Thanks for pointing this out, Nicholas.
This SPIP seems focused on the Scala side, grouping the exception handling
and providing some guidance about error messages.
Yes, I think we can refer to it on the PySpark side. Probably I will follow
up and file some JIRAs based on how this SPIP gose, and run it separately.
BTW, it’s slightly different from SPARK-32194
<https://issues.apache.org/jira/browse/SPARK-32194> because this JIRA
targets to have a set of proper classes instead of, for example, just plain
Exception.


2020년 10월 26일 (월) 오전 10:36, Nicholas Chammas <nicholas.cham...@gmail.com>님이
작성:

> Just want to call out that this SPIP should probably account somehow for
> PySpark and the work being done in SPARK-32082
> <https://issues.apache.org/jira/browse/SPARK-32082> to improve PySpark
> exceptions.
>
> On Sun, Oct 25, 2020 at 8:05 PM Xinyi Yu <xyy...@gmail.com> wrote:
>
>> Hi all,
>>
>> We like to post a SPIP of Standardize Exception Messages in Spark. Here is
>> the document link:
>>
>> https://docs.google.com/document/d/1XGj1o3xAFh8BA7RCn3DtwIPC6--hIFOaNUNSlpaOIZs/edit?usp=sharing
>> <
>> https://docs.google.com/document/d/1XGj1o3xAFh8BA7RCn3DtwIPC6--hIFOaNUNSlpaOIZs/edit?usp=sharing>
>>
>>
>> This SPIP aims to standardize the exception messages in Spark. It has
>> three
>> major focuses:
>> 1. Group exception messages in dedicated files for easy maintenance and
>> auditing.
>> 2. Establish an error message guideline for developers.
>> 3. Improve error message quality.
>>
>> Thanks for your time and patience. Looking forward to your feedback!
>>
>>
>>
>> --
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