forked from D-Net/dnet-hadoop
Merge pull request '[Affiliation Propagation]' (#162) from affiliationPropagation into beta
Reviewed-on: D-Net/dnet-hadoop#162
This commit is contained in:
commit
e30e5ac8a8
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@ -48,6 +48,12 @@
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<groupId>io.github.classgraph</groupId>
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<artifactId>classgraph</artifactId>
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</dependency>
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<dependency>
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<groupId>eu.dnetlib.dhp</groupId>
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<artifactId>dhp-aggregation</artifactId>
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<version>1.2.4-SNAPSHOT</version>
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<scope>compile</scope>
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</dependency>
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</dependencies>
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@ -0,0 +1,26 @@
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package eu.dnetlib.dhp;
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import java.io.Serializable;
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import java.util.ArrayList;
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public class KeyValueSet implements Serializable {
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private String key;
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private ArrayList<String> valueSet;
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public String getKey() {
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return key;
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}
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public void setKey(String key) {
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this.key = key;
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}
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public ArrayList<String> getValueSet() {
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return valueSet;
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}
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public void setValueSet(ArrayList<String> valueSet) {
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this.valueSet = valueSet;
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}
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}
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@ -1,6 +1,7 @@
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package eu.dnetlib.dhp;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Optional;
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@ -55,6 +56,9 @@ public class PropagationConstant {
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public static final String PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID = "result:organization:instrepo";
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public static final String PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME = "Propagation of affiliation to result collected from datasources of type institutional repository";
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public static final String PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID = "result:organization:semrel";
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public static final String PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_NAME = "Propagation of affiliation to result through sematic relations";
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public static final String PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID = "result:project:semrel";
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public static final String PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME = "Propagation of result to project through semantic relation";
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@ -67,6 +71,13 @@ public class PropagationConstant {
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID = "authorpid:result";
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME = "Propagation of authors pid to result through semantic relations";
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public static final String ITERATION_ONE = "ExitAtFirstIteration";
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public static final String ITERATION_TWO = "ExitAtSecondIteration";
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public static final String ITERATION_THREE = "ExitAtThirdIteration";
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public static final String ITERATION_FOUR = "ExitAtFourthIteration";
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public static final String ITERATION_FIVE = "ExitAtFifthIteration";
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public static final String ITERATION_NO_PARENT = "ExitAtNoFirstParentReached";
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static final String cfHbforResultQuery = "select distinct r.id, inst.collectedfrom.key cf, inst.hostedby.key hb "
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@ -127,6 +138,39 @@ public class PropagationConstant {
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return pa;
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}
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public static ArrayList<Relation> getOrganizationRelationPair(String orgId,
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String resultId,
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String classID,
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String className
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) {
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ArrayList<Relation> newRelations = new ArrayList();
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newRelations
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.add(
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getRelation(
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orgId,
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resultId,
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ModelConstants.IS_AUTHOR_INSTITUTION_OF,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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PROPAGATION_DATA_INFO_TYPE,
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classID,
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className));
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newRelations
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.add(
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getRelation(
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resultId,
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orgId,
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ModelConstants.HAS_AUTHOR_INSTITUTION,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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PROPAGATION_DATA_INFO_TYPE,
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classID,
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className));
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return newRelations;
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}
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public static Relation getRelation(
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String source,
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String target,
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@ -22,6 +22,7 @@ import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.KeyValueSet;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Datasource;
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@ -124,7 +125,7 @@ public class PrepareResultInstRepoAssociation {
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private static void prepareAlreadyLinkedAssociation(
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SparkSession spark, String alreadyLinkedPath) {
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String query = "Select source resultId, collect_set(target) organizationSet "
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String query = "Select source key, collect_set(target) valueSet "
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+ "from relation "
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+ "where datainfo.deletedbyinference = false "
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+ "and lower(relClass) = '"
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@ -134,7 +135,7 @@ public class PrepareResultInstRepoAssociation {
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spark
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.sql(query)
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.as(Encoders.bean(ResultOrganizationSet.class))
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.as(Encoders.bean(KeyValueSet.class))
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// TODO retry to stick with datasets
