trol endpoint, logging endpoint, etc.
>>
>> Where can I extract these parameters from? (In apache_beam Python code,
>> those can be extracted from StartWorker request parameters)
>>
>> Also, how spark executor can find the port that grpc server is running on?
>>
>
2019 at 5:45 PM
From: "Kyle Weaver"
To: dev
Subject: Re: Command for Beam worker on Spark cluster
> Where can I extract these parameters from?
These parameters should be passed automatically when the process is run (note the use of $* in the example scr
er is running on?
>
> *Sent:* Wednesday, November 06, 2019 at 5:07 PM
> *From:* "Kyle Weaver"
> *To:* dev
> *Subject:* Re: Command for Beam worker on Spark cluster
> In Docker mode, most everything's taken care of for you, but in process
> mode you have to do a l
find the port that grpc server is running on?
Sent: Wednesday, November 06, 2019 at 5:07 PM
From: "Kyle Weaver"
To: dev
Subject: Re: Command for Beam worker on Spark cluster
In Docker mode, most everything's taken care of for you, but in process mode you have to do a lot of setu
In Docker mode, most everything's taken care of for you, but in process
mode you have to do a lot of setup yourself. The command you're looking for
is `sdks/python/container/build/target/launcher/linux_amd64/boot`. You will
be required to have both that executable (which you can build from source
u
Hi all,
I am trying to run *Python* beam pipeline on a Spark cluster. Since workers are running on separate nodes, I am using "PROCESS" for "evironment_type" in pipeline options, but I couldn't find any documentation on what "command" I should pass to "environment_config" to run on the worker,
