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Author SHA1 Message Date
Giambattista Bloisi 4f2a61e10f Change the selection criteria for the pivot record of a group so that by best pid type becomes the first criteria. This will have the effect to slowly converge to records having DOI pid 2024-06-11 15:33:56 +02:00
Claudio Atzori 11fe3a4fe0 [graph resolution] use sparkExecutorMemory to define also the memoryOverhead 2024-06-11 14:21:17 +02:00
Claudio Atzori a8d68c9d29 avoid NPEs 2024-06-11 14:19:24 +02:00
Miriam Baglioni 8fe934810f Merge remote-tracking branch 'origin/beta' into beta 2024-06-11 10:28:51 +02:00
Miriam Baglioni 9da006e98c [SDGFoSActionSet]remove datainfo for the result. It is not needed (qualifier.classid = UPDATE) useless since subject do not go at the level of the instance 2024-06-11 10:28:32 +02:00
Giambattista Bloisi 85c1eae7e0 Fixes for pagination strategy looping at end of download 2024-06-10 19:03:58 +02:00
Claudio Atzori b0eba210c0 [actionset promotion] use sparkExecutorMemory to define also the memoryOverhead 2024-06-10 16:15:24 +02:00
Claudio Atzori 3776327a8c hostedby patching to work with the updated Crossref contents, resolved conflict 2024-06-10 15:24:12 +02:00
Claudio Atzori 0139f23d66 Merge pull request 'organization type from OpenOrgs' (#445) from import_openorg_type into beta
Reviewed-on: D-Net/dnet-hadoop#445
2024-06-07 12:17:31 +02:00
Michele Artini c726572418 changed some parameters in OSF test 2024-06-07 12:03:26 +02:00
Claudio Atzori ec79405cc9 [graph raw] set organization type from openorgs 2024-06-07 11:30:31 +02:00
Miriam Baglioni 1477406ecc [bulkTag] fixed issue that made project disappear in graph_10_enriched 2024-06-06 10:45:41 +02:00
Claudio Atzori 92c3abd5a4 [graph cleaning] use sparkExecutorMemory to define also the memoryOverhead 2024-06-06 10:44:33 +02:00
Claudio Atzori ce2364743a applying changes from PR#442: Fix for missing collectedfrom after dedup 2024-06-06 10:43:43 +02:00
Claudio Atzori f70dc76b61 minor 2024-06-06 10:43:10 +02:00
Claudio Atzori 73bd1938a5 [graph2hive] use sparkExecutorMemory to define also the memoryOverhead 2024-06-05 12:17:35 +02:00
Claudio Atzori da5c1e73a4 Merge pull request 'Irish oaipmh exporter' (#443) from irish-oaipmh-exporter into beta
Reviewed-on: D-Net/dnet-hadoop#443
2024-06-05 10:55:09 +02:00
Claudio Atzori a02f3f0d2b code formatting 2024-05-30 10:21:18 +02:00
Alessia Bardi eadfd8d71d Merge pull request 'Updated XMLIterator for splitting on different nodes' (#436) from dblp_collection_plugin into beta
Reviewed-on: D-Net/dnet-hadoop#436
2024-05-29 16:05:06 +02:00
Alessia Bardi 05ee783c07 Merge branch 'beta' into dblp_collection_plugin 2024-05-29 16:04:39 +02:00
Alessia Bardi fe9fb59c90 Merge pull request 'Rest collector plugin on hadoop supports a new param to pass request headers' (#441) from rest-collector-request-header-map into beta
Reviewed-on: D-Net/dnet-hadoop#441
2024-05-29 15:54:39 +02:00
Claudio Atzori c272c4ad68 code formatting 2024-05-29 15:50:07 +02:00
Alessia Bardi c5f4da16a4 Merge branch 'beta' into rest-collector-request-header-map 2024-05-29 15:46:23 +02:00
Alessia 1b165a14a0 Rest collector plugin on hadoop supports a new param to pass request headers 2024-05-29 15:41:36 +02:00
Michele Artini e996787be2 OSF test 2024-05-29 15:05:17 +02:00
Claudio Atzori 62716141c5 Merge pull request 'Miscellaneous updates to the copying operation to Impala Cluster' (#440) from antonis.lempesis/dnet-hadoop:beta into beta
Reviewed-on: D-Net/dnet-hadoop#440
2024-05-29 14:34:51 +02:00
Miriam Baglioni 5d85b70e1f [NOAMI] removed Ireland funder id 501100011103. ticket 9635 2024-05-29 11:55:00 +02:00
Lampros Smyrnaios e3f28338c1 Miscellaneous updates to the copying operation to Impala Cluster:
- Assign the WRITE and EXECUTE permissions to the DBs' HDFS-directories, in order to be able to create tables on top of them, in the Impala Cluster.
- Make sure the "copydb" function returns early, when it encounters a fatal error, while respecting the "SHOULD_EXIT_WHOLE_SCRIPT_UPON_ERROR" config.
2024-05-28 17:51:45 +03:00
Giambattista Bloisi 73316d8c83 Add jaxb and jaxws dependencies when compiling with spark-34 profile as they are required to run with jdk > 8 2024-05-28 14:14:51 +02:00
Miriam Baglioni 75d5ddb999 Update to include a blackList that filters out the results we know are wrongly associated to IE - update workflow definition - the blacklist parameter 2024-05-27 12:01:28 +02:00
Miriam Baglioni 87c9c61b41 Update to include a blackList that filters out the results we know are wrongly associated to IE - refactoring 2024-05-27 12:01:16 +02:00
Miriam Baglioni b55fed09f8 Update to include a blackList that filters out the results we know are wrongly associated to IE 2024-05-27 12:01:01 +02:00
Claudio Atzori 107d958b89 [org dedup] avoid NPEs in SparkPrepareNewOrgs 2024-05-27 11:59:54 +02:00
Claudio Atzori 3a7a6ecc32 [org dedup] avoid NPEs in SparkPrepareOrgRels 2024-05-27 11:59:45 +02:00
Claudio Atzori 1af4224d3d [org dedup] avoid NPEs in SparkPrepareOrgRels 2024-05-27 11:59:33 +02:00
Claudio Atzori 0d5bdb2db0 Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta 2024-05-27 11:59:02 +02:00
Claudio Atzori 66548e6a83 Merge pull request 'changes in copy script' (#438) from antonis.lempesis/dnet-hadoop:beta into beta
Reviewed-on: D-Net/dnet-hadoop#438
2024-05-27 11:54:03 +02:00
Antonis Lempesis 15b54a345a added fos lvl4 2024-05-24 13:21:28 +03:00
Lampros Smyrnaios b48ed6e617 Change configuration in the copy-operation to Impala Cluster:
Set the "SHOULD_EXIT_WHOLE_SCRIPT_UPON_ERROR" parameter to "false".
2024-05-23 16:58:12 +03:00
Lampros Smyrnaios 68322843e2 Small updates to the copy-operation to Impala Cluster:
- Add a configuration-"switch" to control whether the script exits upon an error or not.
- Allow the script to exit when a table could not be created.
- Show the elapsed time for processing each database.
2024-05-23 15:07:49 +03:00
Lampros Smyrnaios c7b32bbacc Update CopyDataToImpalaCluster:
Update the code of acquiring the entities from Ocean cluster, through hive, in order to optimize the process and account for additional reserved keywords in Impala.

Co-authored-by: Antonis Lempesis <antleb@di.uoa.gr>
2024-05-23 13:00:19 +03:00
Giambattista Bloisi 1b2357e10a Merge pull request 'Changes in maven poms to build and test the project using Spark 3.4.x and scala 2.12' (#327) from spark34-integration into beta
Reviewed-on: D-Net/dnet-hadoop#327
2024-05-23 09:20:28 +02:00
Sandro La Bruzzo f1fe363b19 merged again from beta (I hope for the last time) 2024-05-22 11:08:52 +02:00
Sandro La Bruzzo 66c1ffc866 merged again from beta (I hope for the last time) 2024-05-22 11:02:46 +02:00
Claudio Atzori 1ea67eba82 Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta 2024-05-21 13:48:48 +02:00
Claudio Atzori f9fb2fef6e Merge pull request 'Modification of Microsoft Academic Graph Mapping' (#435) from mag_only_doi into beta
Reviewed-on: D-Net/dnet-hadoop#435
2024-05-21 13:48:42 +02:00
Claudio Atzori 834461ba26 [graph provision]fixed wf definition, revised serialization of the usage counts measures 2024-05-21 13:48:06 +02:00
Sandro La Bruzzo e8a61d5dd5 removed plugin, use only FileGZip plugin 2024-05-21 13:45:29 +02:00
Sandro La Bruzzo ca9414b737 Implement multiple node name splitter on GZipCollectorPlugin and all nodes that use XMLIterator. If the splitter name contains is a comma separated values it splits for all the values 2024-05-21 09:11:13 +02:00
Sandro La Bruzzo 032bcc8279 since last beta workflow we decide to introduce in the graph only MAG item with DOI and set them invisible ( this should be the same behaviour of the previous DOIBoost mapping).
This commit apply this type of mapping
2024-05-20 09:24:15 +02:00
Sandro La Bruzzo 103e2652b3 merged beta 2024-05-17 14:43:07 +02:00
Sandro La Bruzzo a87f9ea643 fixed scholexplorer bug 2024-05-17 14:16:43 +02:00
Sandro La Bruzzo 6efab4d88e fixed scholexplorer bug 2024-05-16 16:19:18 +02:00
Claudio Atzori 92f018d196 [graph provision] fixed path pointing to an intermediate data store in the working directory 2024-05-15 15:39:18 +02:00
Claudio Atzori 0611c81a2f [graph provision] using Qualifier.classNames to populate the correponsing fields in the JSON payload 2024-05-15 15:33:10 +02:00
Claudio Atzori 1efe7f7e39 [graph provision] upgrade to dhp-schema:6.1.2, included project.oamandatepublications in the JSON payload mapping, fixed serialisation of the usageCounts measures 2024-05-14 12:39:31 +02:00
Claudio Atzori 53e7bb4336 Merge pull request 'rest-collector-plugin-with-retry' (#432) from rest-collector-plugin-with-retry into beta
Reviewed-on: D-Net/dnet-hadoop#432
2024-05-10 09:02:33 +02:00
Claudio Atzori f7d56e2ef2 Merge branch 'beta' into rest-collector-plugin-with-retry 2024-05-10 09:02:21 +02:00
Claudio Atzori c1237ab39e Merge pull request 'Fixes in Graph Provision' (#434) from beta_provision_relation into beta
Reviewed-on: D-Net/dnet-hadoop#434
2024-05-09 14:15:05 +02:00
Claudio Atzori dc3a5858f7 Merge branch 'beta' into beta_provision_relation 2024-05-09 14:14:43 +02:00
Claudio Atzori 55f39f7850 [graph provision] adds the possibility to validate the XML records before storing them via the validateXML parameter 2024-05-09 14:06:04 +02:00
Claudio Atzori 39a2afe8b5 [graph provision] fixed XML serialization of the usage counts measures, renamed workflow actions to better reflect their role 2024-05-09 13:54:42 +02:00
Claudio Atzori 908ed9da7a Merge pull request 'Various fixes in the stats wf' (#430) from antonis.lempesis/dnet-hadoop:beta into beta
Reviewed-on: D-Net/dnet-hadoop#430
2024-05-08 13:41:02 +02:00
Antonis Lempesis 0cada3cc8f every step is run in the analytics queue. Hardcoded for now, will make a parameter later 2024-05-08 13:42:53 +03:00
Antonis Lempesis 90a4fb3547 fixed typos 2024-05-08 13:17:58 +03:00
Claudio Atzori 18aa323ee9 cleanup unused classes, adjustments in the oozie wf definition 2024-05-08 11:36:46 +02:00
Claudio Atzori b4e3389432 fixed property mapping creating the RelatedEntity transient objects. spark cores & memory adjustments. Code formatting 2024-05-07 16:25:17 +02:00
Giambattista Bloisi 711048ceed PrepareRelationsJob rewritten to use Spark Dataframe API and Windowing functions 2024-05-07 15:44:33 +02:00
Sandro La Bruzzo db358ad0d2 code formatted 2024-05-02 15:25:57 +02:00
Sandro La Bruzzo 26bf8e763a merged from beta 2024-05-02 15:20:23 +02:00
Sandro La Bruzzo a860c57bbc updated .gitignore 2024-05-02 15:16:00 +02:00
Sandro La Bruzzo 0646d0d064 Updated main sparkApplication to avoid to require master variable 2024-05-02 15:15:03 +02:00
Michele Artini f4068de298 code reindent + tests 2024-05-02 09:51:33 +02:00
Michele Artini 2615136efc added a retry mechanism 2024-04-30 11:58:42 +02:00
Sandro La Bruzzo 133ead1e3e updated new version of scholexplorer Generation 2024-04-29 09:00:30 +02:00
Sandro La Bruzzo 052c6aac9d formatted code 2024-04-26 16:03:04 +02:00
Sandro La Bruzzo 9cd3bc0f10 Added a new generation of the dump for scholexplorer tested with last version of spark, and strongly refactored 2024-04-26 16:02:07 +02:00
Sandro La Bruzzo 0d628cd62b merged again from beta 2024-04-23 17:34:55 +02:00
Lampros Smyrnaios 49af2e5740 Miscellaneous updates to the copying operation to Impala Cluster:
- Update the algorithm for creating views that depend on other views; overcome some bash-instabilities.
- Upon any error, fail the whole process, not just the current DB-creation, as those errors usually indicate a bug in the initial DB-creation, that should be fixed immediately.
- Enhance parallel-copy of large files by "hadoop distcp" command.
- Reduce the "invalidate metadata" commands to just the current DB's tables, in order to eliminate the general overhead on Impala.
- Show the number of tables and views in the logs.
- Fix some log-messages.
2024-04-23 17:15:04 +03:00
Antonis Lempesis d2649a1429 increased the jvm ram 2024-04-23 16:03:16 +03:00
Sandro La Bruzzo 073f320c6a Added module containing all the dependencies, useful for spark deploy on k8. 2024-04-22 11:32:31 +02:00
Sandro La Bruzzo b84ad0c06e merged beta 2024-04-19 14:39:59 +02:00
Antonis Lempesis b52a5a753b Merge remote-tracking branch 'upstream/beta' into beta 2024-04-19 15:28:28 +03:00
Sandro La Bruzzo 8dd9cf84e2 code formatted 2024-04-19 12:30:59 +02:00
Sandro La Bruzzo 342cb6189b fixed problem on changed signature on RowEncoder
removed property dhp.schema.artifact
2024-04-19 12:13:26 +02:00
Antonis Lempesis c3fe9662b2 all indicator tables are now stored as parquet 2024-04-19 12:45:36 +03:00
Antonis Lempesis 0c71c58df6 fixed the definition of gold_oa 2024-04-18 12:01:27 +03:00
Antonis Lempesis 43d05dbebb fixed the definition of result_country 2024-04-18 11:53:50 +03:00
Antonis Lempesis e728a0897c fixed the definition of indi_pub_bronze_oa 2024-04-18 11:07:55 +03:00
Antonis Lempesis 308ae580a9 slight optimization in indi_pub_gold_oa definition 2024-04-18 10:57:52 +03:00
Antonis Lempesis 27d22bd8f9 slight optimization in indi_pub_gold_oa definition 2024-04-17 23:59:52 +03:00
Antonis Lempesis 1f5aba12fa slight optimization in indi_pub_gold_oa definition 2024-04-17 23:54:23 +03:00
Giambattista Bloisi 613ec5ffce Add profiles for different spark versions: spark-24, spark-34, spark-35 2023-12-05 19:11:06 +01:00
Sandro La Bruzzo 52495f2cd2 used javax.xml.stream.XMLEventReader instead of deprecated scala.xml.pull.XMLEventReader 2023-12-05 19:11:06 +01:00
Sandro La Bruzzo 8c3e9a09d3 added repository openaire-third-parties 2023-12-05 19:11:06 +01:00
Giambattista Bloisi 2fa78f6071 Changes requires to build and run tests with Java 17 2023-12-05 19:11:06 +01:00
Giambattista Bloisi 326c9dc08c Changes in maven poms to build and test the project using Spark 3.4.x and scala 2.12 2023-12-05 19:11:06 +01:00
124 changed files with 3785 additions and 2205 deletions

1
.gitignore vendored
View File

@ -27,3 +27,4 @@ spark-warehouse
/**/.factorypath
/**/.scalafmt.conf
/.java-version
/dhp-shade-package/dependency-reduced-pom.xml

View File

@ -80,7 +80,15 @@ class WritePredefinedProjectPropertiesTest {
mojo.outputFile = testFolder;
// execute
Assertions.assertThrows(MojoExecutionException.class, () -> mojo.execute());
try {
mojo.execute();
Assertions.assertTrue(false); // not reached
} catch (Exception e) {
Assertions
.assertTrue(
MojoExecutionException.class.isAssignableFrom(e.getClass()) ||
IllegalArgumentException.class.isAssignableFrom(e.getClass()));
}
}
@Test

View File

@ -70,10 +70,7 @@
<groupId>com.ibm.icu</groupId>
<artifactId>icu4j</artifactId>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
</dependency>
<dependency>
<groupId>com.github.sisyphsu</groupId>
<artifactId>dateparser</artifactId>
@ -163,7 +160,7 @@
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>${dhp-schemas.artifact}</artifactId>
<artifactId>dhp-schemas</artifactId>
</dependency>
<dependency>
@ -172,4 +169,23 @@
</dependency>
</dependencies>
<!-- dependencies required on JDK9+ because J2EE has been removed -->
<profiles>
<profile>
<id>spark-34</id>
<dependencies>
<dependency>
<groupId>javax.xml.bind</groupId>
<artifactId>jaxb-api</artifactId>
<version>2.2.11</version>
</dependency>
<dependency>
<groupId>com.sun.xml.ws</groupId>
<artifactId>jaxws-ri</artifactId>
<version>2.3.3</version>
<type>pom</type>
</dependency>
</dependencies>
</profile>
</profiles>
</project>

View File

@ -38,7 +38,7 @@ public class PacePerson {
PacePerson.class
.getResourceAsStream(
"/eu/dnetlib/dhp/common/name_particles.txt")));
} catch (IOException e) {
} catch (Exception e) {
throw new RuntimeException(e);
}
}

View File

@ -217,8 +217,6 @@ public class ZenodoAPIClient implements Serializable {
* part of the url for the DOI Zenodo suggests to use to cite all versions: DOI: 10.xxx/zenodo.656930
* concept_rec_id = 656930
* @return response code
* @throws IOException
* @throws MissingConceptDoiException
*/
public int newVersion(String concept_rec_id) throws IOException, MissingConceptDoiException {
setDepositionId(concept_rec_id, 1);

View File

@ -12,9 +12,7 @@ import java.util.concurrent.TimeUnit;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.apache.commons.lang3.time.DateUtils;
import org.apache.http.HttpHeaders;
import org.joda.time.Instant;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

