viirya commented on code in PR #1561:
URL: https://github.com/apache/datafusion-comet/pull/1561#discussion_r2008080558
##########
spark/src/main/scala/org/apache/comet/CometExecIterator.scala:
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@@ -63,9 +64,28 @@ class CometExecIterator(
}.toArray
private val plan = {
val conf = SparkEnv.get.conf
- // Only enable unified memory manager when off-heap mode is enabled.
Otherwise,
- // we'll use the built-in memory pool from DF, and initializes with
`memory_limit`
- // and `memory_fraction` below.
+
+ val offHeapMode = CometSparkSessionExtensions.isOffHeapEnabled(conf)
+ val memoryLimit = if (offHeapMode) {
+ // in unified mode we share off-heap memory with Spark
+ ByteUnit.MiB.toBytes(conf.getSizeAsMb("spark.memory.offHeap.size"))
Review Comment:
But honestly I'm not sure if it makes sense because the overall pool size is
not totally for Comet. It is not really fair to all tasks as it depends on
memory usage of Spark.
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