scala spark 调用hivecontext

import org.apache.spark.rdd.RDD

def save(data: RDD[ModelReplay], modelKey: String, dt: String): Unit = {

  val tableName = s"tmp.model_replay_${modelKey}_di"

  val hiveContext = new org.apache.spark.sql.hive.HiveContext(data.sparkContext)

  import hiveContext.implicits._
  data.toDF().registerTempTable("result_table")

  val sql_create_table = s"create table if not exists ${tableName}( " +
    s"order_id bigint ," +
    s"pctr double " +
    s" )partitioned by (dt string comment '') stored as orc"

  val sql_insert = s"insert into ${tableName} partition(dt='${dt}') select order_id,pre from result_table"

  println("sql_create_table="+sql_create_table)
  // 创建表
  hiveContext.sql(sql_create_table)

  println("sql_insert="+sql_insert)
  // 插入数据
  hiveContext.sql(sql_insert)

}