jerrypeng commented on code in PR #42352:
URL: https://github.com/apache/spark/pull/42352#discussion_r1566255030
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core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala:
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@@ -96,6 +96,30 @@ import org.apache.spark.util.{Clock, SystemClock,
ThreadUtils, Utils}
* If an executor with caching data blocks has been idle for more than
this duration,
* the executor will be removed
*
+ * Dynamic resource allocation is also extended to work for structured
streaming use case.
+ * (micro-batch paradigm).
+ * For it to work we would still need the above configs + few additional
configs.
+ *
+ * For executor allocation, In traditional DRA target number of executors are
added based on the
Review Comment:
Why for batch queries does DRA only account for backlogged tasks per stage?
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