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.toJavaRDD()
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.map(r -> OBJECT_MAPPER.writeValueAsString(r))
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@ -1,26 +0,0 @@
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package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
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import java.io.Serializable;
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import java.util.ArrayList;
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public class ResultOrganizationSet implements Serializable {
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private String resultId;
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private ArrayList<String> organizationSet;
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public String getResultId() {
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return resultId;
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}
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public void setResultId(String resultId) {
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this.resultId = resultId;
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}
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public ArrayList<String> getOrganizationSet() {
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return organizationSet;
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}
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public void setOrganizationSet(ArrayList<String> organizationSet) {
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this.organizationSet = organizationSet;
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}
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}
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@ -18,6 +18,7 @@ import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.KeyValueSet;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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@ -28,7 +29,7 @@ public class SparkResultToOrganizationFromIstRepoJob {
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private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromIstRepoJob.class);
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private static final String RESULT_ORGANIZATIONSET_QUERY = "SELECT id resultId, collect_set(organizationId) organizationSet "
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private static final String RESULT_ORGANIZATIONSET_QUERY = "SELECT id key, collect_set(organizationId) valueSet "
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+ "FROM ( SELECT id, organizationId "
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+ "FROM rels "
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+ "JOIN cfhb "
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@ -107,14 +108,14 @@ public class SparkResultToOrganizationFromIstRepoJob {
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Dataset<DatasourceOrganization> dsOrg = readPath(spark, datasourceorganization, DatasourceOrganization.class);
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Dataset<ResultOrganizationSet> potentialUpdates = getPotentialRelations(spark, inputPath, clazz, dsOrg);
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Dataset<KeyValueSet> potentialUpdates = getPotentialRelations(spark, inputPath, clazz, dsOrg);
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Dataset<ResultOrganizationSet> alreadyLinked = readPath(spark, alreadyLinkedPath, ResultOrganizationSet.class);
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Dataset<KeyValueSet> alreadyLinked = readPath(spark, alreadyLinkedPath, KeyValueSet.class);
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potentialUpdates
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.joinWith(
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alreadyLinked,
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potentialUpdates.col("resultId").equalTo(alreadyLinked.col("resultId")),
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potentialUpdates.col("key").equalTo(alreadyLinked.col("key")),
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"left_outer")
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.flatMap(createRelationFn(), Encoders.bean(Relation.class))
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.write()
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@ -123,49 +124,34 @@ public class SparkResultToOrganizationFromIstRepoJob {
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.json(outputPath);
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}
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private static FlatMapFunction<Tuple2<ResultOrganizationSet, ResultOrganizationSet>, Relation> createRelationFn() {
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private static FlatMapFunction<Tuple2<KeyValueSet, KeyValueSet>, Relation> createRelationFn() {
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return value -> {
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List<Relation> newRelations = new ArrayList<>();
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ResultOrganizationSet potentialUpdate = value._1();
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Optional<ResultOrganizationSet> alreadyLinked = Optional.ofNullable(value._2());
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List<String> organizations = potentialUpdate.getOrganizationSet();
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KeyValueSet potentialUpdate = value._1();
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Optional<KeyValueSet> alreadyLinked = Optional.ofNullable(value._2());
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List<String> organizations = potentialUpdate.getValueSet();
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alreadyLinked
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.ifPresent(
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resOrg -> resOrg
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.getOrganizationSet()
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.getValueSet()
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.forEach(organizations::remove));
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String resultId = potentialUpdate.getResultId();
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String resultId = potentialUpdate.getKey();
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organizations
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.forEach(
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orgId -> {
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newRelations
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.add(
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getRelation(
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orgId -> newRelations
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.addAll(
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getOrganizationRelationPair(
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orgId,
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resultId,
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ModelConstants.IS_AUTHOR_INSTITUTION_OF,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
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newRelations
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.add(
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getRelation(
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resultId,
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orgId,
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ModelConstants.HAS_AUTHOR_INSTITUTION,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
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});
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME))
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);
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return newRelations.iterator();
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};
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}
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private static <R extends Result> Dataset<ResultOrganizationSet> getPotentialRelations(
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private static <R extends Result> Dataset<KeyValueSet> getPotentialRelations(
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SparkSession spark,
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String inputPath,
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Class<R> resultClazz,
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|
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@ -179,7 +165,7 @@ public class SparkResultToOrganizationFromIstRepoJob {
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return spark
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.sql(RESULT_ORGANIZATIONSET_QUERY)
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.as(Encoders.bean(ResultOrganizationSet.class));
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.as(Encoders.bean(KeyValueSet.class));
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}
