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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/09/15 13:24:00 UTC
[jira] [Commented] (SPARK-32889) orc table column name doesn't
support special characters.
[ https://issues.apache.org/jira/browse/SPARK-32889?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17196143#comment-17196143 ]
Apache Spark commented on SPARK-32889:
--------------------------------------
User 'jzc928' has created a pull request for this issue:
https://github.com/apache/spark/pull/29761
> 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
> 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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