants.VISIT_STATUS_NOT_FOUND)) {
log.info("Avoid request -- previous archive request returned NOT_FOUND");
return null;
}
// if we have last visit data
if (lastVisit.getSnapshot() != null) {
String cleanDate = GraphCleaningFunctions.cleanDate(lastVisit.getDate());
// and the last visit date can be parsed
if (cleanDate != null) {
SimpleDateFormat formatter = new SimpleDateFormat(ModelSupport.DATE_FORMAT);
Date lastVisitDate = formatter.parse(cleanDate);
// OR last visit time < (now() - archiveThresholdInDays)
long diffInMillies = Math.abs((new Date()).getTime() - lastVisitDate.getTime());
long diffInDays = TimeUnit.DAYS.convert(diffInMillies, TimeUnit.MILLISECONDS);
log.info("Date diff from now (in days): {}", diffInDays);
// do not perform a request, if the last visit date is no older than $archiveThresholdInDays
if (archiveThresholdInDays >= diffInDays) {
log.info("Avoid request -- no older than {} days", archiveThresholdInDays);
return null;
}
}
}
// ELSE perform an archive request
log.info("Perform archive request for: {}", repoUrl);
// if last visit data are available, re-use version control type,
// else use the default one (i.e., git)
String visitType = Optional
.ofNullable(lastVisit.getType())
.orElse(SWHConstants.DEFAULT_VISIT_TYPE);
URL url = new URL(String.format(SWHConstants.SWH_ARCHIVE_URL, visitType, repoUrl.trim()));
log.info("Sending archive request: {}", url);
String response;
try {
response = swhConnection.call(url.toString());
} catch (CollectorException e) {
log.error("Error in request: {}", url);
response = "{}";
}
return response;
}
}

119
dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/CollectLastVisitRepositoryData.java Normal file
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@ -0,0 +1,119 @@
package eu.dnetlib.dhp.swh;
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
import java.io.BufferedReader;
import java.io.IOException;
import java.net.URL;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.SequenceFile;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.swh.utils.SWHConnection;
import eu.dnetlib.dhp.swh.utils.SWHConstants;
import eu.dnetlib.dhp.swh.utils.SWHUtils;
/**
* Given a file with software repository URLs, this class
* collects last visit data from the Software Heritage API.
*
* @author Serafeim Chatzopoulos
*/
public class CollectLastVisitRepositoryData {
private static final Logger log = LoggerFactory.getLogger(CollectLastVisitRepositoryData.class);
private static SWHConnection swhConnection = null;
public static void main(final String[] args)
throws IOException, ParseException {
final ArgumentApplicationParser argumentParser = new ArgumentApplicationParser(
IOUtils
.toString(
CollectLastVisitRepositoryData.class
.getResourceAsStream(
"/eu/dnetlib/dhp/swh/input_collect_last_visit_repository_data.json")));
argumentParser.parseArgument(args);
log.info("Java Xmx: {}m", Runtime.getRuntime().maxMemory() / (1024 * 1024));
final String hdfsuri = argumentParser.get("namenode");
log.info("hdfsURI: {}", hdfsuri);
final String inputPath = argumentParser.get("softwareCodeRepositoryURLs");
log.info("inputPath: {}", inputPath);
final String outputPath = argumentParser.get("lastVisitsPath");
log.info("outputPath: {}", outputPath);
final String apiAccessToken = argumentParser.get("apiAccessToken");
log.info("apiAccessToken: {}", apiAccessToken);
final HttpClientParams clientParams = SWHUtils.getClientParams(argumentParser);
swhConnection = new SWHConnection(clientParams, apiAccessToken);
final FileSystem fs = FileSystem.get(getHadoopConfiguration(hdfsuri));
collect(fs, inputPath, outputPath);
fs.close();
}
private static void collect(FileSystem fs, String inputPath, String outputPath)
throws IOException {
SequenceFile.Writer fw = SWHUtils.getSequenceFileWriter(fs, outputPath);
// Specify the HDFS directory path you want to read
Path directoryPath = new Path(inputPath);
// List all files in the directory
FileStatus[] partStatuses = fs.listStatus(directoryPath);
for (FileStatus partStatus : partStatuses) {
// Check if it's a file (not a directory)
if (partStatus.isFile()) {
handleFile(fs, partStatus.getPath(), fw);
}
}
fw.close();
}
private static void handleFile(FileSystem fs, Path partInputPath, SequenceFile.Writer fw)
throws IOException {
BufferedReader br = SWHUtils.getFileReader(fs, partInputPath);
String repoUrl;
while ((repoUrl = br.readLine()) != null) {
URL url = new URL(String.format(SWHConstants.SWH_LATEST_VISIT_URL, repoUrl.trim()));
String response;
try {
response = swhConnection.call(url.toString());
} catch (CollectorException e) {
log.error("Error in request: {}", url);
response = "{}";
}
SWHUtils.appendToSequenceFile(fw, repoUrl, response);
}
br.close();
}
}

