我有一个Dataframe，我正试图将它保存为我的配置单元表。我已经尝试了所有可能的方法，但无法将其保存为hdp3.0中的表。我正在使用下面的代码。

var sparksession =  SparkSession.builder()
    .appName("appname")
    .config("hive.exec.dynamic.partition",  "true")
    .config("hive.exec.dynamic.partition.mode",   "nonstrict")
    .config("spark.sql.sources.maxConcurrentWrites","1")
    .config("hive.support.concurrency", "true")
    .config("parquet.compression", "SNAPPY")
    .config("parquet.enable.dictionary", "false")
    .config("spark.sql.parquet.compression.codec", "snappy")
    .config("hive.mapred.mode", "nonstrict")
    .config("spark.sql.hive.hiveserver2.jdbc.url","url")
    .enableHiveSupport()
    .getOrCreate()

    val hive = com.hortonworks.spark.sql.hive.llap.HiveWarehouseBuilder.session(sparksession).build()
    hive.setDatabase("testdb")
    val d1="select id,name,salary,city from testdb.test";
    val d2=hive.executeQuery(d1)
    d2.show //showing hive table's data.

    d2.write.format("orc").mode("append").saveAsTable("testdb.test_2")
  //test_2 table is already  created in testdb database.
    //but here getting error 'testdb' not found

    d2.write.format("orc").mode("append").saveAsTable("default.test_2")

    //if am using default then its not giving any error but saving data in 
    spark metadata not as a hive table.
    //same code is working fine in cloudera and am am getting data 
    in hive table but in hdp it's giving error.

我也尝试过save（）方法，但在使用save方法时，我不能使用bucket by。有谁能建议我如何将这个Dataframe直接保存到hdp3.0中的配置单元表中吗