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https://issues.apache.org/jira/browse/SPARK-54730?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-54730.
-----------------------------------
Fix Version/s: 4.2.0
4.1.1
Resolution: Fixed
Issue resolved by pull request 53503
[https://github.com/apache/spark/pull/53503]
> DataFrame Column Resolution conflicts with delta
> ------------------------------------------------
>
> Key: SPARK-54730
> URL: https://issues.apache.org/jira/browse/SPARK-54730
> Project: Spark
> Issue Type: Bug
> Components: Connect, SQL
> Affects Versions: 4.1.0, 4.2.0
> Reporter: Ruifeng Zheng
> Assignee: Ruifeng Zheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.2.0, 4.1.1
>
>
> some delta queries fail with 4.1+
> {code:java}
> df = spark.read.option("readChangeFeed", True).option("startingVersion",
> 0).table("sample_table")
>
> df.select('_commit_version').show() <- expected output
>
> df.select(df._commit_version).show() <- fail with
> [CANNOT_RESOLVE_DATAFRAME_COLUMN] Cannot resolve dataframe column
> "_commit_version". It's probably because of illegal references like
> `df1.select(df2.col("a"))`. SQLSTATE: 42704{code}
>
> It seems due to the lazy dataframe column resolution conflicts with delta
> rules and cause rule order dependency issue.
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