93
dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/CollectSoftwareRepositoryURLs.java Normal file
View File

@ -0,0 +1,93 @@
package eu.dnetlib.dhp.swh;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.Result;
/**
* Collects unique software repository URLs in the Graph using Hive
*
* @author Serafeim Chatzopoulos
*/
public class CollectSoftwareRepositoryURLs {
private static final Logger log = LoggerFactory.getLogger(CollectSoftwareRepositoryURLs.class);
public static <I extends Result> void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
CollectSoftwareRepositoryURLs.class
.getResourceAsStream("/eu/dnetlib/dhp/swh/input_collect_software_repository_urls.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String hiveDbName = parser.get("hiveDbName");
log.info("hiveDbName: {}", hiveDbName);
final String outputPath = parser.get("softwareCodeRepositoryURLs");
log.info("softwareCodeRepositoryURLs: {}", outputPath);
final String hiveMetastoreUris = parser.get("hiveMetastoreUris");
log.info("hiveMetastoreUris: {}", hiveMetastoreUris);
final Integer softwareLimit = Integer.parseInt(parser.get("softwareLimit"));
log.info("softwareLimit: {}", softwareLimit);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", hiveMetastoreUris);
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
doRun(spark, hiveDbName, softwareLimit, outputPath);
});
}
private static <I extends Result> void doRun(SparkSession spark, String hiveDbName, Integer limit,
String outputPath) {
String queryTemplate = "SELECT distinct coderepositoryurl.value " +
"FROM %s.software " +
"WHERE coderepositoryurl.value IS NOT NULL " +
"AND datainfo.deletedbyinference = FALSE " +
"AND datainfo.invisible = FALSE ";
if (limit != null) {
queryTemplate += String.format("LIMIT %s", limit);
}
String query = String.format(queryTemplate, hiveDbName);
log.info("Hive query to fetch software code URLs: {}", query);
Dataset<Row> df = spark.sql(query);
// write distinct repository URLs
df
.write()
.mode(SaveMode.Overwrite)
.csv(outputPath);
}
}