View File

@ -0,0 +1,106 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import java.util.*;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
public class MergeEntitiesComparator implements Comparator<Oaf> {
static final List<String> PID_AUTHORITIES = Arrays
.asList(
ModelConstants.ARXIV_ID,
ModelConstants.PUBMED_CENTRAL_ID,
ModelConstants.EUROPE_PUBMED_CENTRAL_ID,
ModelConstants.DATACITE_ID,
ModelConstants.CROSSREF_ID);
static final List<String> RESULT_TYPES = Arrays
.asList(
ModelConstants.ORP_RESULTTYPE_CLASSID,
ModelConstants.SOFTWARE_RESULTTYPE_CLASSID,
ModelConstants.DATASET_RESULTTYPE_CLASSID,
ModelConstants.PUBLICATION_RESULTTYPE_CLASSID);
public static final Comparator<Oaf> INSTANCE = new MergeEntitiesComparator();
@Override
public int compare(Oaf left, Oaf right) {
if (left == null && right == null)
return 0;
if (left == null)
return -1;
if (right == null)
return 1;
int res = 0;
// pid authority
int cfp1 = Optional
.ofNullable(left.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(kv -> PID_AUTHORITIES.indexOf(kv.getKey()))
.max(Integer::compare)
.orElse(-1))
.orElse(-1);
int cfp2 = Optional
.ofNullable(right.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(kv -> PID_AUTHORITIES.indexOf(kv.getKey()))
.max(Integer::compare)
.orElse(-1))
.orElse(-1);
if (cfp1 >= 0 && cfp1 > cfp2) {
return 1;
} else if (cfp2 >= 0 && cfp2 > cfp1) {
return -1;
}
// trust
if (left.getDataInfo() != null && right.getDataInfo() != null) {
res = left.getDataInfo().getTrust().compareTo(right.getDataInfo().getTrust());
}
// result type
if (res == 0) {
if (left instanceof Result && right instanceof Result) {
Result r1 = (Result) left;
Result r2 = (Result) right;
if (r1.getResulttype() == null || r1.getResulttype().getClassid() == null) {
if (r2.getResulttype() != null && r2.getResulttype().getClassid() != null) {
return -1;
}
} else if (r2.getResulttype() == null || r2.getResulttype().getClassid() == null) {
return 1;
}
int rt1 = RESULT_TYPES.indexOf(r1.getResulttype().getClassid());
int rt2 = RESULT_TYPES.indexOf(r2.getResulttype().getClassid());
if (rt1 >= 0 && rt1 > rt2) {
return 1;
} else if (rt2 >= 0 && rt2 > rt1) {
return -1;
}
}
}
// id
if (res == 0) {
if (left instanceof OafEntity && right instanceof OafEntity) {
res = ((OafEntity) left).getId().compareTo(((OafEntity) right).getId());
}
}
return res;
}
}

View File

@ -40,27 +40,12 @@ public class MergeUtils {
public static <T extends Oaf> T mergeGroup(String s, Iterator<T> oafEntityIterator,
boolean checkDelegateAuthority) {
TreeSet<T> sortedEntities = new TreeSet<>((o1, o2) -> {
int res = 0;
if (o1.getDataInfo() != null && o2.getDataInfo() != null) {
res = o1.getDataInfo().getTrust().compareTo(o2.getDataInfo().getTrust());
}
ArrayList<T> sortedEntities = new ArrayList<>();
oafEntityIterator.forEachRemaining(sortedEntities::add);
sortedEntities.sort(MergeEntitiesComparator.INSTANCE.reversed());
if (res == 0) {
if (o1 instanceof Result && o2 instanceof Result) {
return ResultTypeComparator.INSTANCE.compare((Result) o1, (Result) o2);
}
}
return res;
});
while (oafEntityIterator.hasNext()) {
sortedEntities.add(oafEntityIterator.next());
}
Iterator<T> it = sortedEntities.descendingIterator();
Iterator<T> it = sortedEntities.iterator();
T merged = it.next();
while (it.hasNext()) {
@ -143,7 +128,7 @@ public class MergeUtils {
* https://graph.openaire.eu/docs/data-model/pids-and-identifiers#delegated-authorities and in that case it prefers
* such version.
* <p>
* Otherwise, it considers a resulttype priority order implemented in {@link ResultTypeComparator}
* Otherwise, it considers a resulttype priority order implemented in {@link MergeEntitiesComparator}
* and proceeds with the canonical property merging.
*
* @param left
@ -161,8 +146,9 @@ public class MergeUtils {
if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
return right;
}
// TODO: raise trust to have preferred fields from one or the other??
if (new ResultTypeComparator().compare(left, right) < 0) {
if (MergeEntitiesComparator.INSTANCE.compare(left, right) > 0) {
return mergeResultFields(left, right);
} else {
return mergeResultFields(right, left);
@ -225,9 +211,9 @@ public class MergeUtils {
private static <T, K> List<T> mergeLists(final List<T> left, final List<T> right, int trust,
Function<T, K> keyExtractor, BinaryOperator<T> merger) {
if (left == null) {
return right;
} else if (right == null) {
if (left == null || left.isEmpty()) {
return right != null ? right : new ArrayList<>();
} else if (right == null || right.isEmpty()) {
return left;
}
@ -405,7 +391,7 @@ public class MergeUtils {
}
// should be an instance attribute, get the first non-null value
merge.setLanguage(coalesce(merge.getLanguage(), enrich.getLanguage()));
merge.setLanguage(coalesceQualifier(merge.getLanguage(), enrich.getLanguage()));
// distinct countries, do not manage datainfo
merge.setCountry(mergeQualifiers(merge.getCountry(), enrich.getCountry(), trust));
@ -575,6 +561,13 @@ public class MergeUtils {
return m != null ? m : e;
}
private static Qualifier coalesceQualifier(Qualifier m, Qualifier e) {
if (m == null || m.getClassid() == null || StringUtils.isBlank(m.getClassid())) {
return e;
}
return m;
}
private static List<Author> mergeAuthors(List<Author> author, List<Author> author1, int trust) {
List<List<Author>> authors = new ArrayList<>();
if (author != null) {
@ -587,6 +580,10 @@ public class MergeUtils {
}
private static String instanceKeyExtractor(Instance i) {
// three levels of concatenating:
// 1. ::
// 2. @@
// 3. ||
return String
.join(
"::",
@ -594,10 +591,10 @@ public class MergeUtils {
kvKeyExtractor(i.getCollectedfrom()),
qualifierKeyExtractor(i.getAccessright()),
qualifierKeyExtractor(i.getInstancetype()),
Optional.ofNullable(i.getUrl()).map(u -> String.join("::", u)).orElse(null),
Optional.ofNullable(i.getUrl()).map(u -> String.join("@@", u)).orElse(null),
Optional
.ofNullable(i.getPid())
.map(pp -> pp.stream().map(MergeUtils::spKeyExtractor).collect(Collectors.joining("::")))
.map(pp -> pp.stream().map(MergeUtils::spKeyExtractor).collect(Collectors.joining("@@")))
.orElse(null));
}
@ -706,7 +703,7 @@ public class MergeUtils {
private static String spKeyExtractor(StructuredProperty sp) {
return Optional
.ofNullable(sp)
.map(s -> Joiner.on("::").join(s, qualifierKeyExtractor(s.getQualifier())))
.map(s -> Joiner.on("||").join(qualifierKeyExtractor(s.getQualifier()), s.getValue()))
.orElse(null);
}

View File

@ -1,87 +0,0 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static eu.dnetlib.dhp.schema.common.ModelConstants.CROSSREF_ID;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Optional;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Result;
public class ResultTypeComparator implements Comparator<Result> {
public static final ResultTypeComparator INSTANCE = new ResultTypeComparator();
@Override
public int compare(Result left, Result right) {
if (left == null && right == null)
return 0;
if (left == null)
return 1;
if (right == null)
return -1;
HashSet<String> lCf = getCollectedFromIds(left);
HashSet<String> rCf = getCollectedFromIds(right);
if (lCf.contains(CROSSREF_ID) && !rCf.contains(CROSSREF_ID)) {
return -1;
}
if (!lCf.contains(CROSSREF_ID) && rCf.contains(CROSSREF_ID)) {
return 1;
}
if (left.getResulttype() == null || left.getResulttype().getClassid() == null) {
if (right.getResulttype() == null || right.getResulttype().getClassid() == null) {
return 0;
}
return 1;
} else if (right.getResulttype() == null || right.getResulttype().getClassid() == null) {
return -1;
}
String lClass = left.getResulttype().getClassid();
String rClass = right.getResulttype().getClassid();
if (!lClass.equals(rClass)) {
if (lClass.equals(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.DATASET_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.DATASET_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.SOFTWARE_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.SOFTWARE_RESULTTYPE_CLASSID))
return 1;
if (lClass.equals(ModelConstants.ORP_RESULTTYPE_CLASSID))
return -1;
if (rClass.equals(ModelConstants.ORP_RESULTTYPE_CLASSID))
return 1;
}
// Else (but unlikely), lexicographical ordering will do.
return lClass.compareTo(rClass);
}
protected HashSet<String> getCollectedFromIds(Result left) {
return Optional
.ofNullable(left.getCollectedfrom())
.map(
cf -> cf
.stream()
.map(KeyValue::getKey)
.collect(Collectors.toCollection(HashSet::new)))
.orElse(new HashSet<>());
}
}

View File

@ -154,5 +154,13 @@
"unknown":{
"original":"Unknown",
"inverse":"Unknown"
},
"isamongtopnsimilardocuments": {
"original": "IsAmongTopNSimilarDocuments",
"inverse": "HasAmongTopNSimilarDocuments"
},
"hasamongtopnsimilardocuments": {
"original": "HasAmongTopNSimilarDocuments",
"inverse": "IsAmongTopNSimilarDocuments"
}
}

View File

@ -65,12 +65,13 @@ abstract class AbstractScalaApplication(
val conf: SparkConf = new SparkConf()
val master = parser.get("master")
log.info(s"Creating Spark session: Master: $master")
SparkSession
val b = SparkSession
.builder()
.config(conf)
.appName(getClass.getSimpleName)
.master(master)
.getOrCreate()
if (master != null)
b.master(master)
b.getOrCreate()
}
def reportTotalSize(targetPath: String, outputBasePath: String): Unit = {

View File

@ -65,7 +65,11 @@ object ScholixUtils extends Serializable {
}
def generateScholixResourceFromResult(r: Result): ScholixResource = {
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
val sum = ScholixUtils.resultToSummary(r)
if (sum != null)
generateScholixResourceFromSummary(ScholixUtils.resultToSummary(r))
else
null
}
val statsAggregator: Aggregator[(String, String, Long), RelatedEntities, RelatedEntities] =
@ -153,6 +157,14 @@ object ScholixUtils extends Serializable {
}
def invRel(rel: String): String = {
val semanticRelation = relations.getOrElse(rel.toLowerCase, null)
if (semanticRelation != null)
semanticRelation.inverse
else
null
}
def extractCollectedFrom(summary: ScholixResource): List[ScholixEntityId] = {
if (summary.getCollectedFrom != null && !summary.getCollectedFrom.isEmpty) {
val l: List[ScholixEntityId] = summary.getCollectedFrom.asScala.map { d =>
@ -377,10 +389,7 @@ object ScholixUtils extends Serializable {
if (persistentIdentifiers.isEmpty)
return null
s.setLocalIdentifier(persistentIdentifiers.asJava)
if (r.isInstanceOf[Publication])
s.setTypology(Typology.publication)
else
s.setTypology(Typology.dataset)
// s.setTypology(r.getResulttype.getClassid)
s.setSubType(r.getInstance().get(0).getInstancetype.getClassname)

View File

@ -24,7 +24,7 @@
<executions>
<execution>
<id>scala-compile-first</id>
<phase>initialize</phase>
<phase>process-resources</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
@ -59,14 +59,6 @@
<groupId>edu.cmu</groupId>
<artifactId>secondstring</artifactId>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
@ -91,10 +83,6 @@
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
</dependency>
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
@ -113,4 +101,90 @@
</dependency>
</dependencies>
<profiles>
<profile>
<id>spark-24</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-2</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-34</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-2</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-35</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/spark-35</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
</project>

View File

@ -1,12 +1,6 @@
package eu.dnetlib.pace.common;
import com.google.common.base.Joiner;
import com.google.common.collect.Sets;
import com.ibm.icu.text.Transliterator;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import java.io.IOException;
import java.io.StringWriter;
import java.nio.charset.StandardCharsets;
@ -15,6 +9,13 @@ import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import com.google.common.base.Joiner;
import com.google.common.collect.Sets;
import com.ibm.icu.text.Transliterator;
/**
* Set of common functions for the framework
*

View File

@ -3,7 +3,7 @@ package eu.dnetlib.pace.model
import com.jayway.jsonpath.{Configuration, JsonPath}
import eu.dnetlib.pace.common.AbstractPaceFunctions
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.MapDocumentUtil
import eu.dnetlib.pace.util.{MapDocumentUtil, SparkCompatUtils}
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
@ -52,7 +52,7 @@ case class SparkModel(conf: DedupConfig) {
val orderingFieldPosition: Int = schema.fieldIndex(orderingFieldName)
val parseJsonDataset: (Dataset[String] => Dataset[Row]) = df => {
df.map(r => rowFromJson(r))(RowEncoder(schema))
df.map(r => rowFromJson(r))(SparkCompatUtils.encoderFor(schema))
}
def rowFromJson(json: String): Row = {

View File

@ -0,0 +1,12 @@
package eu.dnetlib.pace.util
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
import org.apache.spark.sql.types.StructType
object SparkCompatUtils {
def encoderFor(schema: StructType): ExpressionEncoder[Row] = {
RowEncoder(schema)
}
}

View File

@ -0,0 +1,12 @@
package eu.dnetlib.pace.util
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.types.StructType
object SparkCompatUtils {
def encoderFor(schema: StructType): ExpressionEncoder[Row] = {
ExpressionEncoder(schema)
}
}

View File

@ -11,6 +11,7 @@ import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import eu.dnetlib.pace.model.Person;
import jdk.nashorn.internal.ir.annotations.Ignore;
public class UtilTest {

View File

@ -0,0 +1,113 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<parent>
<artifactId>dhp</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>dhp-shade-package</artifactId>
<description>This module create a jar of all module dependencies</description>
<build>
<plugins>
<plugin>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer>
<mainClass>eu.dnetlib.dhp.oa.dedup.SparkCreateSimRels</mainClass>
</transformer>
<transformer />
<transformer>
<resource>META-INF/cxf/bus-extensions.txt</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<dependencies>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.28</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter</artifactId>
<version>5.6.1</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>junit-jupiter-api</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
<exclusion>
<artifactId>junit-jupiter-params</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
<exclusion>
<artifactId>junit-jupiter-engine</artifactId>
<groupId>org.junit.jupiter</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-core</artifactId>
<version>3.3.3</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>byte-buddy</artifactId>
<groupId>net.bytebuddy</groupId>
</exclusion>
<exclusion>
<artifactId>byte-buddy-agent</artifactId>
<groupId>net.bytebuddy</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-junit-jupiter</artifactId>
<version>3.3.3</version>
<scope>test</scope>
</dependency>
</dependencies>
<distributionManagement>
<site>
<id>DHPSite</id>
<url>${dhp.site.stage.path}/dhp-common</url>
</site>
</distributionManagement>
</project>

169
dhp-shade-package/pom.xml Normal file
View File

@ -0,0 +1,169 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp</artifactId>
<version>1.2.5-SNAPSHOT</version>
<relativePath>../pom.xml</relativePath>
</parent>
<artifactId>dhp-shade-package</artifactId>
<packaging>jar</packaging>
<distributionManagement>
<site>
<id>DHPSite</id>
<url>${dhp.site.stage.path}/dhp-common</url>
</site>
</distributionManagement>
<description>This module create a jar of all module dependencies</description>
<dependencies>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-actionmanager</artifactId>
<version>${project.version}</version>
</dependency>
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-aggregation</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-blacklist</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-broker-events</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-dedup-openaire</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>eu.dnetlib.dhp</groupId>-->
<!-- <artifactId>dhp-enrichment</artifactId>-->
<!-- <version>${project.version}</version>-->
<!-- </dependency>-->
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-mapper</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-graph-provision</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-impact-indicators</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-actionsets</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-hist-snaps</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-monitor-irish</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-promote</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-stats-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-swh</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-raw-data-update</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-usage-stats-build</artifactId>
<version>${project.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>eu.dnetlib.dhp.oa.dedup.SparkCreateSimRels</mainClass>
</transformer>
<!-- This is needed if you have dependencies that use Service Loader. Most Google Cloud client libraries do. -->
<transformer
implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>META-INF/cxf/bus-extensions.txt</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -156,6 +157,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -125,6 +125,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -155,11 +156,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=2560
--conf spark.sql.shuffle.partitions=8000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>

View File

@ -95,6 +95,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -103,11 +103,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${inputGraphRootPath}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
@ -156,11 +157,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>

View File

@ -95,11 +95,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=10000
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${inputGraphRootPath}/relation</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Relation</arg>

View File

@ -103,6 +103,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -155,11 +156,12 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=2560
--conf spark.sql.shuffle.partitions=4000
</spark-opts>
<arg>--inputGraphTablePath</arg><arg>${workingDir}/software</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>

View File

@ -9,6 +9,7 @@ import java.util.List;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
@ -106,7 +107,7 @@ public class PrepareAffiliationRelations implements Serializable {
.union(openAPCRelations)
.union(dataciteRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
});
}

View File

@ -10,6 +10,7 @@ import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.BZip2Codec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
@ -83,7 +84,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
resultsRDD
.union(projectsRDD)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
});
}

View File

@ -115,19 +115,7 @@ public class PrepareFOSSparkJob implements Serializable {
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}

View File

@ -81,19 +81,7 @@ public class PrepareSDGSparkJob implements Serializable {
s -> sbjs
.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}, Encoders.bean(Result.class))
.write()

