forked from D-Net/dnet-hadoop
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57 lines
2.0 KiB
Java
57 lines
2.0 KiB
Java
package eu.dnetlib.dhp.migration;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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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.hadoop.io.Text;
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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.sql.SparkSession;
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import scala.Tuple2;
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import java.util.Arrays;
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import java.util.List;
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public class ExtractEntitiesFromHDFSJob {
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private static List<String> folderNames = Arrays.asList("db_entities", "oaf_entities", "odf_entities");
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils.toString(MigrateMongoMdstoresApplication.class.getResourceAsStream("/eu/dnetlib/dhp/migration/extract_entities_from_hdfs_parameters.json")));
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parser.parseArgument(args);
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final SparkSession spark = SparkSession
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.builder()
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.appName(ExtractEntitiesFromHDFSJob.class.getSimpleName())
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.master(parser.get("master"))
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.getOrCreate();
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final String sourcePath = parser.get("sourcePath");
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final String targetPath = parser.get("graphRawPath");
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final String entity = parser.get("entity");
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<String> inputRdd = sc.emptyRDD();
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folderNames.forEach(p -> inputRdd.union(
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sc.sequenceFile(sourcePath+"/"+p, Text.class, Text.class)
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.map(k -> new Tuple2<>(k._1().toString(), k._2().toString()))
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.filter(k -> isEntityType(k._1(), entity))
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.map(Tuple2::_2))
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);
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inputRdd.saveAsTextFile(targetPath+"/"+entity);
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}
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private static boolean isEntityType(final String item, final String entity) {
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return StringUtils.substringAfter(item, ":").equalsIgnoreCase(entity);
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}
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}
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