SPARK-1160: Deprecate toArray in RDD

https://spark-project.atlassian.net/browse/SPARK-1160

reported by @mateiz: "It's redundant with collect() and the name doesn't make sense in Java, where we return a List (we can't return an array due to the way Java generics work). It's also missing in Python."

In this patch, I deprecated the method and changed the source files using it by replacing toArray with collect() directly

Author: CodingCat <zhunansjtu@gmail.com>

Closes #105 from CodingCat/SPARK-1060 and squashes the following commits:

286f163 [CodingCat] deprecate in JavaRDDLike
ee17b4e [CodingCat] add message and since
2ff7319 [CodingCat] deprecate toArray in RDD

2 files changed, 3 insertions, 3 deletions

diff --git a/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala b/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala
index 17bafc2218..ce4b3c8451 100644
--- a/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala
@@ -128,11 +128,11 @@ object SparkALS {
       println("Iteration " + iter + ":")
       ms = sc.parallelize(0 until M, slices)
                 .map(i => update(i, msb.value(i), usb.value, Rc.value))
-                .toArray
+                .collect()
       msb = sc.broadcast(ms) // Re-broadcast ms because it was updated
       us = sc.parallelize(0 until U, slices)
                 .map(i => update(i, usb.value(i), msb.value, algebra.transpose(Rc.value)))
-                .toArray
+                .collect()
       usb = sc.broadcast(us) // Re-broadcast us because it was updated
       println("RMSE = " + rmse(R, ms, us))
       println()
diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/SparkSVD.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/SparkSVD.scala
index 19676fcc1a..ce2b133368 100644
--- a/examples/src/main/scala/org/apache/spark/examples/mllib/SparkSVD.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/mllib/SparkSVD.scala
@@ -54,6 +54,6 @@ object SparkSVD {
     val s = decomposed.S.data
     val v = decomposed.V.data
 
-    println("singular values = " + s.toArray.mkString)
+    println("singular values = " + s.collect().mkString)
   }
 }