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