Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/10240#discussion_r47267569
--- Diff:
core/src/main/scala/org/apache/spark/memory/ExecutionMemoryPool.scala ---
@@ -91,23 +108,34 @@ private[memory] class ExecutionMemoryPool(
val numActiveTasks = memoryForTask.keys.size
val curMem = memoryForTask(taskAttemptId)
- // How much we can grant this task; don't let it grow to more than 1
/ numActiveTasks;
- // don't let it be negative
- val maxToGrant =
- math.min(numBytes, math.max(0, (poolSize / numActiveTasks) -
curMem))
+ // In every iteration of this loop, we should first try to reclaim
any borrowed execution
+ // space from storage. This is necessary because of the potential
race condition where new
+ // storage blocks may steal the free execution memory that this task
was waiting for.
+ maybeGrowPool(numBytes - memoryFree)
+
+ // Maximum size the pool would have after potentially growing the
pool.
+ // This is used to compute the upper bound of how much memory each
task can occupy. This
+ // must take into account potential free memory as well as the
amount this pool currently
+ // occupies. Otherwise, we may run into SPARK-12155 where, in
unified memory management,
+ // we did not take into account space that could have been freed by
evicting cached blocks.
+ val maxPoolSize = computeMaxPoolSize()
+ val maxMemoryPerTask = maxPoolSize / numActiveTasks
+ val minMemoryPerTask = poolSize / (2 * numActiveTasks)
+
+ // How much we can grant this task; keep its share within 0 <= X <=
1 / numActiveTasks
+ val maxToGrant = math.min(numBytes, math.max(0, maxMemoryPerTask -
curMem))
// Only give it as much memory as is free, which might be none if it
reached 1 / numTasks
val toGrant = math.min(maxToGrant, memoryFree)
- if (curMem < poolSize / (2 * numActiveTasks)) {
+ if (curMem < minMemoryPerTask) {
--- End diff --
The current code is hard to understand, I can prove that it's the same with
mine one.
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