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https://issues.apache.org/jira/browse/FLINK-21341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-21341:
-----------------------------------
Labels: auto-deprioritized-major auto-unassigned stale-assigned (was:
auto-deprioritized-major auto-unassigned)
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> Update state reader to return InputFormat
> -----------------------------------------
>
> Key: FLINK-21341
> URL: https://issues.apache.org/jira/browse/FLINK-21341
> Project: Flink
> Issue Type: Improvement
> Components: API / State Processor
> Affects Versions: 1.13.0
> Reporter: Seth Wiesman
> Assignee: Jun Qin
> Priority: Minor
> Labels: auto-deprioritized-major, auto-unassigned, stale-assigned
>
> The state processor api on read currently takes an ExecutionEnvironment and
> returns a DataSet. As Flink now supports Bounded DataStream we want to
> support that as well but not have to maintain parallel apis. To that end we
> propose the following.
> Introduce a new `load` method to Savepoint.
>
> {code:java}
> SavepointReader Savepoint#load(String path, StateBackend backend);
> {code}
> SavepointReader will contain the same read methods as ExistingSavepoint but
> they will instead return InputFormat<T, ?>. This way the input format can be
> used with either DataSet, DataStream, or Table API.
>
> The reader methods in ExistingSavepoint should be deprecated.
>
> Additionally, OperatorStateInputFormat and KeyedStateInputFormat should both
> now extend ResultTypeQueryable so users get efficient serializer for their
> reads.
>
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