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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