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}
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|
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@ -0,0 +1,16 @@
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package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
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import java.io.Serializable;
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public class Leaves implements Serializable {
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private String value;
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public String getValue() {
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return value;
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}
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public void setValue(String value) {
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this.value = value;
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}
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}
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|
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@ -0,0 +1,154 @@
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package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import java.io.Serializable;
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import java.util.*;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.*;
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import org.apache.spark.sql.*;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.KeyValueSet;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import scala.Tuple2;
|
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|
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/**
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* Searches for all the association between result and organization already existing in the graph
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* Creates also the parenthood hierarchy from the organizations
|
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*/
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public class PrepareInfo implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareInfo.class);
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|
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// associate orgs with all their parent
|
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private static final String ORGANIZATION_ORGANIZATION_QUERY = "SELECT target key, collect_set(source) as valueSet " +
|
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"FROM relation " +
|
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"WHERE lower(relclass) = '" + ModelConstants.IS_PARENT_OF.toLowerCase() +
|
||||
"' and datainfo.deletedbyinference = false " +
|
||||
"GROUP BY target";
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|
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//associates results with all the orgs they are affiliated to
|
||||
private static final String RESULT_ORGANIZATION_QUERY = "SELECT source key, collect_set(target) as valueSet " +
|
||||
"FROM relation " +
|
||||
"WHERE lower(relclass) = '" + ModelConstants.HAS_AUTHOR_INSTITUTION.toLowerCase() +
|
||||
"' and datainfo.deletedbyinference = false " +
|
||||
"GROUP BY source";
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils
|
||||
.toString(
|
||||
SparkResultToOrganizationFromIstRepoJob.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/input_preparation_parameter.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
String graphPath = parser.get("graphPath");
|
||||
log.info("graphPath: {}", graphPath);
|
||||
|
||||
final String leavesPath = parser.get("leavesPath");
|
||||
log.info("leavesPath: {}", leavesPath);
|
||||
|
||||
final String childParentPath = parser.get("childParentPath");
|
||||
log.info("childParentPath: {}", childParentPath);
|
||||
|
||||
final String resultOrganizationPath = parser.get("resultOrgPath");
|
||||
log.info("resultOrganizationPath: {}", resultOrganizationPath);
|
||||
|
||||
final String relationPath = parser.get("relationPath");
|
||||
log.info("relationPath: {}", relationPath);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
|
||||
runWithSparkHiveSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> prepareInfo(
|
||||
spark,
|
||||
graphPath,
|
||||
childParentPath,
|
||||
leavesPath,
|
||||
resultOrganizationPath,
|
||||
relationPath));
|
||||
}
|
||||
|
||||
private static void prepareInfo(SparkSession spark, String inputPath, String childParentOrganizationPath,
|
||||
String currentIterationPath, String resultOrganizationPath, String relationPath) {
|
||||
Dataset<Relation> relation = readPath(spark, inputPath + "/relation", Relation.class);
|
||||
relation.createOrReplaceTempView("relation");
|
||||
|
||||
spark
|
||||
.sql(ORGANIZATION_ORGANIZATION_QUERY)
|
||||
.as(Encoders.bean(KeyValueSet.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(childParentOrganizationPath);
|
||||
|
||||
spark
|
||||
.sql(RESULT_ORGANIZATION_QUERY)
|
||||
.as(Encoders.bean(KeyValueSet.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(resultOrganizationPath);
|
||||
|
||||
relation
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
|
||||
r.getRelClass().equals(ModelConstants.HAS_AUTHOR_INSTITUTION))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression","gzip")
|
||||
.json(relationPath);
|
||||
|
||||
Dataset<String> children = spark
|
||||
.sql(
|
||||
"Select distinct target as child from relation where " +
|
||||
"lower(relclass)='" + ModelConstants.IS_PARENT_OF.toLowerCase() +
|
||||
"' and datainfo.deletedbyinference = false")
|
||||
.as(Encoders.STRING());
|
||||
|
||||
Dataset<String> parent = spark
|
||||
.sql(
|
||||
"Select distinct source as parent from relation " +
|
||||
"where lower(relclass)='" + ModelConstants.IS_PARENT_OF.toLowerCase() +
|
||||
"' and datainfo.deletedbyinference = false")
|
||||
.as(Encoders.STRING());
|
||||
|
||||
// takes from the join the entities having only the left hand side: the leaves. Saves them
|
||||
children
|
||||
.joinWith(parent, children.col("child").equalTo(parent.col("parent")), "left")
|
||||
.map((MapFunction<Tuple2<String, String>, String>) value -> {
|
||||
if (Optional.ofNullable(value._2()).isPresent()) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return value._1();
|
||||
}, Encoders.STRING())
|
||||
.filter(Objects::nonNull)
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.json(currentIterationPath);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,77 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import org.apache.spark.util.LongAccumulator;
|
||||
|
||||
public class PropagationCounter implements Serializable {
|
||||
private LongAccumulator iterationOne;
|
||||
private LongAccumulator iterationTwo;
|
||||
private LongAccumulator iterationThree;
|
||||
private LongAccumulator iterationFour;
|
||||
private LongAccumulator iterationFive;
|
||||
private LongAccumulator notReachedFirstParent;
|
||||
|
||||
public PropagationCounter() {
|
||||
}
|
||||
|
||||
public PropagationCounter(LongAccumulator iterationOne, LongAccumulator iterationTwo,
|
||||
LongAccumulator iterationThree, LongAccumulator iterationFour, LongAccumulator iterationFive,
|
||||
LongAccumulator notReachedFirstParent) {
|
||||
this.iterationOne = iterationOne;
|
||||
this.iterationTwo = iterationTwo;
|
||||
this.iterationThree = iterationThree;
|
||||
this.iterationFour = iterationFour;
|
||||
this.iterationFive = iterationFive;
|
||||
this.notReachedFirstParent = notReachedFirstParent;
|
||||
}
|
||||
|
||||
public LongAccumulator getIterationOne() {
|
||||
return iterationOne;
|
||||
}
|
||||
|
||||
public void setIterationOne(LongAccumulator iterationOne) {
|
||||
this.iterationOne = iterationOne;
|
||||
}
|
||||
|
||||
public LongAccumulator getIterationTwo() {
|
||||
return iterationTwo;
|
||||
}
|
||||
|
||||
public void setIterationTwo(LongAccumulator iterationTwo) {
|
||||
this.iterationTwo = iterationTwo;
|
||||
}
|
||||
|
||||
public LongAccumulator getIterationThree() {
|
||||
return iterationThree;
|
||||
}
|
||||
|
||||
public void setIterationThree(LongAccumulator iterationThree) {
|
||||
this.iterationThree = iterationThree;
|
||||
}
|
||||
|
||||
public LongAccumulator getIterationFour() {
|
||||
return iterationFour;
|
||||
}
|
||||
|
||||
public void setIterationFour(LongAccumulator iterationFour) {
|
||||
this.iterationFour = iterationFour;
|
||||
}
|
||||
|
||||
public LongAccumulator getIterationFive() {
|
||||
return iterationFive;
|
||||
}
|
||||
|
||||
public void setIterationFive(LongAccumulator iterationFive) {
|
||||
this.iterationFive = iterationFive;
|
||||
}
|
||||
|
||||
public LongAccumulator getNotReachedFirstParent() {
|
||||
return notReachedFirstParent;
|
||||
}
|
||||
|
||||
public void setNotReachedFirstParent(LongAccumulator notReachedFirstParent) {
|
||||
this.notReachedFirstParent = notReachedFirstParent;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,206 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.Arrays;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.function.FlatMapFunction;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.api.java.function.MapGroupsFunction;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.apache.spark.util.LongAccumulator;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import eu.dnetlib.dhp.KeyValueSet;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
