54 lines
2.1 KiB
Scala
54 lines
2.1 KiB
Scala
package eu.dnetlib.dhp.sx.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 eu.dnetlib.dhp.schema.sx.scholix.Scholix
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import eu.dnetlib.dhp.schema.sx.summary.ScholixSummary
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import org.apache.commons.io.IOUtils
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import org.apache.hadoop.io.compress.GzipCodec
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession}
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import org.slf4j.{Logger, LoggerFactory}
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object SparkConvertObjectToJson {
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def main(args: Array[String]): Unit = {
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val log: Logger = LoggerFactory.getLogger(getClass)
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val conf: SparkConf = new SparkConf()
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val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/convert_object_json_params.json")))
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parser.parseArgument(args)
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val spark: SparkSession =
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SparkSession
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.builder()
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.config(conf)
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.appName(getClass.getSimpleName)
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.master(parser.get("master")).getOrCreate()
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val sourcePath = parser.get("sourcePath")
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log.info(s"sourcePath -> $sourcePath")
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val targetPath = parser.get("targetPath")
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log.info(s"targetPath -> $targetPath")
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val objectType = parser.get("objectType")
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log.info(s"objectType -> $objectType")
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implicit val scholixEncoder: Encoder[Scholix] = Encoders.kryo[Scholix]
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implicit val summaryEncoder: Encoder[ScholixSummary] = Encoders.kryo[ScholixSummary]
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val mapper = new ObjectMapper
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objectType.toLowerCase match {
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case "scholix" =>
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log.info("Serialize Scholix")
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val d: Dataset[Scholix] = spark.read.load(sourcePath).as[Scholix]
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d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(6000).saveAsTextFile(targetPath, classOf[GzipCodec])
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case "summary" =>
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log.info("Serialize Summary")
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val d: Dataset[ScholixSummary] = spark.read.load(sourcePath).as[ScholixSummary]
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d.map(s => mapper.writeValueAsString(s))(Encoders.STRING).rdd.repartition(1000).saveAsTextFile(targetPath, classOf[GzipCodec])
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}
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}
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}
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