On Mon, May 6, 2019 at 2:13 PM Lukasz Cwik <lc...@google.com> wrote:

> There were also discussions[1] in the past about scoping PipelineOptions
> to specific PTransforms. Would scoping PipelineOptions to PTransforms make
> this a more general solution?
>
> 1:
> https://lists.apache.org/thread.html/05f849d39788cb0af840cb9e86ca631586783947eb4e5a1774b647d1@%3Cdev.beam.apache.org%3E
>

Is this just for pipeline construction time or also for runtime ? Trying to
scope options for transforms at runtime might complicate things in the
presence of optimizations such as fusion.


>
> On Mon, May 6, 2019 at 12:02 PM Ankur Goenka <goe...@google.com> wrote:
>
>> Having namespaces for option makes sense.
>> I think, along with a help command to print all the options given the
>> runner name will be useful.
>> As for the scope of name spacing, I think that assigning a logical name
>> space gives more flexibility around how and where we declare options. It
>> also make future refactoring possible.
>>
>>
>> On Mon, May 6, 2019 at 7:50 AM Maximilian Michels <m...@apache.org> wrote:
>>
>>> Good points. As already mentioned there is no namespacing between the
>>> different pipeline option classes. In particular, there is no separate
>>> namespace for system and user options which is most concerning.
>>>
>>> I'm in favor of an optional namespace using the class name of the
>>> defining pipeline option class. That way we would at least be able to
>>> resolve duplicate option names. For example, if there were was "optionX"
>>> in class A and B, we could use "A#optionX" to refer to it from class A.
>>>
>>
I think this solves the original problem. Runner specific options will have
unique names that includes the runner (in options class). I guess to be
complete we also have to include the package (module for Python) ?
If an option is globally unique, users should be able to specify it without
qualifying (at least for backwards compatibility).


>
>>> -Max
>>>
>>> On 04.05.19 02:23, Reza Rokni wrote:
>>> > Great point Lukasz, worker machine could be relevant to multiple
>>> runners.
>>> >
>>> > Perhaps for parameters that could have multiple runner relevance, the
>>> > doc could be rephrased to reflect its potential multiple uses. For
>>> > example change the help information to start with a generic reference
>>> "
>>> > worker type on the runner" followed by runner specific behavior
>>> expected
>>> > for RunnerA, RunnerB etc...
>>> >
>>> > But I do worry that without prefix even generic options could cause
>>> > confusion. For example if the use of --network is substantially
>>> > different between runnerA vs runnerB then the user will only have this
>>> > information by reading the help. It will also mean that a pipeline
>>> which
>>> > is expected to work both on-premise on RunnerA and in the cloud on
>>> > RunnerB could fail because the format of the options to pass to
>>> > --network are different.
>>> >
>>> > Cheers
>>> >
>>> > Reza
>>> >
>>> > *From: *Kenneth Knowles <k...@apache.org <mailto:k...@apache.org>>
>>> > *Date: *Sat, 4 May 2019 at 03:54
>>> > *To: *dev
>>> >
>>> >     Even though they are in classes named for specific runners, they
>>> are
>>> >     not namespaced. All PipelineOptions exist in a global namespace so
>>> >     they need to be careful to be very precise.
>>> >
>>> >     It is a good point that even though they may be multiple uses for
>>> >     "machine type" they are probably not going to both happen at the
>>> >     same time.
>>> >
>>> >     If it becomes an issue, another thing we could do would be to add
>>> >     namespacing support so options have less spooky action, or at least
>>> >     have a way to resolve it when it happens on accident.
>>> >
>>> >     Kenn
>>> >
>>> >     On Fri, May 3, 2019 at 10:43 AM Chamikara Jayalath
>>> >     <chamik...@google.com <mailto:chamik...@google.com>> wrote:
>>> >
>>> >         Also, we do have runner specific options classes where truly
>>> >         runner specific options can go.
>>> >
>>> >
>>> https://github.com/apache/beam/blob/master/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/options/DataflowPipelineOptions.java
>>> >
>>> https://github.com/apache/beam/blob/master/runners/flink/src/main/java/org/apache/beam/runners/flink/FlinkPipelineOptions.java
>>> >
>>> >         On Fri, May 3, 2019 at 9:50 AM Ahmet Altay <al...@google.com
>>> >         <mailto:al...@google.com>> wrote:
>>> >
>>> >             I agree, that is a good point.
>>> >
>>> >             *From: *Lukasz Cwik <lc...@google.com <mailto:
>>> lc...@google.com>>
>>> >             *Date: *Fri, May 3, 2019 at 9:37 AM
>>> >             *To: *dev
>>> >
>>> >                 The concept of a machine type isn't necessarily limited
>>> >                 to Dataflow. If it made sense for a runner, they could
>>> >                 use AWS/Azure machine types as well.
>>> >
>>> >                 On Fri, May 3, 2019 at 9:32 AM Ahmet Altay
>>> >                 <al...@google.com <mailto:al...@google.com>> wrote:
>>> >
>>> >                     This idea was discussed in a PR a few months ago,
>>> >                     and JIRA was filed as a follow up [1]. IMO, it
>>> makes
>>> >                     sense to use a namespace prefix. The primary issue
>>> >                     here is that, such a change will very likely be a
>>> >                     backward incompatible change and would be hard to
>>> do
>>> >                     before the next major version.
>>> >
>>> >                     [1]
>>> https://issues.apache.org/jira/browse/BEAM-6531
>>> >
>>> >                     *From: *Reza Rokni <r...@google.com
>>> >                     <mailto:r...@google.com>>
>>> >                     *Date: *Thu, May 2, 2019 at 8:00 PM
>>> >                     *To: * <dev@beam.apache.org
>>> >                     <mailto:dev@beam.apache.org>>
>>> >
>>> >                         Hi,
>>> >
>>> >                         Was reading this SO question:
>>> >
>>> >
>>> https://stackoverflow.com/questions/53833171/googlecloudoptions-doesnt-have-all-options-that-pipeline-options-has
>>> >
>>> >                         And noticed that in
>>> >
>>> >
>>> https://beam.apache.org/releases/pydoc/2.12.0/_modules/apache_beam/options/pipeline_options.html#WorkerOptions
>>> >
>>> >                         The option is called --worker_machine_type.
>>> >
>>> >                         I wonder if runner specific options should have
>>> >                         the runner in the prefix? Something like
>>> >                         --dataflow_worker_machine_type?
>>> >
>>> >                         Cheers
>>> >                         Reza
>>> >
>>> >                         --
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>>> > The above terms reflect a potential business arrangement, are provided
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>>>
>>

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