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dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/PrepareSWHActionsets.java Normal file
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package eu.dnetlib.dhp.swh;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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.*;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;
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.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.swh.models.LastVisitData;
import eu.dnetlib.dhp.swh.utils.SWHConstants;
import scala.Tuple2;
/**
* Creates action sets for Software Heritage data
*
* @author Serafeim Chatzopoulos
*/
public class PrepareSWHActionsets {
private static final Logger log = LoggerFactory.getLogger(PrepareSWHActionsets.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static <I extends Result> void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
PrepareSWHActionsets.class
.getResourceAsStream(
"/eu/dnetlib/dhp/swh/input_prepare_swh_actionsets.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("lastVisitsPath");
log.info("inputPath: {}", inputPath);
final String softwareInputPath = parser.get("softwareInputPath");
log.info("softwareInputPath: {}", softwareInputPath);
final String outputPath = parser.get("actionsetsPath");
log.info("outputPath: {}", outputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
JavaPairRDD<Text, Text> softwareRDD = prepareActionsets(spark, inputPath, softwareInputPath);
softwareRDD
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
});
}
private static Dataset<Row> loadSWHData(SparkSession spark, String inputPath) {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// read from file and transform to <origin, snapshotId> tuples
// Note: snapshot id is the SWH id for us
JavaRDD<Row> swhRDD = sc
.sequenceFile(inputPath, Text.class, Text.class)
.map(t -> t._2().toString())
.map(t -> OBJECT_MAPPER.readValue(t, LastVisitData.class))
.filter(t -> t.getOrigin() != null && t.getSnapshot() != null) // response from SWH API is empty if repo URL
// was not found
.map(item -> RowFactory.create(item.getOrigin(), item.getSnapshot()));
// convert RDD to 2-column DF
List<StructField> fields = Arrays
.asList(
DataTypes.createStructField("repoUrl", DataTypes.StringType, true),
DataTypes.createStructField("swhId", DataTypes.StringType, true));
StructType schema = DataTypes.createStructType(fields);
return spark.createDataFrame(swhRDD, schema);
}
private static Dataset<Row> loadGraphSoftwareData(SparkSession spark, String softwareInputPath) {
return spark
.read()
.textFile(softwareInputPath)
.map(
(MapFunction<String, Software>) t -> OBJECT_MAPPER.readValue(t, Software.class),
Encoders.bean(Software.class))
.filter(t -> t.getCodeRepositoryUrl() != null)
.select(col("id"), col("codeRepositoryUrl.value").as("repoUrl"));
}
private static <I extends Software> JavaPairRDD<Text, Text> prepareActionsets(SparkSession spark, String inputPath,
String softwareInputPath) {
Dataset<Row> swhDF = loadSWHData(spark, inputPath);
// swhDF.show(false);
Dataset<Row> graphSoftwareDF = loadGraphSoftwareData(spark, softwareInputPath);
// graphSoftwareDF.show(5);
Dataset<Row> joinedDF = graphSoftwareDF.join(swhDF, "repoUrl").select("id", "swhid");
// joinedDF.show(false);
return joinedDF.map((MapFunction<Row, Software>) row -> {
Software s = new Software();
// set openaire id
s.setId(row.getString(row.fieldIndex("id")));
// set swh id
Qualifier qualifier = OafMapperUtils
.qualifier(
SWHConstants.SWHID,
SWHConstants.SWHID_CLASSNAME,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES);
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
null,
false,
false,
ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER,
"");
s
.setPid(
Arrays
.asList(
OafMapperUtils
.structuredProperty(
String.format("swh:1:snp:%s", row.getString(row.fieldIndex("swhid"))),
qualifier,
dataInfo)));
// add SWH in the `collectedFrom` field
KeyValue kv = new KeyValue();
kv.setKey(SWHConstants.SWH_ID);
kv.setValue(SWHConstants.SWH_NAME);
s.setCollectedfrom(Arrays.asList(kv));
return s;
}, Encoders.bean(Software.class))
.toJavaRDD()
.map(p -> new AtomicAction(Software.class, p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
}

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package eu.dnetlib.dhp.swh.models;
import java.io.Serializable;
import com.cloudera.com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
@JsonIgnoreProperties(ignoreUnknown = true)
public class LastVisitData implements Serializable {
private String origin;
private String type;
private String date;
@JsonProperty("snapshot")
private String snapshotId;
private String status;
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
public String getDate() {
return date;
}
public void setDate(String date) {
this.date = date;
}
public String getSnapshot() {
return snapshotId;
}
public void setSnapshot(String snapshotId) {
this.snapshotId = snapshotId;
}
public String getStatus() {
return status;
}
public void setStatus(String status) {
this.status = status;
}
public String getOrigin() {
return origin;
}
public void setOrigin(String origin) {
this.origin = origin;
}
@Override
public String toString() {
return "LastVisitData{" +
"origin='" + origin + '\'' +
", type='" + type + '\'' +
", date='" + date + '\'' +
", snapshotId='" + snapshotId + '\'' +
", status='" + status + '\'' +
'}';
}
}

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dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/utils/SWHConnection.java Normal file
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package eu.dnetlib.dhp.swh.utils;
import java.util.HashMap;
import java.util.Map;
import org.apache.http.HttpHeaders;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class SWHConnection {
HttpConnector2 conn;
public SWHConnection(HttpClientParams clientParams, String accessToken) {
// set custom headers
Map<String, String> headers = new HashMap<String, String>() {
{
put(HttpHeaders.ACCEPT, "application/json");
if (accessToken != null) {
put(HttpHeaders.AUTHORIZATION, String.format("Bearer %s", accessToken));
}
}
};
clientParams.setHeaders(headers);
// create http connector
conn = new HttpConnector2(clientParams);
}
public String call(String url) throws CollectorException {
return conn.getInputSource(url);
}
}

