Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9358#discussion_r43842039
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -441,6 +537,17 @@ class Dataset[T] private(
/** Collects the elements to an Array. */
def collect(): Array[T] = rdd.collect()
+ /**
+ * (Java-specific)
+ * Collects the elements to a Java list.
+ *
+ * Due to the incompatibility problem between Scala and Java, the return
type of [[collect()]] at
--- End diff --
I see, then we should have collect as list too.
On Nov 4, 2015 5:19 AM, "Wenchen Fan" <[email protected]> wrote:
> In sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
> <https://github.com/apache/spark/pull/9358#discussion_r43841577>:
>
> > @@ -441,6 +537,17 @@ class Dataset[T] private(
> > /** Collects the elements to an Array. */
> > def collect(): Array[T] = rdd.collect()
> >
> > + /**
> > + * (Java-specific)
> > + * Collects the elements to a Java list.
> > + *
> > + * Due to the incompatibility problem between Scala and Java, the
return type of [[collect()]] at
>
> We can construct right type of array while calling RDD.collect, the
> problem is the interface. At java side the return type of RDD.collect()
> is java.lang.Object and we need to do a type cast, which is not friendly
> to users.
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/9358/files#r43841577>.
>
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