Hi Shannon,

Thanks for sharing the repo! I took a quick look and I have a concern with
the naming of the transforms.

Currently, Beam Java already have "Select" and "Join" transforms. However,
they work on schemas, a feature that is not yet implemented in Beam Python.
(See
https://github.com/apache/beam/tree/77b295b1c2b0a206099b8f50c4d3180c248e252c/sdks/java/core/src/main/java/org/apache/beam/sdk/schemas/transforms
)

To maintain consistency between SDKs, I think it is good to avoid having
two different transforms with the same name but different functions. So
maybe you can consider renaming the transforms or/and putting it in an
extension Python module, instead of the main ones?

Best,
Robin

On Mon, Jul 8, 2019 at 9:19 AM Shannon Duncan <[email protected]>
wrote:

> As a follow up. Here is the repo that contains the utilities for now.
> https://github.com/shadowcodex/apache-beam-utilities. Will put together a
> proper PR as code gets closer to production quality.
>
> - Shannon
>
> On Mon, Jul 8, 2019 at 9:20 AM Shannon Duncan <[email protected]>
> wrote:
>
>> Thanks Frederik,
>>
>> That's exactly where I was looking. I did get permission to open source
>> the utilities module. So I'm going to throw them up on my personal github
>> soon and share with the email group for a look over.
>>
>> I'm going to work on the utilities there because it's a quick dev
>> environment and then once they are ready for proper PR I'll begin working
>> them into the actual SDK for a PR.
>>
>> I also joined the slack #beam and #beam-python channels, I was unsure of
>> where most collaborators discussed items.
>>
>> - Shannon
>>
>> On Mon, Jul 8, 2019 at 9:09 AM Frederik Bode <[email protected]>
>> wrote:
>>
>>> Hi Shannon,
>>>
>>> This is probably a good starting point:
>>> https://github.com/apache/beam/blob/2d5e493abf39ee6fc89831bb0b7ec9fee592b9c5/sdks/python/apache_beam/transforms/combiners.py#L68
>>> .
>>>
>>> Frederik
>>>
>>> [image: https://ml6.eu]
>>> <https://urldefense.proofpoint.com/v2/url?u=https-3A__ml6.eu_&d=DwMFaQ&c=fP4tf--1dS0biCFlB0saz0I0kjO5v7-GLPtvShAo4cc&r=pVqtPRV3xHPbewK5Cnv1OugvWbha6Poxqp5n4ssIg74&m=FLed4d0BjB5-R2hz9IHrat47LfDj7YhMNHbEVeZ0dw8&s=yd_him24QhfROm7uRZLbfSsUHaA68_8FMl6s1MgT5sM&e=>
>>>
>>>
>>> * Frederik Bode*
>>>
>>> ML6 Ghent
>>> <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.google.be_maps_place_ML6_-4051.037408-2C3.7044893-2C17z_data-3D-213m1-214b1-214m5-213m4-211s0x47c37161feeca14b-3A0xb8f72585fdd21c90-218m2-213d51.037408-214d3.706678-3Fhl-3Dnl&d=DwMFaQ&c=fP4tf--1dS0biCFlB0saz0I0kjO5v7-GLPtvShAo4cc&r=pVqtPRV3xHPbewK5Cnv1OugvWbha6Poxqp5n4ssIg74&m=FLed4d0BjB5-R2hz9IHrat47LfDj7YhMNHbEVeZ0dw8&s=26TZxPGXg0A_mqgeiw1lMeZYekpkExBAZ5MpavpUZmw&e=>
>>> +32 4 92 78 96 18
>>>
>>>
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>>> On Mon, 8 Jul 2019 at 15:40, Shannon Duncan <[email protected]>
>>> wrote:
>>>
>>>> I'm sure I could use some of the existing aggregations as a guide on
>>>> how to make aggregations to fill the gap of missing ones. Such as creating
>>>> Sum/Max/Min.
>>>>
>>>> GroupBy is really already handled with GroupByKey and CoGroupByKey
>>>> unless you are thinking of a different type of GroupBy?
>>>>
>>>> - Shannon
>>>>
>>>> On Sun, Jul 7, 2019 at 10:47 PM Rui Wang <[email protected]> wrote:
>>>>
