106 lines
3.3 KiB
Java
106 lines
3.3 KiB
Java
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package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
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import static eu.dnetlib.dhp.actionmanager.Constants.*;
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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.ArrayList;
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import java.util.List;
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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.api.java.function.MapGroupsFunction;
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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 eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
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import eu.dnetlib.dhp.schema.oaf.Subject;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import eu.dnetlib.dhp.utils.DHPUtils;
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public class PrepareSDGSparkJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareSDGSparkJob.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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PrepareSDGSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_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 sourcePath = parser.get("sourcePath");
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log.info("sourcePath: {}", sourcePath);
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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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doPrepare(
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spark,
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sourcePath,
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outputPath);
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});
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}
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private static void doPrepare(SparkSession spark, String sourcePath, String outputPath) {
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Dataset<SDGDataModel> sdgDataset = readPath(spark, sourcePath, SDGDataModel.class);
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sdgDataset
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.groupByKey((MapFunction<SDGDataModel, String>) r -> r.getDoi().toLowerCase(), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, SDGDataModel, Result>) (k, it) -> {
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Result r = new Result();
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r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
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SDGDataModel first = it.next();
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List<Subject> sbjs = new ArrayList<>();
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sbjs.add(getSubject(first.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
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it
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.forEachRemaining(
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s -> sbjs
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.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
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r.setSubject(sbjs);
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r
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.setDataInfo(
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OafMapperUtils
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.dataInfo(
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false, null, true,
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false,
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OafMapperUtils
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.qualifier(
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ModelConstants.PROVENANCE_ENRICH,
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null,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS),
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null));
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return r;
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}, Encoders.bean(Result.class))
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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 + "/sdg");
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}
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}
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