Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/17286#discussion_r106094103 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala --- @@ -19,31 +19,31 @@ package org.apache.spark.sql.catalyst.optimizer import scala.collection.mutable -import org.apache.spark.sql.catalyst.CatalystConf import org.apache.spark.sql.catalyst.expressions.{And, Attribute, AttributeSet, Expression, PredicateHelper} import org.apache.spark.sql.catalyst.plans.{Inner, InnerLike} import org.apache.spark.sql.catalyst.plans.logical.{BinaryNode, Join, LogicalPlan, Project} import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.internal.SQLConf /** * Cost-based join reorder. * We may have several join reorder algorithms in the future. This class is the entry of these * algorithms, and chooses which one to use. */ -case class CostBasedJoinReorder(conf: CatalystConf) extends Rule[LogicalPlan] with PredicateHelper { +case class CostBasedJoinReorder(conf: SQLConf) extends Rule[LogicalPlan] with PredicateHelper { def apply(plan: LogicalPlan): LogicalPlan = { if (!conf.cboEnabled || !conf.joinReorderEnabled) { plan } else { - val result = plan transform { + val result = plan transformDown { case p @ Project(projectList, j @ Join(_, _, _: InnerLike, _)) => --- End diff -- shall we also check if `projectList` are all attributes here?
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