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dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/utils/SWHConstants.java Normal file
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package eu.dnetlib.dhp.swh.utils;
public class SWHConstants {
public static final String SWH_LATEST_VISIT_URL = "https://archive.softwareheritage.org/api/1/origin/%s/visit/latest/";
public static final String SWH_ARCHIVE_URL = "https://archive.softwareheritage.org/api/1/origin/save/%s/url/%s/";
public static final String DEFAULT_VISIT_TYPE = "git";
public static final String VISIT_STATUS_NOT_FOUND = "not_found";
public static final String SWHID = "swhid";
public static final String SWHID_CLASSNAME = "Software Hash Identifier";
public static final String SWH_ID = "10|openaire____::dbfd07503aaa1ed31beed7dec942f3f4";
public static final String SWH_NAME = "Software Heritage";
}

95
dhp-workflows/dhp-swh/src/main/java/eu/dnetlib/dhp/swh/utils/SWHUtils.java Normal file
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package eu.dnetlib.dhp.swh.utils;
import static eu.dnetlib.dhp.common.Constants.*;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.Optional;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class SWHUtils {
private static final Logger log = LoggerFactory.getLogger(SWHUtils.class);
public static HttpClientParams getClientParams(ArgumentApplicationParser argumentParser) {
final HttpClientParams clientParams = new HttpClientParams();
clientParams
.setMaxNumberOfRetry(
Optional
.ofNullable(argumentParser.get(MAX_NUMBER_OF_RETRY))
.map(Integer::parseInt)
.orElse(HttpClientParams._maxNumberOfRetry));
log.info("maxNumberOfRetry is {}", clientParams.getMaxNumberOfRetry());
clientParams
.setRequestDelay(
Optional
.ofNullable(argumentParser.get(REQUEST_DELAY))
.map(Integer::parseInt)
.orElse(HttpClientParams._requestDelay));
log.info("requestDelay is {}", clientParams.getRequestDelay());
clientParams
.setRetryDelay(
Optional
.ofNullable(argumentParser.get(RETRY_DELAY))
.map(Integer::parseInt)
.orElse(HttpClientParams._retryDelay));
log.info("retryDelay is {}", clientParams.getRetryDelay());
clientParams
.setRequestMethod(
Optional
.ofNullable(argumentParser.get(REQUEST_METHOD))
.orElse(HttpClientParams._requestMethod));
log.info("requestMethod is {}", clientParams.getRequestMethod());
return clientParams;
}
public static BufferedReader getFileReader(FileSystem fs, Path inputPath) throws IOException {
FSDataInputStream inputStream = fs.open(inputPath);
return new BufferedReader(
new InputStreamReader(inputStream, StandardCharsets.UTF_8));
}
public static SequenceFile.Writer getSequenceFileWriter(FileSystem fs, String outputPath) throws IOException {
return SequenceFile
.createWriter(
fs.getConf(),
SequenceFile.Writer.file(new Path(outputPath)),
SequenceFile.Writer.keyClass(Text.class),
SequenceFile.Writer.valueClass(Text.class));
}
public static SequenceFile.Reader getSequenceFileReader(FileSystem fs, String inputPath) throws IOException {
Path filePath = new Path(inputPath);
SequenceFile.Reader.Option fileOption = SequenceFile.Reader.file(filePath);
return new SequenceFile.Reader(fs.getConf(), fileOption);
}
public static void appendToSequenceFile(SequenceFile.Writer fw, String keyStr, String valueStr) throws IOException {
Text key = new Text();
key.set(keyStr);
Text value = new Text();
value.set(valueStr);
fw.append(key, value);
}
}

