Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14051#discussion_r69655115
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
---
@@ -537,7 +537,7 @@ class RowMatrix @Since("1.0.0") (
def tallSkinnyQR(computeQ: Boolean = false): QRDecomposition[RowMatrix,
Matrix] = {
val col = numCols().toInt
// split rows horizontally into smaller matrices, and compute QR for
each of them
- val blockQRs = rows.glom().map { partRows =>
+ val blockQRs = rows.retag(classOf[Vector]).glom().map { partRows =>
--- End diff --
From my log, I can see that it arises at the `glom()` function. Just like
the `collect()`,1 they have a similar operation `iter: Iterator[T]) =>
iter.toArray`. So I think maybe here is the best place to call `retag`.
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