[jira] [Commented] (BEAM-9873) Removing Invalid JSON messages from PCollection before starting BigQueryIO Operations

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-9873?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17281212#comment-17281212 ] 

Beam JIRA Bot commented on BEAM-9873:
-------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> Removing Invalid JSON messages from PCollection before starting BigQueryIO Operations
> -------------------------------------------------------------------------------------
>
>                 Key: BEAM-9873
>                 URL: https://issues.apache.org/jira/browse/BEAM-9873
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-java-core
>            Reporter: Varun
>            Priority: P2
>              Labels: Clarified, features, stale-P2
>
> In a typical set up of Pub Sub and Cloud Dataflow, a pub sub subscriber might receive some messages that does not follow a valid json structure and the Big Query Insert operation fails to process these messages and the worker may gets terminated if the exception is not handled correctly.
> The likelihood of receiving the invalid json messages are very less and the upstream component pushing messages on the Topic should have a validation at their end but this is not always the case and the application should be robust enough to survive even if there are wrong messages being pushed by the Upstreams. 
> I have created an Enum which acts like a Predicate in Filter transform. This is very standard logic of validating Json and i would like to add this to the java SDK(and Python) in the Filter transform 



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