View File

@ -12,6 +12,7 @@ import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.types.StructType;
@ -70,6 +71,9 @@ public class CreateActionSetFromWebEntries implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String blackListInputPath = parser.get("blackListPath");
log.info("blackListInputPath: {}", blackListInputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
@ -77,29 +81,35 @@ public class CreateActionSetFromWebEntries implements Serializable {
isSparkSessionManaged,
spark -> {
createActionSet(spark, inputPath, outputPath);
createActionSet(spark, inputPath, outputPath, blackListInputPath);
});
}
public static void createActionSet(SparkSession spark, String inputPath,
String outputPath) {
String outputPath, String blackListInputPath) {
final Dataset<Row> dataset = readWebCrawl(spark, inputPath)
.filter("publication_year <= 2020 or country_code=='IE'")
.filter("country_code=='IE'")
.drop("publication_year");
dataset.flatMap((FlatMapFunction<Row, Relation>) row -> {
List<Relation> ret = new ArrayList<>();
final String ror = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAs("ror")));
ret.addAll(createAffiliationRelationPairDOI(row.getAs("doi"), ror));
ret.addAll(createAffiliationRelationPairPMID(row.getAs("pmid"), ror));
ret.addAll(createAffiliationRelationPairPMCID(row.getAs("pmcid"), ror));
final Dataset<Row> blackList = readBlackList(spark, blackListInputPath);
return ret
.iterator();
}, Encoders.bean(Relation.class))
dataset
.join(blackList, dataset.col("id").equalTo(blackList.col("OpenAlexId")), "left")
.filter((FilterFunction<Row>) r -> r.getAs("OpenAlexId") == null)
.drop("OpenAlexId")
.flatMap((FlatMapFunction<Row, Relation>) row -> {
List<Relation> ret = new ArrayList<>();
final String ror = ROR_PREFIX
+ IdentifierFactory.md5(PidCleaner.normalizePidValue("ROR", row.getAs("ror")));
ret.addAll(createAffiliationRelationPairDOI(row.getAs("doi"), ror));
ret.addAll(createAffiliationRelationPairPMID(row.getAs("pmid"), ror));
ret.addAll(createAffiliationRelationPairPMCID(row.getAs("pmcid"), ror));
return ret
.iterator();
}, Encoders.bean(Relation.class))
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
@ -136,6 +146,15 @@ public class CreateActionSetFromWebEntries implements Serializable {
}
private static Dataset<Row> readBlackList(SparkSession spark, String inputPath) {
return spark
.read()
.option("header", true)
.csv(inputPath)
.select("OpenAlexId");
}
private static List<Relation> createAffiliationRelationPairPMCID(String pmcid, String ror) {
if (pmcid == null)
return new ArrayList<>();

View File

@ -1,6 +1,7 @@
package eu.dnetlib.dhp.collection.plugin.rest;
import java.util.Map;
import java.util.Optional;
import java.util.Spliterator;
import java.util.Spliterators;
@ -9,6 +10,8 @@ import java.util.stream.StreamSupport;
import org.apache.commons.lang3.StringUtils;
import com.google.gson.Gson;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
@ -47,6 +50,9 @@ public class RestCollectorPlugin implements CollectorPlugin {
final String entityXpath = api.getParams().get("entityXpath");
final String authMethod = api.getParams().get("authMethod");
final String authToken = api.getParams().get("authToken");
final String requestHeaderMap = api.getParams().get("requestHeaderMap");
Gson gson = new Gson();
Map requestHeaders = gson.fromJson(requestHeaderMap, Map.class);
final String resultSizeValue = Optional
.ofNullable(api.getParams().get("resultSizeValue"))
.filter(StringUtils::isNotBlank)
@ -64,9 +70,6 @@ public class RestCollectorPlugin implements CollectorPlugin {
if (StringUtils.isBlank(resultFormatValue)) {
throw new CollectorException("Param 'resultFormatValue' is null or empty");
}
if (StringUtils.isBlank(queryParams)) {
throw new CollectorException("Param 'queryParams' is null or empty");
}
if (StringUtils.isBlank(entityXpath)) {
throw new CollectorException("Param 'entityXpath' is null or empty");
}
@ -92,7 +95,8 @@ public class RestCollectorPlugin implements CollectorPlugin {
entityXpath,
authMethod,
authToken,
resultOutputFormat);
resultOutputFormat,
requestHeaders);
return StreamSupport
.stream(

View File

@ -9,8 +9,11 @@ import java.net.URL;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.Iterator;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import javax.xml.transform.OutputKeys;
import javax.xml.transform.Transformer;
@ -22,20 +25,20 @@ import javax.xml.xpath.*;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.HttpHeaders;
import org.apache.http.entity.ContentType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.w3c.dom.Node;
import org.w3c.dom.NodeList;
import org.xml.sax.InputSource;
import com.google.common.collect.Maps;
import eu.dnetlib.dhp.collection.plugin.utils.JsonUtils;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
/**
* log.info(...) equal to log.trace(...) in the application-logs
* log.info(...) equal to log.trace(...) in the application-logs
* <p>
* known bug: at resumptionType 'discover' if the (resultTotal % resultSizeValue) == 0 the collecting fails -> change the resultSizeValue
*
@ -44,24 +47,29 @@ import eu.dnetlib.dhp.common.collection.HttpClientParams;
*
*/
public class RestIterator implements Iterator<String> {
private static final Logger log = LoggerFactory.getLogger(RestIterator.class);
public static final String UTF_8 = "UTF-8";
private static final int MAX_ATTEMPTS = 5;
private final HttpClientParams clientParams;
private final String BASIC = "basic";
private final String AUTHBASIC = "basic";
private static final String XML_HEADER = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
private static final String EMPTY_XML = XML_HEADER + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG
+ ">";
private final String baseUrl;
private final String resumptionType;
private final String resumptionParam;
private final String resultFormatValue;
private String queryParams;
private String queryParams = "";
private final int resultSizeValue;
private int resumptionInt = 0; // integer resumption token (first record to harvest)
private int resultTotal = -1;
private String resumptionStr = Integer.toString(resumptionInt); // string resumption token (first record to harvest
// or token scanned from results)
private String resumptionStr = Integer.toString(this.resumptionInt); // string resumption token (first record to
// harvest
// or token scanned from results)
private InputStream resultStream;
private Transformer transformer;
private XPath xpath;
@ -73,7 +81,7 @@ public class RestIterator implements Iterator<String> {
private final String querySize;
private final String authMethod;
private final String authToken;
private final Queue<String> recordQueue = new PriorityBlockingQueue<String>();
private final Queue<String> recordQueue = new PriorityBlockingQueue<>();
private int discoverResultSize = 0;
private int pagination = 1;
/*
@ -83,8 +91,13 @@ public class RestIterator implements Iterator<String> {
*/
private final String resultOutputFormat;
/** RestIterator class
* compatible to version 1.3.33
/*
* Can be used to set additional request headers, like for content negotiation
*/
private Map<String, String> requestHeaders;
/**
* RestIterator class compatible to version 1.3.33
*/
public RestIterator(
final HttpClientParams clientParams,
@ -101,47 +114,56 @@ public class RestIterator implements Iterator<String> {
final String entityXpath,
final String authMethod,
final String authToken,
final String resultOutputFormat) {
final String resultOutputFormat,
final Map<String, String> requestHeaders) {
this.clientParams = clientParams;
this.baseUrl = baseUrl;
this.resumptionType = resumptionType;
this.resumptionParam = resumptionParam;
this.resultFormatValue = resultFormatValue;
this.resultSizeValue = Integer.valueOf(resultSizeValueStr);
this.resultSizeValue = Integer.parseInt(resultSizeValueStr);
this.queryParams = queryParams;
this.authMethod = authMethod;
this.authToken = authToken;
this.resultOutputFormat = resultOutputFormat;
this.requestHeaders = requestHeaders != null ? requestHeaders : Maps.newHashMap();
queryFormat = StringUtils.isNotBlank(resultFormatParam) ? "&" + resultFormatParam + "=" + resultFormatValue
this.queryFormat = StringUtils.isNotBlank(resultFormatParam) ? "&" + resultFormatParam + "=" + resultFormatValue
: "";
this.querySize = StringUtils.isNotBlank(resultSizeParam) ? "&" + resultSizeParam + "=" + resultSizeValueStr
: "";
querySize = StringUtils.isNotBlank(resultSizeParam) ? "&" + resultSizeParam + "=" + resultSizeValueStr : "";
try {
initXmlTransformation(resultTotalXpath, resumptionXpath, entityXpath);
} catch (Exception e) {
} catch (final Exception e) {
throw new IllegalStateException("xml transformation init failed: " + e.getMessage());
}
initQueue();
}
private void initXmlTransformation(String resultTotalXpath, String resumptionXpath, String entityXpath)
private void initXmlTransformation(final String resultTotalXpath, final String resumptionXpath,
final String entityXpath)
throws TransformerConfigurationException, XPathExpressionException {
final TransformerFactory factory = TransformerFactory.newInstance();
transformer = factory.newTransformer();
transformer.setOutputProperty(OutputKeys.INDENT, "yes");
transformer.setOutputProperty("{http://xml.apache.org/xslt}indent-amount", "3");
xpath = XPathFactory.newInstance().newXPath();
xprResultTotalPath = xpath.compile(resultTotalXpath);
xprResumptionPath = xpath.compile(StringUtils.isBlank(resumptionXpath) ? "/" : resumptionXpath);
xprEntity = xpath.compile(entityXpath);
this.transformer = factory.newTransformer();
this.transformer.setOutputProperty(OutputKeys.INDENT, "yes");
this.transformer.setOutputProperty("{http://xml.apache.org/xslt}indent-amount", "3");
this.xpath = XPathFactory.newInstance().newXPath();
this.xprResultTotalPath = this.xpath.compile(resultTotalXpath);
this.xprResumptionPath = this.xpath.compile(StringUtils.isBlank(resumptionXpath) ? "/" : resumptionXpath);
this.xprEntity = this.xpath.compile(entityXpath);
}
private void initQueue() {
query = baseUrl + "?" + queryParams + querySize + queryFormat;
log.info("REST calls starting with {}", query);
if (queryParams.equals("") && querySize.equals("") && queryFormat.equals("")) {
query = baseUrl;
} else {
query = baseUrl + "?" + queryParams + querySize + queryFormat;
}
log.info("REST calls starting with {}", this.query);
}
private void disconnect() {
@ -154,12 +176,11 @@ public class RestIterator implements Iterator<String> {
*/
@Override
public boolean hasNext() {
if (recordQueue.isEmpty() && query.isEmpty()) {
if (this.recordQueue.isEmpty() && this.query.isEmpty()) {
disconnect();
return false;
} else {
return true;
}
return true;
}
/*
@ -168,214 +189,255 @@ public class RestIterator implements Iterator<String> {
*/
@Override
public String next() {
synchronized (recordQueue) {
while (recordQueue.isEmpty() && !query.isEmpty()) {
synchronized (this.recordQueue) {
while (this.recordQueue.isEmpty() && !this.query.isEmpty()) {
try {
query = downloadPage(query);
} catch (CollectorException e) {
this.query = downloadPage(this.query, 0);
} catch (final CollectorException e) {
log.debug("CollectorPlugin.next()-Exception: {}", e);
throw new RuntimeException(e);
}
}
return recordQueue.poll();
return this.recordQueue.poll();
}
}
/*
* download page and return nextQuery
* download page and return nextQuery (with number of attempt)
*/
private String downloadPage(String query) throws CollectorException {
String resultJson;
String resultXml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
String nextQuery = "";
String emptyXml = resultXml + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG + ">";
Node resultNode = null;
NodeList nodeList = null;
String qUrlArgument = "";
int urlOldResumptionSize = 0;
InputStream theHttpInputStream;
private String downloadPage(String query, final int attempt) throws CollectorException {
// check if cursor=* is initial set otherwise add it to the queryParam URL
if (resumptionType.equalsIgnoreCase("deep-cursor")) {
log.debug("check resumptionType deep-cursor and check cursor=*?{}", query);
if (!query.contains("&cursor=")) {
query += "&cursor=*";
if (attempt > MAX_ATTEMPTS) {
throw new CollectorException("Max Number of attempts reached, query:" + query);
}
if (attempt > 0) {
final int delay = (attempt * 5000);
log.debug("Attempt {} with delay {}", attempt, delay);
try {
Thread.sleep(delay);
} catch (final InterruptedException e) {
new CollectorException(e);
}
}
try {
log.info("requestig URL [{}]", query);
String resultJson;
String resultXml = XML_HEADER;
String nextQuery = "";
Node resultNode = null;
NodeList nodeList = null;
String qUrlArgument = "";
int urlOldResumptionSize = 0;
InputStream theHttpInputStream;
URL qUrl = new URL(query);
log.debug("authMethod: {}", authMethod);
if ("bearer".equalsIgnoreCase(this.authMethod)) {
log.trace("authMethod before inputStream: {}", resultXml);
HttpURLConnection conn = (HttpURLConnection) qUrl.openConnection();
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + authToken);
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.getMimeType());
conn.setRequestMethod("GET");
theHttpInputStream = conn.getInputStream();
} else if (BASIC.equalsIgnoreCase(this.authMethod)) {
log.trace("authMethod before inputStream: {}", resultXml);
HttpURLConnection conn = (HttpURLConnection) qUrl.openConnection();
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Basic " + authToken);
conn.setRequestProperty(HttpHeaders.ACCEPT, ContentType.APPLICATION_XML.getMimeType());
conn.setRequestMethod("GET");
theHttpInputStream = conn.getInputStream();
} else {
theHttpInputStream = qUrl.openStream();
}
resultStream = theHttpInputStream;
if ("json".equals(resultOutputFormat)) {
resultJson = IOUtils.toString(resultStream, StandardCharsets.UTF_8);
resultXml = JsonUtils.convertToXML(resultJson);
resultStream = IOUtils.toInputStream(resultXml, UTF_8);
}
if (!(emptyXml).equalsIgnoreCase(resultXml)) {
resultNode = (Node) xpath.evaluate("/", new InputSource(resultStream), XPathConstants.NODE);
nodeList = (NodeList) xprEntity.evaluate(resultNode, XPathConstants.NODESET);
log.debug("nodeList.length: {}", nodeList.getLength());
for (int i = 0; i < nodeList.getLength(); i++) {
StringWriter sw = new StringWriter();
transformer.transform(new DOMSource(nodeList.item(i)), new StreamResult(sw));
String toEnqueue = sw.toString();
if (toEnqueue == null || StringUtils.isBlank(toEnqueue) || emptyXml.equalsIgnoreCase(toEnqueue)) {
log.warn("The following record resulted in empty item for the feeding queue: {}", resultXml);
} else {
recordQueue.add(sw.toString());
}
// check if cursor=* is initial set otherwise add it to the queryParam URL
if ("deep-cursor".equalsIgnoreCase(this.resumptionType)) {
log.debug("check resumptionType deep-cursor and check cursor=*?{}", query);
if (!query.contains("&cursor=")) {
query += "&cursor=*";
}
} else {
log.warn("resultXml is equal with emptyXml");
}
resumptionInt += resultSizeValue;
// find pagination page start number in queryParam and remove before start the first query
if ((resumptionType.toLowerCase().equals("pagination") || resumptionType.toLowerCase().equals("page"))
&& (query.contains("paginationStart="))) {
switch (resumptionType.toLowerCase()) {
case "scan": // read of resumptionToken , evaluate next results, e.g. OAI, iterate over items
resumptionStr = xprResumptionPath.evaluate(resultNode);
break;
final Matcher m = Pattern.compile("paginationStart=([0-9]+)").matcher(query);
m.find(); // guaranteed to be true for this regex
case "count": // begin at one step for all records, iterate over items
resumptionStr = Integer.toString(resumptionInt);
break;
String[] pageVal = m.group(0).split("=");
pagination = Integer.parseInt(pageVal[1]);
case "discover": // size of result items unknown, iterate over items (for openDOAR - 201808)
if (resultSizeValue < 2) {
throw new CollectorException("Mode: discover, Param 'resultSizeValue' is less than 2");
// remove page start number from queryParams
query = query.replaceFirst("&?paginationStart=[0-9]+", "");
}
try {
log.info("requesting URL [{}]", query);
final URL qUrl = new URL(query);
log.debug("authMethod: {}", this.authMethod);
if (this.authMethod == "bearer") {
log.trace("RestIterator.downloadPage():: authMethod before inputStream: " + resultXml);
requestHeaders.put("Authorization", "Bearer " + authToken);
// requestHeaders.put("Content-Type", "application/json");
} else if (AUTHBASIC.equalsIgnoreCase(this.authMethod)) {
log.trace("RestIterator.downloadPage():: authMethod before inputStream: " + resultXml);
requestHeaders.put("Authorization", "Basic " + authToken);
// requestHeaders.put("accept", "application/xml");
}
HttpURLConnection conn = (HttpURLConnection) qUrl.openConnection();
conn.setRequestMethod("GET");
this.setRequestHeader(conn);
resultStream = conn.getInputStream();
if ("json".equals(this.resultOutputFormat)) {
resultJson = IOUtils.toString(this.resultStream, StandardCharsets.UTF_8);
resultXml = JsonUtils.convertToXML(resultJson);
this.resultStream = IOUtils.toInputStream(resultXml, UTF_8);
}
if (!isEmptyXml(resultXml)) {
resultNode = (Node) this.xpath
.evaluate("/", new InputSource(this.resultStream), XPathConstants.NODE);
nodeList = (NodeList) this.xprEntity.evaluate(resultNode, XPathConstants.NODESET);
log.debug("nodeList.length: {}", nodeList.getLength());
for (int i = 0; i < nodeList.getLength(); i++) {
final StringWriter sw = new StringWriter();
this.transformer.transform(new DOMSource(nodeList.item(i)), new StreamResult(sw));
final String toEnqueue = sw.toString();
if ((toEnqueue == null) || StringUtils.isBlank(toEnqueue) || isEmptyXml(toEnqueue)) {
log
.warn(
"The following record resulted in empty item for the feeding queue: {}", resultXml);
} else {
this.recordQueue.add(sw.toString());
}
}
qUrlArgument = qUrl.getQuery();
String[] arrayQUrlArgument = qUrlArgument.split("&");
for (String arrayUrlArgStr : arrayQUrlArgument) {
if (arrayUrlArgStr.startsWith(resumptionParam)) {
String[] resumptionKeyValue = arrayUrlArgStr.split("=");
if (isInteger(resumptionKeyValue[1])) {
urlOldResumptionSize = Integer.parseInt(resumptionKeyValue[1]);
log.debug("discover OldResumptionSize from Url (int): {}", urlOldResumptionSize);
} else {
log.debug("discover OldResumptionSize from Url (str): {}", resumptionKeyValue[1]);
} else {
log.warn("resultXml is equal with emptyXml");
}
this.resumptionInt += this.resultSizeValue;
switch (this.resumptionType.toLowerCase()) {
case "scan": // read of resumptionToken , evaluate next results, e.g. OAI, iterate over items
this.resumptionStr = this.xprResumptionPath.evaluate(resultNode);
break;
case "count": // begin at one step for all records, iterate over items
this.resumptionStr = Integer.toString(this.resumptionInt);
break;
case "discover": // size of result items unknown, iterate over items (for openDOAR - 201808)
if (this.resultSizeValue < 2) {
throw new CollectorException("Mode: discover, Param 'resultSizeValue' is less than 2");
}
qUrlArgument = qUrl.getQuery();
final String[] arrayQUrlArgument = qUrlArgument.split("&");
for (final String arrayUrlArgStr : arrayQUrlArgument) {
if (arrayUrlArgStr.startsWith(this.resumptionParam)) {
final String[] resumptionKeyValue = arrayUrlArgStr.split("=");
if (isInteger(resumptionKeyValue[1])) {
urlOldResumptionSize = Integer.parseInt(resumptionKeyValue[1]);
log.debug("discover OldResumptionSize from Url (int): {}", urlOldResumptionSize);
} else {
log.debug("discover OldResumptionSize from Url (str): {}", resumptionKeyValue[1]);
}
}
}
}
if (((emptyXml).equalsIgnoreCase(resultXml))
|| ((nodeList != null) && (nodeList.getLength() < resultSizeValue))) {
// resumptionStr = "";
if (nodeList != null) {
discoverResultSize += nodeList.getLength();
if (isEmptyXml(resultXml)
|| ((nodeList != null) && (nodeList.getLength() < this.resultSizeValue))) {
// resumptionStr = "";
if (nodeList != null) {
this.discoverResultSize += nodeList.getLength();
}
this.resultTotal = this.discoverResultSize;
} else {
this.resumptionStr = Integer.toString(this.resumptionInt);
this.resultTotal = this.resumptionInt + 1;
if (nodeList != null) {
this.discoverResultSize += nodeList.getLength();
}
}
resultTotal = discoverResultSize;
} else {
resumptionStr = Integer.toString(resumptionInt);
resultTotal = resumptionInt + 1;
if (nodeList != null) {
discoverResultSize += nodeList.getLength();
log.info("discoverResultSize: {}", this.discoverResultSize);
break;
case "pagination":
case "page": // pagination, iterate over page numbers
if (nodeList != null && nodeList.getLength() > 0) {
this.discoverResultSize += nodeList.getLength();
} else {
this.resultTotal = this.discoverResultSize;
this.pagination = this.discoverResultSize;
}
}
log.info("discoverResultSize: {}", discoverResultSize);
break;
this.pagination += 1;
this.resumptionInt = this.pagination;
this.resumptionStr = Integer.toString(this.resumptionInt);
break;
case "pagination":
case "page": // pagination, iterate over page numbers
pagination += 1;
if (nodeList != null) {
discoverResultSize += nodeList.getLength();
} else {
resultTotal = discoverResultSize;
pagination = discoverResultSize;
}
resumptionInt = pagination;
resumptionStr = Integer.toString(resumptionInt);
break;
case "deep-cursor": // size of result items unknown, iterate over items (for supporting deep cursor
// in
// solr)
// isn't relevant -- if (resultSizeValue < 2) {throw new CollectorServiceException("Mode:
// deep-cursor, Param 'resultSizeValue' is less than 2");}
case "deep-cursor": // size of result items unknown, iterate over items (for supporting deep cursor in
// solr)
// isn't relevant -- if (resultSizeValue < 2) {throw new CollectorServiceException("Mode:
// deep-cursor, Param 'resultSizeValue' is less than 2");}
this.resumptionStr = encodeValue(this.xprResumptionPath.evaluate(resultNode));
this.queryParams = this.queryParams.replace("&cursor=*", "");
resumptionStr = encodeValue(xprResumptionPath.evaluate(resultNode));
queryParams = queryParams.replace("&cursor=*", "");
// terminating if length of nodeList is 0
if ((nodeList != null) && (nodeList.getLength() < this.discoverResultSize)) {
this.resumptionInt += ((nodeList.getLength() + 1) - this.resultSizeValue);
} else {
this.resumptionInt += (nodeList.getLength() - this.resultSizeValue); // subtract the
// resultSizeValue
// because the iteration is over
// real length and the
// resultSizeValue is added before
// the switch()
}
// terminating if length of nodeList is 0
if ((nodeList != null) && (nodeList.getLength() < discoverResultSize)) {
resumptionInt += (nodeList.getLength() + 1 - resultSizeValue);
} else {
resumptionInt += (nodeList.getLength() - resultSizeValue); // subtract the resultSizeValue
// because the iteration is over
// real length and the
// resultSizeValue is added before
// the switch()
}
this.discoverResultSize = nodeList.getLength();
discoverResultSize = nodeList.getLength();
log
.debug(
"downloadPage().deep-cursor: resumptionStr=" + this.resumptionStr + " ; queryParams="
+ this.queryParams + " resumptionLengthIncreased: " + this.resumptionInt);
log
.debug(
"downloadPage().deep-cursor: resumptionStr=" + resumptionStr + " ; queryParams="
+ queryParams + " resumptionLengthIncreased: " + resumptionInt);
break;
break;
default: // otherwise: abort
// resultTotal = resumptionInt;
break;
}
default: // otherwise: abort
// resultTotal = resumptionInt;
break;
} catch (final Exception e) {
log.error(e.getMessage(), e);
throw new IllegalStateException("collection failed: " + e.getMessage());
}
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new IllegalStateException("collection failed: " + e.getMessage());
}
try {
if (resultTotal == -1) {
resultTotal = Integer.parseInt(xprResultTotalPath.evaluate(resultNode));
if (resumptionType.equalsIgnoreCase("page") && !BASIC.equalsIgnoreCase(authMethod)) {
resultTotal += 1;
} // to correct the upper bound
log.info("resultTotal was -1 is now: " + resultTotal);
try {
if (this.resultTotal == -1) {
this.resultTotal = Integer.parseInt(this.xprResultTotalPath.evaluate(resultNode));
if ("page".equalsIgnoreCase(this.resumptionType)
&& !this.AUTHBASIC.equalsIgnoreCase(this.authMethod)) {
this.resultTotal += 1;
} // to correct the upper bound
log.info("resultTotal was -1 is now: " + this.resultTotal);
}
} catch (final Exception e) {
log.error(e.getMessage(), e);
throw new IllegalStateException("downloadPage resultTotal couldn't parse: " + e.getMessage());
}
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new IllegalStateException("downloadPage resultTotal couldn't parse: " + e.getMessage());
log.debug("resultTotal: " + this.resultTotal);
log.debug("resInt: " + this.resumptionInt);
if (this.resumptionInt <= this.resultTotal) {
nextQuery = this.baseUrl + "?" + this.queryParams + this.querySize + "&" + this.resumptionParam + "="
+ this.resumptionStr
+ this.queryFormat;
} else {
nextQuery = "";
// if (resumptionType.toLowerCase().equals("deep-cursor")) { resumptionInt -= 1; } // correct the
// resumptionInt and prevent a NullPointer Exception at mdStore
}
log.debug("nextQueryUrl: " + nextQuery);
return nextQuery;
} catch (final Throwable e) {
log.warn(e.getMessage(), e);
return downloadPage(query, attempt + 1);
}
log.debug("resultTotal: " + resultTotal);
log.debug("resInt: " + resumptionInt);
if (resumptionInt <= resultTotal) {
nextQuery = baseUrl + "?" + queryParams + querySize + "&" + resumptionParam + "=" + resumptionStr
+ queryFormat;
} else {
nextQuery = "";
// if (resumptionType.toLowerCase().equals("deep-cursor")) { resumptionInt -= 1; } // correct the
// resumptionInt and prevent a NullPointer Exception at mdStore
}
log.debug("nextQueryUrl: " + nextQuery);
return nextQuery;
}
private boolean isInteger(String s) {
private boolean isEmptyXml(String s) {
return EMPTY_XML.equalsIgnoreCase(s);
}
private boolean isInteger(final String s) {
boolean isValidInteger = false;
try {
Integer.parseInt(s);
@ -383,7 +445,7 @@ public class RestIterator implements Iterator<String> {
// s is a valid integer
isValidInteger = true;
} catch (NumberFormatException ex) {
} catch (final NumberFormatException ex) {
// s is not an integer
}
@ -391,20 +453,36 @@ public class RestIterator implements Iterator<String> {
}
// Method to encode a string value using `UTF-8` encoding scheme
private String encodeValue(String value) {
private String encodeValue(final String value) {
try {
return URLEncoder.encode(value, StandardCharsets.UTF_8.toString());
} catch (UnsupportedEncodingException ex) {
} catch (final UnsupportedEncodingException ex) {
throw new RuntimeException(ex.getCause());
}
}
/**
* setRequestHeader
*
* setRequestProperty: Sets the general request property. If a property with the key already exists, overwrite its value with the new value.
* @param conn
*/
private void setRequestHeader(HttpURLConnection conn) {
if (requestHeaders != null) {
for (String key : requestHeaders.keySet()) {
conn.setRequestProperty(key, requestHeaders.get(key));
}
log.debug("Set Request Header with: " + requestHeaders);
}
}
public String getResultFormatValue() {
return resultFormatValue;
return this.resultFormatValue;
}
public String getResultOutputFormat() {
return resultOutputFormat;
return this.resultOutputFormat;
}
}

