[ 
https://issues.apache.org/jira/browse/FLINK-39839?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yuan Kui updated FLINK-39839:
-----------------------------
    Issue Type: New Feature  (was: Improvement)

> FLIP-580:AsyncTableFunction supports user-defined timeout handling logic
> ------------------------------------------------------------------------
>
>                 Key: FLINK-39839
>                 URL: https://issues.apache.org/jira/browse/FLINK-39839
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table SQL / Planner
>    Affects Versions: 2.4.0
>            Reporter: Yuan Kui
>            Priority: Major
>             Fix For: 2.4.0
>
>
> An increasing number of users are leveraging `{{{}AsyncTableFunction`{}}} to 
> invoke remote inference clusters. Such invocations are essentially remote 
> inference requests, which are far more prone to timeouts than regular I/O 
> operations. Users expect to be able to define custom handling logic when a 
> timeout occurs — for example, falling back to default data or accumulating 
> failure statistics — rather than having a `{{{}TimeoutException`{}}} thrown 
> directly and causing the entire job to fail.
> In the current codebase, `{{{}AsyncTableFunction`{}}} is ultimately invoked 
> by `{{{}AsyncWaitOperator`{}}}, which already defines its own timeout 
> handling logic. The goal of this proposal is therefore to connect the timeout 
> call chain from `{{{}AsyncWaitOperator`{}}} all the way down to 
> `{{{}AsyncTableFunction`{}}}. {color:#222233}The configured 
> timeout(`{color}table.exec.async-lookup.timeout{color:#222233}`) is the total 
> budget measured from the first asyncInvoke. When the async-lookup timer 
> expires, any pending delayed retry is cancelled and timeout(...) is invoked 
> exactly once. {color}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to