forked from D-Net/dnet-hadoop
49 lines
2.0 KiB
Java
49 lines
2.0 KiB
Java
package eu.dnetlib.dhp.graph;
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import com.fasterxml.jackson.databind.ObjectMapper;
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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.lang.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.Encoders;
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import org.apache.spark.sql.SparkSession;
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import scala.Tuple2;
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public class SparkGraphImporterJob {
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkGraphImporterJob.class.getResourceAsStream("/eu/dnetlib/dhp/graph/input_graph_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("ImportGraph")
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.master(parser.get("master"))
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.getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String outputPath = parser.get("targetPath");
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final String filter = parser.get("filter");
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// Read the input file and convert it into RDD of serializable object
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final JavaRDD<Tuple2<String, String>> inputRDD = sc.sequenceFile(inputPath, Text.class, Text.class)
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.map(item -> new Tuple2<>(item._1.toString(), item._2.toString()));
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GraphMappingUtils.types.forEach((name, clazz) -> {
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if (StringUtils.isNotBlank(filter) || filter.toLowerCase().contains(name)) {
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spark.createDataset(inputRDD
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.filter(s -> s._1().equals(clazz.getName()))
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.map(Tuple2::_2)
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.map(s -> new ObjectMapper().readValue(s, clazz))
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.rdd(), Encoders.bean(clazz))
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.write()
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.save(outputPath + "/" + name);
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}
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});
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}
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}
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