add usage guide and examples for relational_fusion#43
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WalkthroughAdded Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Suggested labels
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Actionable comments posted: 1
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Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/usage/relational_fusion.md`:
- Around line 126-132: The fenced code block in docs/usage/relational_fusion.md
that contains the terminal output (the block starting with the three backticks
before "Left rows : 128") lacks a language identifier; update that block
delimiter from ``` to ```text so the output is rendered/accessed properly (e.g.,
change the opening fence for the "Left rows / Right rows / Join rows / Aggregate
/ ✓ Output matches regression baseline" snippet to ```text).
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Configuration used: Organization UI
Review profile: CHILL
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docs/usage/relational_fusion.md
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| ```bash | ||
| # build native modules (Linux / macOS / WSL2) | ||
| python scripts/setup_native.py |
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Could you please share the demo screenshot for the script
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The PR is in right direction, please reolve the above comments. |
yes working on them |
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Please remove this file from here
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i have linked the file as screeshot through relative link, you u want me to update to url.
i did with relative as it would be more safer and easier way
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I made the changes I wanted.
Removed demo script output image from documentation.
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Thanks for the PR! |
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I am little less satisfied with the overall PR that's why will be deducting 5 points for quality and extensive use of AI. |
Fixes #19
The document is located at docs/usage/relational_fusion.md and includes:
CLI Usage: Quick start commands for benchmarking and regression.
Python API Guide: Detailed explanation of the generate and solve functions.
Concrete Examples: Real input/output samples verified against the project's deterministic generators.
End-to-End Script: A runnable demo script that users can copy-paste to verify their local setup.
Algorithm Overview: A high-level explanation of the hash-join and aggregation strategy, including its SQL equivalent.
Native Backend Instructions: How to build and compare performance with the C++ implementation.
Summary by CodeRabbit