Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15915#discussion_r92740284
--- Diff:
core/src/main/scala/org/apache/spark/storage/memory/MemoryStore.scala ---
@@ -331,7 +331,15 @@ private[spark] class MemoryStore(
var unrollMemoryUsedByThisBlock = 0L
// Underlying buffer for unrolling the block
val redirectableStream = new RedirectableOutputStream
- val bbos = new
ChunkedByteBufferOutputStream(initialMemoryThreshold.toInt, allocator)
+ val chunkSize = if (initialMemoryThreshold > Int.MaxValue) {
+ logWarning(s"Initial memory threshold of
${Utils.bytesToString(initialMemoryThreshold)} " +
+ s"is too large to be set as chunk size. It is safe to be cap at
Int.MaxValue for chunk " +
+ s"size instead.")
+ Int.MaxValue
--- End diff --
Asking for `Int.MaxValue` causes `java.lang.OutOfMemoryError` on jenkins.
Although I think it is reasonable if it is on users side because they ask
so much memory by configuration.
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