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ASF GitHub Bot logged work on BEAM-2572:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 31/Oct/19 19:47
            Start Date: 31/Oct/19 19:47
    Worklog Time Spent: 10m 
      Work Description: MattMorgis commented on pull request #9955: [BEAM-2572] 
Python SDK S3 Filesystem
URL: https://github.com/apache/beam/pull/9955
 
 
   Co-authored-by: Matthew Morgis <[email protected]>
   Co-authored-by: Tamera Lanham <[email protected]>
   
   This adds an AWS S3 file system implementation to the python SDK. 
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 337013)
    Remaining Estimate: 0h
            Time Spent: 10m

> Implement an S3 filesystem for Python SDK
> -----------------------------------------
>
>                 Key: BEAM-2572
>                 URL: https://issues.apache.org/jira/browse/BEAM-2572
>             Project: Beam
>          Issue Type: Task
>          Components: sdk-py-core
>            Reporter: Dmitry Demeshchuk
>            Priority: Minor
>              Labels: GSoC2019, gsoc, gsoc2019, mentor, outreachy19dec
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> There are two paths worth exploring, to my understanding:
> 1. Sticking to the HDFS-based approach (like it's done in Java).
> 2. Using boto/boto3 for accessing S3 through its common API endpoints.
> I personally prefer the second approach, for a few reasons:
> 1. In real life, HDFS and S3 have different consistency guarantees, therefore 
> their behaviors may contradict each other in some edge cases (say, we write 
> something to S3, but it's not immediately accessible for reading from another 
> end).
> 2. There are other AWS-based sources and sinks we may want to create in the 
> future: DynamoDB, Kinesis, SQS, etc.
> 3. boto3 already provides somewhat good logic for basic things like 
> reattempting.
> Whatever path we choose, there's another problem related to this: we 
> currently cannot pass any global settings (say, pipeline options, or just an 
> arbitrary kwarg) to a filesystem. Because of that, we'd have to setup the 
> runner nodes to have AWS keys set up in the environment, which is not trivial 
> to achieve and doesn't look too clean either (I'd rather see one single place 
> for configuring the runner options).
> Also, it's worth mentioning that I already have a janky S3 filesystem 
> implementation that only supports DirectRunner at the moment (because of the 
> previous paragraph). I'm perfectly fine finishing it myself, with some 
> guidance from the maintainers.
> Where should I move on from here, and whose input should I be looking for?
> Thanks!



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