forked from D-Net/dnet-hadoop
stats
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@ -0,0 +1,63 @@
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package eu.dnetlib.dhp.broker.oa;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.TypedColumn;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.broker.model.Event;
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import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.stats.DatasourceStats;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.stats.StatsAggregator;
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public class GenerateStatsJob {
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private static final Logger log = LoggerFactory.getLogger(GenerateStatsJob.class);
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public static void main(final String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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IndexOnESJob.class
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.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
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parser.parseArgument(args);
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final Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final SparkConf conf = new SparkConf();
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final String eventsPath = parser.get("workingPath") + "/events";
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log.info("eventsPath: {}", eventsPath);
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final String statsPath = parser.get("workingPath") + "/stats";
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log.info("stats: {}", statsPath);
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final TypedColumn<Event, DatasourceStats> aggr = new StatsAggregator().toColumn();
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runWithSparkSession(conf, isSparkSessionManaged, spark -> {
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final Dataset<DatasourceStats> stats = ClusterUtils
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.readPath(spark, eventsPath, Event.class)
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.groupByKey(e -> e.getMap().getTargetDatasourceId(), Encoders.STRING())
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.agg(aggr)
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.map(t -> t._2, Encoders.bean(DatasourceStats.class));
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ClusterUtils.save(stats, statsPath, DatasourceStats.class, null);
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});
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}
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}
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@ -7,7 +7,6 @@ import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.TypedColumn;
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@ -65,9 +64,7 @@ public class JoinStep2Job {
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final Dataset<OaBrokerMainEntity> dataset = sources
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.joinWith(typedRels, sources.col("openaireId").equalTo(typedRels.col("source")), "left_outer")
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.groupByKey(
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(MapFunction<Tuple2<OaBrokerMainEntity, RelatedSoftware>, String>) t -> t._1.getOpenaireId(),
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Encoders.STRING())
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.groupByKey(t -> t._1.getOpenaireId(), Encoders.STRING())
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.agg(aggr)
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.map(t -> t._2, Encoders.bean(OaBrokerMainEntity.class));
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@ -0,0 +1,61 @@
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package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
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import java.io.Serializable;
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import java.util.HashMap;
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import java.util.Map;
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public class DatasourceStats implements Serializable {
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/**
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*
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*/
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private static final long serialVersionUID = -282112564184047677L;
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private String id;
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private String name;
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private String type;
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private Map<String, Long> topics = new HashMap<>();
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public String getId() {
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return id;
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}
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public void setId(final String id) {
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this.id = id;
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}
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public String getName() {
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return name;
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}
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public void setName(final String name) {
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this.name = name;
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}
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public String getType() {
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return type;
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}
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public void setType(final String type) {
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this.type = type;
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}
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public Map<String, Long> getTopics() {
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return topics;
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}
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public void setTopics(final Map<String, Long> topics) {
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this.topics = topics;
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}
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public void incrementTopic(final String topic, final long inc) {
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if (topics.containsKey(topic)) {
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topics.put(topic, topics.get(topic) + inc);
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} else {
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topics.put(topic, inc);
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}
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}
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}
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@ -0,0 +1,59 @@
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package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
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import org.apache.commons.lang.StringUtils;
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import org.apache.spark.sql.Encoder;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.expressions.Aggregator;
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import eu.dnetlib.dhp.broker.model.Event;
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public class StatsAggregator extends Aggregator<Event, DatasourceStats, DatasourceStats> {
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/**
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*
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*/
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private static final long serialVersionUID = 6652105853037330529L;
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@Override
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public DatasourceStats zero() {
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return new DatasourceStats();
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}
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@Override
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public DatasourceStats reduce(final DatasourceStats stats, final Event e) {
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stats.setId(e.getMap().getTargetDatasourceId());
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stats.setName(e.getMap().getTargetDatasourceName());
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stats.setType(e.getMap().getTargetDatasourceType());
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stats.incrementTopic(e.getTopic(), 1l);
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return stats;
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}
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@Override
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public DatasourceStats merge(final DatasourceStats stats0, final DatasourceStats stats1) {
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if (StringUtils.isBlank(stats0.getId())) {
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stats0.setId(stats1.getId());
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stats0.setName(stats1.getName());
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stats0.setType(stats1.getType());
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}
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stats1.getTopics().entrySet().forEach(e -> stats0.incrementTopic(e.getKey(), e.getValue()));
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return stats0;
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}
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@Override
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public Encoder<DatasourceStats> bufferEncoder() {
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return Encoders.bean(DatasourceStats.class);
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}
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@Override
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public DatasourceStats finish(final DatasourceStats stats) {
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return stats;
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}
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@Override
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public Encoder<DatasourceStats> outputEncoder() {
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return Encoders.bean(DatasourceStats.class);
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}
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}
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@ -64,19 +64,19 @@
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</configuration>
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</global>
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<start to="count"/>
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<start to="stats"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="count">
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<action name="stats">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Count</name>
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<class>eu.dnetlib.dhp.broker.oa.CheckDuplictedIdsJob</class>
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<name>GenerateStatsJob</name>
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<class>eu.dnetlib.dhp.broker.oa.GenerateStatsJob</class>
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<jar>dhp-broker-events-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-cores=${sparkExecutorCores}
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@ -47,7 +47,8 @@ public class EntityMergerTest implements Serializable {
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@Test
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public void softwareMergerTest() throws InstantiationException, IllegalAccessException {
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List<Tuple2<String, Software>> softwares = readSample(testEntityBasePath + "/software_merge.json", Software.class);
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List<Tuple2<String, Software>> softwares = readSample(
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testEntityBasePath + "/software_merge.json", Software.class);
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Software merged = DedupRecordFactory
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.entityMerger(dedupId, softwares.iterator(), 0, dataInfo, Software.class);
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import java.util.Optional;
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import java.util.stream.Collectors;
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import eu.dnetlib.dhp.oa.graph.raw.AbstractMdRecordToOafMapper;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.graph.raw.AbstractMdRecordToOafMapper;
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import eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils;
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import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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@ -151,7 +151,8 @@ public class CleanGraphSparkJob {
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if (Objects.isNull(r.getBestaccessright()) || StringUtils.isBlank(r.getBestaccessright().getClassid())) {
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Qualifier bestaccessrights = AbstractMdRecordToOafMapper.createBestAccessRights(r.getInstance());
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if (Objects.isNull(bestaccessrights)) {
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r.setBestaccessright(
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r
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.setBestaccessright(
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qualifier("UNKNOWN", "not available", ModelConstants.DNET_ACCESS_MODES));
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} else {
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r.setBestaccessright(bestaccessrights);
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