|
||||
public class SparkResultToOrganizationFromSemRel implements Serializable {
|
||||
private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromSemRel.class);
|
||||
private static final int MAX_ITERATION = 5;
|
||||
public static final String NEW_RELATION_PATH = "/newRelation";
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils
|
||||
.toString(
|
||||
SparkResultToOrganizationFromIstRepoJob.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/input_propagation_parameter.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||
|
||||
String relationPath = parser.get("relationPath");
|
||||
log.info("relationPath: {}", relationPath);
|
||||
|
||||
final String outputPath = parser.get("outputPath");
|
||||
log.info("outputPath: {}", outputPath);
|
||||
|
||||
final String leavesPath = parser.get("leavesPath");
|
||||
log.info("leavesPath: {}", leavesPath);
|
||||
|
||||
final String childParentPath = parser.get("childParentPath");
|
||||
log.info("childParentPath: {}", childParentPath);
|
||||
|
||||
final String resultOrganizationPath = parser.get("resultOrgPath");
|
||||
log.info("resultOrganizationPath: {}", resultOrganizationPath);
|
||||
|
||||
final String workingPath = parser.get("workingDir");
|
||||
log.info("workingPath: {}", workingPath);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
|
||||
runWithSparkHiveSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> execPropagation(
|
||||
spark,
|
||||
leavesPath,
|
||||
childParentPath,
|
||||
resultOrganizationPath,
|
||||
relationPath,
|
||||
workingPath,
|
||||
outputPath));
|
||||
}
|
||||
|
||||
public static void execPropagation(SparkSession spark,
|
||||
String leavesPath,
|
||||
String childParentPath,
|
||||
String resultOrganizationPath,
|
||||
String graphPath,
|
||||
String workingPath,
|
||||
String outputPath) {
|
||||
|
||||
final LongAccumulator iterationOne = spark.sparkContext().longAccumulator(ITERATION_ONE);
|
||||
final LongAccumulator iterationTwo = spark.sparkContext().longAccumulator(ITERATION_TWO);
|
||||
final LongAccumulator iterationThree = spark.sparkContext().longAccumulator(ITERATION_THREE);
|
||||
final LongAccumulator iterationFour = spark.sparkContext().longAccumulator(ITERATION_FOUR);
|
||||
final LongAccumulator iterationFive = spark.sparkContext().longAccumulator(ITERATION_FIVE);
|
||||
final LongAccumulator notReachedFirstParent = spark.sparkContext().longAccumulator(ITERATION_NO_PARENT);
|
||||
|
||||
final PropagationCounter propagationCounter = new PropagationCounter(iterationOne,
|
||||
iterationTwo,
|
||||
iterationThree,
|
||||
iterationFour,
|
||||
iterationFive,
|
||||
notReachedFirstParent);
|
||||
|
||||
doPropagate(
|
||||
spark, leavesPath, childParentPath, resultOrganizationPath, graphPath,
|
||||
workingPath, outputPath, propagationCounter);
|
||||
|
||||
}
|
||||
|
||||
private static void doPropagate(SparkSession spark, String leavesPath, String childParentPath,
|
||||
String resultOrganizationPath, String graphPath, String workingPath, String outputPath,
|
||||
PropagationCounter propagationCounter) {
|
||||
int iteration = 0;
|
||||
long leavesCount;
|
||||
|
||||
do {
|
||||
iteration++;
|
||||
StepActions
|
||||
.execStep(
|
||||
spark, graphPath, workingPath + NEW_RELATION_PATH,
|
||||
leavesPath, childParentPath, resultOrganizationPath);
|
||||
StepActions
|
||||
.prepareForNextStep(
|
||||
spark, workingPath + NEW_RELATION_PATH, resultOrganizationPath, leavesPath,
|
||||
childParentPath, workingPath + "/leaves", workingPath + "/resOrg");
|
||||
moveOutput(spark, workingPath, leavesPath, resultOrganizationPath);
|
||||
leavesCount = readPath(spark, leavesPath, Leaves.class).count();
|
||||
} while (leavesCount > 0 && iteration < MAX_ITERATION);
|
||||
|
||||
if (leavesCount == 0) {
|
||||
switch (String.valueOf(iteration)) {
|
||||
case "1":
|
||||
propagationCounter.getIterationOne().add(1);
|
||||
break;
|
||||
case "2":
|
||||
propagationCounter.getIterationTwo().add(1);
|
||||
break;
|
||||
case "3":
|
||||
propagationCounter.getIterationThree().add(1);
|
||||
break;
|
||||
case "4":
|
||||
propagationCounter.getIterationFour().add(1);
|
||||
break;
|
||||
case "5":
|
||||
propagationCounter.getIterationFive().add(1);
|
||||
break;
|
||||
default:
|
||||
break;
|
||||
}
|
||||
} else {
|
||||
propagationCounter.getNotReachedFirstParent().add(1);
|
||||
}
|
||||
|
||||
addNewRelations(spark, workingPath + NEW_RELATION_PATH, outputPath);
|
||||
}
|
||||
|
||||
private static void moveOutput(SparkSession spark, String workingPath, String leavesPath,
|
||||
String resultOrganizationPath) {
|
||||
readPath(spark, workingPath + "/leaves", Leaves.class)
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(leavesPath);
|
||||
|
||||
readPath(spark, workingPath + "/resOrg", KeyValueSet.class)
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(resultOrganizationPath);
|
||||
|
||||
}
|
||||
|
||||
private static void addNewRelations(SparkSession spark, String newRelationPath, String outputPath) {
|
||||
Dataset<Relation> relation = readPath(spark, newRelationPath, Relation.class);
|
||||
|
||||
relation
|
||||
.groupByKey((MapFunction<Relation, String>) r -> r.getSource() + r.getTarget(), Encoders.STRING())
|
||||
.mapGroups(
|
||||
(MapGroupsFunction<String, Relation, Relation>) (k, it) -> it.next(), Encoders.bean(Relation.class))
|
||||
.flatMap(
|
||||
(FlatMapFunction<Relation, Relation>) r -> Arrays
|
||||
.asList(
|
||||
r, getRelation(
|
||||
r.getTarget(), r.getSource(), ModelConstants.IS_AUTHOR_INSTITUTION_OF,
|
||||
ModelConstants.RESULT_ORGANIZATION,
|
||||
ModelConstants.AFFILIATION,
|
||||
PROPAGATION_DATA_INFO_TYPE,
|
||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID,
|
||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_NAME))
|
||||
.iterator()
|
||||
|
||||
, Encoders.bean(Relation.class))
|
||||
.write()
|
||||
|
||||
.mode(SaveMode.Append)
|
||||
.option("compression", "gzip")
|
||||
.json(outputPath);
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,206 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
import static eu.dnetlib.dhp.PropagationConstant.readPath;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.*;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.spark.api.java.function.*;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.dhp.KeyValueSet;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
import scala.Tuple2;
|
||||
|
||||
public class StepActions implements Serializable {
|
||||
|
||||
public static void execStep(SparkSession spark,
|
||||
String graphPath, String newRelationPath,
|
||||
String leavesPath, String chldParentOrgPath, String resultOrgPath) {
|
||||
|
||||
Dataset<Relation> relationGraph = readPath(spark, graphPath, Relation.class);
|
||||
// select only the relation source target among those proposed by propagation that are not already existent
|
||||
getNewRels(
|
||||
newRelationPath, relationGraph,
|
||||
getPropagationRelation(spark, leavesPath, chldParentOrgPath, resultOrgPath));
|
||||
|
||||
}
|
||||
|
||||
public static void prepareForNextStep(SparkSession spark, String selectedRelsPath, String resultOrgPath,
|
||||
String leavesPath, String chldParentOrgPath, String leavesOutputPath,
|
||||
String orgOutputPath) {
|
||||
// use of the parents as new leaves set
|
||||
changeLeavesSet(spark, leavesPath, chldParentOrgPath, leavesOutputPath);
|
||||
|
||||
// add the new relations obtained from propagation to the keyvalueset result organization
|
||||
updateResultOrganization(
|
||||
spark, resultOrgPath, readPath(spark, selectedRelsPath, Relation.class), orgOutputPath);
|
||||
}
|
||||
|
||||
private static void updateResultOrganization(SparkSession spark, String resultOrgPath,
|
||||
Dataset<Relation> selectedRels, String outputPath) {
|
||||
Dataset<KeyValueSet> resultOrg = readPath(spark, resultOrgPath, KeyValueSet.class);
|
||||
resultOrg
|
||||
.joinWith(
|
||||
selectedRels, resultOrg
|
||||
.col("key")
|
||||
.equalTo(selectedRels.col("source")),
|
||||
"left")
|
||||
.groupByKey((MapFunction<Tuple2<KeyValueSet, Relation>, String>) mf -> mf._1().getKey(), Encoders.STRING())
|
||||
.mapGroups((MapGroupsFunction<String, Tuple2<KeyValueSet, Relation>, KeyValueSet>) (key, it) -> {
|
||||
Tuple2<KeyValueSet, Relation> first = it.next();
|
||||
if (!Optional.ofNullable(first._2()).isPresent()) {
|
||||
return first._1();
|
||||
}
|
||||
KeyValueSet ret = new KeyValueSet();
|
||||
ret.setKey(first._1().getKey());
|
||||
HashSet<String> hs = new HashSet<>();
|
||||
hs.addAll(first._1().getValueSet());
|
||||
hs.add(first._2().getTarget());
|
||||
it.forEachRemaining(rel -> hs.add(rel._2().getTarget()));
|
||||
ArrayList<String> orgs = new ArrayList<>();
|
||||
orgs.addAll(hs);
|
||||
ret.setValueSet(orgs);
|
||||
return ret;
|
||||
}, Encoders.bean(KeyValueSet.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(outputPath);
|
||||
}
|
||||
|
||||
