[jira] [Updated] (SPARK-43513) withColumnRenamed duplicates columns if new column already exist

["Frederik Paradis (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-43513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frederik Paradis updated SPARK-43513:
-------------------------------------
    Summary: withColumnRenamed duplicates columns if new column already exist  (was: withColumnRenamed duplicate columns if new column already exist)

> withColumnRenamed duplicates columns if new column already exist
> ----------------------------------------------------------------
>
>                 Key: SPARK-43513
>                 URL: https://issues.apache.org/jira/browse/SPARK-43513
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.4.0
>            Reporter: Frederik Paradis
>            Priority: Major
>
> withColumnRenamed should either replace the column when new column already exists or should specify the specificity in the documentation. See the code below as an example of the current state.
> {code:python}
> from pyspark.sql import SparkSession
> spark = SparkSession.builder.master("local[1]").appName("local-spark-session").getOrCreate()
> df = spark.createDataFrame([(1, 0.5, 0.4), (2, 0.5, 0.8)], ["id", "score", "test_score"])
> r = df.withColumnRenamed("test_score", "score")
> print(r)  # DataFrame[id: bigint, score: double, score: double]
> # pyspark.sql.utils.AnalysisException: Reference 'score' is ambiguous, could be: score, score.
> print(r.select("score"))
> {code}



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