数据湖探索 DLI-使用Spark作业访问DLI元数据:scala样例代码

时间：2024-12-05 10:45:40

数据湖探索 DLI Spark Jar作业开发指南

scala样例代码

object DliCatalogTest {
  def main(args:Array[String]): Unit = {
    val sql = args(0)
    val runDdl =
Try(args(1).toBoolean).getOrElse(true)
    System.out.println(s"sql is $sql
runDdl is $runDdl")
    val sparkConf = new SparkConf(true)
    sparkConf    
      .set("spark.sql.session.state.builder","org.apache.spark.sql.hive.UQueryHiveACLSessionStateBuilder")
      .set("spark.sql.catalog.class","org.apache.spark.sql.hive.UQueryHiveACLExternalCatalog") 
    sparkConf.setAppName("dlicatalogtester")

    val spark = SparkSession.builder
      .config(sparkConf)
      .enableHiveSupport()
      .config("spark.sql.extensions","org.apache.spark.sql.DliSparkExtension")
      .appName("SparkTest")
      .getOrCreate()

    System.out.println("catalog is "
+ spark.sessionState.catalog.toString)
    if (runDdl) {
      val df = spark.sql(sql).collect()
    } else {
      spark.sql(sql).show()
    }

    spark.close()
  }

}

上一篇：数据湖探索 DLI-使用Spark作业访问DLI元数据:环境准备

下一篇：数据湖探索 DLI-使用Spark作业访问DLI元数据:Python样例代码