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Merge branch 'master' into deduptesting

This commit is contained in:
Claudio Atzori 2020-07-10 19:04:16 +02:00
parent 752d28f8eb 31071e363f
commit ecf119f37a
26 changed files with 531 additions and 196 deletions
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4
dhp-workflows/dhp-broker-events/pom.xml
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@ -57,9 +57,9 @@
</dependency>
<dependency>
<groupId>eu.dnetlib</groupId>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dnet-openaire-broker-common</artifactId>
<version>[3.0.4,4.0.0)</version>
<version>[3.0.0-SNAPSHOT,)</version>
</dependency>
</dependencies>

36
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/GenerateEventsJob.java
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@ -18,8 +18,6 @@ import org.apache.spark.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.model.Event;
import eu.dnetlib.dhp.broker.oa.matchers.UpdateMatcher;
@ -27,9 +25,6 @@ import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.EventFinder;
import eu.dnetlib.dhp.broker.oa.util.EventGroup;
import eu.dnetlib.dhp.broker.oa.util.aggregators.simple.ResultGroup;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
public class GenerateEventsJob {
@ -52,12 +47,6 @@ public class GenerateEventsJob {
final String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath);
final String isLookupUrl = parser.get("isLookupUrl");
log.info("isLookupUrl: {}", isLookupUrl);
final String dedupConfigProfileId = parser.get("dedupConfProfile");
log.info("dedupConfigProfileId: {}", dedupConfigProfileId);
final String eventsPath = workingPath + "/events";
log.info("eventsPath: {}", eventsPath);
@ -72,10 +61,6 @@ public class GenerateEventsJob {
final SparkConf conf = new SparkConf();
// TODO UNCOMMENT
// final DedupConfig dedupConfig = loadDedupConfig(isLookupUrl, dedupConfigProfileId);
final DedupConfig dedupConfig = null;
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
ClusterUtils.removeDir(spark, eventsPath);
@ -90,7 +75,7 @@ public class GenerateEventsJob {
final Dataset<Event> dataset = groups
.map(
g -> EventFinder
.generateEvents(g, dsIdWhitelist, dsIdBlacklist, dsTypeWhitelist, dedupConfig, accumulators),
.generateEvents(g, dsIdWhitelist, dsIdBlacklist, dsTypeWhitelist, accumulators),
Encoders
.bean(EventGroup.class))
.flatMap(g -> g.getData().iterator(), Encoders.bean(Event.class));
@ -112,23 +97,4 @@ public class GenerateEventsJob {
}
private static DedupConfig loadDedupConfig(final String isLookupUrl, final String profId) throws Exception {
final ISLookUpService isLookUpService = ISLookupClientFactory.getLookUpService(isLookupUrl);
final String conf = isLookUpService
.getResourceProfileByQuery(
String
.format(
"for $x in /RESOURCE_PROFILE[.//RESOURCE_IDENTIFIER/@value = '%s'] return $x//DEDUPLICATION/text()",
profId));
final DedupConfig dedupConfig = new ObjectMapper().readValue(conf, DedupConfig.class);
dedupConfig.getPace().initModel();
dedupConfig.getPace().initTranslationMap();
// dedupConfig.getWf().setConfigurationId("???");
return dedupConfig;
}
}

63
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/GenerateStatsJob.java Normal file
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@ -0,0 +1,63 @@
package eu.dnetlib.dhp.broker.oa;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.TypedColumn;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.model.Event;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.aggregators.stats.DatasourceStats;
import eu.dnetlib.dhp.broker.oa.util.aggregators.stats.StatsAggregator;
public class GenerateStatsJob {
private static final Logger log = LoggerFactory.getLogger(GenerateStatsJob.class);
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
IndexOnESJob.class
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
parser.parseArgument(args);
final Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final SparkConf conf = new SparkConf();
final String eventsPath = parser.get("workingPath") + "/events";
log.info("eventsPath: {}", eventsPath);
final String statsPath = parser.get("workingPath") + "/stats";
log.info("stats: {}", statsPath);
final TypedColumn<Event, DatasourceStats> aggr = new StatsAggregator().toColumn();
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
final Dataset<DatasourceStats> stats = ClusterUtils
.readPath(spark, eventsPath, Event.class)
.groupByKey(e -> e.getMap().getTargetDatasourceId(), Encoders.STRING())
.agg(aggr)
.map(t -> t._2, Encoders.bean(DatasourceStats.class));
ClusterUtils.save(stats, statsPath, DatasourceStats.class, null);
});
}
}

