64 lines
2.0 KiB
Java
64 lines
2.0 KiB
Java
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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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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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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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