View File

@ -8,7 +8,10 @@ import java.io.StringWriter;
import java.nio.charset.Charset;
import java.nio.charset.CharsetDecoder;
import java.nio.charset.CodingErrorAction;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.stream.Collectors;
import javax.xml.stream.XMLEventFactory;
import javax.xml.stream.XMLEventReader;
@ -19,6 +22,7 @@ import javax.xml.stream.XMLStreamException;
import javax.xml.stream.events.StartElement;
import javax.xml.stream.events.XMLEvent;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
@ -58,13 +62,23 @@ public class XMLIterator implements Iterator<String> {
private String element;
private List<String> elements;
private InputStream inputStream;
public XMLIterator(final String element, final InputStream inputStream) {
super();
this.element = element;
if (element.contains(",")) {
elements = Arrays
.stream(element.split(","))
.filter(StringUtils::isNoneBlank)
.map(String::toLowerCase)
.collect(Collectors.toList());
}
this.inputStream = inputStream;
this.parser = getParser();
try {
this.current = findElement(parser);
} catch (XMLStreamException e) {
@ -113,7 +127,7 @@ public class XMLIterator implements Iterator<String> {
final XMLEvent event = parser.nextEvent();
// TODO: replace with depth tracking instead of close tag tracking.
if (event.isEndElement() && event.asEndElement().getName().getLocalPart().equals(element)) {
if (event.isEndElement() && isCheckTag(event.asEndElement().getName().getLocalPart())) {
writer.add(event);
break;
}
@ -142,18 +156,16 @@ public class XMLIterator implements Iterator<String> {
XMLEvent peek = parser.peek();
if (peek != null && peek.isStartElement()) {
String name = peek.asStartElement().getName().getLocalPart();
if (element.equals(name)) {
if (isCheckTag(name))
return peek;
}
}
while (parser.hasNext()) {
final XMLEvent event = parser.nextEvent();
XMLEvent event = parser.nextEvent();
if (event != null && event.isStartElement()) {
String name = event.asStartElement().getName().getLocalPart();
if (element.equals(name)) {
if (isCheckTag(name))
return event;
}
}
}
return null;
@ -161,12 +173,31 @@ public class XMLIterator implements Iterator<String> {
private XMLEventReader getParser() {
try {
return inputFactory.get().createXMLEventReader(sanitize(inputStream));
XMLInputFactory xif = inputFactory.get();
xif.setProperty(XMLInputFactory.SUPPORT_DTD, false);
return xif.createXMLEventReader(sanitize(inputStream));
} catch (XMLStreamException e) {
throw new RuntimeException(e);
}
}
private boolean isCheckTag(final String tagName) {
if (elements != null) {
final String found = elements
.stream()
.filter(e -> e.equalsIgnoreCase(tagName))
.findFirst()
.orElse(null);
if (found != null)
return true;
} else {
if (element.equalsIgnoreCase(tagName)) {
return true;
}
}
return false;
}
private Reader sanitize(final InputStream in) {
final CharsetDecoder charsetDecoder = Charset.forName(UTF_8).newDecoder();
charsetDecoder.onMalformedInput(CodingErrorAction.REPLACE);

View File

@ -16,5 +16,10 @@
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
},{
"paramName": "bl",
"paramLongName": "blackListPath",
"paramDescription": "the working path",
"paramRequired": true
}
]

View File

@ -1,2 +1,3 @@
sourcePath=/user/miriam.baglioni/openalex-snapshot/data/works/
outputPath=/tmp/miriam/webcrawlComplete/
blackListPath=/user/miriam.baglioni/openalex-blackList

View File

@ -45,6 +45,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--blackListPath</arg><arg>${blackListPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -625,12 +625,6 @@
"name": "Alimentary Health",
"synonym": []
},
{
"id": "501100011103",
"uri": "http://dx.doi.org/10.13039/501100011103",
"name": "Rann\u00eds",
"synonym": []
},
{
"id": "501100012354",
"uri": "http://dx.doi.org/10.13039/501100012354",

View File

@ -1025,6 +1025,7 @@ case object Crossref2Oaf {
tp._1 match {
case "electronic" => journal.setIssnOnline(tp._2)
case "print" => journal.setIssnPrinted(tp._2)
case _ =>
}
})
}

View File

@ -79,23 +79,6 @@ object MagUtility extends Serializable {
private val MAGCollectedFrom = keyValue(ModelConstants.MAG_ID, ModelConstants.MAG_NAME)
private val MAGDataInfo: DataInfo = {
val di = new DataInfo
di.setDeletedbyinference(false)
di.setInferred(false)
di.setInvisible(false)
di.setTrust("0.9")
di.setProvenanceaction(
OafMapperUtils.qualifier(
ModelConstants.SYSIMPORT_ACTIONSET,
ModelConstants.SYSIMPORT_ACTIONSET,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS
)
)
di
}
private val MAGDataInfoInvisible: DataInfo = {
val di = new DataInfo
di.setDeletedbyinference(false)
di.setInferred(false)
@ -453,7 +436,6 @@ object MagUtility extends Serializable {
case "repository" =>
result = new Publication()
result.setDataInfo(MAGDataInfoInvisible)
qualifier(
"0038",
"Other literature type",
@ -488,8 +470,7 @@ object MagUtility extends Serializable {
}
if (result != null) {
if (result.getDataInfo == null)
result.setDataInfo(MAGDataInfo)
result.setDataInfo(MAGDataInfo)
val i = new Instance
i.setInstancetype(tp)
i.setInstanceTypeMapping(
@ -512,7 +493,7 @@ object MagUtility extends Serializable {
return null
result.setCollectedfrom(List(MAGCollectedFrom).asJava)
val pidList = List(
var pidList = List(
structuredProperty(
paper.paperId.get.toString,
qualifier(
@ -525,8 +506,6 @@ object MagUtility extends Serializable {
)
)
result.setPid(pidList.asJava)
result.setOriginalId(pidList.map(s => s.getValue).asJava)
result.setId(s"50|mag_________::${DHPUtils.md5(paper.paperId.get.toString)}")
@ -618,22 +597,23 @@ object MagUtility extends Serializable {
}
val instance = result.getInstance().get(0)
instance.setPid(pidList.asJava)
if (paper.doi.orNull != null)
instance.setAlternateIdentifier(
List(
structuredProperty(
paper.doi.get,
qualifier(
PidType.doi.toString,
PidType.doi.toString,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES
),
null
)
).asJava
if (paper.doi.orNull != null) {
pidList = pidList ::: List(
structuredProperty(
paper.doi.get,
qualifier(
PidType.doi.toString,
PidType.doi.toString,
ModelConstants.DNET_PID_TYPES,
ModelConstants.DNET_PID_TYPES
),
null
)
)
}
instance.setPid(pidList.asJava)
result.setPid(pidList.asJava)
instance.setUrl(paper.urls.get.asJava)
instance.setHostedby(ModelConstants.UNKNOWN_REPOSITORY)
instance.setCollectedfrom(MAGCollectedFrom)

View File

@ -38,6 +38,7 @@ class SparkMAGtoOAF(propertyPath: String, args: Array[String], log: Logger)
spark.read
.load(s"$magBasePath/mag_denormalized")
.as[MAGPaper]
.filter(col("doi").isNotNull)
.map(s => MagUtility.convertMAGtoOAF(s))
.filter(s => s != null)
.write

View File

@ -2,12 +2,9 @@ package eu.dnetlib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.collection.CollectionUtils
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetlib.dhp.sx.bio.pubmed._
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
import eu.dnetlib.dhp.utils.ISLookupClientFactory
import org.apache.commons.io.IOUtils
import org.apache.hadoop.conf.Configuration
@ -17,13 +14,13 @@ import org.apache.http.client.methods.HttpGet
import org.apache.http.impl.client.HttpClientBuilder
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql._
import org.apache.spark.sql.expressions.Aggregator
import org.slf4j.{Logger, LoggerFactory}
import java.io.InputStream
import scala.io.Source
import scala.xml.pull.XMLEventReader
import java.io.{ByteArrayInputStream, InputStream}
import java.nio.charset.Charset
import javax.xml.stream.XMLInputFactory
object SparkCreateBaselineDataFrame {
@ -86,7 +83,7 @@ object SparkCreateBaselineDataFrame {
if (response.getStatusLine.getStatusCode > 400) {
tries -= 1
} else
return IOUtils.toString(response.getEntity.getContent)
return IOUtils.toString(response.getEntity.getContent, Charset.defaultCharset())
} catch {
case e: Throwable =>
println(s"Error on requesting ${r.getURI}")
@ -158,7 +155,8 @@ object SparkCreateBaselineDataFrame {
IOUtils.toString(
SparkEBILinksToOaf.getClass.getResourceAsStream(
"/eu/dnetlib/dhp/sx/bio/ebi/baseline_to_oaf_params.json"
)
),
Charset.defaultCharset()
)
)
parser.parseArgument(args)
@ -167,15 +165,11 @@ object SparkCreateBaselineDataFrame {
val workingPath = parser.get("workingPath")
log.info("workingPath: {}", workingPath)
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
val hdfsServerUri = parser.get("hdfsServerUri")
log.info("hdfsServerUri: {}", hdfsServerUri)
log.info("hdfsServerUri: {}", targetPath)
val skipUpdate = parser.get("skipUpdate")
log.info("skipUpdate: {}", skipUpdate)
@ -201,10 +195,11 @@ object SparkCreateBaselineDataFrame {
if (!"true".equalsIgnoreCase(skipUpdate)) {
downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
val k: RDD[(String, String)] = sc.wholeTextFiles(s"$workingPath/baseline", 2000)
val inputFactory = XMLInputFactory.newInstance
val ds: Dataset[PMArticle] = spark.createDataset(
k.filter(i => i._1.endsWith(".gz"))
.flatMap(i => {
val xml = new XMLEventReader(Source.fromBytes(i._2.getBytes()))
val xml = inputFactory.createXMLEventReader(new ByteArrayInputStream(i._2.getBytes()))
new PMParser(xml)
})
)
@ -223,11 +218,8 @@ object SparkCreateBaselineDataFrame {
.map(a => PubMedToOaf.convert(a, vocabularies))
.as[Oaf]
.filter(p => p != null),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -1,7 +1,8 @@
package eu.dnetlib.dhp.sx.bio.pubmed
import scala.xml.MetaData
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText, XMLEventReader}
import javax.xml.stream.XMLEventReader
import scala.xml.pull.{EvElemEnd, EvElemStart, EvText}
/** @param xml
*/

