Oh, interesting. I didn’t know about that possibility, thanks — Alexey
> On 4 Dec 2023, at 18:14, Robert Bradshaw via user <user@beam.apache.org> > wrote: > > Note that this shouldn't be strictly necessary, e.g. for Python one can embed > the pipeline definition into the jar itself which is then just uploaded as an > "ordinary" flink executable jar to the Flink master: > https://github.com/apache/beam/blob/release-2.52.0/sdks/python/apache_beam/runners/portability/abstract_job_service.py#L301 > If Java doens't do this yet we should probably update it to do so. > > On Mon, Dec 4, 2023 at 7:10 AM Alexey Romanenko <aromanenko....@gmail.com > <mailto:aromanenko....@gmail.com>> wrote: >> There are two modes to run a job with FlinkRunner - Portable and Classic. If >> you run a job server in Portable mode then you meed to start a JobService, >> configured with your Flink cluster, and submit your job through this. If you >> run a job in Classical mode (only Java SDK pipeline) then you don’t need it. >> >> More information on this is here: >> Apache Flink Runner >> beam.apache.org >> <favicon.ico> >> <https://beam.apache.org/documentation/runners/flink/>Apache Flink Runner >> <https://beam.apache.org/documentation/runners/flink/> >> beam.apache.org <https://beam.apache.org/documentation/runners/flink/> >> <favicon.ico> <https://beam.apache.org/documentation/runners/flink/> >> >> — >> Alexey >> >> >>> On 4 Dec 2023, at 07:53, Поротиков Станислав Вячеславович via user >>> <user@beam.apache.org <mailto:user@beam.apache.org>> wrote: >>> >>> Hello! >>> I want to know which cases could lead me to use separate job server for >>> submutting jobs to Flink Cluster? >>> Which cases we don't need it at all? >>> >>> >>> Best regards, >>> Stanislav Porotikov >>
