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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2019/11/13 03:13:00 UTC

[jira] [Created] (SPARK-29869) HiveMetastoreCatalog#convertToLogicalRelation throws AssertionError

Yuming Wang created SPARK-29869:
-----------------------------------

             Summary: HiveMetastoreCatalog#convertToLogicalRelation throws AssertionError
                 Key: SPARK-29869
                 URL: https://issues.apache.org/jira/browse/SPARK-29869
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Yuming Wang


{noformat}
scala> spark.table("table").show
java.lang.AssertionError: assertion failed
  at scala.Predef$.assert(Predef.scala:208)
  at org.apache.spark.sql.hive.HiveMetastoreCatalog.convertToLogicalRelation(HiveMetastoreCatalog.scala:261)
  at org.apache.spark.sql.hive.HiveMetastoreCatalog.convert(HiveMetastoreCatalog.scala:137)
  at org.apache.spark.sql.hive.RelationConversions$$anonfun$apply$4.applyOrElse(HiveStrategies.scala:220)
  at org.apache.spark.sql.hive.RelationConversions$$anonfun$apply$4.applyOrElse(HiveStrategies.scala:207)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDown$2(AnalysisHelper.scala:108)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDown$1(AnalysisHelper.scala:108)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDown(AnalysisHelper.scala:106)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDown$(AnalysisHelper.scala:104)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDown$4(AnalysisHelper.scala:113)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:376)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:214)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:374)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:327)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDown$1(AnalysisHelper.scala:113)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDown(AnalysisHelper.scala:106)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDown$(AnalysisHelper.scala:104)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators(AnalysisHelper.scala:73)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators$(AnalysisHelper.scala:72)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:29)
  at org.apache.spark.sql.hive.RelationConversions.apply(HiveStrategies.scala:207)
  at org.apache.spark.sql.hive.RelationConversions.apply(HiveStrategies.scala:191)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:130)
  at scala.collection.IndexedSeqOptimized.foldLeft(IndexedSeqOptimized.scala:60)
  at scala.collection.IndexedSeqOptimized.foldLeft$(IndexedSeqOptimized.scala:68)
  at scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:49)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:127)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:119)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:119)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:168)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:162)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:122)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:98)
  at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:98)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:146)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:145)
  at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:66)
  at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
  at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:63)
  at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:63)
  at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:55)
  at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:86)
  at org.apache.spark.sql.SparkSession.table(SparkSession.scala:585)
  at org.apache.spark.sql.SparkSession.table(SparkSession.scala:581)
  ... 47 elided
{noformat}


It works if we recreate the table. We should find the root cause and fix this issue or make error message more meaningful. 




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