forked from D-Net/dnet-hadoop
indexing only a subset of eventsa
This commit is contained in:
parent
55e24c2547
commit
6e60bf026a
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@ -2,7 +2,6 @@
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package eu.dnetlib.dhp.broker.model;
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import java.text.ParseException;
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import java.util.Date;
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import java.util.List;
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import java.util.stream.Collectors;
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@ -19,16 +18,12 @@ public class EventFactory {
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private final static String PRODUCER_ID = "OpenAIRE";
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private static final int TTH_DAYS = 365;
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private final static String[] DATE_PATTERNS = {
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"yyyy-MM-dd"
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};
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public static Event newBrokerEvent(final UpdateInfo<?> updateInfo) {
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final long now = new Date().getTime();
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final Event res = new Event();
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final MappedFields map = createMapFromResult(updateInfo);
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@ -44,8 +39,8 @@ public class EventFactory {
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res.setPayload(updateInfo.asBrokerPayload().toJSON());
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res.setMap(map);
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res.setTopic(updateInfo.getTopicPath());
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res.setCreationDate(now);
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res.setExpiryDate(calculateExpiryDate(now));
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res.setCreationDate(0l);
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res.setExpiryDate(Long.MAX_VALUE);
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res.setInstantMessage(false);
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return res;
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@ -96,7 +91,9 @@ public class EventFactory {
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return map;
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}
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private static String calculateEventId(final String topic, final String dsId, final String publicationId,
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private static String calculateEventId(final String topic,
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final String dsId,
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final String publicationId,
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final String value) {
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return "event-"
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+ DigestUtils.md5Hex(topic).substring(0, 4) + "-"
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@ -105,10 +102,6 @@ public class EventFactory {
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+ DigestUtils.md5Hex(value).substring(0, 5);
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}
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private static long calculateExpiryDate(final long now) {
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return now + TTH_DAYS * 24 * 60 * 60 * 1000;
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}
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private static long parseDateTolong(final String date) {
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if (StringUtils.isBlank(date)) {
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return -1;
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@ -28,7 +28,7 @@ public class GenerateStatsJob {
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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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GenerateStatsJob.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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@ -0,0 +1,100 @@
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package eu.dnetlib.dhp.broker.oa;
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import java.util.Date;
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import java.util.HashMap;
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import java.util.Map;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang3.math.NumberUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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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.SparkSession;
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import org.apache.spark.sql.TypedColumn;
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import org.apache.spark.util.LongAccumulator;
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import org.elasticsearch.spark.rdd.api.java.JavaEsSpark;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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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.EventGroup;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.subset.EventSubsetAggregator;
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public class IndexEventSubsetJob {
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private static final Logger log = LoggerFactory.getLogger(IndexEventSubsetJob.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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IndexEventSubsetJob.class
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.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/index_event_subset.json")));
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parser.parseArgument(args);
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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 index = parser.get("index");
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log.info("index: {}", index);
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final String indexHost = parser.get("esHost");
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log.info("indexHost: {}", indexHost);
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final int maxEventsForTopic = NumberUtils.toInt(parser.get("maxEventsForTopic"));
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log.info("maxEventsForTopic: {}", maxEventsForTopic);
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final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();
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final TypedColumn<Event, EventGroup> aggr = new EventSubsetAggregator(maxEventsForTopic).toColumn();
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final LongAccumulator total = spark.sparkContext().longAccumulator("total_indexed");
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final long now = new Date().getTime();
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final Dataset<Event> subset = ClusterUtils
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.readPath(spark, eventsPath, Event.class)
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.groupByKey(e -> e.getTopic() + '@' + e.getMap().getTargetDatasourceId(), Encoders.STRING())
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.agg(aggr)
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.map(t -> t._2, Encoders.bean(EventGroup.class))
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.flatMap(g -> g.getData().iterator(), Encoders.bean(Event.class));
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final JavaRDD<String> inputRdd = subset
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.map(e -> prepareEventForIndexing(e, now, total), Encoders.STRING())
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.javaRDD();
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final Map<String, String> esCfg = new HashMap<>();
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// esCfg.put("es.nodes", "10.19.65.51, 10.19.65.52, 10.19.65.53, 10.19.65.54");
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esCfg.put("es.index.auto.create", "false");
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esCfg.put("es.nodes", indexHost);
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esCfg.put("es.mapping.id", "eventId"); // THE PRIMARY KEY
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esCfg.put("es.batch.write.retry.count", "8");
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esCfg.put("es.batch.write.retry.wait", "60s");
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esCfg.put("es.batch.size.entries", "200");
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esCfg.put("es.nodes.wan.only", "true");
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JavaEsSpark.saveJsonToEs(inputRdd, index, esCfg);
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}
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private static String prepareEventForIndexing(final Event e, final long creationDate, final LongAccumulator acc)
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throws JsonProcessingException {
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acc.add(1);
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e.setCreationDate(creationDate);
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e.setExpiryDate(Long.MAX_VALUE);
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return new ObjectMapper().writeValueAsString(e);
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}
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}
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@ -20,6 +20,7 @@ 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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@Deprecated
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public class IndexOnESJob {
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private static final Logger log = LoggerFactory.getLogger(IndexOnESJob.class);
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@ -0,0 +1,67 @@
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package eu.dnetlib.dhp.broker.oa.util.aggregators.subset;
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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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import eu.dnetlib.dhp.broker.oa.util.EventGroup;
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public class EventSubsetAggregator extends Aggregator<Event, EventGroup, EventGroup> {
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/**
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*
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*/
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private static final long serialVersionUID = -678071078823059805L;
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private final int maxEventsForTopic;
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public EventSubsetAggregator(final int maxEventsForTopic) {
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this.maxEventsForTopic = maxEventsForTopic;
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}
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@Override
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public EventGroup zero() {
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return new EventGroup();
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}
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@Override
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public EventGroup reduce(final EventGroup g, final Event e) {
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if (g.getData().size() < maxEventsForTopic) {
