forked from D-Net/dnet-hadoop
103 lines
2.9 KiB
Java
103 lines
2.9 KiB
Java
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package eu.dnetlib.dhp.oa.merge;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Objects;
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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.commons.lang3.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.*;
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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.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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public class DispatchEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(DispatchEntitiesSparkJob.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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Objects
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.requireNonNull(
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DispatchEntitiesSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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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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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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boolean filterInvisible = Optional
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.ofNullable(parser.get("filterInvisible"))
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.map(Boolean::valueOf)
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.orElse(Boolean.FALSE);
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log.info("filterInvisible: {}", filterInvisible);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
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dispatchEntities(spark, inputPath, outputPath, filterInvisible);
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});
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}
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private static void dispatchEntities(
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SparkSession spark,
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String inputPath,
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String outputPath,
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boolean filterInvisible) {
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Dataset<String> df = spark.read().textFile(inputPath);
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ModelSupport.oafTypes.entrySet().parallelStream().forEach(entry -> {
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String entityType = entry.getKey();
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Class<?> clazz = entry.getValue();
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if (!entityType.equalsIgnoreCase("relation")) {
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Dataset<Row> entityDF = spark
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.read()
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.schema(Encoders.bean(clazz).schema())
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.json(
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df
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.filter((FilterFunction<String>) s -> s.startsWith(clazz.getName()))
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.map(
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(MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"),
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Encoders.STRING()));
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if (filterInvisible) {
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entityDF = entityDF.filter("dataInfo.invisible != true");
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}
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entityDF
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(outputPath + "/" + entityType);
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}
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});
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}
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}
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