Thanks! I opened https://github.com/apache/beam/issues/30978 . Feel free to
self-assign when you have time to work on it.
On Mon, Apr 15, 2024 at 1:43 PM Geddy Schellevis
wrote:
> The “custom_data” field didn’t work.
> I am Happy with helping with the implementation of this.
>
> Op ma 15 apr
The “custom_data” field didn’t work.
I am Happy with helping with the implementation of this.
Op ma 15 apr 2024 om 22:10 schreef Ahmet Altay via dev
> Is there an open github issue for this? Perhaps it would be a good project
> to implement in Python, using the java version as a
> reference
Is there an open github issue for this? Perhaps it would be a good project
to implement in Python, using the java version as a
reference implementation?
On Thu, Apr 11, 2024 at 12:04 PM Udi Meiri wrote:
> Hi,
>
> I believe this wasn't implemented for Python (only Java). You can try
> adding
Thank you Danny!
On Fri, Apr 5, 2024 at 3:20 AM Maciej Szwaja via dev
wrote:
> Hi,
>
> a nice round version number :)
>
> Cheers,
> Maciej
>
> On Thu, Apr 4, 2024 at 3:56 PM Danny McCormick via dev <
> dev@beam.apache.org> wrote:
>
>> Hey everyone,
>>
>> On top of running the current 2.55.1
Some initial thoughts:
Making schema inference handle generic classes would be a nice improvement
- users occasionally bump into this restriction, and there's no reason not
to improve it.
I would recommend using the new Java reflection APIs (i.e.
getRecordComponents) to directly infer the
Hi team,
I'd like to propose a new java sdk extension feature, which is adding
support for java record schema inference - see the design doc here:
https://docs.google.com/document/d/1zSQ9cnqtVM8ttJEuHBDE6hw4qjUuJy1dpZWB6IBTuOs/edit?usp=sharing
In short - adding this extension's jar to the
This is your daily summary of Beam's current high priority issues that may need
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Unassigned P1 Issues:
https://github.com/apache/beam/issues/30955 [Failing Test]: