wForget commented on code in PR #1561:
URL: https://github.com/apache/datafusion-comet/pull/1561#discussion_r2007025756
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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
Review Comment:
I noticed that not all memory allocations in Datafusion grow the
memory_pool, if we share all off-heap memory to native, will it cause out off
memory?
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