You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Abhishek Madav (JIRA)" <ji...@apache.org> on 2018/07/19 21:40:00 UTC
[jira] [Updated] (SPARK-24864) Cannot resolve auto-generated column
ordinals in a hive view
[ https://issues.apache.org/jira/browse/SPARK-24864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Abhishek Madav updated SPARK-24864:
-----------------------------------
Summary: Cannot resolve auto-generated column ordinals in a hive view (was: Cannot reference auto-generated column ordinals in a hive view)
> Cannot resolve auto-generated column ordinals in a hive view
> ------------------------------------------------------------
>
> Key: SPARK-24864
> URL: https://issues.apache.org/jira/browse/SPARK-24864
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.1, 2.1.0
> Reporter: Abhishek Madav
> Priority: Major
> Fix For: 2.4.0
>
>
> Spark job reading from a hive-view fails with analysis exception when resolving column ordinals which are autogenerated.
> *Exception*:
> {code:java}
> scala> spark.sql("Select * from vsrc1new").show
> org.apache.spark.sql.AnalysisException: cannot resolve '`vsrc1new._c1`' given input columns: [id, upper(name)]; line 1 pos 24;
> 'Project [*]
> +- 'SubqueryAlias vsrc1new, `default`.`vsrc1new`
> +- 'Project [id#634, 'vsrc1new._c1 AS uname#633]
> +- SubqueryAlias vsrc1new
> +- Project [id#634, upper(name#635) AS upper(name)#636]
> +- MetastoreRelation default, src1
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:77)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:74)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:310)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:310)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:309)
> {code}
> Steps to reproduce:
> 1: Create a simple table, say src
> {code:java}
> CREATE TABLE `src1`(`id` int, `name` string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ','
> {code}
> 2: Create a view, say with name vsrc1new
> {code:java}
> CREATE VIEW vsrc1new AS SELECT id, `_c1` AS uname FROM (SELECT id, upper(name) FROM src1) vsrc1new;
> {code}
> 3. Selecting data from this view in hive-cli/beeline doesn't cause any error.
> 4. Creating a dataframe using:
> {code:java}
> spark.sql("Select * from vsrc1new").show //throws error
> {code}
> The auto-generated column names for the view are not resolved. Am I possibly missing some spark-sql configuration here? I tried the repro-case against spark 1.6 and that worked fine. Any inputs are appreciated.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org