[ 
https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=332879&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-332879
 ]

ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/Oct/19 20:52
            Start Date: 23/Oct/19 20:52
    Worklog Time Spent: 10m 
      Work Description: rohdesamuel commented on issue #9720: [BEAM-8335] Add 
initial modules for interactive streaming support
URL: https://github.com/apache/beam/pull/9720#issuecomment-545631086
 
 
   I discussed with Robert the necessity of the GRPC service. In it, we agreed 
that the easiest way to support an interactive streaming job is through an HTTP 
service. Unfortunately, using HTTP transcoding with GRPC requires having a copy 
certain protos in the repo to be used during proto compilation. Thus, I will 
make a separate HTTP server without using the GRPC service definition and 
remove all InteractiveService rpcs _except_ for the Events request.
 
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


Issue Time Tracking
-------------------

    Worklog Id:     (was: 332879)
    Time Spent: 11h  (was: 10h 50m)

> Add streaming support to Interactive Beam
> -----------------------------------------
>
>                 Key: BEAM-8335
>                 URL: https://issues.apache.org/jira/browse/BEAM-8335
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-py-interactive
>            Reporter: Sam Rohde
>            Assignee: Sam Rohde
>            Priority: Major
>          Time Spent: 11h
>  Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the 
> Interactive Beam experience. This will allow users to:
>  * Write and run a streaming job in IPython
>  * Automatically cache records from unbounded sources
>  * Add a replay experience that replays all cached records to simulate the 
> original pipeline execution
>  * Add controls to play/pause/stop/step individual elements from the cached 
> records
>  * Add ability to inspect/visualize unbounded PCollections



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to