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dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/input_archive_repository_urls.json Normal file
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[
{
"paramName": "n",
"paramLongName": "namenode",
"paramDescription": "the Name Node URI",
"paramRequired": true
},
{
"paramName": "lv",
"paramLongName": "lastVisitsPath",
"paramDescription": "the URL where to store last visits data",
"paramRequired": true
},
{
"paramName": "arp",
"paramLongName": "archiveRequestsPath",
"paramDescription": "the URL where to store the responses of the archive requests",
"paramRequired": true
},
{
"paramName": "mnr",
"paramLongName": "maxNumberOfRetry",
"paramDescription": "the maximum number of admitted connection retries",
"paramRequired": false
},
{
"paramName": "rqd",
"paramLongName": "requestDelay",
"paramDescription": "the delay (ms) between requests",
"paramRequired": false
},
{
"paramName": "rtd",
"paramLongName": "retryDelay",
"paramDescription": "the delay (ms) between retries",
"paramRequired": false
},
{
"paramName": "rm",
"paramLongName": "requestMethod",
"paramDescription": "the method of the requests to perform",
"paramRequired": false
},
{
"paramName": "atid",
"paramLongName": "archiveThresholdInDays",
"paramDescription": "the thershold (in days) required to issue an archive request",
"paramRequired": false
},
{
"paramName": "aat",
"paramLongName": "apiAccessToken",
"paramDescription": "the API access token of the SWH API",
"paramRequired": false
}
]

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dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/input_collect_last_visit_repository_data.json Normal file
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[
{
"paramName": "n",
"paramLongName": "namenode",
"paramDescription": "the Name Node URI",
"paramRequired": true
},
{
"paramName": "scr",
"paramLongName": "softwareCodeRepositoryURLs",
"paramDescription": "the URL from where to read software repository URLs",
"paramRequired": true
},
{
"paramName": "lv",
"paramLongName": "lastVisitsPath",
"paramDescription": "the URL where to store last visits data",
"paramRequired": true
},
{
"paramName": "mnr",
"paramLongName": "maxNumberOfRetry",
"paramDescription": "the maximum number of admitted connection retries",
"paramRequired": false
},
{
"paramName": "rqd",
"paramLongName": "requestDelay",
"paramDescription": "the delay (ms) between requests",
"paramRequired": false
},
{
"paramName": "rtd",
"paramLongName": "retryDelay",
"paramDescription": "the delay (ms) between retries",
"paramRequired": false
},
{
"paramName": "rm",
"paramLongName": "requestMethod",
"paramDescription": "the method of the requests to perform",
"paramRequired": false
},
{
"paramName": "aat",
"paramLongName": "apiAccessToken",
"paramDescription": "the API access token of the SWH API",
"paramRequired": false
}
]

32
dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/input_collect_software_repository_urls.json Normal file
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[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "scr",
"paramLongName": "softwareCodeRepositoryURLs",
"paramDescription": "the URL where to store software repository URLs",
"paramRequired": true
},
{
"paramName": "db",
"paramLongName": "hiveDbName",
"paramDescription": "the target hive database name",
"paramRequired": true
},
{
"paramName": "hmu",
"paramLongName": "hiveMetastoreUris",
"paramDescription": "the hive metastore uris",
"paramRequired": true
},
{
"paramName": "slim",
"paramLongName": "softwareLimit",
"paramDescription": "limit on the number of software repo URL to fetch",
"paramRequired": false
}
]

26
dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/input_prepare_swh_actionsets.json Normal file
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[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "lv",
"paramLongName": "lastVisitsPath",
"paramDescription": "the URL where to store last visits data",
"paramRequired": true
},
{
"paramName": "ap",
"paramLongName": "actionsetsPath",
"paramDescription": "the URL path where to store actionsets",
"paramRequired": true
},
{
"paramName": "sip",
"paramLongName": "softwareInputPath",
"paramDescription": "the URL path of the software in the graph",
"paramRequired": true
}
]

19
dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/job.properties Normal file
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# hive
hiveDbName=openaire_prod_20230914
# input/output files
softwareCodeRepositoryURLs=${workingDir}/1_code_repo_urls.csv
lastVisitsPath=${workingDir}/2_last_visits.seq
archiveRequestsPath=${workingDir}/3_archive_requests.seq
actionsetsPath=${workingDir}/4_actionsets
graphPath=/tmp/prod_provision/graph/18_graph_blacklisted
apiAccessToken=eyJhbGciOiJIUzI1NiIsInR5cCIgOiAiSldUIiwia2lkIiA6ICJhMTMxYTQ1My1hM2IyLTQwMTUtODQ2Ny05MzAyZjk3MTFkOGEifQ.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.XHj1VIZu1dZ4Ej32-oU84mFmaox9cLNjXosNxwZM0Xs
maxNumberOfRetry=2
retryDelay=1
requestDelay=100
softwareLimit=500
resume=collect-software-repository-urls

