Major Description
Consider a Hive view in which some columns are not explicitly named
CREATE VIEW test_view AS SELECT 1 FROM some_table
Reading this view in Spark leads to an AnalysisException
org.apache.spark.sql.AnalysisException: cannot resolve '`_c0`' given input columns: [1] at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$$nestedInanonfun$checkAnalysis$1$2.applyOrElse(CheckAnalysis.scala:188) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$$nestedInanonfun$checkAnalysis$1$2.applyOrElse(CheckAnalysis.scala:185) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUp$2(TreeNode.scala:340) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:340) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUp$1(TreeNode.scala:337) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:406) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:242) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:404) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:357) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:337) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUp$1(TreeNode.scala:337) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:406) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:242) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:404) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:357) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:337) at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$transformExpressionsUp$1(QueryPlan.scala:104) at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$mapExpressions$1(QueryPlan.scala:116) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72) at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:116) at org.apache.spark.sql.catalyst.plans.QueryPlan.recursiveTransform$1(QueryPlan.scala:127) at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$mapExpressions$3(QueryPlan.scala:132) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.catalyst.plans.QueryPlan.recursiveTransform$1(QueryPlan.scala:132) at org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$mapExpressions$4(QueryPlan.scala:137) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:242) at org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:137) at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:104) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1(CheckAnalysis.scala:185) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1$adapted(CheckAnalysis.scala:94) at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:182) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:94) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:91) at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:155) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveViews(Analyzer.scala:1147) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveViews(Analyzer.scala:1151) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$10.$anonfun$applyOrElse$82(Analyzer.scala:1207) at scala.Option.map(Option.scala:230) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$10.applyOrElse(Analyzer.scala:1207) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$10.applyOrElse(Analyzer.scala:1155) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$3(AnalysisHelper.scala:90) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$1(AnalysisHelper.scala:90) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:221) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:86) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:84) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:1155) at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:1116) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:215) at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126) at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122) at scala.collection.immutable.List.foldLeft(List.scala:89) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:212) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:204) at scala.collection.immutable.List.foreach(List.scala:392) at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:204) at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:196) at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:190) at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:155) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:182) at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88) at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:182) at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:174) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:228) at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:173) at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:74) at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111) at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:144) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:771) at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:144) at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:74) at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:72) at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:64) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$1(Dataset.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:771) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:88) at org.apache.spark.sql.DataFrameReader.table(DataFrameReader.scala:918) at org.apache.spark.sql.SparkSession.table(SparkSession.scala:592) ... 47 elided
TRACE level log showing the query plan
21/09/30 10:17:17 TRACE PlanChangeLogger: === Result of Batch Cleanup === 'Project [upcast('_c0, IntegerType) AS _c0#3] 'Project [upcast('_c0, IntegerType) AS _c0#3] +- Project [1 AS 1#4] +- Project [1 AS 1#4] +- SubqueryAlias spark_catalog.default.some_table +- SubqueryAlias spark_catalog.default.some_table +- Relation default.some_table[id#1L] orc +- Relation default.some_table[id#1L] orc