>>>>> Maybe also adding Aggregation/GroupBy as utilities?
>>>>>
>>>>>
>>>>> -Rui
>>>>>
>>>>> On Sun, Jul 7, 2019 at 1:46 PM Shannon Duncan <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> Thanks Valentyn,
>>>>>>
>>>>>> I'll outline the utilities and accept any suggestions to add /
>>>>>> modify. These are really just shortcut PTransforms that I am working on 
>>>>>> to
>>>>>> simplify creating pipelines.
>>>>>>
>>>>>> Currently the utilities contain the following PTransforms:
>>>>>>
>>>>>> - Inner Join
>>>>>> - Left Outer Join
>>>>>> - Right Outer Join
>>>>>> - Full Outer Join
>>>>>> - PrepareKey (For selecting items in a dictionary to act as a key for
>>>>>> the joins)
>>>>>> - Select (very simple filter that returns only items you want from
>>>>>> the dictionary) (allows for defining a default nullValue)
>>>>>>
>>>>>> Currently these operations only work with dictionaries, but I'd be
>>>>>> interested to see how it would work for <K,V> tuples.
>>>>>>
>>>>>> I'm new to python so they may not be optimized or the best way, but
>>>>>> from my understanding these seem to be the best way to do these types of
>>>>>> operations. Essentially I created a pipeline to be able to convert a 
>>>>>> simple
>>>>>> sql query into a flow of these utilities. Using prepareKey to define your
>>>>>> joining key, joining, and then selecting from the join allows you to do a
>>>>>> lot of powerful manipulation in a simple / familiar way.
>>>>>>
>>>>>> If this is something that we'd like to add to the Beam SDK I don't
>>>>>> mind looking at the contributor license agreement, and conversing more on
>>>>>> how to get them in.
>>>>>>
>>>>>> Thanks,
>>>>>> Shannon
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Wed, Jul 3, 2019 at 5:16 PM Valentyn Tymofieiev <
>>>>>> [email protected]> wrote:
>>>>>>
>>>>>>> Hi Shannon,
>>>>>>>
>>>>>>> Thanks for considering a contribution to Beam Python SDK. With a
>>>>>>> direct contribution to Beam SDK, your change will reach larger audience 
>>>>>>> of
>>>>>>> users, and you will not have to maintain a separate project and keep it 
>>>>>>> up
>>>>>>> to date with new releases of Beam.
>>>>>>>
>>>>>>> I encourage you to take a look at
>>>>>>> https://beam.apache.org/contribute/ for general advice on how to
>>>>>>> get started. To echo some points mentioned in the guide:
>>>>>>>
>>>>>>> - If your change is large or it is your first change, it is a good
>>>>>>> idea to discuss it on the dev@ mailing list
>>>>>>> - For large changes create a design doc (template, examples) and
>>>>>>> email it to the dev@ mailing list.
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Valentyn
>>>>>>>
>>>>>>> On Wed, Jul 3, 2019 at 3:04 PM Shannon Duncan <
>>>>>>> [email protected]> wrote:
>>>>>>>
>>>>>>>> I have been writing a bunch of utilities for the python SDK such as
>>>>>>>> joins, selections, composite transforms, etc...
>>>>>>>>
>>>>>>>> I am working with my company to see if I can open source the
>>>>>>>> utilities. Would it be best to post them on a separate PyPi project, 
>>>>>>>> or to
>>>>>>>> PR them into the beam SDK? I assume if they let me open source it they 
>>>>>>>> will
>>>>>>>> want some attribution or something like that.
>>>>>>>>
>>>>>>>> Thanks,
>>>>>>>> Shannon
>>>>>>>>
>>>>>>>

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