Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/14210#discussion_r71657222 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala --- @@ -344,6 +344,11 @@ class SparkSqlAstBuilder(conf: SQLConf) extends AstBuilder { table, provider, partitionColumnNames, bucketSpec, mode, options, query) } else { val struct = Option(ctx.colTypeList()).map(createStructType) + if (struct.isEmpty && bucketSpec.nonEmpty) { --- End diff -- In that case, partition columns are inferred at runtime. Thus, although we ignore user specified partition columns, but we still treat the table as a partition table. Here, we will really ignore the bucket spec, because the bucket columns are not inferred at runtime. That means, we will not treat it as a bucket table. That is the major reason why this PR issues the exception. Let me know if Log message is still better here. Thanks!
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org