# 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')]