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https://issues.apache.org/jira/browse/SPARK-41498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fredrik Klauß updated SPARK-41498:
----------------------------------
Description:
Currently, the Union operator does not propagate any metadata output. This
makes it impossible to access any metadata if a Union operator is used, even
though the children have the exact same metadata output.
Example:
{code:java}
val df1 = spark.read.load(path1)
val df2 = spark.read.load(path2)
df1.union(df2).select("_metadata.file_path"). // <-- fails{code}
was:
Currently, the Union operator does not propagate any metadata output. This
makes it impossible to access any metadata if a Union operator is used, even
though the children have the exact same metadata output.
Example:
```
val df1 = spark.read.load(path1)
val df2 = spark.read.load(path2)
df1.union(df2).select("_metadata.file_path"). // <-- fails
```
> Union does not propagate Metadata output
> ----------------------------------------
>
> Key: SPARK-41498
> URL: https://issues.apache.org/jira/browse/SPARK-41498
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.2, 3.2.0, 3.1.3, 3.2.1, 3.3.0, 3.2.2, 3.3.1
> Reporter: Fredrik Klauß
> Priority: Major
>
> Currently, the Union operator does not propagate any metadata output. This
> makes it impossible to access any metadata if a Union operator is used, even
> though the children have the exact same metadata output.
> Example:
>
> {code:java}
> val df1 = spark.read.load(path1)
> val df2 = spark.read.load(path2)
> df1.union(df2).select("_metadata.file_path"). // <-- fails{code}
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