91 lines
2.8 KiB
Java
91 lines
2.8 KiB
Java
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package eu.dnetlib.dhp.oa.graph.dump.community;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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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.api.java.function.MapFunction;
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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.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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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.oa.graph.dump.Utils;
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import eu.dnetlib.dhp.oa.model.community.CommunityResult;
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import scala.Tuple2;
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public class SparkUpdateProjectInfo implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkUpdateProjectInfo.class);
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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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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SparkUpdateProjectInfo.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/dump/project_input_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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final String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final String preparedInfoPath = parser.get("preparedInfoPath");
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log.info("preparedInfoPath: {}", preparedInfoPath);
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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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Utils.removeOutputDir(spark, outputPath);
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extend(spark, inputPath, outputPath, preparedInfoPath);
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});
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}
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private static void extend(
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SparkSession spark,
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String inputPath,
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String outputPath,
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String preparedInfoPath) {
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Dataset<CommunityResult> result = Utils.readPath(spark, inputPath, CommunityResult.class);
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Dataset<ResultProject> resultProject = Utils.readPath(spark, preparedInfoPath, ResultProject.class);
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result
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.joinWith(
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resultProject, result.col("id").equalTo(resultProject.col("resultId")),
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"left")
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.map((MapFunction<Tuple2<CommunityResult, ResultProject>, CommunityResult>) value -> {
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CommunityResult r = value._1();
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Optional.ofNullable(value._2()).ifPresent(rp -> r.setProjects(rp.getProjectsList()));
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return r;
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}, Encoders.bean(CommunityResult.class))
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Append)
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.json(outputPath);
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}
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}
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