Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/19041#discussion_r165207476
--- Diff:
core/src/main/scala/org/apache/spark/storage/BlockManagerMasterEndpoint.scala
---
@@ -246,6 +251,38 @@ class BlockManagerMasterEndpoint(
blockManagerIdByExecutor.get(execId).foreach(removeBlockManager)
}
+ private def recoverLatestRDDBlock(
+ execId: String,
+ excludeExecutors: Seq[String],
+ context: RpcCallContext): Unit = {
+ logDebug(s"Replicating first cached block on $execId")
+ val excluded = excludeExecutors.flatMap(blockManagerIdByExecutor.get)
+ val response: Option[Future[Boolean]] = for {
+ blockManagerId <- blockManagerIdByExecutor.get(execId)
+ info <- blockManagerInfo.get(blockManagerId)
+ blocks = info.cachedBlocks.collect { case r: RDDBlockId => r }
+ // we assume blocks from the latest rdd are most relevant
--- End diff --
On first read I thought you were _only_ replicating the latest rdd. Maybe
expand this to
As a heuristic, prioritize replicating the latest rdd. If this succeeds,
CacheRecoveryManager will try to replicate the remaining rdds.
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