forked from D-Net/dnet-hadoop
111 lines
3.3 KiB
Java
111 lines
3.3 KiB
Java
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package eu.dnetlib.dhp.actionmanager.project;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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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.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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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.project.csvutils.CSVProgramme;
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import eu.dnetlib.dhp.actionmanager.project.csvutils.CSVProject;
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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 scala.Tuple2;
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public class PrepareProjects {
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private static final Logger log = LoggerFactory.getLogger(PrepareProgramme.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static final HashMap<String, CSVProgramme> programmeMap = new HashMap<>();
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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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PrepareProjects.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/project/prepare_project_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 projectPath = parser.get("projectPath");
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log.info("projectPath {}: ", projectPath);
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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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exec(spark, projectPath, outputPath);
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});
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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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private static void exec(SparkSession spark, String progjectPath, String outputPath) {
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Dataset<CSVProject> project = readPath(spark, progjectPath, CSVProject.class);
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project
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.toJavaRDD()
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.flatMap(p -> {
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List<CSVProject> csvProjectList = new ArrayList<>();
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String[] programme = p.getProgramme().split(";");
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if (programme.length > 1) {
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String id = p.getId();
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for (int i = 0; i < programme.length; i++) {
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CSVProject csvProject = new CSVProject();
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csvProject.setProgramme(programme[i]);
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csvProject.setId(id);
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csvProjectList.add(csvProject);
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}
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} else {
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csvProjectList.add(p);
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}
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return csvProjectList.iterator();
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})
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.map(p -> OBJECT_MAPPER.writeValueAsString(p))
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.saveAsTextFile(outputPath);
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}
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputPath, Class<R> clazz) {
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return spark
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.read()
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.textFile(inputPath)
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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}
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