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From "Maximilian Roos (JIRA)" <>
Subject [jira] [Commented] (BEAM-3106) Consider not pinning all python dependencies, or moving them to requirements.txt
Date Fri, 27 Oct 2017 17:14:00 GMT


Maximilian Roos commented on BEAM-3106:

Yes, those are good points, and this is a tough problem; particularly for Beam (or airflow)
which relies on a lot of relatively fast-moving dependencies. 

That said, the consensus in the python community seems to be that `requirements.txt` is the
place to put those pins, rather than ``, and that putting them in `` creates
more interference than clarity.

Pinning to major versions could be a reasonable compromise. Though as an example, `google-cloud-bigquery`
is pinned to a version 3 behind the latest, while it works (or at least I haven't had any
issues) with the latest.

Thanks Ahmet.

> Consider not pinning all python dependencies, or moving them to requirements.txt
> --------------------------------------------------------------------------------
>                 Key: BEAM-3106
>                 URL:
>             Project: Beam
>          Issue Type: Wish
>          Components: build-system
>    Affects Versions: 2.1.0
>         Environment: python
>            Reporter: Maximilian Roos
>            Assignee: Ahmet Altay
> Currently all python dependencies are [pinned or capped|]
> While there's a good argument for supplying a `requirements.txt` with well tested dependencies,
having them specified in `` forces them to an exact state on each install of Beam.
This makes using Beam in any environment with other libraries nigh on impossible. 
> This is particularly severe for the `gcp` dependencies, where we have libraries that
won't work with an older version (but Beam _does_ work with an newer version). We have to
do a bunch of gymnastics to get the correct versions installed because of this. Unfortunately,
airflow repeats this practice and conflicts on a number of dependencies, adding further complication
(but, again there is no real conflict).
> I haven't seen this practice outside of the Apache & Google ecosystem - for example
no libraries in numerical python do this. Here's a [discussion on SO|]

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