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Gary Scott commented on SPARK-28990: ------------------------------------ [~fengchaoge] [~stephenwoo] [~xiaozhang] - I have the same issue, can you please advise on when this will be resolved? > SparkSQL invalid call to toAttribute on unresolved object, tree: * > ------------------------------------------------------------------ > > Key: SPARK-28990 > URL: https://issues.apache.org/jira/browse/SPARK-28990 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.4.3 > Reporter: fengchaoge > Priority: Major > > SparkSQL create table as select from one table which may not exists throw > exceptions like: > {code} > org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to > toAttribute on unresolved object, tree: > {code} > This is not friendly, spark user may have no idea about what's wrong. > Simple sql can reproduce it,like this: > {code} > spark-sql (default)> create table default.spark as select * from default.dual; > {code} > {code} > 2019-09-05 16:27:24,127 INFO (main) [Logging.scala:logInfo(54)] - Parsing > command: create table default.spark as select * from default.dual > 2019-09-05 16:27:24,772 ERROR (main) [Logging.scala:logError(91)] - Failed in > [create table default.spark as select * from default.dual] > org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to > toAttribute on unresolved object, tree: * > at > org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:245) > at > org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52) > at > org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52) > 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.plans.logical.Project.output(basicLogicalOperators.scala:52) > at > org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:160) > at > org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:148) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:107) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:106) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsDown(AnalysisHelper.scala:106) > at > org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperators(AnalysisHelper.scala:73) > at > org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:29) > at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:148) > at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:147) > 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.ArrayBuffer.foldLeft(ArrayBuffer.scala:48) > 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$1.apply(RuleExecutor.scala:76) > at scala.collection.immutable.List.foreach(List.scala:392) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:127) > at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:121) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:106) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105) > at > org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105) > at > org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57) > at > org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:78) > at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:70) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371) > at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) > at > org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849) > at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167) > at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195) > at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86) > at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org