92 lines
2.9 KiB
Java
92 lines
2.9 KiB
Java
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package eu.dnetlib.dhp.oa.graph.hive;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import static eu.dnetlib.dhp.schema.common.ModelSupport.tableIdentifier;
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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.spark.SparkConf;
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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.SaveMode;
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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.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.oaf.Oaf;
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public class GraphHiveTableImporterJob {
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private static final Logger log = LoggerFactory.getLogger(GraphHiveTableImporterJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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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
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.toString(
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GraphHiveTableImporterJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/hive_table_importer_parameters.json")));
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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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int numPartitions = Optional
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.ofNullable(parser.get("numPartitions"))
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.map(Integer::valueOf)
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.orElse(-1);
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log.info("numPartitions: {}", numPartitions);
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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String hiveDbName = parser.get("hiveDbName");
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log.info("hiveDbName: {}", hiveDbName);
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final String className = parser.get("className");
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log.info("className: {}", className);
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Class<? extends Oaf> clazz = (Class<? extends Oaf>) Class.forName(className);
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String hiveMetastoreUris = parser.get("hiveMetastoreUris");
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log.info("hiveMetastoreUris: {}", hiveMetastoreUris);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", hiveMetastoreUris);
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runWithSparkHiveSession(
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conf, isSparkSessionManaged, spark -> loadGraphTable(spark, inputPath, hiveDbName, clazz, numPartitions));
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}
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// protected for testing
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private static <T extends Oaf> void loadGraphTable(SparkSession spark, String inputPath, String hiveDbName,
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Class<T> clazz, int numPartitions) {
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Dataset<String> dataset = spark.read().textFile(inputPath);
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if (numPartitions > 0) {
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log.info("repartitioning {} to {} partitions", clazz.getSimpleName(), numPartitions);
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dataset = dataset.repartition(numPartitions);
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}
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dataset
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.map((MapFunction<String, T>) s -> OBJECT_MAPPER.readValue(s, clazz), Encoders.bean(clazz))
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.write()
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.mode(SaveMode.Overwrite)
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.saveAsTable(tableIdentifier(hiveDbName, clazz));
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}
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}
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