matthiasgomolka opened a new issue, #44112: URL: https://github.com/apache/arrow/issues/44112
### Describe the bug, including details regarding any error messages, version, and platform. I've stumbled upon a weird issue, where I don't get the underlying isse. I read a parquet file which contains a timestamp column. This timestamp column contains the value `9999-12-23 23:59:59`. When I read this file using `pyarrow` (or with `pandas` and `pyarrow` engine an dtype_backend), the rows with `9999-12-23 23:59:59` show the value `1816-03-22 05:56:07.066277376`. I'm pretty certain that `9999-12-23 23:59:59` is the correct value, because this is much more plausible (and that's what `duckdb` and `Impala` say as well). When I write the respective row to parquet using `duckdb` and read this file using `pyarrow`, I get the correct value of `9999-12-23 23:59:59`. I've already checked if this is a problem with the parquet version, but both files are version `1.0`. What else might cause this? Unfortunately, I can't share the parquet file in question because it contains confidential data. ### Component(s) Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
