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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/01/09 15:18:00 UTC

[jira] [Work logged] (BEAM-9078) Large Tarball Artifacts Should Use GCS Resumable Upload

     [ https://issues.apache.org/jira/browse/BEAM-9078?focusedWorklogId=369097&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-369097 ]

ASF GitHub Bot logged work on BEAM-9078:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 09/Jan/20 15:17
            Start Date: 09/Jan/20 15:17
    Worklog Time Spent: 10m 
      Work Description: bradgwest commented on pull request #10544: [BEAM-9078] Pass total_size to storage.Upload
URL: https://github.com/apache/beam/pull/10544
 
 
   ## Goal
   
   It's possible for the tarball uploaded to GCS to be quite large. An example is a user vendoring multiple dependencies in their tarball so as to achieve a more stable deployable artifact.
   
   Before this change the GCS upload api call executed a multipart upload, which Google [documentation](https://cloud.google.com/storage/docs/json_api/v1/how-tos/upload) states should be used when the file is small enough to upload again when the connection fails. For large tarballs, we will hit 60 second socket timeouts before completing the multipart upload. By passing `total_size`, apitools first checks if the size exceeds the resumable upload threshold, and executes the more robust resumable upload rather than a multipart, avoiding
   socket timeouts.
   
   Post-Commit Tests Status (on master branch)
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   XLang | --- | --- | --- | [![Build Status](https://builds.apache.org/job/beam_PostCommit_XVR_Flink/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_XVR_Flink/lastCompletedBuild/) | --- | --- | ---
   
   Pre-Commit Tests Status (on master branch)
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   --- | --- | --- | --- | ---
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   @pabloem @charlesccychen 
   
 
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 369097)
    Remaining Estimate: 50m  (was: 1h)
            Time Spent: 10m

> Large Tarball Artifacts Should Use GCS Resumable Upload
> -------------------------------------------------------
>
>                 Key: BEAM-9078
>                 URL: https://issues.apache.org/jira/browse/BEAM-9078
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-dataflow
>    Affects Versions: 2.17.0
>            Reporter: Brad West
>            Priority: Major
>             Fix For: 2.19.0
>
>   Original Estimate: 1h
>          Time Spent: 10m
>  Remaining Estimate: 50m
>
> It's possible for the tarball uploaded to GCS to be quite large. An example is a user vendoring multiple dependencies in their tarball so as to achieve a more stable deployable artifact.
> Before this change the GCS upload api call executed a multipart upload, which Google [documentation]([https://cloud.google.com/storage/docs/json_api/v1/how-tos/upload)] states should be used when the file is small enough to upload again when the connection fails. For large tarballs, we will hit 60 second socket timeouts before completing the multipart upload. By passing `total_size`, apitools first checks if the size exceeds the resumable upload threshold, and executes the more robust resumable upload rather than a multipart, avoiding
>  socket timeouts.



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