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  1. Spark
  2. SPARK-41279 Feature parity: DataFrame API in Spark Connect
  3. SPARK-41827

DataFrame.groupBy requires all cols be Column or str

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 3.4.0
    • 3.4.0
    • Connect
    • None

    Description

      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 302, in pyspark.sql.connect.dataframe.DataFrame.groupBy
      Failed example:
          df.groupBy(["name", df.age]).count().sort("name", "age").show()
      Exception raised:
          Traceback (most recent call last):
            File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run
              exec(compile(example.source, filename, "single",
            File "<doctest pyspark.sql.connect.dataframe.DataFrame.groupBy[4]>", line 1, in <module>
              df.groupBy(["name", df.age]).count().sort("name", "age").show()
            File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 251, in groupBy
              raise TypeError(
          TypeError: groupBy requires all cols be Column or str, but got list ['name', Column<'ColumnReference(age)'>]

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            podongfeng Ruifeng Zheng
            techaddict Sandeep Singh
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              Created:
              Updated:
              Resolved: