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Posted to issues@flink.apache.org by "Konstantin Knauf (Jira)" <ji...@apache.org> on 2021/07/29 07:39:05 UTC
[jira] [Updated] (FLINK-12305) Table API Clarification
[ https://issues.apache.org/jira/browse/FLINK-12305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Konstantin Knauf updated FLINK-12305:
-------------------------------------
Labels: pull-request-available stale-assigned (was: auto-closed pull-request-available stale-assigned)
Priority: Not a Priority (was: Minor)
> Table API Clarification
> -----------------------
>
> Key: FLINK-12305
> URL: https://issues.apache.org/jira/browse/FLINK-12305
> Project: Flink
> Issue Type: Improvement
> Components: Documentation, Table SQL / API
> Affects Versions: 1.8.0
> Reporter: Alex Barnes
> Assignee: Fabian Hueske
> Priority: Not a Priority
> Labels: pull-request-available, stale-assigned
> Time Spent: 10m
> Remaining Estimate: 0h
>
> It is not clear from the documentation if late arriving data is correctly handled in the Flink Table/SQL APIs. The documentation makes passing reference to recognizing late arriving data, but does not go into depth as to what kind of triggering/processing can be performed on it
> [https://ci.apache.org/projects/flink/flink-docs-release-1.8/dev/table/streaming/time_attributes.html#event-time]
> This old email thread on the apache-flink-users mailing list tells a different story - specifically that late arriving data is not supported and DataStream APIs need to be used instead:
> [http://osdir.com/apache-flink-users/msg08110.html]
> Has support been added since that email correspondence? Please consider reducing ambiguity in the documentation and update it to better reflect the current/planned state of support for late arriving data in the Table API.
> Thanks,
> Alex
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