private static void changeLeavesSet(SparkSession spark, String leavesPath, String chldParentOrgPath,
|
||||
String leavesOutputPath) {
|
||||
Dataset<KeyValueSet> childParent = readPath(spark, chldParentOrgPath, KeyValueSet.class);
|
||||
Dataset<Leaves> leaves = readPath(spark, leavesPath, Leaves.class);
|
||||
|
||||
childParent.createOrReplaceTempView("childParent");
|
||||
leaves.createOrReplaceTempView("leaves");
|
||||
|
||||
spark
|
||||
.sql(
|
||||
"SELECT distinct parent as value " +
|
||||
"FROM leaves " +
|
||||
"JOIN (SELECT key, parent " +
|
||||
" FROM childParent " +
|
||||
" LATERAL VIEW explode(valueSet) kv as parent) tmp " +
|
||||
"ON value = key ")
|
||||
.as(Encoders.bean(Leaves.class))
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.json(leavesOutputPath);
|
||||
}
|
||||
|
||||
@NotNull
|
||||
private static void getNewRels(String newRelationPath, Dataset<Relation> relationDataset,
|
||||
Dataset<Relation> newRels) {
|
||||
// selects new, not already existent relations
|
||||
// union of new propagation relations to the relation set
|
||||
// grouping from sourcetarget (we are sure the only relations are those from result to organization by
|
||||
// construction of the set)
|
||||
// if at least one relation in the set was not produced by propagation no new relation will be returned
|
||||
|
||||
relationDataset
|
||||
.union(newRels)
|
||||
.groupByKey((MapFunction<Relation, String>) r -> r.getSource() + r.getTarget(), Encoders.STRING())
|
||||
.mapGroups((MapGroupsFunction<String, Relation, String>) (k, it) -> {
|
||||
|
||||
ArrayList<Relation> relationList = new ArrayList<>();
|
||||
relationList.add(it.next());
|
||||
it.forEachRemaining(rel -> relationList.add(rel));
|
||||
|
||||
if (relationList
|
||||
.stream()
|
||||
.filter(
|
||||
rel -> !rel
|
||||
.getDataInfo()
|
||||
.getProvenanceaction()
|
||||
.getClassid()
|
||||
.equals(PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID))
|
||||
.count() > 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return new ObjectMapper().writeValueAsString(relationList.get(0));
|
||||
|
||||
}, Encoders.STRING())
|
||||
.filter(Objects::nonNull)
|
||||
.map(
|
||||
(MapFunction<String, Relation>) r -> new ObjectMapper().readValue(r, Relation.class),
|
||||
Encoders.bean(Relation.class))
|
||||
.write()
|
||||
.mode(SaveMode.Append)
|
||||
.option("compression", "gzip")
|
||||
.json(newRelationPath);
|
||||
|
||||
}
|
||||
|
||||
// get the possible relations from propagation
|
||||
private static Dataset<Relation> getPropagationRelation(SparkSession spark,
|
||||
String leavesPath,
|
||||
String chldParentOrgPath,
|
||||
String resultOrgPath) {
|
||||
|
||||
Dataset<KeyValueSet> childParent = readPath(spark, chldParentOrgPath, KeyValueSet.class);
|
||||
Dataset<KeyValueSet> resultOrg = readPath(spark, resultOrgPath, KeyValueSet.class);
|
||||
Dataset<Leaves> leaves = readPath(spark, leavesPath, Leaves.class);
|
||||
|
||||
childParent.createOrReplaceTempView("childParent");
|
||||
resultOrg.createOrReplaceTempView("resultOrg");
|
||||
leaves.createOrReplaceTempView("leaves");
|
||||
|
||||
Dataset<KeyValueSet> resultParent = spark
|
||||
.sql(
|
||||
"SELECT resId as key, " +
|
||||
"collect_set(parent) valueSet " +
|
||||
"FROM (SELECT key as child, parent " +
|
||||
" FROM childParent " +
|
||||
" LATERAL VIEW explode(valueSet) ks as parent) as cp " +
|
||||
"JOIN leaves " +
|
||||
"ON leaves.value = cp.child " +
|
||||
"JOIN (" +
|
||||
"SELECT key as resId, org " +
|
||||
"FROM resultOrg " +
|
||||
"LATERAL VIEW explode (valueSet) ks as org ) as ro " +
|
||||
"ON leaves.value = ro.org " +
|
||||
"GROUP BY resId")
|
||||
.as(Encoders.bean(KeyValueSet.class));
|
||||
|
||||
|
||||
// create new relations from result to organization for each result linked to a leaf
|
||||
return resultParent
|
||||
.flatMap(
|
||||
(FlatMapFunction<KeyValueSet, Relation>) v -> v
|
||||
.getValueSet()
|
||||
.stream()
|
||||
.map(
|
||||
orgId -> getRelation(
|
||||
v.getKey(),
|
||||
orgId,
|
||||
ModelConstants.HAS_AUTHOR_INSTITUTION,
|
||||
ModelConstants.RESULT_ORGANIZATION,
|
||||
ModelConstants.AFFILIATION,
|
||||
PROPAGATION_DATA_INFO_TYPE,
|
||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID,
|
||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_NAME))
|
||||
.collect(Collectors.toList())
|
||||
.iterator(),
|
||||
Encoders.bean(Relation.class));
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
[
|
||||
{
|
||||
"paramName":"gp",
|
||||
"paramLongName":"graphPath",
|
||||
"paramDescription": "the path of the sequencial file to read",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"h",
|
||||
"paramLongName":"hive_metastore_uris",
|
||||
"paramDescription": "the hive metastore uris",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"lp",
|
||||
"paramLongName":"leavesPath",
|
||||
"paramDescription": "true if the new version of the graph must be saved",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName":"cp",
|
||||
"paramLongName":"childParentPath",
|
||||
"paramDescription": "path where to store/find association from datasource and organization",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"rp",
|
||||
"paramLongName":"resultOrgPath",
|
||||
"paramDescription": "path where to store/find already linked results and organizations",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ssm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "the path where prepared info have been stored",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "rep",
|
||||
"paramLongName": "relationPath",
|
||||
"paramDescription": "the path where to store the selected subset of relations",
|
||||
"paramRequired": false
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
[
|
||||
{
|
||||
"paramName":"rep",
|
||||
"paramLongName":"relationPath",
|
||||
"paramDescription": "the path of the sequencial file to read",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"h",
|
||||
"paramLongName":"hive_metastore_uris",
|
||||
"paramDescription": "the hive metastore uris",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"lp",
|
||||
"paramLongName":"leavesPath",
|
||||
"paramDescription": "true if the new version of the graph must be saved",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName":"cp",
|
||||
"paramLongName":"childParentPath",
|
||||
"paramDescription": "path where to store/find association from datasource and organization",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"rp",
|
||||
"paramLongName":"resultOrgPath",
|
||||
"paramDescription": "path where to store/find already linked results and organizations",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ssm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "the path where prepared info have been stored",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "wd",
|
||||
"paramLongName": "workingDir",
|
||||
"paramDescription": "true if it is a test running",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "out",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path used to store temporary output files",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,58 @@
|
|||
<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>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>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>sparkExecutorNumber</name>
|
||||
<value>4</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<value>15G</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorMemory</name>
|
||||
<value>6G</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorCores</name>
|
||||
<value>1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2MaxExecutors</name>
|
||||
<value>50</value>
|
||||
</property>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,193 @@
|
|||
<workflow-app name="affiliation_from_instrepo_propagation" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>sourcePath</name>
|
||||
<description>the source path</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>sets the outputPath</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>${oozieActionShareLibForSpark2}</value>
|
||||
</property>
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="resume_from"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<decision name="resume_from">
|
||||
<switch>
|
||||
<case to="prepare_info">${wf:conf('resumeFrom') eq 'PrepareInfo'}</case>
|
||||
<default to="reset_outputpath"/> <!-- first action to be done when downloadDump is to be performed -->
|
||||
</switch>
|
||||
</decision>
|
||||
|
||||
<action name="reset_outputpath">
|
||||
<fs>
|
||||
<delete path="${outputPath}"/>
|
||||
<mkdir path="${outputPath}"/>
|
||||
</fs>
|
||||
<ok to="copy_entities"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<fork name="copy_entities">
|
||||
<path start="copy_relation"/>
|
||||
<path start="copy_publication"/>
|
||||
<path start="copy_dataset"/>
|
||||
<path start="copy_orp"/>
|
||||
<path start="copy_software"/>
|
||||
<path start="copy_organization"/>
|
||||
<path start="copy_projects"/>
|
||||
<path start="copy_datasources"/>
|
||||
</fork>
|
||||
|
||||
<action name="copy_relation">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/relation</arg>
|
||||