5
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/JoinStep2Job.java
View File

@ -7,7 +7,6 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.TypedColumn;
@ -65,9 +64,7 @@ public class JoinStep2Job {
final Dataset<OaBrokerMainEntity> dataset = sources
.joinWith(typedRels, sources.col("openaireId").equalTo(typedRels.col("source")), "left_outer")
.groupByKey(
(MapFunction<Tuple2<OaBrokerMainEntity, RelatedSoftware>, String>) t -> t._1.getOpenaireId(),
Encoders.STRING())
.groupByKey(t -> t._1.getOpenaireId(), Encoders.STRING())
.agg(aggr)
.map(t -> t._2, Encoders.bean(OaBrokerMainEntity.class));

4
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcher.java
View File

@ -17,7 +17,6 @@ import org.apache.spark.util.LongAccumulator;
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
import eu.dnetlib.dhp.broker.model.Topic;
import eu.dnetlib.dhp.broker.oa.util.UpdateInfo;
import eu.dnetlib.pace.config.DedupConfig;
public abstract class UpdateMatcher<T> {
@ -37,7 +36,6 @@ public abstract class UpdateMatcher<T> {
public Collection<UpdateInfo<T>> searchUpdatesForRecord(final OaBrokerMainEntity res,
final Collection<OaBrokerMainEntity> others,
final DedupConfig dedupConfig,
final Map<String, LongAccumulator> accumulators) {
final Map<String, UpdateInfo<T>> infoMap = new HashMap<>();
@ -49,7 +47,7 @@ public abstract class UpdateMatcher<T> {
if (topic != null) {
final UpdateInfo<T> info = new UpdateInfo<>(topic, hl, source, res,
getCompileHighlightFunction(),
getHighlightToStringFunction(), dedupConfig);
getHighlightToStringFunction());
final String s = DigestUtils.md5Hex(info.getHighlightValueAsString());
if (!infoMap.containsKey(s) || infoMap.get(s).getTrust() < info.getTrust()) {

4
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/EventFinder.java
View File

@ -37,7 +37,6 @@ import eu.dnetlib.dhp.broker.oa.matchers.simple.EnrichMoreOpenAccess;
import eu.dnetlib.dhp.broker.oa.matchers.simple.EnrichMorePid;
import eu.dnetlib.dhp.broker.oa.matchers.simple.EnrichMoreSubject;
import eu.dnetlib.dhp.broker.oa.util.aggregators.simple.ResultGroup;
import eu.dnetlib.pace.config.DedupConfig;
public class EventFinder {
@ -76,7 +75,6 @@ public class EventFinder {
final Set<String> dsIdWhitelist,
final Set<String> dsIdBlacklist,
final Set<String> dsTypeWhitelist,
final DedupConfig dedupConfig,
final Map<String, LongAccumulator> accumulators) {
final List<UpdateInfo<?>> list = new ArrayList<>();
@ -84,7 +82,7 @@ public class EventFinder {
for (final OaBrokerMainEntity target : results.getData()) {
if (verifyTarget(target, dsIdWhitelist, dsIdBlacklist, dsTypeWhitelist)) {
for (final UpdateMatcher<?> matcher : matchers) {
list.addAll(matcher.searchUpdatesForRecord(target, results.getData(), dedupConfig, accumulators));
list.addAll(matcher.searchUpdatesForRecord(target, results.getData(), accumulators));
}
}
}

54
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/TrustUtils.java
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@ -1,8 +1,62 @@
package eu.dnetlib.dhp.broker.oa.util;
import java.io.IOException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.tree.support.TreeProcessor;
import eu.dnetlib.pace.util.MapDocumentUtil;
public class TrustUtils {
private static final Logger log = LoggerFactory.getLogger(TrustUtils.class);
private static DedupConfig dedupConfig;
static {
final ObjectMapper mapper = new ObjectMapper();
try {
dedupConfig = mapper
.readValue(
DedupConfig.class.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/dedupConfig/dedupConfig.json"),
DedupConfig.class);
} catch (final IOException e) {
log.error("Error loading dedupConfig, e");
}
}
protected static float calculateTrust(final OaBrokerMainEntity r1, final OaBrokerMainEntity r2) {
if (dedupConfig == null) {
return BrokerConstants.MIN_TRUST;
}
try {
final ObjectMapper objectMapper = new ObjectMapper();
final MapDocument doc1 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r1));
final MapDocument doc2 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r2));
final double score = new TreeProcessor(dedupConfig).computeScore(doc1, doc2);
final double threshold = dedupConfig.getWf().getThreshold();
return TrustUtils.rescale(score, threshold);
} catch (final Exception e) {
log.error("Error computing score between results", e);
return BrokerConstants.MIN_TRUST;
}
}
public static float rescale(final double score, final double threshold) {
if (score >= BrokerConstants.MAX_TRUST) {
return BrokerConstants.MAX_TRUST;

