forked from D-Net/dnet-hadoop
124 lines
3.8 KiB
Java
124 lines
3.8 KiB
Java
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package eu.dnetlib.dhp.resulttocommunityfromproject;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.*;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.compress.GzipCodec;
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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.*;
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import org.apache.spark.sql.types.DataTypes;
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import org.apache.spark.sql.types.StructType;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.google.gson.Gson;
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import eu.dnetlib.dhp.api.Utils;
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import eu.dnetlib.dhp.api.model.CommunityEntityMap;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultOrganizations;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import scala.Tuple2;
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public class PrepareResultCommunitySet {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySet.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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PrepareResultCommunitySet.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/resulttocommunityfromproject/input_preparecommunitytoresult_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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final String baseURL = parser.get("baseURL");
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log.info("baseUEL: {}", baseURL);
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final CommunityEntityMap projectsMap = Utils.getCommunityProjects(baseURL);
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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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removeOutputDir(spark, outputPath);
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prepareInfo(spark, inputPath, outputPath, projectsMap);
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});
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}
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private static void prepareInfo(
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SparkSession spark,
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String inputPath,
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String outputPath,
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CommunityEntityMap projectMap) {
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final StructType structureSchema = new StructType()
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.add(
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"dataInfo", new StructType()
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.add("deletedbyinference", DataTypes.BooleanType)
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.add("invisible", DataTypes.BooleanType))
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.add("source", DataTypes.StringType)
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.add("target", DataTypes.StringType)
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.add("relClass", DataTypes.StringType);
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spark
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.read()
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.schema(structureSchema)
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.json(inputPath)
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.filter(
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"dataInfo.deletedbyinference != true " +
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"and relClass == '" + ModelConstants.IS_PRODUCED_BY + "'")
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.select(
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new Column("source").as("resultId"),
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new Column("target").as("projectId"))
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.groupByKey((MapFunction<Row, String>) r -> (String) r.getAs("resultId"), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, Row, ResultProjectList>) (k, v) -> {
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ResultProjectList rpl = new ResultProjectList();
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rpl.setResultId(k);
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ArrayList<String> cl = new ArrayList<>();
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cl.addAll(projectMap.get(v.next().getAs("projectId")));
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v.forEachRemaining(r -> {
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projectMap
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.get(r.getAs("projectId"))
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.forEach(c -> {
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if (!cl.contains(c))
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cl.add(c);
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});
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});
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if (cl.size() == 0)
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return null;
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rpl.setCommunityList(cl);
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return rpl;
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}, Encoders.bean(ResultProjectList.class))
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.filter(Objects::nonNull)
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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);
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}
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}
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