View File

@ -15,10 +15,7 @@ import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

View File

@ -119,7 +119,9 @@ public class ReadCOCITest {
workingDir.toString() + "/COCI",
"-outputPath",
workingDir.toString() + "/COCI_json/",
"-inputFile", "input1;input2;input3;input4;input5"
"-inputFile", "input1;input2;input3;input4;input5",
"-format",
"COCI"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());

View File

@ -75,7 +75,11 @@ public class CreateASTest {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/")
"/eu/dnetlib/dhp/actionmanager/webcrawl/input/")
.getPath();
String blackListPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/blackList/")
.getPath();
CreateActionSetFromWebEntries
@ -86,7 +90,8 @@ public class CreateASTest {
"-sourcePath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1"
workingDir.toString() + "/actionSet1",
"-blackListPath", blackListPath
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
@ -96,7 +101,7 @@ public class CreateASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
Assertions.assertEquals(64, tmp.count());
Assertions.assertEquals(58, tmp.count());
}
@ -109,6 +114,10 @@ public class CreateASTest {
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/")
.getPath();
String blackListPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/webcrawl/blackList/")
.getPath();
CreateActionSetFromWebEntries
.main(
@ -118,7 +127,8 @@ public class CreateASTest {
"-sourcePath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1"
workingDir.toString() + "/actionSet1",
"-blackListPath", blackListPath
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
@ -184,7 +194,7 @@ public class CreateASTest {
Assertions
.assertEquals(
5, tmp
2, tmp
.filter(
r -> r
.getSource()
@ -197,7 +207,7 @@ public class CreateASTest {
Assertions
.assertEquals(
5, tmp
2, tmp
.filter(
r -> r
.getTarget()
@ -210,7 +220,7 @@ public class CreateASTest {
Assertions
.assertEquals(
2, tmp
1, tmp
.filter(
r -> r
.getTarget()
@ -224,7 +234,7 @@ public class CreateASTest {
Assertions
.assertEquals(
2, tmp
1, tmp
.filter(
r -> r
.getTarget()
@ -238,7 +248,7 @@ public class CreateASTest {
Assertions
.assertEquals(
1, tmp
0, tmp
.filter(
r -> r
.getTarget()

View File

@ -0,0 +1,64 @@
package eu.dnetlib.dhp.collection.plugin.file;
import java.io.IOException;
import java.util.HashMap;
import java.util.Objects;
import java.util.stream.Stream;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.junit.jupiter.MockitoExtension;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
@ExtendWith(MockitoExtension.class)
public class FileGZipMultipleNodeTest {
private static final Logger log = LoggerFactory.getLogger(FileGZipCollectorPluginTest.class);
private final ApiDescriptor api = new ApiDescriptor();
private FileGZipCollectorPlugin plugin;
private static final String SPLIT_ON_ELEMENT = "incollection,article";
@BeforeEach
public void setUp() throws IOException {
final String gzipFile = Objects
.requireNonNull(
this
.getClass()
.getResource("/eu/dnetlib/dhp/collection/plugin/file/dblp.gz"))
.getFile();
api.setBaseUrl(gzipFile);
HashMap<String, String> params = new HashMap<>();
params.put("splitOnElement", SPLIT_ON_ELEMENT);
api.setParams(params);
FileSystem fs = FileSystem.get(new Configuration());
plugin = new FileGZipCollectorPlugin(fs);
}
@Test
void test() throws CollectorException {
final Stream<String> stream = plugin.collect(api, new AggregatorReport());
stream.limit(10).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
log.info(s);
});
}
}

View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.collection.plugin.rest;
import java.util.HashMap;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.stream.Stream;
import org.junit.jupiter.api.Assertions;
@ -35,11 +36,11 @@ public class OsfPreprintCollectorTest {
private final String resultTotalXpath = "/*/*[local-name()='links']/*[local-name()='meta']/*[local-name()='total']";
private final String resumptionParam = "page";
private final String resumptionType = "page";
private final String resumptionXpath = "/*/*[local-name()='links']/*[local-name()='next']";
private final String resumptionType = "scan";
private final String resumptionXpath = "substring-before(substring-after(/*/*[local-name()='links']/*[local-name()='next'], 'page='), '&')";
private final String resultSizeParam = "";
private final String resultSizeValue = "";
private final String resultSizeParam = "page[size]";
private final String resultSizeValue = "100";
private final String resultFormatParam = "format";
private final String resultFormatValue = "json";
@ -69,11 +70,11 @@ public class OsfPreprintCollectorTest {
@Test
@Disabled
void test() throws CollectorException {
void test_limited() throws CollectorException {
final AtomicInteger i = new AtomicInteger(0);
final Stream<String> stream = this.rcp.collect(this.api, new AggregatorReport());
stream.limit(200).forEach(s -> {
stream.limit(2000).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
i.incrementAndGet();
log.info(s);
@ -82,4 +83,23 @@ public class OsfPreprintCollectorTest {
log.info("{}", i.intValue());
Assertions.assertTrue(i.intValue() > 0);
}
@Test
@Disabled
void test_all() throws CollectorException {
final AtomicLong i = new AtomicLong(0);
final Stream<String> stream = this.rcp.collect(this.api, new AggregatorReport());
stream.forEach(s -> {
Assertions.assertTrue(s.length() > 0);
if ((i.incrementAndGet() % 1000) == 0) {
log.info("COLLECTED: {}", i.get());
}
});
log.info("TOTAL: {}", i.get());
Assertions.assertTrue(i.get() > 0);
}
}

View File

@ -4,6 +4,11 @@
package eu.dnetlib.dhp.collection.plugin.rest;
import java.io.IOException;
import java.io.InputStream;
import java.net.HttpURLConnection;
import java.net.MalformedURLException;
import java.net.URL;
import java.util.HashMap;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Stream;
@ -12,6 +17,8 @@ import org.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.gson.Gson;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
@ -25,18 +32,18 @@ class RestCollectorPluginTest {
private static final Logger log = LoggerFactory.getLogger(RestCollectorPluginTest.class);
private final String baseUrl = "https://share.osf.io/api/v2/search/creativeworks/_search";
private final String resumptionType = "count";
private final String resumptionParam = "from";
private final String entityXpath = "//hits/hits";
private final String resumptionXpath = "//hits";
private final String resultTotalXpath = "//hits/total";
private final String resultFormatParam = "format";
private final String baseUrl = "https://ddh-openapi.worldbank.org/search";
private final String resumptionType = "discover";
private final String resumptionParam = "skip";
private final String entityXpath = "//*[local-name()='data']";
private final String resumptionXpath = "";
private final String resultTotalXpath = "//*[local-name()='count']";
private final String resultFormatParam = "";
private final String resultFormatValue = "json";
private final String resultSizeParam = "size";
private final String resultSizeParam = "top";
private final String resultSizeValue = "10";
// private String query = "q=%28sources%3ASocArXiv+AND+type%3Apreprint%29";
private final String query = "q=%28sources%3AengrXiv+AND+type%3Apreprint%29";
private final String query = "";
// private String query = "=(sources:engrXiv AND type:preprint)";
private final String protocolDescriptor = "rest_json2xml";
@ -56,6 +63,7 @@ class RestCollectorPluginTest {
params.put("resultSizeValue", resultSizeValue);
params.put("queryParams", query);
params.put("entityXpath", entityXpath);
params.put("requestHeaderMap", "{\"User-Agent\": \"OpenAIRE DEV\"}");
api.setBaseUrl(baseUrl);
api.setParams(params);
@ -78,4 +86,19 @@ class RestCollectorPluginTest {
log.info("{}", i.intValue());
Assertions.assertTrue(i.intValue() > 0);
}
@Disabled
@Test
void testUrl() throws IOException {
String url_s = "https://ddh-openapi.worldbank.org/search?&top=10";
URL url = new URL(url_s);
final HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("GET");
conn.setRequestProperty("User-Agent", "OpenAIRE");
Gson gson = new Gson();
System.out.println("Request header");
System.out.println(gson.toJson(conn.getHeaderFields()));
InputStream inputStream = conn.getInputStream();
}
}

View File

@ -44,7 +44,7 @@ public class RestIteratorTest {
final RestIterator iterator = new RestIterator(clientParams, baseUrl, resumptionType, resumptionParam,
resumptionXpath, resultTotalXpath, resultFormatParam, resultFormatValue, resultSizeParam, resultSizeValue,
query, entityXpath, authMethod, authToken, resultOffsetParam);
query, entityXpath, authMethod, authToken, resultOffsetParam, null);
int i = 20;
while (iterator.hasNext() && i > 0) {
String result = iterator.next();

View File

@ -789,10 +789,6 @@
"value": "2227-9717",
"type": "electronic"
},
{
"value": "VALUE",
"type": "PIPPO"
},
{
"value": "1063-4584",
"type": "pu"

View File

@ -2,7 +2,9 @@ package eu.dnetlib.dhp.collection.crossref
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
import org.junit.jupiter.api.BeforeEach
import eu.dnetlib.dhp.collection.crossref.Crossref2Oaf.TransformationType
import org.apache.commons.io.IOUtils
import org.junit.jupiter.api.{BeforeEach, Test}
import org.junit.jupiter.api.extension.ExtendWith
import org.mockito.junit.jupiter.MockitoExtension
import org.slf4j.{Logger, LoggerFactory}
@ -18,4 +20,13 @@ class CrossrefMappingTest extends AbstractVocabularyTest {
super.setUpVocabulary()
}
@Test
def mappingRecord(): Unit = {
val input =
IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/collection/crossref/issn_pub.json"), "utf-8")
println(Crossref2Oaf.convert(input, vocabularies, TransformationType.All))
}
}

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@ -3,6 +3,7 @@ package eu.dnetlib.dhp.collection.mag
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.schema.oaf.{Dataset, Publication, Result}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions.col
import org.junit.jupiter.api.Assertions._
import org.junit.jupiter.api.Test
@ -18,10 +19,8 @@ class MAGMappingTest {
.master("local[*]")
.getOrCreate()
val s = new SparkMagOrganizationAS(null, null, null)
s.generateAS(spark, "/home/sandro/Downloads/mag_test", "/home/sandro/Downloads/mag_AS")
val s = new SparkMAGtoOAF(null, null, null)
s.convertMAG(spark, "/Users/sandro/Downloads/", "/Users/sandro/Downloads/mag_OAF")
}
@Test

View File

@ -16,6 +16,7 @@ import org.mockito.junit.jupiter.MockitoExtension
import java.io.{BufferedReader, InputStream, InputStreamReader}
import java.util.zip.GZIPInputStream
import javax.xml.stream.XMLInputFactory
import scala.collection.JavaConverters._
import scala.collection.mutable.ListBuffer
import scala.io.Source
@ -49,10 +50,8 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testEBIData() = {
val inputXML = Source
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
.mkString
val xml = new XMLEventReader(Source.fromBytes(inputXML.getBytes()))
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
new PMParser(xml).foreach(s => println(mapper.writeValueAsString(s)))
}
@ -91,9 +90,10 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testParsingPubmedXML(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
val parser = new PMParser(xml)
parser.foreach(checkPMArticle)
}
@ -156,9 +156,9 @@ class BioScholixTest extends AbstractVocabularyTest {
@Test
def testPubmedMapping(): Unit = {
val xml = new XMLEventReader(
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
)
val inputFactory = XMLInputFactory.newInstance
val xml = inputFactory.createXMLEventReader(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/bio/pubmed.xml"))
val parser = new PMParser(xml)
val results = ListBuffer[Oaf]()
parser.foreach(x => results += PubMedToOaf.convert(x, vocabularies))

View File

@ -53,24 +53,10 @@
<artifactId>dhp-pace-core</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
</dependency>
<dependency>
<groupId>org.scala-lang.modules</groupId>
<artifactId>scala-java8-compat_${scala.binary.version}</artifactId>
<version>1.0.2</version>
</dependency>
<dependency>
<groupId>org.scala-lang.modules</groupId>
<artifactId>scala-collection-compat_${scala.binary.version}</artifactId>
<version>2.11.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.binary.version}</artifactId>
@ -79,16 +65,10 @@
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-graphx_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>com.arakelian</groupId>
<artifactId>java-jq</artifactId>
</dependency>
<dependency>
<groupId>dom4j</groupId>
<artifactId>dom4j</artifactId>
@ -101,10 +81,6 @@
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>

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@ -42,6 +42,7 @@ import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.util.SparkCompatUtils;
import scala.Tuple3;
import scala.collection.JavaConversions;
@ -148,8 +149,7 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
Dataset<Row> pivotHistory = spark
.createDataset(
Collections.emptyList(),
RowEncoder
.apply(StructType.fromDDL("id STRING, lastUsage STRING")));
SparkCompatUtils.encoderFor(StructType.fromDDL("id STRING, lastUsage STRING")));
if (StringUtils.isNotBlank(pivotHistoryDatabase)) {
pivotHistory = spark
@ -203,8 +203,8 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
WindowSpec w = Window
.partitionBy("groupId")
.orderBy(
col("lastUsage").desc_nulls_last(),
col("pidType").asc_nulls_last(),
col("lastUsage").desc_nulls_last(),
col("collectedfrom").desc_nulls_last(),
col("date").asc_nulls_last(),
col("id").asc_nulls_last());

View File

@ -22,7 +22,9 @@ import eu.dnetlib.dhp.oa.dedup.model.OrgSimRel;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Field;
import eu.dnetlib.dhp.schema.oaf.Organization;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
@ -164,12 +166,12 @@ public class SparkPrepareNewOrgs extends AbstractSparkAction {
.map(
(MapFunction<Tuple2<Tuple2<String, Organization>, Tuple2<String, String>>, OrgSimRel>) r -> new OrgSimRel(
"",
r._1()._2().getOriginalId().get(0),
r._1()._2().getLegalname() != null ? r._1()._2().getLegalname().getValue() : "",
r._1()._2().getLegalshortname() != null ? r._1()._2().getLegalshortname().getValue() : "",
r._1()._2().getCountry() != null ? r._1()._2().getCountry().getClassid() : "",
r._1()._2().getWebsiteurl() != null ? r._1()._2().getWebsiteurl().getValue() : "",
r._1()._2().getCollectedfrom().get(0).getValue(),
Optional.ofNullable(r._1()._2().getOriginalId()).map(oid -> oid.get(0)).orElse(null),
Optional.ofNullable(r._1()._2().getLegalname()).map(Field::getValue).orElse(""),
Optional.ofNullable(r._1()._2().getLegalshortname()).map(Field::getValue).orElse(""),
Optional.ofNullable(r._1()._2().getCountry()).map(Qualifier::getClassid).orElse(""),
Optional.ofNullable(r._1()._2().getWebsiteurl()).map(Field::getValue).orElse(""),
Optional.ofNullable(r._1()._2().getCollectedfrom()).map(cf -> cf.get(0).getValue()).orElse(null),
"",
structuredPropertyListToString(r._1()._2().getPid()),
parseECField(r._1()._2().getEclegalbody()),

View File

@ -217,7 +217,7 @@ public class SparkPrepareOrgRels extends AbstractSparkAction {
final Organization o = r._2()._2();
return new OrgSimRel(
r._1()._1(),
o.getOriginalId().get(0),
Optional.ofNullable(o.getOriginalId()).map(oid -> oid.get(0)).orElse(null),
Optional.ofNullable(o.getLegalname()).map(Field::getValue).orElse(""),
Optional.ofNullable(o.getLegalshortname()).map(Field::getValue).orElse(""),
Optional.ofNullable(o.getCountry()).map(Qualifier::getClassid).orElse(""),
@ -249,7 +249,9 @@ public class SparkPrepareOrgRels extends AbstractSparkAction {
.map(
(MapFunction<Tuple2<Tuple2<String, OrgSimRel>, Tuple2<String, Organization>>, OrgSimRel>) r -> {
OrgSimRel orgSimRel = r._1()._2();
orgSimRel.setLocal_id(r._2()._2().getOriginalId().get(0));
orgSimRel
.setLocal_id(
Optional.ofNullable(r._2()._2().getOriginalId()).map(oid -> oid.get(0)).orElse(null));
return orgSimRel;
},
Encoders.bean(OrgSimRel.class));

View File

@ -8,7 +8,6 @@ import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
import org.apache.spark.sql.types.StructType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -23,6 +22,7 @@ import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.util.SparkCompatUtils;
import scala.Tuple2;
import scala.Tuple3;
@ -145,7 +145,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
StructType idsSchema = StructType
.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>");
Dataset<Row> allIds = spark.emptyDataset(RowEncoder.apply(idsSchema));
Dataset<Row> allIds = spark.emptyDataset(SparkCompatUtils.encoderFor(idsSchema));
for (EntityType entityType : ModelSupport.entityTypes.keySet()) {
String entityPath = graphBasePath + '/' + entityType.name();

View File

@ -0,0 +1,103 @@
package eu.dnetlib.dhp.oa.dedup;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.io.Serializable;
import java.lang.reflect.InvocationTargetException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import org.codehaus.jackson.map.ObjectMapper;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
class DatasetMergerTest implements Serializable {
private List<Tuple2<String, Dataset>> datasets;
private String testEntityBasePath;
private DataInfo dataInfo;
private final String dedupId = "50|doi_________::3d18564ef27ebe9ef3bd8b4dec67e148";
private Dataset dataset_top;
@BeforeEach
public void setUp() throws Exception {
testEntityBasePath = Paths
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/json").toURI())
.toFile()
.getAbsolutePath();
datasets = readSample(testEntityBasePath + "/dataset_merge.json", Dataset.class);
dataset_top = getTopPub(datasets);
dataInfo = setDI();
}
@Test
void datasetMergerTest() throws InstantiationException, IllegalAccessException, InvocationTargetException {
Dataset pub_merged = MergeUtils.mergeGroup(dedupId, datasets.stream().map(Tuple2::_2).iterator());
// verify id
assertEquals(dedupId, pub_merged.getId());
assertEquals(2, pub_merged.getInstance().size());
}
public DataInfo setDI() {
DataInfo dataInfo = new DataInfo();
dataInfo.setTrust("0.9");
dataInfo.setDeletedbyinference(false);
dataInfo.setInferenceprovenance("testing");
dataInfo.setInferred(true);
return dataInfo;
}
public Dataset getTopPub(List<Tuple2<String, Dataset>> publications) {
Double maxTrust = 0.0;
Dataset maxPub = new Dataset();
for (Tuple2<String, Dataset> publication : publications) {
Double pubTrust = Double.parseDouble(publication._2().getDataInfo().getTrust());
if (pubTrust > maxTrust) {
maxTrust = pubTrust;
maxPub = publication._2();
}
}
return maxPub;
}
public <T> List<Tuple2<String, T>> readSample(String path, Class<T> clazz) {
List<Tuple2<String, T>> res = new ArrayList<>();
BufferedReader reader;
try {
reader = new BufferedReader(new FileReader(path));
String line = reader.readLine();
while (line != null) {
res
.add(
new Tuple2<>(
MapDocumentUtil.getJPathString("$.id", line),
new ObjectMapper().readValue(line, clazz)));
// read next line
line = reader.readLine();
}
reader.close();
} catch (IOException e) {
e.printStackTrace();
}
return res;
}
}

