case class FinalStageConfigIsolation(session: SparkSession) extends Rule[SparkPlan] with Product with Serializable
This rule split stage into two parts:
- previous stage 2. final stage For final stage, we can inject extra config. It's useful if we use repartition to optimize small files that needs bigger shuffle partition size than previous.
Let's say we have a query with 3 stages, then the logical machine like:
Set/Reset Command -> cleanup previousStage config if user set the spark config. Query -> AQE -> stage1 -> preparation (use previousStage to overwrite spark config) -> AQE -> stage2 -> preparation (use spark config) -> AQE -> stage3 -> preparation (use finalStage config to overwrite spark config, store spark config to previousStage.)
An example of the new finalStage config:
spark.sql.adaptive.advisoryPartitionSizeInBytes ->
spark.sql.finalStage.adaptive.advisoryPartitionSizeInBytes
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