Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/6990#discussion_r33809073
--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
---
@@ -833,8 +833,10 @@ private[spark] class BlockManager(
logDebug("Put block %s locally took %s".format(blockId,
Utils.getUsedTimeMs(startTimeMs)))
// Either we're storing bytes and we asynchronously started
replication, or we're storing
- // values and need to serialize and replicate them now:
- if (putLevel.replication > 1) {
+ // values and need to serialize and replicate them now.
+ // Should not replicate the block if its StorageLevel is
StorageLevel.NONE or
+ // putting it to local is failed.
+ if (!putBlockInfo.isFailed && putLevel.replication > 1) {
--- End diff --
@squito Your new idea also involves quite invasive changes, I am not sure
the use case is strong enough to warrant that. Here is a different idea. How
about doing the unrolling in the same fashion as the RDD cache? Unroll first
into an array, and then put it in the block manager or throw exception. How
about that?
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