54
dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/oozie_app/config-default.xml Normal file
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<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
</property>
<property>
<name>spark2EventLogDir</name>
<value>/user/spark/spark2ApplicationHistory</value>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<value>spark2</value>
</property>
<property>
<name>resourceManager</name>
<value>http://iis-cdh5-test-m2.ocean.icm.edu.pl:8088/cluster</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
<property>
<name>sparkSqlWarehouseDir</name>
<value>/user/hive/warehouse</value>
</property>
</configuration>

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dhp-workflows/dhp-swh/src/main/resources/eu/dnetlib/dhp/swh/oozie_app/workflow.xml Normal file
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<workflow-app name="Software-Heritage-Integration-Workflow" xmlns="uri:oozie:workflow:0.5">
<!-- Custom parameters -->
<parameters>
<property>
<name>hiveDbName</name>
<description>The name of the Hive DB to be used</description>
</property>
<property>
<name>softwareCodeRepositoryURLs</name>
<description>The path in the HDFS to save the software repository URLs</description>
</property>
<property>
<name>lastVisitsPath</name>
<description>The path in the HDFS to save the responses of the last visit requests</description>
</property>
<property>
<name>archiveRequestsPath</name>
<description>The path in the HDFS to save the responses of the archive requests</description>
</property>
<property>
<name>actionsetsPath</name>
<description>The path in the HDFS to save the action sets</description>
</property>
<property>
<name>graphPath</name>
<description>The path in the HDFS to the base folder of the graph</description>
</property>
<property>
<name>maxNumberOfRetry</name>
<description>Max number of retries for failed API calls</description>
</property>
<property>
<name>retryDelay</name>
<description>Retry delay for failed requests (in sec)</description>
</property>
<property>
<name>requestDelay</name>
<description>Delay between API requests (in ms)</description>
</property>
<property>
<name>apiAccessToken</name>
<description>The API Key of the SWH API</description>
</property>
<property>
<name>softwareLimit</name>
<description>Limit on the number of repo URLs to use (Optional); for debug purposes</description>
</property>
<property>
<name>resumeFrom</name>
<description>Variable that indicates the step to start from</description>
</property>
</parameters>
<!-- Global variables -->
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
<property>
<name>actionsetsPath</name>
<value>${actionsetsPath}</value>
</property>
<property>
<name>apiAccessToken</name>
<value>${apiAccessToken}</value>
</property>
</configuration>
</global>
<start to="startFrom"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<decision name="startFrom">
<switch>
<case to="collect-software-repository-urls">${wf:conf('resumeFrom') eq 'collect-software-repository-urls'}</case>
<case to="create-swh-actionsets">${wf:conf('resumeFrom') eq 'create-swh-actionsets'}</case>
<default to="collect-software-repository-urls"/>
</switch>
</decision>
<action name="collect-software-repository-urls">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Collect software repository URLs</name>
<class>eu.dnetlib.dhp.swh.CollectSoftwareRepositoryURLs</class>
<jar>dhp-swh-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--softwareCodeRepositoryURLs</arg><arg>${softwareCodeRepositoryURLs}</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--softwareLimit</arg><arg>${softwareLimit}</arg>
</spark>
<ok to="collect-repository-last-visit-data"/>
<error to="Kill"/>
</action>
<action name="collect-repository-last-visit-data">
<java>
<main-class>eu.dnetlib.dhp.swh.CollectLastVisitRepositoryData</main-class>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--softwareCodeRepositoryURLs</arg><arg>${softwareCodeRepositoryURLs}</arg>
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
<arg>--maxNumberOfRetry</arg><arg>${maxNumberOfRetry}</arg>
<arg>--requestDelay</arg><arg>${requestDelay}</arg>
<arg>--retryDelay</arg><arg>${retryDelay}</arg>
<arg>--requestMethod</arg><arg>GET</arg>
<arg>--apiAccessToken</arg><arg>${apiAccessToken}</arg>
</java>
<ok to="archive-repository-urls"/>
<error to="Kill"/>
</action>
<action name="archive-repository-urls">
<java>
<main-class>eu.dnetlib.dhp.swh.ArchiveRepositoryURLs</main-class>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
<arg>--archiveRequestsPath</arg><arg>${archiveRequestsPath}</arg>
<arg>--archiveThresholdInDays</arg><arg>365</arg>
<arg>--maxNumberOfRetry</arg><arg>${maxNumberOfRetry}</arg>
<arg>--requestDelay</arg><arg>${requestDelay}</arg>
<arg>--retryDelay</arg><arg>${retryDelay}</arg>
<arg>--requestMethod</arg><arg>POST</arg>
<arg>--apiAccessToken</arg><arg>${apiAccessToken}</arg>
</java>
<ok to="create-swh-actionsets"/>
<error to="Kill"/>
</action>
<action name="create-swh-actionsets">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Create actionsets for SWH data</name>
<class>eu.dnetlib.dhp.swh.PrepareSWHActionsets</class>
<jar>dhp-swh-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
<arg>--actionsetsPath</arg><arg>${actionsetsPath}</arg>
<arg>--softwareInputPath</arg><arg>${graphPath}/software</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

