I have a dataset of (user, product, review)
, and want to feed it into mllib\'s ALS algorithm.
The algorithm needs users and products to be numbers, whil
Starting with Spark 1.0 there are two methods you can use to solve this easily:
RDD.zipWithIndex
is just like Seq.zipWithIndex
, it adds contiguous (Long
) numbers. This needs to count the elements in each partition first, so your input will be evaluated twice. Cache your input RDD if you want to use this.RDD.zipWithUniqueId
also gives you unique Long
IDs, but they are not guaranteed to be contiguous. (They will only be contiguous if each partition has the same number of elements.) The upside is that this does not need to know anything about the input, so it will not cause double-evaluation.