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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Work logged] (BEAM-4833) Add support for users specifying a requirements.txt for their Python portable container
Date Mon, 06 Aug 2018 03:34:00 GMT


ASF GitHub Bot logged work on BEAM-4833:

                Author: ASF GitHub Bot
            Created on: 06/Aug/18 03:33
            Start Date: 06/Aug/18 03:33
    Worklog Time Spent: 10m 
      Work Description: holdenk commented on a change in pull request #6005: [BEAM-4833] Add
support for user req.txt for portable python

 File path: sdks/python/scripts/
 @@ -0,0 +1,42 @@
+#    Licensed to the Apache Software Foundation (ASF) under one or more
+#    contributor license agreements.  See the NOTICE file distributed with
+#    this work for additional information regarding copyright ownership.
+#    The ASF licenses this file to You under the Apache License, Version 2.0
+#    (the "License"); you may not use this file except in compliance with
+#    the License.  You may obtain a copy of the License at
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS,
+#    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#    See the License for the specific language governing permissions and
+#    limitations under the License.
+# This script builds a Docker container with the user specified requirements on top of
+# an existing Python worker Docker container (either one you build from source as
+# described in or from a released Docker container).
 Review comment:
   Sure, good point.

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Issue Time Tracking

    Worklog Id:     (was: 131303)
    Time Spent: 2h 20m  (was: 2h 10m)

> Add support for users specifying a requirements.txt for their Python portable container
> ---------------------------------------------------------------------------------------
>                 Key: BEAM-4833
>                 URL:
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: holdenk
>            Assignee: holdenk
>            Priority: Minor
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
> It's pretty common that Python scripts require extra dependencies, even the tensorflow
model analysis TFMA example requires a different version of TF than the one we install by
default. While users can roll their own container or edit the Dockerfile, it would probably
be useful to provide an easier path to integrating their dependencies.
> While we support automatically installing the dependencies at runtime on the workers,
this can be very slow, especially for things like tensorflow, arrow, or other numeric heavy
> Another alternative could be a simple script to augment the existing base image.

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