101 lines
3.4 KiB
Java
101 lines
3.4 KiB
Java
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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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