You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2026/02/13 02:25:00 UTC

[jira] [Updated] (SPARK-55492) SparkException from org.apache.spark.sql.catalyst.trees.TreeNode

     [ https://issues.apache.org/jira/browse/SPARK-55492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-55492:
-----------------------------------
    Labels: pull-request-available  (was: )

> SparkException from org.apache.spark.sql.catalyst.trees.TreeNode
> ----------------------------------------------------------------
>
>                 Key: SPARK-55492
>                 URL: https://issues.apache.org/jira/browse/SPARK-55492
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 4.2.0
>            Reporter: Dmytro Fedoriaka
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 4.2.0
>
>
> The query:
>  
> {code:java}
> val df = Seq((1, ("2024-01-01 10:00:00", "val1")))
>   .toDF("id", "data")
>   .select(
>     $"id", 
>     struct( to_timestamp($"data._1").as("timestamp"), $"data._2".as("value") ).as("nested_struct")
>   ) 
>   .select($"id", $"nested_struct".as("kolona")) 
> df.withWatermark("kolona.timestamp", "0 seconds")
> {code}
> Error:
>  
> {code:java}
> Failed to copy node.
> Is otherCopyArgs specified correctly for EventTimeWatermark.
> Exception message: argument type mismatch
> ...
> at org.apache.spark.sql.catalyst.trees.TreeNode.makeCopy(TreeNode.scala:941)
> ...{code}
>  
> The problem is that we are trying to resolve reference for nested field, and nested field is not expected as eventTime column for withWatermark. The solution is to add a validation that forbids using nested fields in withWatermark.
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org