autophagy opened a new pull request, #28326:
URL: https://github.com/apache/flink/pull/28326

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   ## What is the purpose of the change
   
   This PR adds support for `Context`, `OnTimerContext`, `TimeContext`, timer 
registration and firing, watermark management, and `rowtime` support to the PTF 
Test Harness.
   
   When a PTF registers a timer, the timer is stored in the TimerManager and 
keyed by the partition row. When the user advances the watermark using
   either `setWatermark` or `setWatermarkForTable`, the manager then fires all 
pending timers below or equal to the watermark in a deterministic order.
   
   I moved per-invocation state stuff into an `InvocationContext` to make 
separation of concerns a little easier to follow.
   
   Rows emitted from onTimer firings get the `rowtime` column, and the PTF 
rejects at the point of registration if the user tries to register a timer with 
`PASS_COLUMNS_THROUGH`
   enabled (similar to live, per the `PROCESS_INVALID_PASS_THROUGH_TIMERS` test 
on live.)
   
   One open question I have is that there's an edge case where if a user's 
`onTimer` registers a new timer at or before the current watermark, it then 
fires, and then registers,
   then fires, etc. Should there be some sort of max depth check here? 
   
   
   ## Brief change log
   
   - Added support for `Context`, `OnTimerContext`, `TimeContext` in 
`ProcessTableFunctionTestHarness`
   - Added support for timer registration, watermark tracking and timer firing 
in `ProcessTableFunctionTestHarness`
   - Added an `InvocationContext` to capture per-invocation state to simplify 
the collector logic
   - Reworked derriving the output type from the system inference to account 
for `on_time` and `uid`
   - Fixed an issue in `createStateConverter` where the incorrect state 
converters were being used for Map/List state.
   
   
   ## Verifying this change
   
   
   This change added tests and can be verified as follows:
   
   - Added tests to `ProcessFunctionTestHarnessesTest` to cover timer firing, 
watermark advancement and context.
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (no)
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (no)
     - The serializers: (no)
     - The runtime per-record code paths (performance sensitive): (no)
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (no)
     - The S3 file system connector: (no)
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (yes)
     - If yes, how is the feature documented? (docs)
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   
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   2.1.156 (Claude Code)
   


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