Ordering label join output writing from old to new for downstream sensing

[varant-zlai]

Summary

ensures that when the latest partition of labels is computes, longer windows are also filled on prior partitions.

Checklist

• Added Unit Tests
• Covered by existing CI
• Integration tested
• Documentation update

Summary by CodeRabbit

• Refactor
  • Updated the processing order of windowed outputs to ensure they are handled from largest to smallest window length, leading to more predictable and consistent results for end-users.

[coderabbitai]

Walkthrough

The update explicitly imports ordering implicits and modifies the iteration over computableWindowToOutputs in LabelJoinV2.scala to process entries in descending order of window length, ensuring that outputs are computed from the largest to the smallest window. No other logic or public interfaces are changed.

Changes

File(s)	Change Summary
spark/src/main/scala/ai/chronon/spark/batch/LabelJoinV2.scala	Added explicit import for ordering implicits; changed iteration to sort computableWindowToOutputs by window length descending before processing.

Sequence Diagram(s)

sequenceDiagram
    participant LabelJoinV2
    participant computableWindowToOutputs
    participant computeOutputForWindow

    LabelJoinV2->>computableWindowToOutputs: Convert map to Seq
    LabelJoinV2->>computableWindowToOutputs: Sort by window length (desc)
    loop For each (window, outputs) in sorted sequence
        LabelJoinV2->>computeOutputForWindow: Call with (window, outputs)
    end

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Possibly related PRs

• Simple LabelJoin flow #546: Introduced the LabelJoinV2 class and related infrastructure, which is directly impacted by the iteration order change in this PR.

Suggested reviewers

• nikhil-zlai
• tchow-zlai

Poem

Sorting windows, big to small,
Now the outputs heed the call.
With order clear, the code aligns,
No more chaos in the lines.
Implicit imports join the play—
LabelJoinV2 leads the way!
🪟✨

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Reviewing files that changed from the base of the PR and between eb60645 and 6346e35.

📒 Files selected for processing (1)

• spark/src/main/scala/ai/chronon/spark/batch/LabelJoinV2.scala (2 hunks)

⏰ Context from checks skipped due to timeout of 90000ms (15)

• GitHub Check: streaming_tests
• GitHub Check: groupby_tests
• GitHub Check: groupby_tests
• GitHub Check: analyzer_tests
• GitHub Check: analyzer_tests
• GitHub Check: streaming_tests
• GitHub Check: spark_tests
• GitHub Check: spark_tests
• GitHub Check: join_tests
• GitHub Check: join_tests
• GitHub Check: fetcher_tests
• GitHub Check: batch_tests
• GitHub Check: batch_tests
• GitHub Check: scala_compile_fmt_fix
• GitHub Check: fetcher_tests

🔇 Additional comments (2)

spark/src/main/scala/ai/chronon/spark/batch/LabelJoinV2.scala (2)

18-18: Import added for ordering operations.

Import enables the sorting functionality used in the iteration below.

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200-209: Good improvement: Processing windows in descending order.

The modification ensures deterministic processing from largest to smallest windows, which maintains proper order for downstream sensing.

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