Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop
This commit is contained in:
commit
7e96105947
|
@ -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>
|
||||
|
|
|
@ -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 {
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|||
final String workingPath = parser.get("workingPath");
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||||
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;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -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);
|
||||
});
|
||||
}
|
||||
|
||||
}
|
|
@ -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));
|
||||
|
||||
|
|
|
@ -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()) {
|
||||
|
|
|
@ -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));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
@ -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;
|
||||
|
|
|
@ -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;
|
||||
}
|
||||
|
|
|
@ -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);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
|
@ -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);
|
||||
|
||||
}
|
||||
}
|
|
@ -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": {
|
||||
|
||||
}
|
||||
}
|
||||
}
|
|
@ -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>
|
||||
|
|
|
@ -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",
|
||||
|
|
|
@ -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}
|
||||
|
|
|
@ -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);
|
||||
}
|
||||
|
|
|
@ -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);
|
||||
|
|
|
@ -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);
|
||||
|
||||
assertEquals(merged.getBestaccessright().getClassid(), "OPEN SOURCE");
|
||||
}
|
||||
|
|
|
@ -23,6 +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;
|
||||
|
@ -97,7 +98,7 @@ public class CleanGraphSparkJob {
|
|||
.json(outputPath);
|
||||
}
|
||||
|
||||
private static <T extends Oaf> T fixDefaults(T value) {
|
||||
protected static <T extends Oaf> T fixDefaults(T value) {
|
||||
if (value instanceof Datasource) {
|
||||
// nothing to clean here
|
||||
} else if (value instanceof Project) {
|
||||
|
@ -134,11 +135,6 @@ public class CleanGraphSparkJob {
|
|||
.setResourcetype(
|
||||
qualifier("UNKNOWN", "Unknown", ModelConstants.DNET_DATA_CITE_RESOURCE));
|
||||
}
|
||||
if (Objects.isNull(r.getBestaccessright()) || StringUtils.isBlank(r.getBestaccessright().getClassid())) {
|
||||
r
|
||||
.setBestaccessright(
|
||||
qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES));
|
||||
}
|
||||
if (Objects.nonNull(r.getInstance())) {
|
||||
for (Instance i : r.getInstance()) {
|
||||
if (Objects.isNull(i.getAccessright()) || StringUtils.isBlank(i.getAccessright().getClassid())) {
|
||||
|
@ -152,6 +148,16 @@ 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(
|
||||
qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES));
|
||||
} else {
|
||||
r.setBestaccessright(bestaccessrights);
|
||||
}
|
||||
}
|
||||
if (Objects.nonNull(r.getAuthor())) {
|
||||
boolean nullRank = r
|
||||
.getAuthor()
|
||||
|
|
|
@ -378,6 +378,10 @@ public abstract class AbstractMdRecordToOafMapper {
|
|||
|
||||
protected abstract Field<String> prepareDatasetStorageDate(Document doc, DataInfo info);
|
||||
|
||||
public static Qualifier createBestAccessRights(final List<Instance> instanceList) {
|
||||
return getBestAccessRights(instanceList);
|
||||
}
|
||||
|
||||
protected static Qualifier getBestAccessRights(final List<Instance> instanceList) {
|
||||
if (instanceList != null) {
|
||||
final Optional<Qualifier> min = instanceList
|
||||
|
|
|
@ -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"/>
|
||||
|
|
|
@ -57,6 +57,8 @@ public class CleaningFunctionTest {
|
|||
String json = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/result.json"));
|
||||
Publication p_in = MAPPER.readValue(json, Publication.class);
|
||||
|
||||
assertNull(p_in.getBestaccessright());
|
||||
|
||||
assertTrue(p_in instanceof Result);
|
||||
assertTrue(p_in instanceof Publication);
|
||||
|
||||
|
@ -84,6 +86,9 @@ public class CleaningFunctionTest {
|
|||
.map(p -> p.getQualifier())
|
||||
.allMatch(q -> pidTerms.contains(q.getClassid())));
|
||||
|
||||
Publication p_defaults = CleanGraphSparkJob.fixDefaults(p_out);
|
||||
assertEquals("CLOSED", p_defaults.getBestaccessright().getClassid());
|
||||
|
||||
// TODO add more assertions to verity the cleaned values
|
||||
System.out.println(MAPPER.writeValueAsString(p_out));
|
||||
|
||||
|
|
|
@ -185,12 +185,7 @@
|
|||
"surname": ""
|
||||
}
|
||||
],
|
||||
"bestaccessright": {
|
||||
"classid": "CLOSED",
|
||||
"classname": "Closed Access",
|
||||
"schemeid": "dnet:access_modes",
|
||||
"schemename": "dnet:access_modes"
|
||||
},
|
||||
"bestaccessright": null,
|
||||
"collectedfrom": [
|
||||
{
|
||||
"key": "10|CSC_________::a2b9ce8435390bcbfc05f3cae3948747",
|
||||
|
|
|
@ -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"));
|
||||
|
|
|
@ -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);
|
||||
}
|
||||
|
|
|
@ -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
|
||||
|
|
|
@ -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;
|
||||
|
||||
}
|
|
@ -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;
|
||||
|
|
|
@ -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
|
||||
}
|
||||
|
||||
]
|
||||
|
|
|
@ -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>
|
Loading…
Reference in New Issue