Hi everyone,
Consider the following code:
val result = df.groupBy("col1").agg(min("col2"))
I know that rdd.reduceByKey(func) produces the same RDD as
rdd.groupByKey().mapValues(value => value.reduce(func)) However reducerByKey
is more efficient as it avoids shipping each value to the reducer doing the
aggregation (it ships partial aggregations instead).
I wonder whether the DataFrame API optimizes the code doing something
similar to what RDD.reduceByKey does.
I am using Spark 1.6.2.
Regards,
Luis
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