wForget commented on code in PR #1379:
URL: https://github.com/apache/datafusion-comet/pull/1379#discussion_r1956116723
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spark/src/main/scala/org/apache/comet/CometSparkSessionExtensions.scala:
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@@ -1354,9 +1354,14 @@ object CometSparkSessionExtensions extends Logging {
/** Calculates required memory overhead in MB per executor process for
Comet. */
def getCometMemoryOverheadInMiB(sparkConf: SparkConf): Long = {
- // `spark.executor.memory` default value is 1g
- val executorMemoryMiB = ConfigHelpers
- .byteFromString(sparkConf.get("spark.executor.memory", "1024MB"),
ByteUnit.MiB)
+ val executorMemoryMiB = if (cometUnifiedMemoryManagerEnabled(sparkConf)) {
Review Comment:
Unified memory pool is a greedy pool, I prefer to set `all executor off-heap
memory` to `comet overhead memory` which is datafusion memory pool limit size
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