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https://issues.apache.org/jira/browse/FLINK-19830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Leonard Xu updated FLINK-19830:
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Description:
The exsiting TemporalProcessTimeJoinOperator has already supported temporal
table join.
However, the semantic of this implementation is problematic, because the join
processing for left stream doesn't wait for the complete snapshot of temporal
table, this may mislead users in production environment.
Under the processing time temporal join semantics, to get the complete snapshot
of temporal table may need introduce new mechanism in FLINK SQL in the future.
Why we didn't open the 开关
[1]
https://github.com/apache/flink/blob/4fe9f525a92319acc1e3434bebed601306f7a16f/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecTemporalJoin.java#L257
was:
The exsiting TemporalProcessTimeJoinOperator has already supported temporal
table join.
However, the semantic of this implementation is problematic, because the join
processing for left stream doesn't wait for the complete snapshot of temporal
table, this may mislead users in production environment.
Under the processing time temporal join semantics, to get the complete snapshot
of temporal table may need introduce new mechanism in FLINK SQL in the future.
> Properly implements processing-time temporal table join
> -------------------------------------------------------
>
> Key: FLINK-19830
> URL: https://issues.apache.org/jira/browse/FLINK-19830
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Runtime
> Reporter: Leonard Xu
> Priority: Major
> Fix For: 1.15.0
>
>
> The exsiting TemporalProcessTimeJoinOperator has already supported temporal
> table join.
> However, the semantic of this implementation is problematic, because the join
> processing for left stream doesn't wait for the complete snapshot of temporal
> table, this may mislead users in production environment.
> Under the processing time temporal join semantics, to get the complete
> snapshot of temporal table may need introduce new mechanism in FLINK SQL in
> the future.
> Why we didn't open the 开关
> [1]
> https://github.com/apache/flink/blob/4fe9f525a92319acc1e3434bebed601306f7a16f/flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecTemporalJoin.java#L257
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