Spark: Sort an RDD by multiple values in a tuple / columns

问题

So I have an RDD as follows

RDD[(String, Int, String)]

And as an example

    ('b', 1, 'a')
    ('a', 1, 'b')
    ('a', 0, 'b')
    ('a', 0, 'a')

The final result should look something like

('a', 0, 'a')
('a', 0, 'b')
('a', 1, 'b')
('b', 1, 'a')

How would I do something like this?

回答1:

Try this:

rdd.sortBy(r => r)

If you wanted to switch the sort order around, you could do this:

rdd.sortBy(r => (r._3, r._1, r._2))

For reverse order:

rdd.sortBy(r => r, false)

来源：https://stackoverflow.com/questions/36393224/spark-sort-an-rdd-by-multiple-values-in-a-tuple-columns