Github user koertkuipers commented on the issue: https://github.com/apache/spark/pull/15979 admittedly the result looks weird. it really should be: +-----------+--------+ | key|count(1)| +-----------+--------+ | null| 1| | [1,1]| 1| +-----------+--------+ is that a separate bug or related? i remember running into this before, because serializing and then deserializing None comes back out as Some((null, null)), which causes NPE in codegen. i ran into this with Aggregator buffers. On Sun, Dec 4, 2016 at 12:13 PM, Koert Kuipers <ko...@tresata.com> wrote: > spark 2.0.x does not have mapValues. but this works: > > scala> Seq(("a", Some((1, 1))), ("a", None)).toDS.groupByKey(_._2). > count.show > +-----------+--------+ > | key|count(1)| > +-----------+--------+ > |[null,null]| 1| > | [1,1]| 1| > +-----------+--------+ > > > > On Sun, Dec 4, 2016 at 9:59 AM, Koert Kuipers <ko...@tresata.com> wrote: > >> Yes it worked before >> >> On Dec 4, 2016 02:33, "Wenchen Fan" <notificati...@github.com> wrote: >> >>> val x: Dataset[String, Option[(String, String)]] = ... >>> x.groupByKey(_._1).mapValues(_._2).agg(someAgg) >>> >>> Does it work before? >>> >>> Please see the discussion in the JIRA: https://issues.apache.org/jira >>> /browse/SPARK-18251 >>> Ideally we have a map between type T and catalyst schema, and Option[T] >>> maps to the same catalyst schema with T, with additional null handling. >>> We shouldn't change this mapping, which means we can't use a single field >>> struct type to represent Option[T]. >>> >>> It's still possible to support Option[T] completely(without breaking >>> backward compatibility), but that may need a lof of hacky code and special >>> handling, I don't think it worth, as we can easy work around it, by >>> Tuple1. >>> >>> â >>> You are receiving this because you commented. >>> Reply to this email directly, view it on GitHub >>> <https://github.com/apache/spark/pull/15979#issuecomment-264689198>, or mute >>> the thread >>> <https://github.com/notifications/unsubscribe-auth/AAyIJD-_dmJODKn5_k8MHRFaJkHvL9uRks5rEmzCgaJpZM4K5fEL> >>> . >>> >> >
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