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https://issues.apache.org/jira/browse/FLINK-37067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weijie Guo updated FLINK-37067:
-------------------------------
Description:
In Flink 2.0, we have introduce DataStream API V2. To verify this feature, you
should test four scenarios:
1. Write a stateful DataStream program, such as WordCount. Use ProcessFunction
to receive and process data, and use State to store the state. You can refer to
the documentation:
docs/content/docs/dev/datastream-v2/context_and_state_processing.md
2. Write a window aggregation job using the event time extension and verify it.
You can refer to the documentation:
Event Time
docs/content/docs/dev/datastream-v2/time-processing/event_timer_service.md
Examples listed in FLIP-499: Support Event Time in DataStream V2
Window
docs/content.zh/docs/dev/datastream-v2/builtin-funcs/windows.md
Examples listed in FLIP-501: Support Window in DataStream V2
3. Write a Join job using the BuiltinFuncs#join and verify it. You can refer to
the documentation:
docs/content/docs/dev/datastream-v2/builtin-funcs/joining.md
Examples listed in FLIP-500: Support Join in DataStream V2
4. Write a job define and using the Watermark and verify it. You can refer to
the documentation:
docs/content.zh/docs/dev/datastream-v2/watermark.md
Examples listed in FLIP-467: Introduce Generalized Watermarks
was:
This is for cross-team verification of the release 2.0 work item: “Introduce
DataStream API V2”
Please complete the following steps before Jan 31.
# Replace the description of the ticket with instructions for the testers.
** If the work item does not need cross-team verification, please comment that
explicitly and close the ticket.
# Un-assign yourself after adding the instructions.
# Either find a cross-team tester who is willing to help and assign to the
ticket, or reach out to the release manager [~xtsong].
Thanks for your contributions. For any questions, feel free to reach out to the
release manager [~xtsong].
> Cross-team verification for “Introduce DataStream API V2”
> ---------------------------------------------------------
>
> Key: FLINK-37067
> URL: https://issues.apache.org/jira/browse/FLINK-37067
> Project: Flink
> Issue Type: Sub-task
> Reporter: Xintong Song
> Assignee: xuhuang
> Priority: Blocker
> Fix For: 2.0.0
>
>
> In Flink 2.0, we have introduce DataStream API V2. To verify this feature,
> you should test four scenarios:
> 1. Write a stateful DataStream program, such as WordCount. Use
> ProcessFunction to receive and process data, and use State to store the
> state. You can refer to the documentation:
> docs/content/docs/dev/datastream-v2/context_and_state_processing.md
> 2. Write a window aggregation job using the event time extension and verify
> it. You can refer to the documentation:
> Event Time
> docs/content/docs/dev/datastream-v2/time-processing/event_timer_service.md
> Examples listed in FLIP-499: Support Event Time in DataStream V2
> Window
> docs/content.zh/docs/dev/datastream-v2/builtin-funcs/windows.md
> Examples listed in FLIP-501: Support Window in DataStream V2
> 3. Write a Join job using the BuiltinFuncs#join and verify it. You can refer
> to the documentation:
> docs/content/docs/dev/datastream-v2/builtin-funcs/joining.md
> Examples listed in FLIP-500: Support Join in DataStream V2
> 4. Write a job define and using the Watermark and verify it. You can refer to
> the documentation:
> docs/content.zh/docs/dev/datastream-v2/watermark.md
> Examples listed in FLIP-467: Introduce Generalized Watermarks
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