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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2025/12/12 01:30:00 UTC

[jira] [Created] (SPARK-54691) DataFrame Column Resolution conflicts with delta

Ruifeng Zheng created SPARK-54691:
-------------------------------------

             Summary: DataFrame Column Resolution conflicts with delta
                 Key: SPARK-54691
                 URL: https://issues.apache.org/jira/browse/SPARK-54691
             Project: Spark
          Issue Type: Bug
          Components: Connect, SQL
    Affects Versions: 4.1.0, 4.2.0
            Reporter: Ruifeng Zheng


some delta queries fail with 4.1+

```
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
```

 

It seems due to the lazy dataframe column resolution conflicts with delta rules and cause rule order dependency issue.



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