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https://issues.apache.org/jira/browse/BEAM-8112?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122662#comment-17122662
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Beam JIRA Bot commented on BEAM-8112:
-------------------------------------

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.


> Support passing stateBackend through pipeline options in python sdks
> --------------------------------------------------------------------
>
>                 Key: BEAM-8112
>                 URL: https://issues.apache.org/jira/browse/BEAM-8112
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-flink
>            Reporter: Catlyn Kong
>            Priority: P2
>              Labels: stale-P2
>
> Currently the only way for python sdks to instruct flink to use a 
> StateBackend different than the default (MemoryStateBackend) would be to 
> specify state.backend in flink-conf.yaml, which creates the limitation of 
> using the same statebackend for every job running on the same flink cluster. 
> Ideally we should be able to pass it in to flink runner through 
> PipelineOptions. Here's the error it spits out when I flag  
> --state_backend=RocksDBStateBackend:
>  
> {code:java}
> RuntimeError: Pipeline failed in state FAILED: 
> com.fasterxml.jackson.databind.exc.InvalidDefinitionException: Cannot 
> construct instance of `org.apache.flink.runtime.state.StateBackend` (no 
> Creators, like default construct, exist): abstract types either need to be 
> mapped to concrete types, have custom deserializer, or contain additional 
> type information
>  at [Source: (String)""RocksDBStateBackend""; line: 1, column: 1]
> {code}
> Acceptance Criteria:
> Flink StateBackend is configurable via command line options from python.
>  



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