41
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/UpdateInfo.java
View File

@ -4,20 +4,11 @@ package eu.dnetlib.dhp.broker.oa.util;
import java.util.function.BiConsumer;
import java.util.function.Function;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.broker.objects.OaBrokerEventPayload;
import eu.dnetlib.broker.objects.OaBrokerInstance;
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
import eu.dnetlib.broker.objects.OaBrokerProvenance;
import eu.dnetlib.dhp.broker.model.Topic;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.tree.support.TreeProcessor;
import eu.dnetlib.pace.util.MapDocumentUtil;
public final class UpdateInfo<T> {
@ -35,20 +26,17 @@ public final class UpdateInfo<T> {
private final float trust;
private static final Logger log = LoggerFactory.getLogger(UpdateInfo.class);
public UpdateInfo(final Topic topic, final T highlightValue, final OaBrokerMainEntity source,
final OaBrokerMainEntity target,
final BiConsumer<OaBrokerMainEntity, T> compileHighlight,
final Function<T, String> highlightToString,
final DedupConfig dedupConfig) {
final Function<T, String> highlightToString) {
this.topic = topic;
this.highlightValue = highlightValue;
this.source = source;
this.target = target;
this.compileHighlight = compileHighlight;
this.highlightToString = highlightToString;
this.trust = calculateTrust(dedupConfig, source, target);
this.trust = TrustUtils.calculateTrust(source, target);
}
public T getHighlightValue() {
@ -63,31 +51,6 @@ public final class UpdateInfo<T> {
return target;
}
private float calculateTrust(final DedupConfig dedupConfig,
final OaBrokerMainEntity r1,
final OaBrokerMainEntity r2) {
if (dedupConfig == null) {
return BrokerConstants.MIN_TRUST;
}
try {
final ObjectMapper objectMapper = new ObjectMapper();
final MapDocument doc1 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r1));
final MapDocument doc2 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r2));
final double score = new TreeProcessor(dedupConfig).computeScore(doc1, doc2);
final double threshold = dedupConfig.getWf().getThreshold();
return TrustUtils.rescale(score, threshold);
} catch (final Exception e) {
log.error("Error computing score between results", e);
return BrokerConstants.MIN_TRUST;
}
}
protected Topic getTopic() {
return topic;
}

61
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/aggregators/stats/DatasourceStats.java Normal file
View File

@ -0,0 +1,61 @@
package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
public class DatasourceStats implements Serializable {
/**
*
*/
private static final long serialVersionUID = -282112564184047677L;
private String id;
private String name;
private String type;
private Map<String, Long> topics = new HashMap<>();
public String getId() {
return id;
}
public void setId(final String id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(final String name) {
this.name = name;
}
public String getType() {
return type;
}
public void setType(final String type) {
this.type = type;
}
public Map<String, Long> getTopics() {
return topics;
}
public void setTopics(final Map<String, Long> topics) {
this.topics = topics;
}
public void incrementTopic(final String topic, final long inc) {
if (topics.containsKey(topic)) {
topics.put(topic, topics.get(topic) + inc);
} else {
topics.put(topic, inc);
}
}
}

59
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/aggregators/stats/StatsAggregator.java Normal file
View File

