# Returns a DataFrame representing the result of the given query df.createOrReplaceTempView("table1") df2 = spark.sql("SELECT field1 AS f1, field2 as f2 from table1") df2.collect() # [Row(f1=1, f2='row1'), Row(f1=2, f2='row2'), Row(f1=3, f2='row3')]