[GitHub] [arrow] yugant-git opened a new issue, #37691: When using the `pa.compute.cast` function to cast a string representation of a timestamp to a timestamp data type with a specified unit (e.g., "ns"), the function does not raise an overflow exception when the input string represents a timestamp that is out of bounds.

["yugant-git (via GitHub)" <gi...@apache.org>]

yugant-git opened a new issue, #37691:
URL: https://github.com/apache/arrow/issues/37691

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   **Description:**
   
   When using the `pa.compute.cast` function to cast a string representation of a timestamp to a timestamp data type with a specified unit (e.g., "ns"), the function does not raise an overflow exception when the input string represents a timestamp that is out of bounds.
   
   **Steps to Reproduce:**
   
   ```python
   import pyarrow as pa
   result = pa.compute.cast("0001-01-01T00:00:00.0000000", pa.timestamp("ns"))
   print(result)
   ```
   
   Expected Behavior:
   
   I expect the pa.compute.cast function to raise an overflow exception when attempting to parse a timestamp that is out of bounds, indicating that the provided timestamp is invalid.
   
   Actual Behavior:
   
   The pa.compute.cast function does not raise an overflow exception and returns a TimestampScalar object with a value that appears to be incorrect: Timestamp('1754-08-30 22:43:41.128654848').
   
   Additional Information:
   
   Python version: 3.11.2
   pyarrow version: 13.0.0
   Operating System: Windows 11
   
   ### Component(s)
   
   Python


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[GitHub] [arrow] AlenkaF commented on issue #37691: [C++][Python] Converting string to timestamp silently overflows

["AlenkaF (via GitHub)" <gi...@apache.org>]

AlenkaF commented on issue #37691:
URL: https://github.com/apache/arrow/issues/37691#issuecomment-1717314168

   I get that using `pc.strptime` also:
   
   ```python
   >>> ts = "0001-01-01 00:00"
   >>> format = "%Y-%m-%d %I:%M"
   >>> pc.strptime(ts, format= format, unit='ns')
   <pyarrow.TimestampScalar: '1754-08-30T22:43:41.128654848'>
   ```


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