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use h3_compact_cells in functions query#172

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use h3_compact_cells in functions query#172
sleeping-h wants to merge 1 commit intomasterfrom
20771-analytics-panel-responds-up-to-14mins-on-prod

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@sleeping-h sleeping-h commented Feb 14, 2025

Summary by CodeRabbit

  • Refactor
    • Improved the aggregation logic to calculate averages with a default value when no data is present.
    • Streamlined spatial data processing for more consistent and accurate aggregation of regional metrics.
    • Simplified query generation to enhance overall data handling and output reliability.

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coderabbitai bot commented Feb 14, 2025

Walkthrough

The changes modify the SQL generation logic in the Java repository and adjust the SQL query structure in the accompanying resource file. In the FunctionsRepository class, the SQL query building now uses coalesce for average calculations instead of a series of left joins, simplifies the assembly using String.format, and adds a debug printout. The SQL query in function_intersect_v2.sql is revised by renaming one CTE and adding a new CTE that aggregates H3 values, while the join conditions are updated to focus solely on geometry intersections.

Changes

File Change Summary
src/main/java/io/.../FunctionsRepository.java Removed left joins to stat_h3_transposed; replaced logic with coalesce for averaging; eliminated joinSQL construction; added a debug statement to print the final query.
src/main/resources/sql.queries/.../function_intersect_v2.sql Renamed CTE hexes to hexes_8; commented out bounding box join condition, leaving only intersection checks; added a new CTE hexes using h3_compact_cells for aggregation.

Sequence Diagram(s)

sequenceDiagram
    participant Repo as FunctionsRepository
    participant DB as Database Engine
    Note over Repo: Build SQL query using updated logic
    Repo->>Repo: Construct query with coalesce and String.format
    Repo->>Console: Log the constructed query (debug print)
    Repo->>DB: Execute the SQL query
    DB-->>Repo: Return aggregated results
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sequenceDiagram
    participant Q as SQL Query Engine
    Note over Q: Processing in function_intersect_v2.sql
    Q->>Q: Execute CTE "hexes_8" (select distinct H3 from stat_h3_geom)
    Q->>Q: Apply h3_compact_cells to aggregate -> New CTE "hexes"
    Q->>Q: Join "stat_h3_transposed" with aggregated "hexes"
    Q-->>User: Return final result set
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Poem

I'm a rabbit in a digital glen, hopping through lines of code so fine,
Left joins skipped, now coalesce shines like a sign.
CTEs renamed, new paths are found,
Debug prints echo, a joyful sound.
With each SQL hop, my code garden grows—
A merry dance of data that forever flows!
🐇💕


📜 Recent review details

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📥 Commits

Reviewing files that changed from the base of the PR and between bb1eb7e and ba436f0.

📒 Files selected for processing (2)
  • src/main/java/io/kontur/insightsapi/repository/FunctionsRepository.java (1 hunks)
  • src/main/resources/sql.queries/function_intersect_v2.sql (1 hunks)

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