View File

@ -93,14 +93,14 @@ class EntityMergerTest implements Serializable {
assertEquals(pub_top.getJournal().getConferencedate(), pub_merged.getJournal().getConferencedate());
assertEquals(pub_top.getJournal().getConferenceplace(), pub_merged.getJournal().getConferenceplace());
assertEquals("OPEN", pub_merged.getBestaccessright().getClassid());
assertEquals(pub_top.getResulttype(), pub_merged.getResulttype());
assertEquals(pub_top.getLanguage(), pub_merged.getLanguage());
assertEquals(pub_top.getPublisher(), pub_merged.getPublisher());
assertEquals(pub_top.getEmbargoenddate(), pub_merged.getEmbargoenddate());
assertEquals(pub_top.getResulttype().getClassid(), pub_merged.getResulttype().getClassid());
assertEquals(pub_top.getLanguage().getClassid(), pub_merged.getLanguage().getClassid());
assertEquals("Elsevier BV", pub_merged.getPublisher().getValue());
assertEquals(pub_top.getEmbargoenddate().getValue(), pub_merged.getEmbargoenddate().getValue());
assertEquals(pub_top.getResourcetype().getClassid(), "");
assertEquals(pub_top.getDateoftransformation(), pub_merged.getDateoftransformation());
assertEquals(pub_top.getOaiprovenance(), pub_merged.getOaiprovenance());
assertEquals(pub_top.getDateofcollection(), pub_merged.getDateofcollection());
// assertEquals(pub_top.getDateofcollection(), pub_merged.getDateofcollection());
assertEquals(3, pub_merged.getInstance().size());
assertEquals(2, pub_merged.getCountry().size());
assertEquals(0, pub_merged.getSubject().size());

File diff suppressed because one or more lines are too long

View File

@ -172,7 +172,7 @@ public class SparkBulkTagJob {
.option("compression", "gzip")
.json(outputPath + "project");
readPath(spark, outputPath + "project", Datasource.class)
readPath(spark, outputPath + "project", Project.class)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")

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@ -50,7 +50,7 @@ public class CleaningRuleMap extends HashMap<Class<?>, SerializableConsumer<Obje
* @param subject
*/
private static void cleanSubjectForVocabulary(String vocabularyId, VocabularyGroup vocabularies,
Subject subject) {
Subject subject) {
vocabularies.find(vocabularyId).ifPresent(vocabulary -> {
if (ModelConstants.DNET_SUBJECT_KEYWORD.equalsIgnoreCase(subject.getQualifier().getClassid())) {
@ -61,13 +61,14 @@ public class CleaningRuleMap extends HashMap<Class<?>, SerializableConsumer<Obje
subject.getQualifier().setClassname(vocabulary.getName());
}
} else {
final String provenanceActionClassId = Optional.ofNullable(subject.getDataInfo())
.map(DataInfo::getProvenanceaction)
.map(Qualifier::getClassid)
.orElse(null);
final String provenanceActionClassId = Optional
.ofNullable(subject.getDataInfo())
.map(DataInfo::getProvenanceaction)
.map(Qualifier::getClassid)
.orElse(null);
if (vocabularyId.equals(subject.getQualifier().getClassid()) &&
!"subject:fos".equals(provenanceActionClassId)) {
!"subject:fos".equals(provenanceActionClassId)) {
Qualifier syn = vocabulary.getSynonymAsQualifier(subject.getValue());
VocabularyTerm term = vocabulary.getTerm(subject.getValue());

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@ -398,6 +398,7 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
o.setEcsmevalidated(field(Boolean.toString(rs.getBoolean("ecsmevalidated")), info));
o.setEcnutscode(field(Boolean.toString(rs.getBoolean("ecnutscode")), info));
o.setCountry(prepareQualifierSplitting(rs.getString("country")));
o.setOrganizationType(Organization.OrganizationType.valueOf(rs.getString("typology")));
o.setDataInfo(info);
o.setLastupdatetimestamp(lastUpdateTimestamp);

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@ -156,6 +156,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -190,6 +191,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -224,6 +226,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -258,6 +261,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -292,6 +296,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -326,6 +331,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -360,6 +366,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -394,6 +401,7 @@
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

View File

@ -116,17 +116,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=10000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/publication</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>8000</arg>
<arg>--numPartitions</arg><arg>10000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -143,17 +145,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=4000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/dataset</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>4000</arg>
<arg>--numPartitions</arg><arg>8000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -170,11 +174,13 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=8000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/otherresearchproduct</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
@ -197,17 +203,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=1000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/software</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>300</arg>
<arg>--numPartitions</arg><arg>1000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -224,17 +232,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=200
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/datasource</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Datasource</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>100</arg>
<arg>--numPartitions</arg><arg>200</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -251,17 +261,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=1000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/organization</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Organization</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>400</arg>
<arg>--numPartitions</arg><arg>1000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -278,17 +290,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=1000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/project</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>100</arg>
<arg>--numPartitions</arg><arg>1000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>
@ -305,17 +319,19 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/relation</arg>
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
<arg>--className</arg><arg>eu.dnetlib.dhp.schema.oaf.Relation</arg>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--numPartitions</arg><arg>10000</arg>
<arg>--numPartitions</arg><arg>15000</arg>
</spark>
<ok to="join_import"/>
<error to="Kill"/>

View File

@ -45,6 +45,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=15000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
@ -79,6 +80,7 @@
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.shuffle.partitions=10000
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}

View File

@ -28,7 +28,8 @@ SELECT
(array_remove(array_cat(ARRAY[o.ec_internationalorganization], array_agg(od.ec_internationalorganization)), NULL))[1] AS ecinternationalorganization,
(array_remove(array_cat(ARRAY[o.ec_enterprise], array_agg(od.ec_enterprise)), NULL))[1] AS ecenterprise,
(array_remove(array_cat(ARRAY[o.ec_smevalidated], array_agg(od.ec_smevalidated)), NULL))[1] AS ecsmevalidated,
(array_remove(array_cat(ARRAY[o.ec_nutscode], array_agg(od.ec_nutscode)), NULL))[1] AS ecnutscode
(array_remove(array_cat(ARRAY[o.ec_nutscode], array_agg(od.ec_nutscode)), NULL))[1] AS ecnutscode,
org_types.name AS typology
FROM organizations o
LEFT OUTER JOIN acronyms a ON (a.id = o.id)
LEFT OUTER JOIN urls u ON (u.id = o.id)
@ -37,6 +38,7 @@ FROM organizations o
LEFT OUTER JOIN oa_duplicates d ON (o.id = d.local_id AND d.reltype != 'is_different')
LEFT OUTER JOIN organizations od ON (d.oa_original_id = od.id)
LEFT OUTER JOIN other_ids idup ON (od.id = idup.id)
LEFT OUTER JOIN org_types ON (org_types.val = o.type)
WHERE
o.status = 'approved' OR o.status = 'suggested'
GROUP BY
@ -44,4 +46,5 @@ GROUP BY
o.name,
o.creation_date,
o.modification_date,
o.country;
o.country,
org_types.name;

View File

@ -0,0 +1,5 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": false},
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source Path", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the scholix dump", "paramRequired": true}
]

View File

@ -0,0 +1,166 @@
{
"cites":{
"original":"Cites",
"inverse":"IsCitedBy"
},
"compiles":{
"original":"Compiles",
"inverse":"IsCompiledBy"
},
"continues":{
"original":"Continues",
"inverse":"IsContinuedBy"
},
"derives":{
"original":"IsSourceOf",
"inverse":"IsDerivedFrom"
},
"describes":{
"original":"Describes",
"inverse":"IsDescribedBy"
},
"documents":{
"original":"Documents",
"inverse":"IsDocumentedBy"
},
"hasmetadata":{
"original":"HasMetadata",
"inverse":"IsMetadataOf"
},
"hasassociationwith":{
"original":"HasAssociationWith",
"inverse":"HasAssociationWith"
},
"haspart":{
"original":"HasPart",
"inverse":"IsPartOf"
},
"hasversion":{
"original":"HasVersion",
"inverse":"IsVersionOf"
},
"iscitedby":{
"original":"IsCitedBy",
"inverse":"Cites"
},
"iscompiledby":{
"original":"IsCompiledBy",
"inverse":"Compiles"
},
"iscontinuedby":{
"original":"IsContinuedBy",
"inverse":"Continues"
},
"isderivedfrom":{
"original":"IsDerivedFrom",
"inverse":"IsSourceOf"
},
"isdescribedby":{
"original":"IsDescribedBy",
"inverse":"Describes"
},
"isdocumentedby":{
"original":"IsDocumentedBy",
"inverse":"Documents"
},
"isidenticalto":{
"original":"IsIdenticalTo",
"inverse":"IsIdenticalTo"
},
"ismetadatafor":{
"original":"IsMetadataFor",
"inverse":"IsMetadataOf"
},
"ismetadataof":{
"original":"IsMetadataOf",
"inverse":"IsMetadataFor"
},
"isnewversionof":{
"original":"IsNewVersionOf",
"inverse":"IsPreviousVersionOf"
},
"isobsoletedby":{
"original":"IsObsoletedBy",
"inverse":"Obsoletes"
},
"isoriginalformof":{
"original":"IsOriginalFormOf",
"inverse":"IsVariantFormOf"
},
"ispartof":{
"original":"IsPartOf",
"inverse":"HasPart"
},
"ispreviousversionof":{
"original":"IsPreviousVersionOf",
"inverse":"IsNewVersionOf"
},
"isreferencedby":{
"original":"IsReferencedBy",
"inverse":"References"
},
"isrelatedto":{
"original":"IsRelatedTo",
"inverse":"IsRelatedTo"
},
"isrequiredby":{
"original":"IsRequiredBy",
"inverse":"Requires"
},
"isreviewedby":{
"original":"IsReviewedBy",
"inverse":"Reviews"
},
"issourceof":{
"original":"IsSourceOf",
"inverse":"IsDerivedFrom"
},
"issupplementedby":{
"original":"IsSupplementedBy",
"inverse":"IsSupplementTo"
},
"issupplementto":{
"original":"IsSupplementTo",
"inverse":"IsSupplementedBy"
},
"isvariantformof":{
"original":"IsVariantFormOf",
"inverse":"IsOriginalFormOf"
},
"isversionof":{
"original":"IsVersionOf",
"inverse":"HasVersion"
},
"obsoletes":{
"original":"Obsoletes",
"inverse":"IsObsoletedBy"
},
"references":{
"original":"References",
"inverse":"IsReferencedBy"
},
"requires":{
"original":"Requires",
"inverse":"IsRequiredBy"
},
"related":{
"original":"IsRelatedTo",
"inverse":"IsRelatedTo"
},
"reviews":{
"original":"Reviews",
"inverse":"IsReviewedBy"
},
"unknown":{
"original":"Unknown",
"inverse":"Unknown"
},
"isamongtopnsimilardocuments": {
"original": "IsAmongTopNSimilarDocuments",
"inverse": "HasAmongTopNSimilarDocuments"
},
"hasamongtopnsimilardocuments": {
"original": "HasAmongTopNSimilarDocuments",
"inverse": "IsAmongTopNSimilarDocuments"
}
}

View File

@ -25,27 +25,38 @@ object SparkApplyHostedByMapToResult {
val i = p.getInstance().asScala
if (i.size == 1) {
val inst: Instance = i.head
inst.getHostedby.setKey(ei.getHostedById)
inst.getHostedby.setValue(ei.getName)
if (ei.getOpenAccess) {
inst.setAccessright(
OafMapperUtils.accessRight(
ModelConstants.ACCESS_RIGHT_OPEN,
"Open Access",
ModelConstants.DNET_ACCESS_MODES,
ModelConstants.DNET_ACCESS_MODES
)
)
inst.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
p.setBestaccessright(OafMapperUtils.createBestAccessRights(p.getInstance()));
}
patchInstance(p, ei, inst)
} else {
val cf = i.map(ii => ii.getCollectedfrom.getValue)
if (cf.contains("Crossref")) {
i.foreach(ii => {
patchInstance(p, ei, ii)
})
}
}
}
p
})(Encoders.bean(classOf[Publication]))
}
private def patchInstance(p: Publication, ei: EntityInfo, inst: Instance): Unit = {
inst.getHostedby.setKey(ei.getHostedById)
inst.getHostedby.setValue(ei.getName)
if (ei.getOpenAccess) {
inst.setAccessright(
OafMapperUtils.accessRight(
ModelConstants.ACCESS_RIGHT_OPEN,
"Open Access",
ModelConstants.DNET_ACCESS_MODES,
ModelConstants.DNET_ACCESS_MODES
)
)
inst.getAccessright.setOpenAccessRoute(OpenAccessRoute.gold)
p.setBestaccessright(OafMapperUtils.createBestAccessRights(p.getInstance()));
}
}
def main(args: Array[String]): Unit = {
val logger: Logger = LoggerFactory.getLogger(getClass)

View File

@ -0,0 +1,258 @@
package eu.dnetlib.dhp.sx.graph
import com.fasterxml.jackson.databind.ObjectMapper
import eu.dnetlib.dhp.schema.oaf.{KeyValue, Result, StructuredProperty}
import eu.dnetlib.dhp.schema.sx.scholix.{
Scholix,
ScholixCollectedFrom,
ScholixEntityId,
ScholixIdentifier,
ScholixRelationship,
ScholixResource
}
import org.json4s
import org.json4s.DefaultFormats
import org.json4s.jackson.JsonMethods.parse
import scala.collection.JavaConverters._
import scala.io.Source
case class RelationInfo(
source: String,
target: String,
relclass: String,
id: String,
collectedfrom: Seq[RelKeyValue]
) {}
case class RelKeyValue(key: String, value: String) {}
object ScholexplorerUtils {
val OPENAIRE_IDENTIFIER_SCHEMA: String = "OpenAIRE Identifier"
val mapper = new ObjectMapper()
case class RelationVocabulary(original: String, inverse: String) {}
val relations: Map[String, RelationVocabulary] = {
val input = Source
.fromInputStream(
getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/relation/relations.json")
)
.mkString
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json: json4s.JValue = parse(input)
json.extract[Map[String, RelationVocabulary]]
}
def invRel(rel: String): String = {
val semanticRelation = relations.getOrElse(rel.toLowerCase, null)
if (semanticRelation != null)
semanticRelation.inverse
else
null
}
def generateDatasourceOpenAIREURLS(id: String): String = {
if (id != null && id.length > 12)
s"https://explore.openaire.eu/search/dataprovider?datasourceId=${id.substring(3)}"
else
null
}
def findURLForPID(
pidValue: List[StructuredProperty],
urls: List[String]
): List[(StructuredProperty, String)] = {
pidValue.map { p =>
val pv = p.getValue
val r = urls.find(u => u.toLowerCase.contains(pv.toLowerCase))
(p, r.orNull)
}
}
def extractTypedIdentifierFromInstance(r: Result): List[ScholixIdentifier] = {
if (r.getInstance() == null || r.getInstance().isEmpty)
return List()
r.getInstance()
.asScala
.filter(i => i.getUrl != null && !i.getUrl.isEmpty)
.filter(i => i.getPid != null && i.getUrl != null)
.flatMap(i => findURLForPID(i.getPid.asScala.toList, i.getUrl.asScala.toList))
.map(i => new ScholixIdentifier(i._1.getValue, i._1.getQualifier.getClassid, i._2))
.distinct
.toList
}
def generateScholixResourceFromResult(result: Result): ScholixResource = {
if (result.getInstance() == null || result.getInstance().size() == 0)
return null
if (result.getPid == null || result.getPid.isEmpty)
return null
val r = new ScholixResource
r.setDnetIdentifier(result.getId)
val persistentIdentifiers: List[ScholixIdentifier] = extractTypedIdentifierFromInstance(result)
if (persistentIdentifiers.isEmpty)
return null
r.setIdentifier(persistentIdentifiers.asJava)
r.setObjectType(result.getResulttype.getClassid)
r.setObjectSubType(
result
.getInstance()
.asScala
.filter(i => i != null && i.getInstancetype != null)
.map(i => i.getInstancetype.getClassname)
.distinct
.head
)
if (result.getTitle != null && result.getTitle.asScala.nonEmpty) {
val titles: List[String] = result.getTitle.asScala.map(t => t.getValue).toList
if (titles.nonEmpty)
r.setTitle(titles.head)
else
return null
}
if (result.getAuthor != null && !result.getAuthor.isEmpty) {
val authors: List[ScholixEntityId] =
result.getAuthor.asScala
.map(a => {
val entity = new ScholixEntityId()
entity.setName(a.getFullname)
if (a.getPid != null && a.getPid.size() > 0)
entity.setIdentifiers(
a.getPid.asScala
.map(sp => {
val id = new ScholixIdentifier()
id.setIdentifier(sp.getValue)
id.setSchema(sp.getQualifier.getClassid)
id
})
.take(3)
.toList
.asJava
)
entity
})
.toList
if (authors.nonEmpty)
r.setCreator(authors.asJava)
}
val dt: List[String] = result
.getInstance()
.asScala
.filter(i => i.getDateofacceptance != null)
.map(i => i.getDateofacceptance.getValue)
.toList
if (dt.nonEmpty)
r.setPublicationDate(dt.distinct.head)
r.setPublisher(
result
.getInstance()
.asScala
.map(i => i.getHostedby)
.filter(h => !"unknown".equalsIgnoreCase(h.getValue))
.map(h => {
val eid = new ScholixEntityId()
eid.setName(h.getValue)
val id = new ScholixIdentifier()
id.setIdentifier(h.getKey)
id.setSchema(OPENAIRE_IDENTIFIER_SCHEMA)
id.setUrl(generateDatasourceOpenAIREURLS(h.getKey))
eid.setIdentifiers(List(id).asJava)
eid
})
.distinct
.asJava
)
r.setCollectedFrom(
result.getCollectedfrom.asScala
.map(cf => {
val scf = new ScholixCollectedFrom()
scf.setProvisionMode("collected")
scf.setCompletionStatus("complete")
val eid = new ScholixEntityId()
eid.setName(cf.getValue)
val id = new ScholixIdentifier()
id.setIdentifier(cf.getKey)
id.setSchema(OPENAIRE_IDENTIFIER_SCHEMA)
id.setUrl(generateDatasourceOpenAIREURLS(cf.getKey))
eid.setIdentifiers(List(id).asJava)
scf.setProvider(eid)
scf
})
.asJava
)
r
}
def generateScholix(relation: RelationInfo, source: ScholixResource): Scholix = {
val s: Scholix = new Scholix
s.setSource(source)
if (relation.collectedfrom != null && relation.collectedfrom.nonEmpty)
s.setLinkprovider(
relation.collectedfrom
.map(cf => {
val eid = new ScholixEntityId()
eid.setName(cf.value)
val id = new ScholixIdentifier()
id.setIdentifier(cf.key)
id.setSchema(OPENAIRE_IDENTIFIER_SCHEMA)
id.setUrl(generateDatasourceOpenAIREURLS(cf.key))
eid.setIdentifiers(List(id).asJava)
eid
})
.toList
.asJava
)
else {
val eid = new ScholixEntityId()
eid.setName("OpenAIRE")
val id = new ScholixIdentifier()
id.setIdentifier("10|infrastruct_::f66f1bd369679b5b077dcdf006089556")
id.setSchema(OPENAIRE_IDENTIFIER_SCHEMA)
id.setUrl(generateDatasourceOpenAIREURLS(id.getIdentifier))
eid.setIdentifiers(List(id).asJava)
s.setLinkprovider(List(eid).asJava)
}
s.setIdentifier(relation.id)
val semanticRelation = relations.getOrElse(relation.relclass.toLowerCase, null)
if (semanticRelation == null)
return null
s.setRelationship(
new ScholixRelationship(semanticRelation.original, "datacite", semanticRelation.inverse)
)
s.setPublicationDate(source.getPublicationDate)
s.setPublisher(source.getPublisher)
val mockTarget = new ScholixResource
mockTarget.setDnetIdentifier(relation.target)
s.setTarget(mockTarget)
s
}
def updateTarget(s: Scholix, t: ScholixResource): String = {
s.setTarget(t)
val spublishers: Seq[ScholixEntityId] =
if (s.getPublisher != null && !s.getPublisher.isEmpty) s.getPublisher.asScala else List()
val tpublishers: Seq[ScholixEntityId] =
if (t.getPublisher != null && !t.getPublisher.isEmpty) t.getPublisher.asScala else List()
val mergedPublishers = spublishers.union(tpublishers).distinct.take(10).toList
s.setPublisher(mergedPublishers.asJava)
mapper.writeValueAsString(s)
}
}

