By default, it will use Docker. You can try to change the default
environment type using the option [1] but I'm not sure if other environment
types will work for Flink Java x-lang pipelines.

Thanks,
Cham

[1]
https://github.com/apache/beam/blob/b94cff209cc8d1ae61cc916ff6b0b68561dc34c8/sdks/java/core/src/main/java/org/apache/beam/sdk/options/PortablePipelineOptions.java#L52

On Fri, Oct 7, 2022 at 10:26 PM Xiao Ma <xia...@geotab.com> wrote:

> Thank you  very muchfor the reply and  explaination. For the Java beam
> sdk, can it start as a worker pool, like the Python worker pool with
> --worker_pool option? Or the Java sdk doesn't have the external environment
> type, it has to be as docker started?
>
> Thank you.
>
> Matk
>
> On Sat, Oct 8, 2022 at 12:08 AM Chamikara Jayalath via dev <
> dev@beam.apache.org> wrote:
>
>>
>>
>> On Fri, Oct 7, 2022 at 6:29 PM Xiao Ma <xia...@geotab.com> wrote:
>>
>>> Hello,
>>>
>>> I would like to run a pipeline with Java as the main language and python
>>> transformation embedded. The beam pipeline is running on the flink cluster.
>>> Currently, I can run it with a taskmanager + java worker pool and a python
>>> worker pool. Could I ask if there is a way to run the java code on the task
>>> manager directly and keep the python worker pool?
>>>
>>> Current: taskmanager + java worker pool + python worker pool
>>> Desired: taskmanager + python worker pool
>>>
>>
>> Generally this is not possible. If the transform has to be executed on
>> the SDK side, the runner usually sets up an environment (for example, a
>> Docker container) with the corresponding SDK and executes the bundles with
>> the transform using the Beam Fn API.  Runners can choose to override this
>> by executing the transform within the runner itself, but you'll have to
>> modify the Flink runner to do this.
>>
>> Thanks,
>> Cham
>>
>>
>>>
>>> Thank you very much.
>>>
>>> *Mark Ma*
>>>
>>> --
> Xiao Ma
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