spark.sql vs SqlContext

Question

I have used SQL in Spark, in this example:

results = spark.sql(\"select * from ventas\")

where ventas is a dataframe, previosuly cataloged

Answer 1

• Next create the df1 as javaobject

  df1=sqlcontext.sql("select col1,col2,col3 from table")
  

• Next create df2 as DATAFRAME

  df2=spark.sql("select col1,col2,col3 from table")
  

Check the difference using type(df2) and type(df1)