@ -0,0 +1,59 @@
package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
import org.apache.commons.lang.StringUtils;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.expressions.Aggregator;
import eu.dnetlib.dhp.broker.model.Event;
public class StatsAggregator extends Aggregator<Event, DatasourceStats, DatasourceStats> {
/**
*
*/
private static final long serialVersionUID = 6652105853037330529L;
@Override
public DatasourceStats zero() {
return new DatasourceStats();
}
@Override
public DatasourceStats reduce(final DatasourceStats stats, final Event e) {
stats.setId(e.getMap().getTargetDatasourceId());
stats.setName(e.getMap().getTargetDatasourceName());
stats.setType(e.getMap().getTargetDatasourceType());
stats.incrementTopic(e.getTopic(), 1l);
return stats;
}
@Override
public DatasourceStats merge(final DatasourceStats stats0, final DatasourceStats stats1) {
if (StringUtils.isBlank(stats0.getId())) {
stats0.setId(stats1.getId());
stats0.setName(stats1.getName());
stats0.setType(stats1.getType());
}
stats1.getTopics().entrySet().forEach(e -> stats0.incrementTopic(e.getKey(), e.getValue()));
return stats0;
}
@Override
public Encoder<DatasourceStats> bufferEncoder() {
return Encoders.bean(DatasourceStats.class);
}
@Override
public DatasourceStats finish(final DatasourceStats stats) {
return stats;
}
@Override
public Encoder<DatasourceStats> outputEncoder() {
return Encoders.bean(DatasourceStats.class);
}
}

122
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/dedupConfig/dedupConfig.json Normal file
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@ -0,0 +1,122 @@
{
"wf": {
},
"pace": {
"clustering": [
{
"name": "wordssuffixprefix",
"fields": [
"title"
],
"params": {
"max": "2",
"len": "3"
}
},
{
"name": "lowercase",
"fields": [
"doi"
],
"params": {
}
}
],
"decisionTree": {
"start": {
"fields": [
{
"field": "doi",
"comparator": "exactMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
}
}
],
"threshold": 0.5,
"aggregation": "AVG",
"positive": "MATCH",
"negative": "layer1",
"undefined": "layer1",
"ignoreUndefined": "true"
},
"layer1": {
"fields": [
{
"field": "title",
"comparator": "titleVersionMatch",
"weight": 0.9,
"countIfUndefined": "false",
"params": {
}
},
{
"field": "authors",
"comparator": "sizeMatch",
"weight": 0.9,
"countIfUndefined": "false",
"params": {
}
}
],
"threshold": 0.5,
"aggregation": "AVG",
"positive": "MATCH",
"negative": "layer2",
"undefined": "layer2",
"ignoreUndefined": "true"
},
"layer2": {
"fields": [
{
"field": "title",
"comparator": "levensteinTitle",
"weight": 1.0,
"countIfUndefined": "true",
"params": {
}
}
],
"threshold": 0.99,
"aggregation": "AVG",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
}
},
"model": [
{
"name": "doi",
"type": "String",
"path": "$.pids[?(@.type == 'doi')].value"
},
{
"name": "title",
"type": "String",
"path": "$.titles",
"length": 250,
"size": 5
},
{
"name": "authors",
"type": "List",
"path": "$.creators[*].fullname",
"size": 200
}
],
"blacklists": {
},
"synonyms": {
}
}
}

10
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/generate_all/oozie_app/workflow.xml
View File

@ -8,14 +8,6 @@
<property>
<name>workingPath</name>
<description>the path where the the generated data will be stored</description>
</property>
<property>
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
</property>
<property>
<name>dedupConfProfId</name>
<description>the id of a valid Dedup Configuration Profile</description>
</property>
<property>
<name>datasourceIdWhitelist</name>
@ -427,8 +419,6 @@
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--dedupConfProfile</arg><arg>${dedupConfProfId}</arg>
<arg>--datasourceIdWhitelist</arg><arg>${datasourceIdWhitelist}</arg>
<arg>--datasourceTypeWhitelist</arg><arg>${datasourceTypeWhitelist}</arg>
<arg>--datasourceIdBlacklist</arg><arg>${datasourceIdBlacklist}</arg>

12
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/generate_events.json
View File

@ -5,18 +5,6 @@
"paramDescription": "the path where the generated events will be stored",
"paramRequired": true
},
{
"paramName": "lu",
"paramLongName": "isLookupUrl",
"paramDescription": "the address of the ISLookUpService",
"paramRequired": true
},
{
"paramName": "d",
"paramLongName": "dedupConfProfile",
"paramDescription": "the id of a valid Dedup Configuration Profile",
"paramRequired": true
},
{
"paramName": "datasourceIdWhitelist",
"paramLongName": "datasourceIdWhitelist",

17
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/partial/oozie_app/workflow.xml
View File

@ -9,15 +9,6 @@
<name>workingPath</name>
<description>the path where the the generated data will be stored</description>
</property>
<property>
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
</property>
<property>
<name>dedupConfProfId</name>
<description>the id of a valid Dedup Configuration Profile</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
@ -73,19 +64,19 @@
</configuration>
</global>
<start to="count"/>
<start to="stats"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="count">
<action name="stats">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Count</name>
<class>eu.dnetlib.dhp.broker.oa.CheckDuplictedIdsJob</class>
<name>GenerateStatsJob</name>
<class>eu.dnetlib.dhp.broker.oa.GenerateStatsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}

