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https://issues.apache.org/jira/browse/SPARK-45509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-45509.
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Resolution: Fixed
Resolving as Fixed: this change was merged to master. Implementing commit:
8c41629033508197b80f6a50c78fcf4d5f9752ff [SPARK-45509][SQL] Fix df column
reference behavior for Spark Connect. (Triaged as a stranded ticket — the fix
landed but the JIRA was left unresolved. Verified present on current master and
not reverted.)
> Investigate the behavior difference in self-join
> ------------------------------------------------
>
> Key: SPARK-45509
> URL: https://issues.apache.org/jira/browse/SPARK-45509
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, PySpark
> Affects Versions: 3.5.0, 4.0.0
> Reporter: Allison Wang
> Priority: Major
> Labels: pull-request-available
>
> SPARK-45220 discovers a behavior difference for a self-join scenario between
> classic Spark and Spark Connect.
> For instance, here is the query that works without Spark Connect:
> {code:java}
> df = spark.createDataFrame([Row(name="Alice", age=2), Row(name="Bob", age=5)])
> df2 = spark.createDataFrame([Row(name="Tom", height=80), Row(name="Bob",
> height=85)]){code}
> {code:java}
> joined = df.join(df2, df.name == df2.name, "outer").sort(sf.desc(df.name))
> joined.show(){code}
> But in Spark Connect, it throws this exception:
> {code:java}
> pyspark.errors.exceptions.connect.AnalysisException:
> [UNRESOLVED_COLUMN.WITH_SUGGESTION] A column, variable, or function parameter
> with name `name` cannot be resolved. Did you mean one of the following?
> [`name`, `name`, `age`, `height`].;
> 'Sort ['name DESC NULLS LAST], true
> +- Join FullOuter, (name#64 = name#78)
> :- LocalRelation [name#64, age#65L]
> +- LocalRelation [name#78, height#79L]
> {code}
>
> On the other hand, this query failed in classic Spark Connect:
> {code:java}
> df.join(df, df.name == df.name, "outer").select(df.name).show() {code}
> {code:java}
> pyspark.errors.exceptions.captured.AnalysisException: Column name#0 are
> ambiguous... {code}
>
> but this query works with Spark Connect.
> We need to investigate the behavior difference and fix it.
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