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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/11/25 14:01:01 UTC
[jira] [Commented] (BEAM-851) Identify streaming pipelines
implicitly.
[ https://issues.apache.org/jira/browse/BEAM-851?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695932#comment-15695932 ]
ASF GitHub Bot commented on BEAM-851:
-------------------------------------
GitHub user iemejia opened a pull request:
https://github.com/apache/incubator-beam/pull/1436
[BEAM-851] Identify if pipeline is in streaming mode
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---
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/iemejia/incubator-beam BEAM-851-identify-streaming
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/1436.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1436
----
commit b209f5c735edd747a4bb2aeae4f550a94a369d59
Author: Ismaël Mejía <ie...@gmail.com>
Date: 2016-11-25T13:52:26Z
[BEAM-851] Remove option for streaming mode in PipelineOptions
Now an Evaluator (visitor) detects this
commit 2161ca4e6576c3703bd318b8d59c41f59b43422d
Author: Ismaël Mejía <ie...@gmail.com>
Date: 2016-11-25T13:54:28Z
[BEAM-851] Move spark version to 1.6.3
commit a64b28ee329d4314705ccee0e932402f90bb2740
Author: Ismaël Mejía <ie...@gmail.com>
Date: 2016-11-25T13:54:58Z
[BEAM-851] Remove warning, after change on spark's streaming context
commit 0783f4d0185fb63d486086bf095a888ddfb9cefd
Author: Ismaël Mejía <ie...@gmail.com>
Date: 2016-11-25T13:56:07Z
[BEAM-851] Remove grammar error (repeated for)
----
> Identify streaming pipelines implicitly.
> ----------------------------------------
>
> Key: BEAM-851
> URL: https://issues.apache.org/jira/browse/BEAM-851
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Amit Sela
> Assignee: Ismaël Mejía
>
> Instead of having the user explicilty set {{StreamingOptions.setStreaming(true)}} ,the SparkRunner could first traverse the Pipeline (or even better, just it's sources) to identify if at least one of the sources is an {{UnboundedSource}} (or equivalently if the root transformations are {{Read.Unbounded}}).
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