RexXiong commented on code in PR #3203:
URL: https://github.com/apache/celeborn/pull/3203#discussion_r2034350851
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client-spark/common/src/main/java/org/apache/spark/shuffle/celeborn/SortBasedPusher.java:
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@@ -518,4 +532,48 @@ public void close(boolean throwTaskKilledOnInterruption)
throws IOException {
public long getUsed() {
return super.getUsed();
}
+
+ //
+
+ /**
+ * Calculates max memory conf based on SparkConf settings. Follows logic in
Spark
+ * UnifiedMemoryManager.getMaxMemory:
+ *
github.com/apache/spark/blob/branch-3.3/core/src/main/scala/org/apache/spark/memory/UnifiedMemoryManager.scala#L213
+ */
+ public static CelebornConf setMemoryConfs(
+ SparkConf sparkConf, CelebornConf celebornConf, int cores, MemoryMode
memoryMode) {
+ try {
+ if (!celebornConf.clientPushSortCalculateMaxMemoryBytes()) {
+ return celebornConf;
+ }
+
+ // set max task memory conf based on Spark conf
+ if (celebornConf.clientPushSortMaxMemoryBytes() <= 0L) {
+ double memoryStorageFraction =
+ sparkConf.getDouble(package$.MODULE$.MEMORY_FRACTION().key(), 0.6);
Review Comment:
Can we get the values of maxOffHeapMemory/maxHeapMemory from the
MemoryManager through reflection?
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