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https://issues.apache.org/jira/browse/SPARK-32889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-32889:
------------------------------------
Assignee: Apache Spark
> orc table column name doesn't support special characters.
> ---------------------------------------------------------
>
> Key: SPARK-32889
> URL: https://issues.apache.org/jira/browse/SPARK-32889
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: jason jin
> Assignee: Apache Spark
> Priority: Major
>
> when execute
> "CREATE TABLE tbl(`$` INT, b INT) using orc";
> error occurs like below. but in it's ok in hive.
> Column name "$" contains invalid character(s). Please use alias to rename
> it.;Column name "$" contains invalid character(s). Please use alias to rename
> it.;org.apache.spark.sql.AnalysisException: Column name "$" contains invalid
> character(s). Please use alias to rename it.; at
> org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$.checkFieldName(OrcFileFormat.scala:51)
> at
> org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$.$anonfun$checkFieldNames$1(OrcFileFormat.scala:59)
> at
> org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$.$anonfun$checkFieldNames$1$adapted(OrcFileFormat.scala:59)
> at
> scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) at
> scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38) at
> org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$.checkFieldNames(OrcFileFormat.scala:59)
> at
> org.apache.spark.sql.execution.command.DDLUtils$.$anonfun$checkDataColNames$1(ddl.scala:924)
> at
> org.apache.spark.sql.execution.command.DDLUtils$.$anonfun$checkDataColNames$1$adapted(ddl.scala:913)
> at scala.Option.foreach(Option.scala:407) at
> org.apache.spark.sql.execution.command.DDLUtils$.checkDataColNames(ddl.scala:913)
> at
> org.apache.spark.sql.execution.command.DDLUtils$.checkDataColNames(ddl.scala:908)
> at
> org.apache.spark.sql.execution.datasources.PreprocessTableCreation$$anonfun$apply$2.applyOrElse(rules.scala:231)
> at
> org.apache.spark.sql.execution.datasources.PreprocessTableCreation$$anonfun$apply$2.applyOrElse(rules.scala:80)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDown$2(AnalysisHelper.scala:108)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:73)
> 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:207)
> 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
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