12
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/matchers/UpdateMatcherTest.java
View File

@ -30,7 +30,7 @@ class UpdateMatcherTest {
final OaBrokerMainEntity p4 = new OaBrokerMainEntity();
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.isEmpty());
}
@ -46,7 +46,7 @@ class UpdateMatcherTest {
res.setPublicationdate("2018");
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.isEmpty());
}
@ -62,7 +62,7 @@ class UpdateMatcherTest {
p2.setPublicationdate("2018");
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.size() == 1);
}
@ -79,7 +79,7 @@ class UpdateMatcherTest {
p2.setPublicationdate("2018");
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.isEmpty());
}
@ -98,7 +98,7 @@ class UpdateMatcherTest {
p4.setPublicationdate("2018");
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.isEmpty());
}
@ -117,7 +117,7 @@ class UpdateMatcherTest {
p4.setPublicationdate("2018");
final Collection<UpdateInfo<String>> list = matcher
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null, null);
.searchUpdatesForRecord(res, Arrays.asList(p1, p2, p3, p4), null);
assertTrue(list.size() == 1);
}

21
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/util/TrustUtilsTest.java
View File

@ -5,6 +5,10 @@ import static org.junit.jupiter.api.Assertions.assertTrue;
import org.junit.jupiter.api.Test;
import eu.dnetlib.broker.objects.OaBrokerAuthor;
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
import eu.dnetlib.broker.objects.OaBrokerTypedValue;
public class TrustUtilsTest {
private static final double THRESHOLD = 0.95;
@ -64,6 +68,23 @@ public class TrustUtilsTest {
verifyValue(2.00, BrokerConstants.MAX_TRUST);
}
@Test
public void test() throws Exception {
final OaBrokerMainEntity r1 = new OaBrokerMainEntity();
r1.getTitles().add("D-NET Service Package: Data Import");
r1.getPids().add(new OaBrokerTypedValue("doi", "123"));
r1.getCreators().add(new OaBrokerAuthor("Michele Artini", null));
r1.getCreators().add(new OaBrokerAuthor("Claudio Atzori", null));
final OaBrokerMainEntity r2 = new OaBrokerMainEntity();
r2.getTitles().add("D-NET Service Package: Data Import");
// r2.getPids().add(new OaBrokerTypedValue("doi", "123"));
r2.getCreators().add(new OaBrokerAuthor("Michele Artini", null));
// r2.getCreators().add(new OaBrokerAuthor("Claudio Atzori", null));
System.out.println("TRUST: " + TrustUtils.calculateTrust(r1, r2));
}
private void verifyValue(final double originalScore, final float expectedTrust) {
final float trust = TrustUtils.rescale(originalScore, THRESHOLD);
System.out.println(trust);

5
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java
View File

@ -47,10 +47,11 @@ public class EntityMergerTest implements Serializable {
@Test
public void softwareMergerTest() throws InstantiationException, IllegalAccessException {
List<Tuple2<String, Software>> softwares = readSample(testEntityBasePath + "/software_merge.json", Software.class);
List<Tuple2<String, Software>> softwares = readSample(
testEntityBasePath + "/software_merge.json", Software.class);
Software merged = DedupRecordFactory
.entityMerger(dedupId, softwares.iterator(), 0, dataInfo, Software.class);
.entityMerger(dedupId, softwares.iterator(), 0, dataInfo, Software.class);
System.out.println(merged.getBestaccessright().getClassid());
}

5
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java
View File

@ -8,7 +8,6 @@ import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.oa.graph.raw.AbstractMdRecordToOafMapper;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
@ -24,6 +23,7 @@ import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.graph.raw.AbstractMdRecordToOafMapper;
import eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils;
import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
import eu.dnetlib.dhp.schema.common.ModelConstants;
@ -151,7 +151,8 @@ public class CleanGraphSparkJob {
if (Objects.isNull(r.getBestaccessright()) || StringUtils.isBlank(r.getBestaccessright().getClassid())) {
Qualifier bestaccessrights = AbstractMdRecordToOafMapper.createBestAccessRights(r.getInstance());
if (Objects.isNull(bestaccessrights)) {
r.setBestaccessright(
r
.setBestaccessright(
qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES));
} else {
r.setBestaccessright(bestaccessrights);

