Michael Shtelma created SPARK-23799:
---------------------------------------
Summary: [CBO] FilterEstimation.evaluateInSet produces devision by
zero in a case of empty table with analyzed statistics
Key: SPARK-23799
URL: https://issues.apache.org/jira/browse/SPARK-23799
Project: Spark
Issue Type: Bug
Components: Optimizer
Affects Versions: 2.3.0, 2.2.1
Reporter: Michael Shtelma
FilterEstimation.evaluateInSet can perform devision by zero in a case of empty
table with analyzed statistics, which leads to the following exception:
java.lang.NumberFormatException
at java.math.BigDecimal.<init>(BigDecimal.java:494)
at java.math.BigDecimal.<init>(BigDecimal.java:824)
at scala.math.BigDecimal$.decimal(BigDecimal.scala:52)
at scala.math.BigDecimal$.decimal(BigDecimal.scala:55)
at scala.math.BigDecimal$.double2bigDecimal(BigDecimal.scala:343)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.FilterEstimation.estimate(FilterEstimation.scala:52)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visitFilter(BasicStatsPlanVisitor.scala:43)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visitFilter(BasicStatsPlanVisitor.scala:25)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlanVisitor$class.visit(LogicalPlanVisitor.scala:30)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visit(BasicStatsPlanVisitor.scala:25)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$$anonfun$stats$1.apply(LogicalPlanStats.scala:35)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$$anonfun$stats$1.apply(LogicalPlanStats.scala:33)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$class.stats(LogicalPlanStats.scala:33)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.stats(LogicalPlan.scala:30)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils$$anonfun$rowCountsExist$1.apply(EstimationUtils.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils$$anonfun$rowCountsExist$1.apply(EstimationUtils.scala:32)
at
scala.collection.IndexedSeqOptimized$class.prefixLengthImpl(IndexedSeqOptimized.scala:38)
at
scala.collection.IndexedSeqOptimized$class.forall(IndexedSeqOptimized.scala:43)
at scala.collection.mutable.WrappedArray.forall(WrappedArray.scala:35)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils$.rowCountsExist(EstimationUtils.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.ProjectEstimation$.estimate(ProjectEstimation.scala:27)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visitProject(BasicStatsPlanVisitor.scala:63)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visitProject(BasicStatsPlanVisitor.scala:25)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlanVisitor$class.visit(LogicalPlanVisitor.scala:37)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.BasicStatsPlanVisitor$.visit(BasicStatsPlanVisitor.scala:25)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$$anonfun$stats$1.apply(LogicalPlanStats.scala:35)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$$anonfun$stats$1.apply(LogicalPlanStats.scala:33)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.catalyst.plans.logical.statsEstimation.LogicalPlanStats$class.stats(LogicalPlanStats.scala:33)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.stats(LogicalPlan.scala:30)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$$anonfun$2.apply(CostBasedJoinReorder.scala:64)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$$anonfun$2.apply(CostBasedJoinReorder.scala:64)
at scala.collection.LinearSeqOptimized$class.forall(LinearSeqOptimized.scala:83)
at scala.collection.immutable.List.forall(List.scala:84)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$.org$apache$spark$sql$catalyst$optimizer$CostBasedJoinReorder$$reorder(CostBasedJoinReorder.scala:64)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$$anonfun$1.applyOrElse(CostBasedJoinReorder.scala:46)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$$anonfun$1.applyOrElse(CostBasedJoinReorder.scala:43)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$11.apply(TreeNode.scala:335)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:296)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:333)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$11.apply(TreeNode.scala:335)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:296)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:333)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$.apply(CostBasedJoinReorder.scala:43)
at
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder$.apply(CostBasedJoinReorder.scala:35)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)
at
scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)
at
scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)
at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)
at scala.collection.immutable.List.foreach(List.scala:392)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)
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