dongjoon-hyun commented on a change in pull request #36011:
URL: https://github.com/apache/spark/pull/36011#discussion_r841176375
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/SparkSessionExtensions.scala
##########
@@ -294,4 +295,23 @@ class SparkSessionExtensions {
def injectTableFunction(functionDescription: TableFunctionDescription): Unit
= {
injectedTableFunctions += functionDescription
}
+
+ private[this] val runtimeOptimizerRules = mutable.Buffer.empty[RuleBuilder]
+
+ private[sql] def buildRuntimeOptimizerRules(session: SparkSession):
Seq[Rule[LogicalPlan]] = {
+ runtimeOptimizerRules.map(_.apply(session)).toSeq
+ }
+
+ /**
+ * Inject a runtime `Rule` builder into the [[SparkSession]].
+ * The injected rules will be executed after built-in
+ * [[org.apache.spark.sql.execution.adaptive.AQEOptimizer]] rules are
applied.
+ * A runtime optimizer rule is used to improve the quality of a logical plan
during execution
+ * which can leverage accurate statistics from shuffle.
+ *
+ * Note that, it does not work if adaptive query execution is disabled.
+ */
+ def injectRuntimeOptimizerRule(builder: RuleBuilder): Unit = {
+ runtimeOptimizerRules += builder
+ }
Review comment:
Shall we move these new additions somewhere around the exiting
`queryStagePrepRuleBuilders` and `buildQueryStagePrepRules`?
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