Aggregating the same column twice

There are cases where dot notation can be more cumbersome than SQL. This exercise calculates the first and last times for each train line. The following code does this using dot notation.

from pyspark.sql.functions import min, max, col
expr = [min(col("time")).alias('start'), max(col("time")).alias('end')]
dot_df = df.groupBy("train_id").agg(*expr)
dot_df.show()

+--------+-----+-----+
|train_id|start|  end|
+--------+-----+-----+
|     217|6:06a|6:59a|
|     324|7:59a|9:05a|
+--------+-----+-----+

Your mission is to achieve this same result using a SQL query. The dataframe df has been registered as a table named schedule.

Write a SQL query that gives an identical result to the dot notation query.

Take Hint (-30 XP)

Exercise

Aggregating the same column twice

Instructions