7
dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_db/oozie_app/workflow.xml
View File

@ -16,6 +16,11 @@
<name>postgresPassword</name>
<description>the password postgres</description>
</property>
<property>
<name>dbSchema</name>
<value>beta</value>
<description>the database schema according to the D-Net infrastructure (beta or production)</description>
</property>
<property>
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
@ -93,6 +98,7 @@
<arg>--postgresUser</arg><arg>${postgresUser}</arg>
<arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--dbschema</arg><arg>${dbSchema}</arg>
</java>
<ok to="ImportDB_claims"/>
<error to="Kill"/>
@ -109,6 +115,7 @@
<arg>--postgresUser</arg><arg>${postgresUser}</arg>
<arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--dbschema</arg><arg>${dbSchema}</arg>
<arg>--action</arg><arg>claims</arg>
</java>
<ok to="End"/>

25
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/CreateRelatedEntitiesJob_phase1.java
View File

@ -9,6 +9,7 @@ import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
@ -115,11 +116,21 @@ public class CreateRelatedEntitiesJob_phase1 {
Encoders.tuple(Encoders.STRING(), Encoders.kryo(Relation.class)))
.cache();
Dataset<Tuple2<String, RelatedEntity>> entities = readPathEntity(spark, inputEntityPath, clazz)
final String relatedEntityPath = outputPath + "_relatedEntity";
readPathEntity(spark, inputEntityPath, clazz)
.filter("dataInfo.invisible == false")
.map(
(MapFunction<E, RelatedEntity>) value -> asRelatedEntity(value, clazz),
Encoders.kryo(RelatedEntity.class))
.repartition(5000)
.write()
.mode(SaveMode.Overwrite)
.parquet(relatedEntityPath);
Dataset<Tuple2<String, RelatedEntity>> entities = spark
.read()
.load(relatedEntityPath)
.as(Encoders.kryo(RelatedEntity.class))
.map(
(MapFunction<RelatedEntity, Tuple2<String, RelatedEntity>>) e -> new Tuple2<>(e.getId(), e),
Encoders.tuple(Encoders.STRING(), Encoders.kryo(RelatedEntity.class)))
@ -165,13 +176,21 @@ public class CreateRelatedEntitiesJob_phase1 {
Result result = (Result) entity;
if (result.getTitle() != null && !result.getTitle().isEmpty()) {
re.setTitle(result.getTitle().stream().findFirst().get());
final StructuredProperty title = result.getTitle().stream().findFirst().get();
title.setValue(StringUtils.left(title.getValue(), ProvisionConstants.MAX_TITLE_LENGTH));
re.setTitle(title);
}
re.setDateofacceptance(getValue(result.getDateofacceptance()));
re.setPublisher(getValue(result.getPublisher()));
re.setResulttype(result.getResulttype());
re.setInstances(result.getInstance());
re
.setInstances(
result
.getInstance()
.stream()
.limit(ProvisionConstants.MAX_INSTANCES)
.collect(Collectors.toList()));
// TODO still to be mapped
// re.setCodeRepositoryUrl(j.read("$.coderepositoryurl"));

17
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/CreateRelatedEntitiesJob_phase2.java
View File

@ -61,12 +61,6 @@ public class CreateRelatedEntitiesJob_phase2 {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final int MAX_EXTERNAL_ENTITIES = 50;
private static final int MAX_AUTHORS = 200;
private static final int MAX_AUTHOR_FULLNAME_LENGTH = 1000;
private static final int MAX_TITLE_LENGTH = 5000;
private static final int MAX_ABSTRACT_LENGTH = 100000;
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
@ -246,15 +240,15 @@ public class CreateRelatedEntitiesJob_phase2 {
List<ExternalReference> refs = r
.getExternalReference()
.stream()
.limit(MAX_EXTERNAL_ENTITIES)
.limit(ProvisionConstants.MAX_EXTERNAL_ENTITIES)
.collect(Collectors.toList());
r.setExternalReference(refs);
}
if (r.getAuthor() != null) {
List<Author> authors = Lists.newArrayList();
for (Author a : r.getAuthor()) {
a.setFullname(StringUtils.left(a.getFullname(), MAX_AUTHOR_FULLNAME_LENGTH));
if (authors.size() < MAX_AUTHORS || hasORCID(a)) {
a.setFullname(StringUtils.left(a.getFullname(), ProvisionConstants.MAX_AUTHOR_FULLNAME_LENGTH));
if (authors.size() < ProvisionConstants.MAX_AUTHORS || hasORCID(a)) {
authors.add(a);
}
}
@ -266,7 +260,7 @@ public class CreateRelatedEntitiesJob_phase2 {
.stream()
.filter(Objects::nonNull)
.map(d -> {
d.setValue(StringUtils.left(d.getValue(), MAX_ABSTRACT_LENGTH));
d.setValue(StringUtils.left(d.getValue(), ProvisionConstants.MAX_ABSTRACT_LENGTH));
return d;
})
.collect(Collectors.toList());
@ -278,9 +272,10 @@ public class CreateRelatedEntitiesJob_phase2 {
.stream()
.filter(Objects::nonNull)
.map(t -> {
t.setValue(StringUtils.left(t.getValue(), MAX_TITLE_LENGTH));
t.setValue(StringUtils.left(t.getValue(), ProvisionConstants.MAX_TITLE_LENGTH));
return t;
})
.limit(ProvisionConstants.MAX_TITLES)
.collect(Collectors.toList());
r.setTitle(titles);
}

