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https://issues.apache.org/jira/browse/SPARK-41812?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17691287#comment-17691287
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Apache Spark commented on SPARK-41812:
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User 'grundprinzip' has created a pull request for this issue:
https://github.com/apache/spark/pull/40094
> DataFrame.join: ambiguous column
> --------------------------------
>
> Key: SPARK-41812
> URL: https://issues.apache.org/jira/browse/SPARK-41812
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Hyukjin Kwon
> Assignee: Ruifeng Zheng
> Priority: Major
> Fix For: 3.4.0
>
>
> {code}
> File "/.../spark/python/pyspark/sql/connect/column.py", line 106, in
> pyspark.sql.connect.column.Column.eqNullSafe
> Failed example:
> df1.join(df2, df1["value"] == df2["value"]).count()
> Exception raised:
> Traceback (most recent call last):
> File "/.../miniconda3/envs/python3.9/lib/python3.9/doctest.py", line
> 1336, in __run
> exec(compile(example.source, filename, "single",
> File "<doctest pyspark.sql.connect.column.Column.eqNullSafe[4]>", line
> 1, in <module>
> df1.join(df2, df1["value"] == df2["value"]).count()
> File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 151, in
> count
> pdd = self.agg(_invoke_function("count", lit(1))).toPandas()
> File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 1031,
> in toPandas
> return self._session.client.to_pandas(query)
> File "/.../spark/python/pyspark/sql/connect/client.py", line 413, in
> to_pandas
> return self._execute_and_fetch(req)
> File "/.../spark/python/pyspark/sql/connect/client.py", line 573, in
> _execute_and_fetch
> self._handle_error(rpc_error)
> File "/.../spark/python/pyspark/sql/connect/client.py", line 619, in
> _handle_error
> raise SparkConnectAnalysisException(
> pyspark.sql.connect.client.SparkConnectAnalysisException:
> [AMBIGUOUS_REFERENCE] Reference `value` is ambiguous, could be: [`value`,
> `value`].
> {code}
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