<arg>${nameNode}/${outputPath}/relation</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_publication">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/publication</arg>
|
||||
<arg>${nameNode}/${outputPath}/publication</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_dataset">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/dataset</arg>
|
||||
<arg>${nameNode}/${outputPath}/dataset</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_orp">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/otherresearchproduct</arg>
|
||||
<arg>${nameNode}/${outputPath}/otherresearchproduct</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_software">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/software</arg>
|
||||
<arg>${nameNode}/${outputPath}/software</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_organization">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/organization</arg>
|
||||
<arg>${nameNode}/${outputPath}/organization</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_projects">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/project</arg>
|
||||
<arg>${nameNode}/${outputPath}/project</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="copy_datasources">
|
||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||
<arg>${nameNode}/${sourcePath}/datasource</arg>
|
||||
<arg>${nameNode}/${outputPath}/datasource</arg>
|
||||
</distcp>
|
||||
<ok to="wait"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<join name="wait" to="prepare_info"/>
|
||||
|
||||
|
||||
<action name="prepare_info">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>PrepareResultOrganizationAssociation</name>
|
||||
<class>eu.dnetlib.dhp.resulttoorganizationfromsemrel.PrepareInfo</class>
|
||||
<jar>dhp-enrichment-${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}
|
||||
</spark-opts>
|
||||
<arg>--graphPath</arg><arg>${sourcePath}</arg>
|
||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||
<arg>--leavesPath</arg><arg>${workingDir}/preparedInfo/leavesPath</arg>
|
||||
<arg>--childParentPath</arg><arg>${workingDir}/preparedInfo/childParentPath</arg>
|
||||
<arg>--resultOrgPath</arg><arg>${workingDir}/preparedInfo/resultOrgPath</arg>
|
||||
<arg>--relationPath</arg><arg>${workingDir}/preparedInfo/relation</arg>
|
||||
</spark>
|
||||
<ok to="apply_resulttoorganization_propagation"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="apply_resulttoorganization_propagation">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>resultToOrganizationFromSemRel</name>
|
||||
<class>eu.dnetlib.dhp.resulttoorganizationfromsemrel.SparkResultToOrganizationFromSemRel</class>
|
||||
<jar>dhp-enrichment-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${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}${spark2EventLogDir}
|
||||
--conf spark.dynamicAllocation.enabled=true
|
||||
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
|
||||
</spark-opts>
|
||||
<arg>--relationPath</arg><arg>${workingDir}/preparedInfo/relation</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}/relation</arg>
|
||||
<arg>--leavesPath</arg><arg>${workingDir}/preparedInfo/leavesPath</arg>
|
||||
<arg>--childParentPath</arg><arg>${workingDir}/preparedInfo/childParentPath</arg>
|
||||
<arg>--resultOrgPath</arg><arg>${workingDir}/preparedInfo/resultOrgPath</arg>
|
||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||
<arg>--workingDir</arg><arg>${workingDir}/working</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
|
||||
<end name="End"/>
|
||||
|
||||
</workflow-app>
|
||||
|
|
@ -0,0 +1,578 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.readPath;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.util.List;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
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.FilterFunction;
|
||||
import org.apache.spark.api.java.function.ForeachFunction;
|
||||
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.KeyValueSet;
|
||||
import eu.dnetlib.dhp.projecttoresult.SparkResultToProjectThroughSemRelJob;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
public class PrepareInfoJobTest {
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(PrepareInfoJobTest.class);
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
private static SparkSession spark;
|
||||
|
||||
private static Path workingDir;
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
workingDir = Files.createTempDirectory(PrepareInfoJobTest.class.getSimpleName());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.setAppName(PrepareInfoJobTest.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(PrepareInfoJobTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void childParentTest1() throws Exception {
|
||||
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/childparenttest1")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<KeyValueSet> tmp = sc
|
||||
.textFile(workingDir.toString() + "/childParentOrg/")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, KeyValueSet.class));
|
||||
|
||||
Dataset<KeyValueSet> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(KeyValueSet.class));
|
||||
|
||||
Assertions.assertEquals(6, verificationDs.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|dedup_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f",
|
||||
verificationDs
|
||||
.filter("key = '20|dedup_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.get(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, verificationDs
|
||||
.filter("key = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|openaire____::ec653e804967133b9436fdd30d3ff51d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
|
||||
verificationDs
|
||||
.foreach((ForeachFunction<KeyValueSet>) v -> System.out.println(OBJECT_MAPPER.writeValueAsString(v)));
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void childParentTest2() throws Exception {
|
||||
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/childparenttest2")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<KeyValueSet> tmp = sc
|
||||
.textFile(workingDir.toString() + "/childParentOrg/")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, KeyValueSet.class));
|
||||
|
||||
Dataset<KeyValueSet> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(KeyValueSet.class));
|
||||
|
||||
Assertions.assertEquals(5, verificationDs.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
0, verificationDs.filter("key = '20|dedup_wf_001::2899e571609779168222fdeb59cb916d'").count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f",
|
||||
verificationDs
|
||||
.filter("key = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.get(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|openaire____::ec653e804967133b9436fdd30d3ff51d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void relationTest()throws Exception {
|
||||
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/resultorganizationtest")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Relation> tmp = sc
|
||||
.textFile(workingDir.toString() + "/relation")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class));
|
||||
|
||||
Dataset<Relation> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
|
||||
|
||||
Assertions.assertEquals(7, verificationDs.count());
|
||||
|
||||
}
|
||||
@Test
|
||||
public void resultOrganizationTest1() throws Exception {
|
||||
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/resultorganizationtest")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<KeyValueSet> tmp = sc
|
||||
.textFile(workingDir.toString() + "/resultOrganization/")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, KeyValueSet.class));
|
||||
|
||||
Dataset<KeyValueSet> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(KeyValueSet.class));
|
||||
|
||||
Assertions.assertEquals(5, verificationDs.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, verificationDs
|
||||
.filter("key = '50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|pippo_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, verificationDs
|
||||
.filter("key = '50|dedup_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|dedup_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|dedup_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|pippo_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '50|doajarticles::03748bcb5d754c951efec9700e18a56d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|doajarticles::03748bcb5d754c951efec9700e18a56d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '50|openaire____::ec653e804967133b9436fdd30d3ff51d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|openaire____::ec653e804967133b9436fdd30d3ff51d'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("key = '50|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
verificationDs
|
||||
.filter("key = '50|doajarticles::1cae0b82b56ccd97c2db1f698def7074'")
|
||||
.collectAsList()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1"));
|
||||
|
||||
verificationDs
|
||||
.foreach((ForeachFunction<KeyValueSet>) v -> System.out.println(OBJECT_MAPPER.writeValueAsString(v)));
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void foundLeavesTest1() throws Exception {
|
||||
