uncleGen opened a new pull request #26343: [SPARK-29683][YARN] Job will fail due to executor failures all available nodes are blacklisted URL: https://github.com/apache/spark/pull/26343 ### What changes were proposed in this pull request? - Check the nodes in `spark.yarn.exclude.nodes` if exists in Yarn cluster. - Loosen condition of checking if all node blacklisted: give a waiting time before job failed. ### Why are the changes needed? My streaming job will fail due to executor failures all available nodes are blacklisted. This exception is thrown only when all node is blacklisted: ``` def isAllNodeBlacklisted: Boolean = currentBlacklistedYarnNodes.size >= numClusterNodes val allBlacklistedNodes = excludeNodes ++ schedulerBlacklist ++ allocatorBlacklist.keySet ``` After diving into the code, I found some critical conditions not be handle properly: - unchecked `excludeNodes`: it comes from user config. If not set properly, it may lead to "currentBlacklistedYarnNodes.size >= numClusterNodes". For example, we may set some nodes not in Yarn cluster. ``` excludeNodes = (invalid1, invalid2, invalid3) clusterNodes = (valid1, valid2) ``` - `numClusterNodes` may equals 0: When HA Yarn failover, it will take some time for all NodeManagers to register ResourceManager again. In this case, `numClusterNode` may equals 0 or some other number, and Spark driver failed. - too strong condition check: Spark driver will fail as long as "currentBlacklistedYarnNodes.size >= numClusterNodes". This condition should not indicate a unrecovered fatal. For example, there are some NodeManagers restarting. So we can give some waiting time before job failed. ### Does this PR introduce any user-facing change? No ### How was this patch tested? - Add new UT and update current UTs. - manual test
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