View File

@ -0,0 +1,141 @@
package eu.dnetlib.dhp.sx.graph
import eu.dnetlib.dhp.application.AbstractScalaApplication
import eu.dnetlib.dhp.schema.oaf.{
KeyValue,
OtherResearchProduct,
Publication,
Relation,
Result,
Software,
Dataset => OafDataset
}
import eu.dnetlib.dhp.schema.sx.scholix.{Scholix, ScholixResource}
import org.apache.spark.sql.functions.{col, concat, expr, first, md5}
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
class SparkCreateScholexplorerDump(propertyPath: String, args: Array[String], log: Logger)
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
/** Here all the spark applications runs this method
* where the whole logic of the spark node is defined
*/
override def run(): Unit = {
val sourcePath = parser.get("sourcePath")
log.info("sourcePath: {}", sourcePath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
generateBidirectionalRelations(sourcePath, targetPath, spark)
generateScholixResource(sourcePath, targetPath, spark)
generateScholix(targetPath, spark)
}
def generateScholixResource(inputPath: String, outputPath: String, spark: SparkSession): Unit = {
val entityMap: Map[String, StructType] = Map(
"publication" -> Encoders.bean(classOf[Publication]).schema,
"dataset" -> Encoders.bean(classOf[OafDataset]).schema,
"software" -> Encoders.bean(classOf[Software]).schema,
"otherresearchproduct" -> Encoders.bean(classOf[OtherResearchProduct]).schema
)
implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.bean(classOf[ScholixResource])
implicit val resultEncoder: Encoder[Result] = Encoders.bean(classOf[Result])
val resDs = spark.emptyDataset[ScholixResource]
val scholixResourceDS = entityMap.foldLeft[Dataset[ScholixResource]](resDs)((res, item) => {
println(s"adding ${item._1}")
res.union(
spark.read
.schema(item._2)
.json(s"$inputPath/${item._1}")
.as[Result]
.map(r => ScholexplorerUtils.generateScholixResourceFromResult(r))
.filter(s => s != null)
)
})
scholixResourceDS.write.mode(SaveMode.Overwrite).save(s"$outputPath/resource")
}
def generateBidirectionalRelations(inputPath: String, otuputPath: String, spark: SparkSession): Unit = {
val relSchema = Encoders.bean(classOf[Relation]).schema
val relDF = spark.read
.schema(relSchema)
.json(s"$inputPath/relation")
.where(
"datainfo.deletedbyinference is false and source like '50%' and target like '50%' " +
"and relClass <> 'merges' and relClass <> 'isMergedIn'"
)
.select("source", "target", "collectedfrom", "relClass")
def invRel: String => String = { s =>
ScholexplorerUtils.invRel(s)
}
import org.apache.spark.sql.functions.udf
val inverseRelationUDF = udf(invRel)
val inverseRelation = relDF.select(
col("target").alias("source"),
col("source").alias("target"),
col("collectedfrom"),
inverseRelationUDF(col("relClass")).alias("relClass")
)
val bidRel = inverseRelation
.union(relDF)
.withColumn("id", md5(concat(col("source"), col("relClass"), col("target"))))
.withColumn("cf", expr("transform(collectedfrom, x -> struct(x.key, x.value))"))
.drop("collectedfrom")
.withColumnRenamed("cf", "collectedfrom")
.groupBy(col("id"))
.agg(
first("source").alias("source"),
first("target").alias("target"),
first("relClass").alias("relClass"),
first("collectedfrom").alias("collectedfrom")
)
bidRel.write.mode(SaveMode.Overwrite).save(s"$otuputPath/relation")
}
def generateScholix(outputPath: String, spark: SparkSession): Unit = {
implicit val scholixResourceEncoder: Encoder[ScholixResource] = Encoders.bean(classOf[ScholixResource])
implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo(classOf[Scholix])
import spark.implicits._
val relations = spark.read.load(s"$outputPath/relation").as[RelationInfo]
val resource = spark.read.load(s"$outputPath/resource").as[ScholixResource]
val scholix_one_verse = relations
.joinWith(resource, relations("source") === resource("dnetIdentifier"), "inner")
.map(res => ScholexplorerUtils.generateScholix(res._1, res._2))
.map(s => (s.getIdentifier, s))(Encoders.tuple(Encoders.STRING, Encoders.kryo(classOf[Scholix])))
val resourceTarget = relations
.joinWith(resource, relations("target") === resource("dnetIdentifier"), "inner")
.map(res => (res._1.id, res._2))(Encoders.tuple(Encoders.STRING, Encoders.kryo(classOf[ScholixResource])))
scholix_one_verse
.joinWith(resourceTarget, scholix_one_verse("_1") === resourceTarget("_1"), "inner")
.map(k => ScholexplorerUtils.updateTarget(k._1._2, k._2._2))
.write
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.text(s"$outputPath/scholix")
}
}
object SparkCreateScholexplorerDump {
val logger: Logger = LoggerFactory.getLogger(SparkCreateScholexplorerDump.getClass)
def main(args: Array[String]): Unit = {
new SparkCreateScholexplorerDump(
log = logger,
args = args,
propertyPath = "/eu/dnetlib/dhp/sx/create_scholix_dump_params.json"
).initialize().run()
}
}

View File

@ -0,0 +1,26 @@
package eu.dnetlib.dhp.sx.graph.scholix
import eu.dnetlib.dhp.schema.sx.scholix.ScholixResource
import eu.dnetlib.dhp.sx.graph.SparkCreateScholexplorerDump
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
import org.junit.jupiter.api.Test
import org.objenesis.strategy.StdInstantiatorStrategy
class ScholixGenerationTest {
@Test
def generateScholix(): Unit = {
val spark: SparkSession = SparkSession.builder().master("local[*]").getOrCreate()
val app = new SparkCreateScholexplorerDump(null, null, null)
// app.generateScholixResource("/home/sandro/Downloads/scholix_sample/", "/home/sandro/Downloads/scholix/", spark)
// app.generateBidirectionalRelations(
// "/home/sandro/Downloads/scholix_sample/",
// "/home/sandro/Downloads/scholix/",
// spark
// )
app.generateScholix("/home/sandro/Downloads/scholix/", spark)
}
}

View File

@ -18,7 +18,7 @@
<executions>
<execution>
<id>scala-compile-first</id>
<phase>initialize</phase>
<phase>process-resources</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
@ -59,12 +59,6 @@
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>dom4j</groupId>
@ -160,6 +154,26 @@
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
<exclusion>
<artifactId>ant</artifactId>
<groupId>org.apache.ant</groupId>
</exclusion>
<exclusion>
<artifactId>antlr4-runtime</artifactId>
<groupId>org.antlr</groupId>
</exclusion>
<exclusion>
<artifactId>woodstox-core</artifactId>
<groupId>com.fasterxml.woodstox</groupId>
</exclusion>
<exclusion>
<artifactId>log4j</artifactId>
<groupId>*</groupId>
</exclusion>
<exclusion>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
@ -206,5 +220,90 @@
</dependencies>
<profiles>
<profile>
<id>spark-24</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/sparksolr-3</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-34</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/sparksolr-4</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>spark-35</id>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>3.4.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/sparksolr-4</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
</project>

View File

@ -31,7 +31,6 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.provision.XmlConverterJob;
import eu.dnetlib.dhp.oa.provision.model.SerializableSolrInputDocument;
import eu.dnetlib.dhp.oa.provision.model.TupleWrapper;
@ -48,7 +47,7 @@ public class IrishOaiExporterJob {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
XmlConverterJob.class
IrishOaiExporterJob.class
.getResourceAsStream("/eu/dnetlib/dhp/oa/oaipmh/input_params_irish_oai_exporter.json")));
parser.parseArgument(args);

View File

@ -153,10 +153,15 @@ public class CreateRelatedEntitiesJob_phase1 {
result
.getTitle()
.stream()
.filter(t -> StringUtils.isNotBlank(t.getValue()))
.findFirst()
.map(StructuredProperty::getValue)
.ifPresent(
title -> re.getTitle().setValue(StringUtils.left(title, ModelHardLimits.MAX_TITLE_LENGTH)));
title -> {
re.setTitle(title);
re
.getTitle()
.setValue(StringUtils.left(title.getValue(), ModelHardLimits.MAX_TITLE_LENGTH));
});
}
if (Objects.nonNull(result.getDescription()) && !result.getDescription().isEmpty()) {
result

View File

@ -3,24 +3,16 @@ package eu.dnetlib.dhp.oa.provision;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
import static org.apache.spark.sql.functions.*;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.SparkContext;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.expressions.UserDefinedFunction;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -45,9 +37,9 @@ import scala.Tuple2;
/**
* XmlConverterJob converts the JoinedEntities as XML records
*/
public class XmlConverterJob {
public class PayloadConverterJob {
private static final Logger log = LoggerFactory.getLogger(XmlConverterJob.class);
private static final Logger log = LoggerFactory.getLogger(PayloadConverterJob.class);
public static final String schemaLocation = "https://www.openaire.eu/schema/1.0/oaf-1.0.xsd";
@ -56,8 +48,8 @@ public class XmlConverterJob {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
XmlConverterJob.class
.getResourceAsStream("/eu/dnetlib/dhp/oa/provision/input_params_xml_converter.json")));
PayloadConverterJob.class
.getResourceAsStream("/eu/dnetlib/dhp/oa/provision/input_params_payload_converter.json")));
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
@ -72,6 +64,12 @@ public class XmlConverterJob {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final Boolean validateXML = Optional
.ofNullable(parser.get("validateXML"))
.map(Boolean::valueOf)
.orElse(Boolean.FALSE);
log.info("validateXML: {}", validateXML);
final String contextApiBaseUrl = parser.get("contextApiBaseUrl");
log.info("contextApiBaseUrl: {}", contextApiBaseUrl);
@ -86,18 +84,19 @@ public class XmlConverterJob {
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
removeOutputDir(spark, outputPath);
convertToXml(
createPayloads(
spark, inputPath, outputPath, ContextMapper.fromAPI(contextApiBaseUrl),
VocabularyGroup.loadVocsFromIS(isLookup));
VocabularyGroup.loadVocsFromIS(isLookup), validateXML);
});
}
private static void convertToXml(
private static void createPayloads(
final SparkSession spark,
final String inputPath,
final String outputPath,
final ContextMapper contextMapper,
final VocabularyGroup vocabularies) {
final VocabularyGroup vocabularies,
final Boolean validateXML) {
final XmlRecordFactory recordFactory = new XmlRecordFactory(
prepareAccumulators(spark.sparkContext()),
@ -118,7 +117,7 @@ public class XmlConverterJob {
.as(Encoders.kryo(JoinedEntity.class))
.map(
(MapFunction<JoinedEntity, Tuple2<String, SolrRecord>>) je -> new Tuple2<>(
recordFactory.build(je),
recordFactory.build(je, validateXML),
ProvisionModelSupport.transform(je, contextMapper, vocabularies)),
Encoders.tuple(Encoders.STRING(), Encoders.bean(SolrRecord.class)))
.map(

View File

@ -2,42 +2,34 @@
package eu.dnetlib.dhp.oa.provision;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import java.util.HashSet;
import java.util.Optional;
import java.util.PriorityQueue;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.expressions.Aggregator;
import org.apache.spark.sql.expressions.Window;
import org.apache.spark.sql.expressions.WindowSpec;
import org.apache.spark.sql.functions;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.base.Joiner;
import com.google.common.base.Splitter;
import com.google.common.collect.Iterables;
import com.google.common.collect.Sets;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.provision.model.ProvisionModelSupport;
import eu.dnetlib.dhp.oa.provision.model.SortableRelationKey;
import eu.dnetlib.dhp.oa.provision.utils.RelationPartitioner;
import eu.dnetlib.dhp.schema.oaf.Relation;
import scala.Tuple2;
/**
* PrepareRelationsJob prunes the relationships: only consider relationships that are not virtually deleted
@ -130,132 +122,36 @@ public class PrepareRelationsJob {
private static void prepareRelationsRDD(SparkSession spark, String inputRelationsPath, String outputPath,
Set<String> relationFilter, int sourceMaxRelations, int targetMaxRelations, int relPartitions) {
JavaRDD<Relation> rels = readPathRelationRDD(spark, inputRelationsPath)
.filter(rel -> !(rel.getSource().startsWith("unresolved") || rel.getTarget().startsWith("unresolved")))
.filter(rel -> !rel.getDataInfo().getDeletedbyinference())
.filter(rel -> !relationFilter.contains(StringUtils.lowerCase(rel.getRelClass())));
WindowSpec source_w = Window
.partitionBy("source", "subRelType")
.orderBy(col("target").desc_nulls_last());
JavaRDD<Relation> pruned = pruneRels(
pruneRels(
rels,
sourceMaxRelations, relPartitions, (Function<Relation, String>) Relation::getSource),
targetMaxRelations, relPartitions, (Function<Relation, String>) Relation::getTarget);
spark
.createDataset(pruned.rdd(), Encoders.bean(Relation.class))
.repartition(relPartitions)
.write()
.mode(SaveMode.Overwrite)
.parquet(outputPath);
}
WindowSpec target_w = Window
.partitionBy("target", "subRelType")
.orderBy(col("source").desc_nulls_last());
private static JavaRDD<Relation> pruneRels(JavaRDD<Relation> rels, int maxRelations,
int relPartitions, Function<Relation, String> idFn) {
return rels
.mapToPair(r -> new Tuple2<>(SortableRelationKey.create(r, idFn.call(r)), r))
.repartitionAndSortWithinPartitions(new RelationPartitioner(relPartitions))
.groupBy(Tuple2::_1)
.map(Tuple2::_2)
.map(t -> Iterables.limit(t, maxRelations))
.flatMap(Iterable::iterator)
.map(Tuple2::_2);
}
// experimental
private static void prepareRelationsDataset(
SparkSession spark, String inputRelationsPath, String outputPath, Set<String> relationFilter, int maxRelations,
int relPartitions) {
spark
.read()
.textFile(inputRelationsPath)
.repartition(relPartitions)
.map(
(MapFunction<String, Relation>) s -> OBJECT_MAPPER.readValue(s, Relation.class),
Encoders.kryo(Relation.class))
.filter((FilterFunction<Relation>) rel -> !rel.getDataInfo().getDeletedbyinference())
.filter((FilterFunction<Relation>) rel -> !relationFilter.contains(rel.getRelClass()))
.groupByKey(
(MapFunction<Relation, String>) Relation::getSource,
Encoders.STRING())
.agg(new RelationAggregator(maxRelations).toColumn())
.flatMap(
(FlatMapFunction<Tuple2<String, RelationList>, Relation>) t -> Iterables
.limit(t._2().getRelations(), maxRelations)
.iterator(),
Encoders.bean(Relation.class))
.repartition(relPartitions)
.schema(Encoders.bean(Relation.class).schema())
.json(inputRelationsPath)
.where("source NOT LIKE 'unresolved%' AND target NOT LIKE 'unresolved%'")
.where("datainfo.deletedbyinference != true")
.where(
relationFilter.isEmpty() ? ""
: "lower(relClass) NOT IN ("
+ relationFilter.stream().map(s -> "'" + s + "'").collect(Collectors.joining(",")) + ")")
.withColumn("source_w_pos", functions.row_number().over(source_w))
.where("source_w_pos < " + sourceMaxRelations)
.drop("source_w_pos")
.withColumn("target_w_pos", functions.row_number().over(target_w))
.where("target_w_pos < " + targetMaxRelations)
.drop("target_w_pos")
.coalesce(relPartitions)
.write()
.mode(SaveMode.Overwrite)
.parquet(outputPath);
}
public static class RelationAggregator
extends Aggregator<Relation, RelationList, RelationList> {
private final int maxRelations;
public RelationAggregator(int maxRelations) {
this.maxRelations = maxRelations;
}
@Override
public RelationList zero() {
return new RelationList();
}
@Override
public RelationList reduce(RelationList b, Relation a) {
b.getRelations().add(a);
return getSortableRelationList(b);
}
@Override
public RelationList merge(RelationList b1, RelationList b2) {
b1.getRelations().addAll(b2.getRelations());
return getSortableRelationList(b1);
}
@Override
public RelationList finish(RelationList r) {
return getSortableRelationList(r);
}
private RelationList getSortableRelationList(RelationList b1) {
RelationList sr = new RelationList();
sr
.setRelations(
b1
.getRelations()
.stream()
.limit(maxRelations)
.collect(Collectors.toCollection(() -> new PriorityQueue<>(new RelationComparator()))));
return sr;
}
@Override
public Encoder<RelationList> bufferEncoder() {
return Encoders.kryo(RelationList.class);
}
@Override
public Encoder<RelationList> outputEncoder() {
return Encoders.kryo(RelationList.class);
}
}
/**
* Reads a JavaRDD of eu.dnetlib.dhp.oa.provision.model.SortableRelation objects from a newline delimited json text
* file,
*
* @param spark
* @param inputPath
* @return the JavaRDD<SortableRelation> containing all the relationships
*/
private static JavaRDD<Relation> readPathRelationRDD(
SparkSession spark, final String inputPath) {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
return sc.textFile(inputPath).map(s -> OBJECT_MAPPER.readValue(s, Relation.class));
}
private static void removeOutputDir(SparkSession spark, String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}