38
dhp-workflows/dhp-swh/src/test/java/eu/dnetlib/dhp/swh/ArchiveRepositoryURLsTest.java Normal file
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@ -0,0 +1,38 @@
package eu.dnetlib.dhp.swh;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.text.ParseException;
import java.util.Arrays;
import org.apache.hadoop.fs.FileSystem;
import org.junit.jupiter.api.Test;
import eu.dnetlib.dhp.swh.utils.SWHUtils;
public class ArchiveRepositoryURLsTest {
@Test
void testArchive() throws IOException, ParseException {
String inputPath = getClass()
.getResource("/eu/dnetlib/dhp/swh/lastVisitDataToArchive.csv")
.getPath();
File file = new File(inputPath);
FileReader fr = new FileReader(file);
BufferedReader br = new BufferedReader(fr); // creates a buffering character input stream
String line;
while ((line = br.readLine()) != null) {
String[] tokens = line.split("\t");
String response = ArchiveRepositoryURLs.handleRecord(tokens[0], tokens[1], 365);
System.out.println(tokens[0] + "\t" + response);
System.out.println();
}
fr.close();
}
}

97
dhp-workflows/dhp-swh/src/test/java/eu/dnetlib/dhp/swh/PrepareSWHActionsetsTest.java Normal file
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@ -0,0 +1,97 @@
package eu.dnetlib.dhp.swh;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
public class PrepareSWHActionsetsTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(PrepareSWHActionsetsTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(PrepareSWHActionsetsTest.class.getSimpleName());
log.info("Using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(PrepareSWHActionsetsTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(PrepareSWHActionsetsTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testRun() throws Exception {
String lastVisitsPath = getClass()
.getResource("/eu/dnetlib/dhp/swh/last_visits_data.seq")
.getPath();
String outputPath = workingDir.toString() + "/actionSet";
String softwareInputPath = getClass()
.getResource("/eu/dnetlib/dhp/swh/software.json.gz")
.getPath();
PrepareSWHActionsets
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-lastVisitsPath", lastVisitsPath,
"-softwareInputPath", softwareInputPath,
"-actionsetsPath", outputPath
});
}
}

58
dhp-workflows/dhp-swh/src/test/java/eu/dnetlib/dhp/swh/SWHConnectionTest.java Normal file
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package eu.dnetlib.dhp.swh;
import java.io.IOException;
import java.net.MalformedURLException;
import java.net.URL;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
import eu.dnetlib.dhp.swh.utils.SWHConnection;
import eu.dnetlib.dhp.swh.utils.SWHConstants;
//import org.apache.hadoop.hdfs.MiniDFSCluster;
public class SWHConnectionTest {
private static final Logger log = LoggerFactory.getLogger(SWHConnectionTest.class);
@Test
void testGetCall() throws IOException {
HttpClientParams clientParams = new HttpClientParams();
clientParams.setRequestMethod("GET");
SWHConnection swhConnection = new SWHConnection(clientParams, null);
String repoUrl = "https://github.com/stanford-futuredata/FAST";
URL url = new URL(String.format(SWHConstants.SWH_LATEST_VISIT_URL, repoUrl));
String response = null;
try {
response = swhConnection.call(url.toString());
} catch (CollectorException e) {
System.out.println("Error in request: " + url);
}
System.out.println(response);
}
@Test
void testPostCall() throws MalformedURLException {
HttpClientParams clientParams = new HttpClientParams();
clientParams.setRequestMethod("POST");
SWHConnection swhConnection = new SWHConnection(clientParams, null);
String repoUrl = "https://github.com/stanford-futuredata/FAST";
URL url = new URL(String.format(SWHConstants.SWH_ARCHIVE_URL, SWHConstants.DEFAULT_VISIT_TYPE, repoUrl));
String response = null;
try {
response = swhConnection.call(url.toString());
} catch (CollectorException e) {
System.out.println("Error in request: " + url);
}
System.out.println(response);
}
}