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g.getData().add(e);
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}
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return g;
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}
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@Override
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public EventGroup merge(final EventGroup g0, final EventGroup g1) {
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final int missing = maxEventsForTopic - g0.getData().size();
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if (missing > 0) {
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if (g1.getData().size() < missing) {
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g0.getData().addAll(g1.getData());
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} else {
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g0.getData().addAll(g1.getData().subList(0, missing));
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}
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}
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return g0;
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}
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@Override
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public EventGroup finish(final EventGroup g) {
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return g;
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}
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@Override
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public Encoder<EventGroup> outputEncoder() {
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return Encoders.bean(EventGroup.class);
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}
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@Override
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public Encoder<EventGroup> bufferEncoder() {
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return Encoders.bean(EventGroup.class);
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}
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}
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@ -25,13 +25,17 @@
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<description>a black list (comma separeted, - for empty list) of datasource ids</description>
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</property>
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<property>
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<name>esIndexName</name>
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<name>esEventIndexName</name>
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<description>the elasticsearch index name</description>
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</property>
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<property>
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<name>esIndexHost</name>
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<description>the elasticsearch host</description>
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</property>
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<property>
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<name>maxIndexedEventsForDsAndTopic</name>
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<description>the max number of events for each couple (ds/topic)</description>
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</property>
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<property>
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<name>sparkDriverMemory</name>
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<description>memory for driver process</description>
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<arg>--datasourceTypeWhitelist</arg><arg>${datasourceTypeWhitelist}</arg>
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<arg>--datasourceIdBlacklist</arg><arg>${datasourceIdBlacklist}</arg>
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</spark>
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<ok to="index_es"/>
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<ok to="index_event_subset"/>
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<error to="Kill"/>
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</action>
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<action name="index_es">
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<action name="index_event_subset">
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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>IndexOnESJob</name>
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<class>eu.dnetlib.dhp.broker.oa.IndexOnESJob</class>
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<name>IndexEventSubsetOnESJob</name>
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<class>eu.dnetlib.dhp.broker.oa.IndexEventSubsetJob</class>
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<jar>dhp-broker-events-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--index</arg><arg>${esIndexName}</arg>
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<arg>--index</arg><arg>${esEventIndexName}</arg>
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<arg>--esHost</arg><arg>${esIndexHost}</arg>
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<arg>--maxEventsForTopic</arg><arg>${maxIndexedEventsForDsAndTopic}</arg>
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</spark>
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<ok to="stats"/>
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<error to="Kill"/>
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@ -0,0 +1,26 @@
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[
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{
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"paramName": "o",
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"paramLongName": "workingPath",
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"paramDescription": "the workinh path",
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"paramRequired": true
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},
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{
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"paramName": "idx",
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"paramLongName": "index",
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"paramDescription": "the ES index",
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"paramRequired": true
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},
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{
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"paramName": "es",
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"paramLongName": "esHost",
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"paramDescription": "the ES host",
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"paramRequired": true
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},
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{
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"paramName": "n",
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"paramLongName": "maxEventsForTopic",
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"paramDescription": "the max number of events for each couple (ds/topic)",
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"paramRequired": true
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}
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]
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@ -8,6 +8,33 @@
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<property>
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<name>workingPath</name>
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<description>the path where the the generated data will be stored</description>
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</property>
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<property>
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<name>datasourceIdWhitelist</name>
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<value>-</value>
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<description>a white list (comma separeted, - for empty list) of datasource ids</description>
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</property>
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<property>
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<name>datasourceTypeWhitelist</name>
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<value>-</value>
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<description>a white list (comma separeted, - for empty list) of datasource types</description>
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</property>
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<property>
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<name>datasourceIdBlacklist</name>
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<value>-</value>
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<description>a black list (comma separeted, - for empty list) of datasource ids</description>
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</property>
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<property>
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<name>esEventIndexName</name>
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<description>the elasticsearch index name</description>
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</property>
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<property>
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<name>esIndexHost</name>
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<description>the elasticsearch host</description>
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</property>
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<property>
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<name>maxIndexedEventsForDsAndTopic</name>
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<description>the max number of events for each couple (ds/topic)</description>
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</property>
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<property>
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<name>sparkDriverMemory</name>
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@ -64,18 +91,18 @@
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</configuration>
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</global>
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<start to="index_es"/>
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<start to="index_event_subset"/>
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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="index_es">
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<action name="index_event_subset">
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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>IndexOnESJob</name>
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<class>eu.dnetlib.dhp.broker.oa.IndexOnESJob</class>
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<name>IndexEventSubsetOnESJob</name>
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<class>eu.dnetlib.dhp.broker.oa.IndexEventSubsetJob</class>
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<jar>dhp-broker-events-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--index</arg><arg>${esIndexName}</arg>
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<arg>--index</arg><arg>${esEventIndexName}</arg>
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<arg>--esHost</arg><arg>${esIndexHost}</arg>
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<arg>--maxEventsForTopic</arg><arg>${maxIndexedEventsForDsAndTopic}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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