54
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/PrepareRelationsJob.java
View File

@ -100,11 +100,17 @@ public class PrepareRelationsJob {
.orElse(new HashSet<>());
log.info("relationFilter: {}", relationFilter);
int maxRelations = Optional
.ofNullable(parser.get("maxRelations"))
int sourceMaxRelations = Optional
.ofNullable(parser.get("sourceMaxRelations"))
.map(Integer::valueOf)
.orElse(MAX_RELS);
log.info("maxRelations: {}", maxRelations);
log.info("sourceMaxRelations: {}", sourceMaxRelations);
int targetMaxRelations = Optional
.ofNullable(parser.get("targetMaxRelations"))
.map(Integer::valueOf)
.orElse(MAX_RELS);
log.info("targetMaxRelations: {}", targetMaxRelations);
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
@ -116,7 +122,8 @@ public class PrepareRelationsJob {
spark -> {
removeOutputDir(spark, outputPath);
prepareRelationsRDD(
spark, inputRelationsPath, outputPath, relationFilter, maxRelations, relPartitions);
spark, inputRelationsPath, outputPath, relationFilter, sourceMaxRelations, targetMaxRelations,
relPartitions);
});
}
@ -129,31 +136,40 @@ public class PrepareRelationsJob {
* @param inputRelationsPath source path for the graph relations
* @param outputPath output path for the processed relations
* @param relationFilter set of relation filters applied to the `relClass` field
* @param maxRelations maximum number of allowed outgoing edges
* @param sourceMaxRelations maximum number of allowed outgoing edges grouping by relation.source
* @param targetMaxRelations maximum number of allowed outgoing edges grouping by relation.target
* @param relPartitions number of partitions for the output RDD
*/
private static void prepareRelationsRDD(SparkSession spark, String inputRelationsPath, String outputPath,
Set<String> relationFilter, int maxRelations, int relPartitions) {
Set<String> relationFilter, int sourceMaxRelations, int targetMaxRelations, int relPartitions) {
// group by SOURCE and apply limit
RDD<Relation> bySource = readPathRelationRDD(spark, inputRelationsPath)
JavaRDD<Relation> rels = readPathRelationRDD(spark, inputRelationsPath)
.filter(rel -> rel.getDataInfo().getDeletedbyinference() == false)
.filter(rel -> relationFilter.contains(rel.getRelClass()) == false)
.mapToPair(r -> new Tuple2<>(SortableRelationKey.create(r, r.getSource()), r))
.filter(rel -> relationFilter.contains(rel.getRelClass()) == false);
JavaRDD<Relation> pruned = pruneRels(
pruneRels(
rels,
sourceMaxRelations, relPartitions, (Function<Relation, String>) r -> r.getSource()),
targetMaxRelations, relPartitions, (Function<Relation, String>) r -> r.getTarget());
spark
.createDataset(pruned.rdd(), Encoders.bean(Relation.class))
.repartition(relPartitions)
.write()
.mode(SaveMode.Overwrite)
.parquet(outputPath);
}
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)
.rdd();
spark
.createDataset(bySource, Encoders.bean(Relation.class))
.repartition(relPartitions)
.write()
.mode(SaveMode.Overwrite)
.parquet(outputPath);
.map(Tuple2::_2);
}
// experimental

14
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/ProvisionConstants.java Normal file
View File

