forked from D-Net/dnet-hadoop
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44 lines
1.8 KiB
Java
44 lines
1.8 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.hadoop.io.Text;
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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.SaveMode;
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import org.apache.spark.sql.SparkSession;
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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(SparkGraphImporterJob.class.getSimpleName())
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.master(parser.get("master"))
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.config("hive.metastore.uris", parser.get("hive_metastore_uris"))
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.enableHiveSupport()
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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 hiveDbName = parser.get("hive_db_name");
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spark.sql(String.format("CREATE DATABASE IF NOT EXISTS %s", hiveDbName));
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// Read the input file and convert it into RDD of serializable object
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GraphMappingUtils.types.forEach((name, clazz) -> {
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spark.createDataset(sc.sequenceFile(inputPath + "/" + name, Text.class, Text.class)
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.map(s -> new ObjectMapper().readValue(s._2().toString(), clazz))
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.rdd(), Encoders.bean(clazz))
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.write()
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.mode(SaveMode.Overwrite)
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.saveAsTable(hiveDbName + "." + name);
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});
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}
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}
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