7
dhp-workflows/dhp-swh/src/test/resources/eu/dnetlib/dhp/swh/lastVisitDataToArchive.csv Normal file
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@ -0,0 +1,7 @@
https://bitbucket.org/samskillman/yt-stokes {"origin":"https://bitbucket.org/samskillman/yt-stokes","visit":43,"date":"2021-09-13T21:59:27.125171+00:00","status":"failed","snapshot":null,"type":"hg","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://bitbucket.org/samskillman/yt-stokes/get/","snapshot_url":null}
https://github.com/bioinsilico/BIPSPI {"origin":"https://github.com/bioinsilico/BIPSPI","visit":1,"date":"2020-03-18T14:50:21.541822+00:00","status":"full","snapshot":"c6c69d2cd73ce89811448da5f031611df6f63bdb","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/bioinsilico/BIPSPI/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/c6c69d2cd73ce89811448da5f031611df6f63bdb/"}
https://github.com/mloop/kdiff-type1-error-rate/blob/master/analysis/simulation.R {}
https://github.com/schwanbeck/YSMR {"origin":"https://github.com/schwanbeck/YSMR","visit":6,"date":"2023-08-02T15:25:02.650676+00:00","status":"full","snapshot":"a9d1c5f0bca2def198b89f65bc9f7da3be8439ed","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/schwanbeck/YSMR/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/a9d1c5f0bca2def198b89f65bc9f7da3be8439ed/"}
https://github.com/lvclark/TASSELGBS_combine {"origin":"https://github.com/lvclark/TASSELGBS_combine","visit":1,"date":"2020-04-12T20:44:09.405589+00:00","status":"full","snapshot":"ffa6fefd3f5becefbea9fe0e6d5d93859c95c071","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/lvclark/TASSELGBS_combine/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/ffa6fefd3f5becefbea9fe0e6d5d93859c95c071/"}
https://github.com/PRIDE-Toolsuite/inspector-example-files {"origin":"https://github.com/PRIDE-Toolsuite/inspector-example-files","visit":12,"date":"2021-01-25T08:54:13.394674+00:00","status":"full","snapshot":"0b56eb0ad07cf778df6dabefc4b73636e0ae8b37","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/PRIDE-Toolsuite/inspector-example-files/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/0b56eb0ad07cf778df6dabefc4b73636e0ae8b37/"}
https://bitbucket.org/matwey/chelyabinsk {"origin":"https://bitbucket.org/matwey/chelyabinsk","visit":6,"date":"2021-09-24T19:32:43.322909+00:00","status":"full","snapshot":"215913858c3ee0e61e1aaea18241c5ee006da1b0","type":"hg","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://bitbucket.org/matwey/chelyabinsk/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/215913858c3ee0e61e1aaea18241c5ee006da1b0/"}
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1
dhp-workflows/pom.xml
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@ -38,6 +38,7 @@
<module>dhp-broker-events</module>
<module>dhp-doiboost</module>
<module>dhp-impact-indicators</module>
<module>dhp-swh</module>
</modules>
<pluginRepositories>

12
pom.xml
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@ -112,6 +112,16 @@
<url>https://maven.d4science.org/nexus/content/repositories/dnet-deps</url>
<layout>default</layout>
</repository>
<repository>
<id>maven-restlet</id>
<name>Restlet repository</name>
<url>https://maven.restlet.talend.com</url>
</repository>
<repository>
<id>conjars</id>
<name>conjars</name>
<url>https://conjars.wensel.net/repo/</url>
</repository>
</repositories>
<dependencies>
@ -878,7 +888,7 @@
<mockito-core.version>3.3.3</mockito-core.version>
<mongodb.driver.version>3.4.2</mongodb.driver.version>
<vtd.version>[2.12,3.0)</vtd.version>
<dhp-schemas.version>[3.17.1]</dhp-schemas.version>
<dhp-schemas.version>[3.17.2]</dhp-schemas.version>
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>