View File

@ -1,44 +0,0 @@
package eu.dnetlib.dhp.oa.provision;
import java.util.Comparator;
import java.util.Map;
import java.util.Optional;
import com.google.common.collect.ComparisonChain;
import com.google.common.collect.Maps;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
public class RelationComparator implements Comparator<Relation> {
private static final Map<String, Integer> weights = Maps.newHashMap();
static {
weights.put(ModelConstants.OUTCOME, 0);
weights.put(ModelConstants.SUPPLEMENT, 1);
weights.put(ModelConstants.REVIEW, 2);
weights.put(ModelConstants.CITATION, 3);
weights.put(ModelConstants.AFFILIATION, 4);
weights.put(ModelConstants.RELATIONSHIP, 5);
weights.put(ModelConstants.PUBLICATION_DATASET, 6);
weights.put(ModelConstants.SIMILARITY, 7);
weights.put(ModelConstants.PROVISION, 8);
weights.put(ModelConstants.PARTICIPATION, 9);
weights.put(ModelConstants.DEDUP, 10);
}
private Integer getWeight(Relation o) {
return Optional.ofNullable(weights.get(o.getSubRelType())).orElse(Integer.MAX_VALUE);
}
@Override
public int compare(Relation o1, Relation o2) {
return ComparisonChain
.start()
.compare(getWeight(o1), getWeight(o2))
.result();
}
}

View File

@ -1,25 +0,0 @@
package eu.dnetlib.dhp.oa.provision;
import java.io.Serializable;
import java.util.PriorityQueue;
import java.util.Queue;
import eu.dnetlib.dhp.schema.oaf.Relation;
public class RelationList implements Serializable {
private Queue<Relation> relations;
public RelationList() {
this.relations = new PriorityQueue<>(new RelationComparator());
}
public Queue<Relation> getRelations() {
return relations;
}
public void setRelations(Queue<Relation> relations) {
this.relations = relations;
}
}

View File

@ -1,81 +0,0 @@
package eu.dnetlib.dhp.oa.provision;
import java.io.Serializable;
import java.util.Map;
import java.util.Optional;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.google.common.collect.ComparisonChain;
import com.google.common.collect.Maps;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
public class SortableRelation extends Relation implements Comparable<SortableRelation>, Serializable {
private static final Map<String, Integer> weights = Maps.newHashMap();
static {
weights.put(ModelConstants.OUTCOME, 0);
weights.put(ModelConstants.SUPPLEMENT, 1);
weights.put(ModelConstants.REVIEW, 2);
weights.put(ModelConstants.CITATION, 3);
weights.put(ModelConstants.AFFILIATION, 4);
weights.put(ModelConstants.RELATIONSHIP, 5);
weights.put(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID, 6);
weights.put(ModelConstants.SIMILARITY, 7);
weights.put(ModelConstants.PROVISION, 8);
weights.put(ModelConstants.PARTICIPATION, 9);
weights.put(ModelConstants.DEDUP, 10);
}
private static final long serialVersionUID = 34753984579L;
private String groupingKey;
public static SortableRelation create(Relation r, String groupingKey) {
SortableRelation sr = new SortableRelation();
sr.setGroupingKey(groupingKey);
sr.setSource(r.getSource());
sr.setTarget(r.getTarget());
sr.setRelType(r.getRelType());
sr.setSubRelType(r.getSubRelType());
sr.setRelClass(r.getRelClass());
sr.setDataInfo(r.getDataInfo());
sr.setCollectedfrom(r.getCollectedfrom());
sr.setLastupdatetimestamp(r.getLastupdatetimestamp());
sr.setProperties(r.getProperties());
sr.setValidated(r.getValidated());
sr.setValidationDate(r.getValidationDate());
return sr;
}
@JsonIgnore
public Relation asRelation() {
return this;
}
@Override
public int compareTo(SortableRelation o) {
return ComparisonChain
.start()
.compare(getGroupingKey(), o.getGroupingKey())
.compare(getWeight(this), getWeight(o))
.result();
}
private Integer getWeight(SortableRelation o) {
return Optional.ofNullable(weights.get(o.getSubRelType())).orElse(Integer.MAX_VALUE);
}
public String getGroupingKey() {
return groupingKey;
}
public void setGroupingKey(String groupingKey) {
this.groupingKey = groupingKey;
}
}

View File

@ -25,6 +25,7 @@ import eu.dnetlib.dhp.oa.provision.model.SerializableSolrInputDocument;
import eu.dnetlib.dhp.oa.provision.model.TupleWrapper;
import eu.dnetlib.dhp.oa.provision.utils.ISLookupClient;
import eu.dnetlib.dhp.oa.provision.utils.StreamingInputDocumentFactory;
import eu.dnetlib.dhp.sparksolr.DHPSolrSupport;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.dhp.utils.saxon.SaxonTransformerFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
@ -129,7 +130,7 @@ public class XmlIndexingJob extends AbstractSolrRecordTransformJob {
.javaRDD()
.map(
t -> new StreamingInputDocumentFactory().parseDocument(t.getXml(), t.getJson()));
SolrSupport.indexDocs(zkHost, collection, batchSize, docs.rdd());
DHPSolrSupport.indexDocs(zkHost, collection, batchSize, docs.rdd());
}
}

View File

@ -1,8 +1,6 @@
package eu.dnetlib.dhp.oa.provision.model;
import static org.apache.commons.lang3.StringUtils.substringBefore;
import java.io.StringReader;
import java.util.*;
import java.util.stream.Collectors;
@ -16,16 +14,15 @@ import org.jetbrains.annotations.Nullable;
import com.google.common.base.Splitter;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Sets;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.common.vocabulary.VocabularyTerm;
import eu.dnetlib.dhp.oa.provision.RelationList;
import eu.dnetlib.dhp.oa.provision.SortableRelation;
import eu.dnetlib.dhp.oa.provision.utils.ContextDef;
import eu.dnetlib.dhp.oa.provision.utils.ContextMapper;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import eu.dnetlib.dhp.schema.solr.*;
import eu.dnetlib.dhp.schema.solr.AccessRight;
import eu.dnetlib.dhp.schema.solr.Author;
@ -55,10 +52,7 @@ public class ProvisionModelSupport {
.newArrayList(
RelatedEntityWrapper.class,
JoinedEntity.class,
RelatedEntity.class,
SortableRelationKey.class,
SortableRelation.class,
RelationList.class));
RelatedEntity.class));
return modelClasses.toArray(new Class[] {});
}
@ -74,7 +68,11 @@ public class ProvisionModelSupport {
.setHeader(
SolrRecordHeader
.newInstance(
e.getId(), e.getOriginalId(), type, deletedbyinference));
StringUtils
.substringAfter(
e.getId(),
IdentifierFactory.ID_PREFIX_SEPARATOR),
e.getOriginalId(), type, deletedbyinference));
r.setCollectedfrom(asProvenance(e.getCollectedfrom()));
r.setContext(asContext(e.getContext(), contextMapper));
r.setPid(asPid(e.getPid()));
@ -114,7 +112,8 @@ public class ProvisionModelSupport {
.newInstance(
relation.getRelType(),
relation.getRelClass(),
relation.getTarget(), relatedRecordType));
StringUtils.substringAfter(relation.getTarget(), IdentifierFactory.ID_PREFIX_SEPARATOR),
relatedRecordType));
rr.setAcronym(re.getAcronym());
rr.setCode(re.getCode());
@ -147,6 +146,7 @@ public class ProvisionModelSupport {
ps.setContracttype(mapCodeLabel(p.getContracttype()));
ps.setCurrency(mapField(p.getCurrency()));
ps.setDuration(mapField(p.getDuration()));
ps.setOamandatepublications(mapField(p.getOamandatepublications()));
ps.setCallidentifier(mapField(p.getCallidentifier()));
ps.setEcarticle29_3(mapField(p.getEcarticle29_3()));
ps.setEnddate(mapField(p.getEnddate()));
@ -387,7 +387,7 @@ public class ProvisionModelSupport {
.equals(
Optional
.ofNullable(t.getQualifier())
.map(Qualifier::getClassid)
.map(Qualifier::getClassname)
.orElse(null)))
.map(StructuredProperty::getValue)
.collect(Collectors.toList()))
@ -405,7 +405,7 @@ public class ProvisionModelSupport {
.equals(
Optional
.ofNullable(t.getQualifier())
.map(Qualifier::getClassid)
.map(Qualifier::getClassname)
.orElse(null)))
.map(StructuredProperty::getValue)
.findFirst())
@ -472,7 +472,7 @@ public class ProvisionModelSupport {
}
private static String mapQualifier(eu.dnetlib.dhp.schema.oaf.Qualifier q) {
return Optional.ofNullable(q).map(Qualifier::getClassid).orElse(null);
return Optional.ofNullable(q).map(Qualifier::getClassname).orElse(null);
}
private static Journal mapJournal(eu.dnetlib.dhp.schema.oaf.Journal joaf) {
@ -581,7 +581,7 @@ public class ProvisionModelSupport {
.map(
pids -> pids
.stream()
.map(p -> Pid.newInstance(p.getQualifier().getClassid(), p.getValue()))
.map(p -> Pid.newInstance(p.getQualifier().getClassname(), p.getValue()))
.collect(Collectors.toList()))
.orElse(null);
}
@ -606,8 +606,8 @@ public class ProvisionModelSupport {
subjects -> subjects
.stream()
.filter(s -> Objects.nonNull(s.getQualifier()))
.filter(s -> Objects.nonNull(s.getQualifier().getClassid()))
.map(s -> Subject.newInstance(s.getValue(), s.getQualifier().getClassid()))
.filter(s -> Objects.nonNull(s.getQualifier().getClassname()))
.map(s -> Subject.newInstance(s.getValue(), s.getQualifier().getClassname()))
.collect(Collectors.toList()))
.orElse(null);
}
@ -619,8 +619,8 @@ public class ProvisionModelSupport {
subjects -> subjects
.stream()
.filter(s -> Objects.nonNull(s.getQualifier()))
.filter(s -> Objects.nonNull(s.getQualifier().getClassid()))
.map(s -> Subject.newInstance(s.getValue(), s.getQualifier().getClassid()))
.filter(s -> Objects.nonNull(s.getQualifier().getClassname()))
.map(s -> Subject.newInstance(s.getValue(), s.getQualifier().getClassname()))
.collect(Collectors.toList()))
.orElse(null);
}

View File

@ -5,14 +5,11 @@ import static eu.dnetlib.dhp.oa.provision.utils.GraphMappingUtils.removePrefix;
import static eu.dnetlib.dhp.oa.provision.utils.XmlSerializationUtils.escapeXml;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import javax.swing.text.html.Option;
import org.apache.commons.lang3.StringUtils;
import org.stringtemplate.v4.ST;

View File

@ -93,10 +93,13 @@ public class XmlRecordFactory implements Serializable {
}
public String build(final JoinedEntity je) {
return build(je, false);
}
public String build(final JoinedEntity je, final Boolean validate) {
final Set<String> contexts = Sets.newHashSet();
// final OafEntity entity = toOafEntity(je.getEntity());
final OafEntity entity = je.getEntity();
final TemplateFactory templateFactory = new TemplateFactory();
try {
@ -122,7 +125,13 @@ public class XmlRecordFactory implements Serializable {
.buildBody(
mainType, metadata, relations, listChildren(entity, je, templateFactory), listExtraInfo(entity));
return templateFactory.buildRecord(entity, schemaLocation, body);
String xmlRecord = templateFactory.buildRecord(entity, schemaLocation, body);
if (Boolean.TRUE.equals(validate)) {
// rise an exception when an invalid record was built
new SAXReader().read(new StringReader(xmlRecord));
}
return xmlRecord;
// return printXML(templateFactory.buildRecord(entity, schemaLocation, body), indent);
} catch (final Throwable e) {
throw new RuntimeException(String.format("error building record '%s'", entity.getId()), e);
@ -1038,13 +1047,21 @@ public class XmlRecordFactory implements Serializable {
}
private List<String> measuresAsXml(List<Measure> measures) {
return measures
.stream()
.map(m -> {
List<Tuple2<String, String>> l = Lists.newArrayList(new Tuple2<>("id", m.getId()));
m.getUnit().forEach(kv -> l.add(new Tuple2<>(kv.getKey(), kv.getValue())));
return XmlSerializationUtils.asXmlElement("measure", l);
})
return Stream
.concat(
measures
.stream()
.filter(m -> !"downloads".equals(m.getId()) && !"views".equals(m.getId()))
.map(m -> {
List<Tuple2<String, String>> l = Lists.newArrayList(new Tuple2<>("id", m.getId()));
m.getUnit().forEach(kv -> l.add(new Tuple2<>(kv.getKey(), kv.getValue())));
return XmlSerializationUtils.asXmlElement("measure", l);
}),
measures
.stream()
.filter(m -> "downloads".equals(m.getId()) || "views".equals(m.getId()))
.filter(m -> m.getUnit().stream().anyMatch(u -> Integer.parseInt(u.getValue()) > 0))
.map(m -> XmlSerializationUtils.usageMeasureAsXmlElement("measure", m)))
.collect(Collectors.toList());
}

View File

@ -5,7 +5,11 @@ import static eu.dnetlib.dhp.oa.provision.utils.GraphMappingUtils.removePrefix;
import static org.apache.commons.lang3.StringUtils.isBlank;
import static org.apache.commons.lang3.StringUtils.isNotBlank;
import java.util.HashSet;
import java.util.List;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
@ -166,6 +170,22 @@ public class XmlSerializationUtils {
return sb.toString();
}
// <measure views="0" datasource="infrastruct_::f66f1bd369679b5b077dcdf006089556||OpenAIRE" />
// <measure downloads="0" datasource="infrastruct_::f66f1bd369679b5b077dcdf006089556||OpenAIRE" />
public static String usageMeasureAsXmlElement(String name, Measure measure) {
StringBuilder sb = new StringBuilder();
for (KeyValue kv : measure.getUnit()) {
sb
.append("<")
.append(name)
.append(" ")
.append(attr(measure.getId(), kv.getValue()))
.append(attr("datasource", kv.getKey()))
.append(" />");
}
return sb.toString();
}
public static String mapEoscIf(EoscIfGuidelines e) {
return asXmlElement(
"eoscifguidelines", Lists

View File

@ -22,5 +22,11 @@
"paramLongName": "isLookupUrl",
"paramDescription": "URL of the context ISLookup Service",
"paramRequired": true
},
{
"paramName": "val",
"paramLongName": "validateXML",
"paramDescription": "should the process check the XML validity",
"paramRequired": false
}
]

View File

@ -13,6 +13,11 @@
<name>contextApiBaseUrl</name>
<description>context API URL</description>
</property>
<property>
<name>validateXML</name>
<value>false</value>
<description>should the payload converter validate the XMLs</description>
</property>
<property>
<name>relPartitions</name>
<description>number or partitions for the relations Dataset</description>
@ -125,7 +130,7 @@
<case to="prepare_relations">${wf:conf('resumeFrom') eq 'prepare_relations'}</case>
<case to="fork_join_related_entities">${wf:conf('resumeFrom') eq 'fork_join_related_entities'}</case>
<case to="fork_join_all_entities">${wf:conf('resumeFrom') eq 'fork_join_all_entities'}</case>
<case to="convert_to_xml">${wf:conf('resumeFrom') eq 'convert_to_xml'}</case>
<case to="create_payloads">${wf:conf('resumeFrom') eq 'create_payloads'}</case>
<case to="drop_solr_collection">${wf:conf('resumeFrom') eq 'drop_solr_collection'}</case>
<case to="to_solr_index">${wf:conf('resumeFrom') eq 'to_solr_index'}</case>
<default to="prepare_relations"/>
@ -144,21 +149,23 @@
<class>eu.dnetlib.dhp.oa.provision.PrepareRelationsJob</class>
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCoresForJoining}
--executor-memory=${sparkExecutorMemoryForJoining}
--executor-cores=4
--executor-memory=6G
--driver-memory=${sparkDriverMemoryForJoining}
--conf spark.executor.memoryOverhead=6G
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
--conf spark.sql.shuffle.partitions=15000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${inputGraphRootPath}/relation</arg>
<arg>--outputPath</arg><arg>${workingDir}/relation</arg>
<arg>--sourceMaxRelations</arg><arg>${sourceMaxRelations}</arg>
<arg>--targetMaxRelations</arg><arg>${targetMaxRelations}</arg>
<arg>--relationFilter</arg><arg>${relationFilter}</arg>
<arg>--relPartitions</arg><arg>5000</arg>
<arg>--relPartitions</arg><arg>15000</arg>
</spark>
<ok to="fork_join_related_entities"/>
<error to="Kill"/>
@ -585,19 +592,20 @@
<error to="Kill"/>
</action>
<join name="wait_join_phase2" to="convert_to_xml"/>
<join name="wait_join_phase2" to="create_payloads"/>
<action name="convert_to_xml">
<action name="create_payloads">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>convert_to_xml</name>
<class>eu.dnetlib.dhp.oa.provision.XmlConverterJob</class>
<name>create_payloads</name>
<class>eu.dnetlib.dhp.oa.provision.PayloadConverterJob</class>
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -607,6 +615,7 @@
</spark-opts>
<arg>--inputPath</arg><arg>${workingDir}/join_entities</arg>
<arg>--outputPath</arg><arg>${workingDir}/xml_json</arg>
<arg>--validateXML</arg><arg>${validateXML}</arg>
<arg>--contextApiBaseUrl</arg><arg>${contextApiBaseUrl}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
</spark>

View File

@ -0,0 +1,12 @@
package eu.dnetlib.dhp.sparksolr;
import com.lucidworks.spark.util.SolrSupport;
import org.apache.solr.common.SolrInputDocument;
import org.apache.spark.rdd.RDD;
public class DHPSolrSupport {
static public void indexDocs(String zkhost, String collection, int batchSize, RDD<SolrInputDocument> docs) {
SolrSupport.indexDocs(zkhost, collection, batchSize, docs);
}
}

View File

@ -0,0 +1,12 @@
package eu.dnetlib.dhp.sparksolr;
import com.lucidworks.spark.util.SolrSupport;
import org.apache.solr.common.SolrInputDocument;
import org.apache.spark.rdd.RDD;
public class DHPSolrSupport {
static public void indexDocs(String zkhost, String collection, int batchSize, RDD<SolrInputDocument> docs) {
SolrSupport.indexDocs(zkhost, collection, batchSize, com.lucidworks.spark.BatchSizeType.NUM_DOCS, docs);
}
}

View File

@ -50,7 +50,7 @@ public class EOSCFuture_Test {
final ContextMapper contextMapper = new ContextMapper();
final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false,
XmlConverterJob.schemaLocation);
PayloadConverterJob.schemaLocation);
final OtherResearchProduct p = OBJECT_MAPPER
.readValue(

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