Spark程序中使用SQL语句查询创建的临时表的方法是什么？

、注意这里的表不是Hive里面的表，而是一个RDD：

scala> val results = spark.sql("SELECT * FROM yahoo_stocks_temp")

scala> results.map(t => "Stock Entry: " +t.toString).collect().foreach(println)

……

Stock Entry:[1996-05-06,32.50008,32.50008,29.37504,30.12504,8214400,1.25521]

Stock Entry: [1996-05-03,32.25,32.50008,31.24992,31.99992,6116800,1.33333]

Stock Entry:[1996-05-02,31.5,33.25008,31.5,32.87496,9731200,1.36979]

Stock Entry:[1996-05-01,30.25008,31.75008,30.0,31.62504,4881600,1.31771]

Stock Entry: [1996-04-30,31.24992,31.5,29.50008,29.74992,5003200,1.23958]

……