dwshmilyss opened a new issue, #6470: URL: https://github.com/apache/hudi/issues/6470
When i execute "spark.sql("show partitions dw_t1.group_140935236706481") " in spark-shell , i get error message below : ``` org.apache.spark.sql.AnalysisException: SHOW PARTITIONS is not allowed on group_140935236706481 since its partition metadata is not stored in the Hive metastore. To import this information into the metastore, run `msck repair table group_140935236706481` at org.apache.spark.sql.errors.QueryCompilationErrors$.actionNotAllowedOnTableSincePartitionMetadataNotStoredError(QueryCompilationErrors.scala:1817) at org.apache.spark.sql.execution.command.DDLUtils$.verifyPartitionProviderIsHive(ddl.scala:900) at org.apache.spark.sql.execution.command.ShowPartitionsCommand.run(tables.scala:964) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613) ``` Spark version : 3.2.2 Hudi version:0.11.1 Hive version:3.1.3 Please help me solve this problem. I really appreciate it!!! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@hudi.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org