187 lines
6.0 KiB
Java
187 lines
6.0 KiB
Java
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package eu.dnetlib.dhp.actionmanager.bipfinder;
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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.List;
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import java.util.stream.Collectors;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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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.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.actionmanager.bipmodel.BipScore;
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import eu.dnetlib.dhp.actionmanager.bipmodel.score.deserializers.BipProjectModel;
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import eu.dnetlib.dhp.actionmanager.bipmodel.score.deserializers.BipResultModel;
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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.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.KeyValue;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import scala.Tuple2;
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/**
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* created the Atomic Action for each tipe of results
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*/
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public class SparkAtomicActionScoreJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkAtomicActionScoreJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/bipfinder/input_actionset_parameter.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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final String resultsInputPath = parser.get("resultsInputPath");
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log.info("resultsInputPath: {}", resultsInputPath);
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final String projectsInputPath = parser.get("projectsInputPath");
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log.info("projectsInputPath: {}", projectsInputPath);
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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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removeOutputDir(spark, outputPath);
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JavaPairRDD<Text, Text> resultsRDD = prepareResults(spark, resultsInputPath, outputPath);
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JavaPairRDD<Text, Text> projectsRDD = prepareProjects(spark, projectsInputPath, outputPath);
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resultsRDD
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.union(projectsRDD)
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.saveAsHadoopFile(
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outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
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});
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}
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private static <I extends Project> JavaPairRDD<Text, Text> prepareProjects(SparkSession spark, String inputPath,
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String outputPath) {
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// read input bip project scores
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Dataset<BipProjectModel> projectScores = readPath(spark, inputPath, BipProjectModel.class);
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return projectScores.map((MapFunction<BipProjectModel, Project>) bipProjectScores -> {
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Project project = new Project();
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project.setId(bipProjectScores.getProjectId());
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project.setMeasures(bipProjectScores.toMeasures());
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return project;
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}, Encoders.bean(Project.class))
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.toJavaRDD()
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.map(p -> new AtomicAction(Project.class, p))
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.mapToPair(
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aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
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new Text(OBJECT_MAPPER.writeValueAsString(aa))));
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}
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private static <I extends Result> JavaPairRDD<Text, Text> prepareResults(SparkSession spark, String bipScorePath,
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String outputPath) {
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaRDD<BipResultModel> bipDeserializeJavaRDD = sc
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.textFile(bipScorePath)
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.map(item -> OBJECT_MAPPER.readValue(item, BipResultModel.class));
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Dataset<BipScore> bipScores = spark
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.createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> {
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BipScore bs = new BipScore();
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bs.setId(key);
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bs.setScoreList(entry.get(key));
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return bs;
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}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class));
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return bipScores.map((MapFunction<BipScore, Result>) bs -> {
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Result ret = new Result();
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ret.setId(bs.getId());
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ret.setMeasures(getMeasure(bs));
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return ret;
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}, Encoders.bean(Result.class))
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.toJavaRDD()
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.map(p -> new AtomicAction(Result.class, p))
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.mapToPair(
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aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
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new Text(OBJECT_MAPPER.writeValueAsString(aa))));
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}
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private static List<Measure> getMeasure(BipScore value) {
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return value
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.getScoreList()
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.stream()
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.map(score -> {
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Measure m = new Measure();
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m.setId(score.getId());
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m
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.setUnit(
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score
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.getUnit()
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.stream()
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.map(unit -> {
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KeyValue kv = new KeyValue();
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kv.setValue(unit.getValue());
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kv.setKey(unit.getKey());
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kv
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.setDataInfo(
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OafMapperUtils
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.dataInfo(
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false,
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UPDATE_DATA_INFO_TYPE,
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true,
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false,
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OafMapperUtils
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.qualifier(
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UPDATE_MEASURE_BIP_CLASS_ID,
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UPDATE_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS),
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""));
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return kv;
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})
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.collect(Collectors.toList()));
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return m;
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})
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.collect(Collectors.toList());
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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}
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