Github user brad-kaiser commented on a diff in the pull request:
https://github.com/apache/spark/pull/19041#discussion_r174831270
--- 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 --
Hey @squito thanks again for the comments, sorry it took me a minute to get
back to you.
So, what you describe is basically what I'm doing. I start replicating the
latest block and work back to the earliest blocks. If there are any problems I
give up. I use the rdd block id as a proxy for the order in which blocks were
created.
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