Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/22001#discussion_r209304798
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -929,6 +955,28 @@ class DAGScheduler(
// HadoopRDD whose underlying HDFS files have been deleted.
finalStage = createResultStage(finalRDD, func, partitions, jobId,
callSite)
} catch {
+ case e: Exception if e.getMessage ==
+
DAGScheduler.ERROR_MESSAGE_BARRIER_REQUIRE_MORE_SLOTS_THAN_CURRENT_TOTAL_NUMBER
=>
+ logWarning("The job requires to run a barrier stage that requires
more slots than the " +
+ "total number of slots in the cluster currently.")
+ jobIdToNumTasksCheckFailures.putIfAbsent(jobId, 0)
+ val numCheckFailures = jobIdToNumTasksCheckFailures.get(jobId) + 1
+ if (numCheckFailures <
DAGScheduler.DEFAULT_MAX_CONSECUTIVE_NUM_TASKS_CHECK_FAILURES) {
--- End diff --
Should make `DEFAULT_MAX_CONSECUTIVE_NUM_TASKS_CHECK_FAILURES` configurable
so users can specify unlimited retry if needed. Instead, we might want to fix
the timeout since it is only relevant to cost.
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