85 lines
2.3 KiB
Java
85 lines
2.3 KiB
Java
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package eu.dnetlib.dhp;
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import static eu.dnetlib.dhp.PropagationConstant.isSparkSessionManaged;
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import static eu.dnetlib.dhp.PropagationConstant.readPath;
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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 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.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 eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Result;
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/**
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* @author miriam.baglioni
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* @Date 15/01/24
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*/
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public class MoveResult implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(MoveResult.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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MoveResult.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/wf/subworkflows/input_moveresult_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 = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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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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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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moveResults(spark, inputPath, outputPath);
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});
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}
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public static <R extends Result> void moveResults(SparkSession spark, String inputPath, String outputPath) {
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ModelSupport.entityTypes
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.keySet()
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.parallelStream()
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.filter(e -> ModelSupport.isResult(e))
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// .parallelStream()
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.forEach(e -> {
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Class<R> resultClazz = ModelSupport.entityTypes.get(e);
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Dataset<R> resultDataset = readPath(spark, inputPath + e.name(), resultClazz);
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if (resultDataset.count() > 0) {
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resultDataset
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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 + e.name());
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}
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});
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}
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}
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