Github user dibbhatt commented on a diff in the pull request:
https://github.com/apache/spark/pull/6990#discussion_r33408637
--- 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 --
hi @squito, yes this explanation is correct. But in current behavior the
desired replication level '2' will not be maintained if Block failed in Local
but replicated anyway , as Block is now will be in one Node even though the
Replication factor is 2 .
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