You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/01/12 15:14:00 UTC

[jira] [Commented] (SPARK-41837) DataFrame.createDataFrame datatype conversion error

    [ https://issues.apache.org/jira/browse/SPARK-41837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17676072#comment-17676072 ] 

Apache Spark commented on SPARK-41837:
--------------------------------------

User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/39535

> DataFrame.createDataFrame datatype conversion error
> ---------------------------------------------------
>
>                 Key: SPARK-41837
>                 URL: https://issues.apache.org/jira/browse/SPARK-41837
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Sandeep Singh
>            Priority: Major
>
> {code:java}
> File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/functions.py", line 1594, in pyspark.sql.connect.functions.to_json
> Failed example:
>     df = spark.createDataFrame(data, ("key", "value"))
> 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.functions.to_json[3]>", line 1, in <module>
>         df = spark.createDataFrame(data, ("key", "value"))
>       File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/session.py", line 252, in createDataFrame
>         table = pa.Table.from_pandas(pdf)
>       File "pyarrow/table.pxi", line 3475, in pyarrow.lib.Table.from_pandas
>       File "/usr/local/lib/python3.10/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
>         arrays = [convert_column(c, f)
>       File "/usr/local/lib/python3.10/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
>         arrays = [convert_column(c, f)
>       File "/usr/local/lib/python3.10/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
>         raise e
>       File "/usr/local/lib/python3.10/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
>         result = pa.array(col, type=type_, from_pandas=True, safe=safe)
>       File "pyarrow/array.pxi", line 316, in pyarrow.lib.array
>       File "pyarrow/array.pxi", line 83, in pyarrow.lib._ndarray_to_array
>       File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
>     pyarrow.lib.ArrowInvalid: ("Could not convert 'Alice' with type str: tried to convert to int64", 'Conversion failed for column 1 with type object'){code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org