111 lines
3.5 KiB
Java
111 lines
3.5 KiB
Java
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package eu.dnetlib.dhp.broker.oa;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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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.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.apache.spark.sql.expressions.Aggregator;
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import org.apache.spark.util.LongAccumulator;
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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 scala.Tuple2;
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public class CheckDuplictedIdsJob {
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private static final Logger log = LoggerFactory.getLogger(CheckDuplictedIdsJob.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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CheckDuplictedIdsJob.class
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.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/check_duplicates.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("outputDir") + "/events";
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log.info("eventsPath: {}", eventsPath);
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final String countPath = parser.get("outputDir") + "/counts";
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log.info("countPath: {}", countPath);
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final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();
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final LongAccumulator total = spark.sparkContext().longAccumulator("invaild_event_id");
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final Encoder<Tuple2<String, Long>> encoder = Encoders.tuple(Encoders.STRING(), Encoders.LONG());
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ClusterUtils
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.readPath(spark, eventsPath, Event.class)
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.map((MapFunction<Event, Tuple2<String, Long>>) e -> new Tuple2<>(e.getEventId(), 1l), encoder)
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.groupByKey((MapFunction<Tuple2<String, Long>, String>) t -> t._1, Encoders.STRING())
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.agg(new CountAggregator().toColumn())
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.map((MapFunction<Tuple2<String, Tuple2<String, Long>>, Tuple2<String, Long>>) t -> t._2, encoder)
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.filter((FilterFunction<Tuple2<String, Long>>) t -> t._2 > 1)
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.map(
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(MapFunction<Tuple2<String, Long>, Tuple2<String, Long>>) o -> ClusterUtils
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.incrementAccumulator(o, total),
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encoder)
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(countPath);
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}
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}
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class CountAggregator extends Aggregator<Tuple2<String, Long>, Tuple2<String, Long>, Tuple2<String, Long>> {
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/**
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*
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*/
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private static final long serialVersionUID = 1395935985734672538L;
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@Override
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public Encoder<Tuple2<String, Long>> bufferEncoder() {
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return Encoders.tuple(Encoders.STRING(), Encoders.LONG());
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}
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@Override
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public Tuple2<String, Long> finish(final Tuple2<String, Long> arg0) {
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return arg0;
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}
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@Override
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public Tuple2<String, Long> merge(final Tuple2<String, Long> arg0, final Tuple2<String, Long> arg1) {
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return doMerge(arg0, arg1);
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}
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@Override
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public Encoder<Tuple2<String, Long>> outputEncoder() {
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return Encoders.tuple(Encoders.STRING(), Encoders.LONG());
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}
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@Override
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public Tuple2<String, Long> reduce(final Tuple2<String, Long> arg0, final Tuple2<String, Long> arg1) {
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return doMerge(arg0, arg1);
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}
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private Tuple2<String, Long> doMerge(final Tuple2<String, Long> arg0, final Tuple2<String, Long> arg1) {
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final String s = StringUtils.defaultIfBlank(arg0._1, arg1._1);
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return new Tuple2<>(s, arg0._2 + arg1._2);
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}
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@Override
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public Tuple2<String, Long> zero() {
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return new Tuple2<>(null, 0l);
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}
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}
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