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/resultorganizationtest")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<String> tmp = sc
|
||||
.textFile(workingDir.toString() + "/currentIteration/")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, String.class));
|
||||
|
||||
Assertions.assertEquals(0, tmp.count());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void foundLeavesTest2() throws Exception {
|
||||
PrepareInfo
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-graphPath", getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/childparenttest1")
|
||||
.getPath(),
|
||||
"-hive_metastore_uris", "",
|
||||
"-leavesPath", workingDir.toString() + "/currentIteration/",
|
||||
"-resultOrgPath", workingDir.toString() + "/resultOrganization/",
|
||||
"-childParentPath", workingDir.toString() + "/childParentOrg/",
|
||||
"-relationPath", workingDir.toString() + "/relation"
|
||||
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Leaves> tmp = sc
|
||||
.textFile(workingDir.toString() + "/currentIteration/")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Leaves.class));
|
||||
|
||||
Dataset<Leaves> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(Leaves.class));
|
||||
|
||||
Assertions.assertEquals(3, verificationDs.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("value = '20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0'")
|
||||
.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("value = '20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1'")
|
||||
.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, verificationDs
|
||||
.filter("value = '20|pippo_wf_001::2899e571609779168222fdeb59cb916d'")
|
||||
.count());
|
||||
|
||||
verificationDs.foreach((ForeachFunction<Leaves>) l -> System.out.println(OBJECT_MAPPER.writeValueAsString(l)));
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,325 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.isSparkSessionManaged;
|
||||
import static eu.dnetlib.dhp.PropagationConstant.readPath;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
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.ForeachFunction;
|
||||
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.KeyValueSet;
|
||||
import eu.dnetlib.dhp.PropagationConstant;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
public class SparkJobTest {
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
private static SparkSession spark;
|
||||
|
||||
private static Path workingDir;
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(SparkJobTest.class);
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
workingDir = Files.createTempDirectory(StepActionsTest.class.getSimpleName());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.setAppName(PrepareInfoJobTest.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(PrepareInfoJobTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void completeExecution() throws Exception {
|
||||
|
||||
final String graphPath = getClass()
|
||||
.getResource("/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep")
|
||||
.getPath();
|
||||
final String leavesPath = getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/currentIteration/")
|
||||
.getPath();
|
||||
final String childParentPath = getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/childParentOrg/")
|
||||
.getPath();
|
||||
|
||||
final String resultOrgPath = getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/resultOrganization/")
|
||||
.getPath();
|
||||
|
||||
readPath(spark, leavesPath, Leaves.class)
|
||||
.write()
|
||||
.option("compression", "gzip")
|
||||
.json(workingDir.toString() + "/leavesInput");
|
||||
|
||||
readPath(spark, resultOrgPath, KeyValueSet.class)
|
||||
.write()
|
||||
.option("compression", "gzip")
|
||||
.json(workingDir.toString() + "/orgsInput");
|
||||
|
||||
SparkResultToOrganizationFromSemRel
|
||||
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-relationPath", graphPath,
|
||||
"-hive_metastore_uris", "",
|
||||
"-outputPath", workingDir.toString() + "/finalrelation",
|
||||
"-leavesPath", workingDir.toString() + "/leavesInput",
|
||||
"-resultOrgPath", workingDir.toString() + "/orgsInput",
|
||||
"-childParentPath", childParentPath,
|
||||
"-workingDir", workingDir.toString()
|
||||
});
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Relation> tmp = sc
|
||||
.textFile(workingDir.toString() + "/finalrelation")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class));
|
||||
|
||||
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
|
||||
|
||||
Assertions.assertEquals(18, tmp.count());
|
||||
tmp.foreach(r -> Assertions.assertEquals(ModelConstants.AFFILIATION, r.getSubRelType()));
|
||||
tmp.foreach(r -> Assertions.assertEquals(ModelConstants.RESULT_ORGANIZATION, r.getRelType()));
|
||||
tmp
|
||||
.foreach(
|
||||
r -> Assertions
|
||||
.assertEquals(
|
||||
PropagationConstant.PROPAGATION_DATA_INFO_TYPE, r.getDataInfo().getInferenceprovenance()));
|
||||
tmp
|
||||
.foreach(
|
||||
r -> Assertions
|
||||
.assertEquals(
|
||||
PropagationConstant.PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID,
|
||||
r.getDataInfo().getProvenanceaction().getClassid()));
|
||||
tmp
|
||||
.foreach(
|
||||
r -> Assertions
|
||||
.assertEquals(
|
||||
PropagationConstant.PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_NAME,
|
||||
r.getDataInfo().getProvenanceaction().getClassname()));
|
||||
tmp
|
||||
.foreach(
|
||||
r -> Assertions
|
||||
.assertEquals(
|
||||
"0.85",
|
||||
r.getDataInfo().getTrust()));
|
||||
|
||||
Assertions.assertEquals(9, tmp.filter(r -> r.getSource().substring(0, 3).equals("50|")).count());
|
||||
tmp
|
||||
.filter(r -> r.getSource().substring(0, 3).equals("50|"))
|
||||
.foreach(r -> Assertions.assertEquals(ModelConstants.HAS_AUTHOR_INSTITUTION, r.getRelClass()));
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, tmp.filter(r -> r.getSource().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, tmp.filter(r -> r.getSource().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, tmp.filter(r -> r.getSource().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(r -> r.getSource().equals("50|openaire____::ec653e804967133b9436fdd30d3ff51d")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(r -> r.getSource().equals("50|doajarticles::03748bcb5d754c951efec9700e18a56d")).count());
|
||||
|
||||
Assertions.assertEquals(9, tmp.filter(r -> r.getSource().substring(0, 3).equals("20|")).count());
|
||||
tmp
|
||||
.filter(r -> r.getSource().substring(0, 3).equals("20|"))
|
||||
.foreach(r -> Assertions.assertEquals(ModelConstants.IS_AUTHOR_INSTITUTION_OF, r.getRelClass()));
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(r -> r.getSource().equals("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(r -> r.getSource().equals("20|dedup_wf_001::2899e571609779168222fdeb59cb916d")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, tmp.filter(r -> r.getSource().equals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, tmp.filter(r -> r.getSource().equals("20|openaire____::ec653e804967133b9436fdd30d3ff51d")).count());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, tmp.filter(r -> r.getSource().equals("20|doajarticles::03748bcb5d754c951efec9700e18a56d")).count());
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|openaire____::ec653e804967133b9436fdd30d3ff51d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|openaire____::ec653e804967133b9436fdd30d3ff51d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|openaire____::ec653e804967133b9436fdd30d3ff51d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("50|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("20|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|openaire____::ec653e804967133b9436fdd30d3ff51d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|openaire____::ec653e804967133b9436fdd30d3ff51d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|openaire____::ec653e804967133b9436fdd30d3ff51d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|doajarticles::03748bcb5d754c951efec9700e18a56d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(r -> r.getSource().equals("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.map(r -> r.getTarget())
|
||||
.collect()
|
||||
.contains("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,411 @@
|
|||
|
||||
package eu.dnetlib.dhp.resulttoorganizationfromsemrel;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
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.FilterFunction;
|
||||
import org.apache.spark.api.java.function.ForeachFunction;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
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.KeyValueSet;
|
||||
import eu.dnetlib.dhp.PropagationConstant;
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||
|
||||
public class StepActionsTest {
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(StepActionsTest.class);
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
private static SparkSession spark;
|
||||
|
||||
private static Path workingDir;
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
