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https://issues.apache.org/jira/browse/FLINK-39464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Timo Walther updated FLINK-39464:
---------------------------------
    Description: 
The state access part of FLIP-565 has not been implemented yet, so the release 
testing focuses around late data handling.

Testing instructions:
 * Create some append-only source (e.g. Kafka) with some out of order data and 
a watermark strategy that produces late data
 * Create a ProcessTableFunction ([from 
example|https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/functions/ptfs/#ordering-guarantees-and-late-events])
 and submit a Flink job with it
 * Case 1: Check whether that only ordered data enters the PTF and late data is 
dropped
 * Case 2: Check that late data is not dropped when the ORDER BY clause is 
omitted
 * Stop and restore both functions from a savepoint and check whether they are 
checkpoint correctly

> Release Testing Instructions: FLIP-565: Improve ProcessTableFunctions for 
> late data handling and state access
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-39464
>                 URL: https://issues.apache.org/jira/browse/FLINK-39464
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Tests
>    Affects Versions: 2.3.0
>            Reporter: Yuepeng Pan
>            Assignee: Timo Walther
>            Priority: Blocker
>              Labels: release-testing
>             Fix For: 2.3.0
>
>
> The state access part of FLIP-565 has not been implemented yet, so the 
> release testing focuses around late data handling.
> Testing instructions:
>  * Create some append-only source (e.g. Kafka) with some out of order data 
> and a watermark strategy that produces late data
>  * Create a ProcessTableFunction ([from 
> example|https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/functions/ptfs/#ordering-guarantees-and-late-events])
>  and submit a Flink job with it
>  * Case 1: Check whether that only ordered data enters the PTF and late data 
> is dropped
>  * Case 2: Check that late data is not dropped when the ORDER BY clause is 
> omitted
>  * Stop and restore both functions from a savepoint and check whether they 
> are checkpoint correctly



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