@ -0,0 +1,14 @@
package eu.dnetlib.dhp.oa.provision;
public class ProvisionConstants {
public static final int MAX_EXTERNAL_ENTITIES = 50;
public static final int MAX_AUTHORS = 200;
public static final int MAX_AUTHOR_FULLNAME_LENGTH = 1000;
public static final int MAX_TITLE_LENGTH = 5000;
public static final int MAX_TITLES = 10;
public static final int MAX_ABSTRACT_LENGTH = 100000;
public static final int MAX_INSTANCES = 10;
}

22
dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/model/SortableRelationKey.java
View File

@ -16,18 +16,18 @@ public class SortableRelationKey implements Comparable<SortableRelationKey>, Ser
private static final Map<String, Integer> weights = Maps.newHashMap();
static {
weights.put("outcome", 0);
weights.put("supplement", 1);
weights.put("review", 2);
weights.put("citation", 3);
weights.put("affiliation", 4);
weights.put("relationship", 5);
weights.put("publicationDataset", 6);
weights.put("similarity", 7);
weights.put("participation", 0);
weights.put("provision", 8);
weights.put("participation", 9);
weights.put("dedup", 10);
weights.put("outcome", 1);
weights.put("affiliation", 2);
weights.put("dedup", 3);
weights.put("publicationDataset", 4);
weights.put("citation", 5);
weights.put("supplement", 6);
weights.put("review", 7);
weights.put("relationship", 8);
weights.put("provision", 9);
weights.put("similarity", 10);
}
private static final long serialVersionUID = 3232323;

13
dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/input_params_prepare_relations.json
View File

@ -30,9 +30,16 @@
"paramRequired": false
},
{
"paramName": "mr",
"paramLongName": "maxRelations",
"paramDescription": "maximum number of relations allowed for a each entity",
"paramName": "smr",
"paramLongName": "sourceMaxRelations",
"paramDescription": "maximum number of relations allowed for a each entity grouping by source",
"paramRequired": false
},
{
"paramName": "tmr",
"paramLongName": "targetMaxRelations",
"paramDescription": "maximum number of relations allowed for a each entity grouping by target",
"paramRequired": false
}
]

40
dhp-workflows/dhp-graph-provision/src/main/resources/eu/dnetlib/dhp/oa/provision/oozie_app/workflow.xml
View File

@ -18,8 +18,12 @@
<description>filter applied reading relations (by relClass)</description>
</property>
<property>
<name>maxRelations</name>
<description>maximum number of relations allowed for a each entity</description>
<name>sourceMaxRelations</name>
<description>maximum number of relations allowed for a each entity grouping by source</description>
</property>
<property>
<name>targetMaxRelations</name>
<description>maximum number of relations allowed for a each entity grouping by target</description>
</property>
<property>
<name>otherDsTypeId</name>
@ -133,7 +137,8 @@
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${inputGraphRootPath}/relation</arg>
<arg>--outputPath</arg><arg>${workingDir}/relation</arg>
<arg>--maxRelations</arg><arg>${maxRelations}</arg>
<arg>--sourceMaxRelations</arg><arg>${sourceMaxRelations}</arg>
<arg>--targetMaxRelations</arg><arg>${targetMaxRelations}</arg>
<arg>--relationFilter</arg><arg>${relationFilter}</arg>
<arg>--relPartitions</arg><arg>5000</arg>
</spark>
@ -166,7 +171,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
--conf spark.sql.shuffle.partitions=15000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -193,7 +198,7 @@
--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=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -220,7 +225,7 @@
--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=10000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -247,7 +252,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -274,7 +279,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -301,7 +306,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -328,7 +333,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
@ -367,7 +372,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=15360
--conf spark.sql.shuffle.partitions=15000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/publication</arg>
@ -395,7 +400,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
--conf spark.sql.shuffle.partitions=10000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/dataset</arg>
@ -423,7 +428,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
--conf spark.sql.shuffle.partitions=10000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/otherresearchproduct</arg>
@ -451,7 +456,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/software</arg>
@ -479,7 +484,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
--conf spark.sql.shuffle.partitions=8000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/datasource</arg>
@ -507,7 +512,7 @@
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
--conf spark.sql.shuffle.partitions=10000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/organization</arg>
@ -535,7 +540,7 @@
--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=5000
--conf spark.network.timeout=${sparkNetworkTimeout}
</spark-opts>
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/project</arg>
@ -607,5 +612,4 @@
</action>
<end name="End"/>
</workflow-app>