workingDir = Files.createTempDirectory(StepActionsTest.class.getSimpleName());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.setAppName(PrepareInfoJobTest.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(PrepareInfoJobTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void execStepTest() {
|
||||
|
||||
StepActions
|
||||
.execStep(
|
||||
spark, getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/")
|
||||
.getPath(),
|
||||
workingDir.toString() + "/newRelationPath",
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/currentIteration/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/childParentOrg/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/resultOrganization/")
|
||||
.getPath());
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Relation> tmp = sc
|
||||
.textFile(workingDir.toString() + "/newRelationPath")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class));
|
||||
|
||||
Assertions.assertEquals(4, tmp.count());
|
||||
|
||||
Dataset<Relation> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals("propagation", r.getDataInfo().getInferenceprovenance()));
|
||||
|
||||
verificationDs
|
||||
.foreach((ForeachFunction<Relation>) r -> Assertions.assertEquals("0.85", r.getDataInfo().getTrust()));
|
||||
|
||||
verificationDs
|
||||
.foreach((ForeachFunction<Relation>) r -> Assertions.assertEquals("50|", r.getSource().substring(0, 3)));
|
||||
|
||||
verificationDs
|
||||
.foreach((ForeachFunction<Relation>) r -> Assertions.assertEquals("20|", r.getTarget().substring(0, 3)));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals(ModelConstants.HAS_AUTHOR_INSTITUTION, r.getRelClass()));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals(ModelConstants.RESULT_ORGANIZATION, r.getRelType()));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals(ModelConstants.AFFILIATION, r.getSubRelType()));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals(
|
||||
PropagationConstant.PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_ID,
|
||||
r.getDataInfo().getProvenanceaction().getClassid()));
|
||||
|
||||
verificationDs
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals(
|
||||
PropagationConstant.PROPAGATION_RELATION_RESULT_ORGANIZATION_SEM_REL_CLASS_NAME,
|
||||
r.getDataInfo().getProvenanceaction().getClassname()));
|
||||
|
||||
verificationDs
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> r
|
||||
.getSource()
|
||||
.equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074", r.getTarget()));
|
||||
|
||||
verificationDs
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> r
|
||||
.getSource()
|
||||
.equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.foreach(
|
||||
(ForeachFunction<Relation>) r -> Assertions
|
||||
.assertEquals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f", r.getTarget()));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2,
|
||||
verificationDs
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> r
|
||||
.getSource()
|
||||
.equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
verificationDs
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> r
|
||||
.getSource()
|
||||
.equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d") &&
|
||||
r.getTarget().equals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1,
|
||||
verificationDs
|
||||
.filter(
|
||||
(FilterFunction<Relation>) r -> r
|
||||
.getSource()
|
||||
.equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d") &&
|
||||
r.getTarget().equals("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.count());
|
||||
|
||||
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void prepareForNextStepLeavesTest() {
|
||||
|
||||
StepActions
|
||||
.prepareForNextStep(
|
||||
spark,
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/relsforiteration1/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/resultOrganization/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/currentIteration/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/childParentOrg/")
|
||||
.getPath(),
|
||||
workingDir.toString() + "/tempLeaves", workingDir.toString() + "/tempOrgs");
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<Leaves> tmp = sc
|
||||
.textFile(workingDir.toString() + "/tempLeaves")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Leaves.class));
|
||||
|
||||
Assertions.assertEquals(3, tmp.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(l -> l.getValue().equals("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f")).count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(l -> l.getValue().equals("20|dedup_wf_001::2899e571609779168222fdeb59cb916d")).count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp.filter(l -> l.getValue().equals("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074")).count());
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void prepareFonNextStepOrgTest() {
|
||||
StepActions
|
||||
.prepareForNextStep(
|
||||
spark,
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/relsforiteration1/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/resultOrganization/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/currentIteration/")
|
||||
.getPath(),
|
||||
getClass()
|
||||
.getResource(
|
||||
"/eu/dnetlib/dhp/resulttoorganizationfromsemrel/execstep/childParentOrg/")
|
||||
.getPath(),
|
||||
workingDir.toString() + "/tempLeaves", workingDir.toString() + "/tempOrgs");
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
|
||||
JavaRDD<KeyValueSet> tmp = sc
|
||||
.textFile(workingDir.toString() + "/tempOrgs")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, KeyValueSet.class));
|
||||
|
||||
Assertions.assertEquals(5, tmp.count());
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp
|
||||
.filter(kv -> kv.getKey().equals("50|openaire____::ec653e804967133b9436fdd30d3ff51d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"20|doajarticles::1cae0b82b56ccd97c2db1f698def7074",
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|openaire____::ec653e804967133b9436fdd30d3ff51d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.get(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
1, tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertEquals(
|
||||
"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f",
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::03748bcb5d754c951efec9700e18a56d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.get(0));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
4, tmp
|
||||
.filter(kv -> kv.getKey().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|pippo_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|dedup_wf_001::2899e571609779168222fdeb59cb916d"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
2, tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::1cae0b82b56ccd97c2db1f698def7074"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"));
|
||||
|
||||
Assertions
|
||||
.assertEquals(
|
||||
3, tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.size());
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|dedup_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|pippo_wf_001::2899e571609779168222fdeb59cb916d"));
|
||||
Assertions
|
||||
.assertTrue(
|
||||
tmp
|
||||
.filter(kv -> kv.getKey().equals("50|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"))
|
||||
.collect()
|
||||
.get(0)
|
||||
.getValueSet()
|
||||
.contains("20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"));
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f","subRelType":"provision","target":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f","subRelType":"provision","target":"20|pippo_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d","subRelType":"provision","target":"20|pippo_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d","subRelType":"provision","target":"20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::03748bcb5d754c951efec9700e18a56d","subRelType":"provision","target":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|openaire____::ec653e804967133b9436fdd30d3ff51d","subRelType":"provision","target":"20|doajarticles::1cae0b82b56ccd97c2db1f698def7074"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::1cae0b82b56ccd97c2db1f698def7074","subRelType":"provision","target":"20|opendoar____::a5fcb8eb25ebd6f7cd219e0fa1e6ddc1"}
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":true,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f","subRelType":"provision","target":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f","subRelType":"provision","target":"20|pippo_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":true,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d","subRelType":"provision","target":"20|pippo_wf_001::2899e571609779168222fdeb59cb916d"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|dedup_wf_001::2899e571609779168222fdeb59cb916d","subRelType":"provision","target":"20|doajarticles::396262ee936f3d3e26ff0e60bea6cae0"}
|
||||
{"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"lastupdatetimestamp":1592688952862,"properties":[],"relClass":"isparentof","relType":"datasourceOrganization","source":"20|doajarticles::03748bcb5d754c951efec9700e18a56d","subRelType":"provision","target":"20|doajarticles::2baa9032dc058d3c8ff780c426b0c19f"}
|
||||
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Reference in New Issue