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Add H3 spatial optimization and facet summaries#6

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rdhyee merged 4 commits intomainfrom
claude/fix-optimization-issues-Jm12u
Feb 11, 2026
Merged

Add H3 spatial optimization and facet summaries#6
rdhyee merged 4 commits intomainfrom
claude/fix-optimization-issues-Jm12u

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@rdhyee rdhyee commented Feb 11, 2026

Summary

Test plan

  • Run examples/basic/geoparquet.ipynb end-to-end — verify H3 benchmark and map render
  • Run examples/basic/isamples_explorer.ipynb — verify facet summaries load in <1s, context/object_type dropdowns appear
  • Run examples/basic/h3_clustering.ipynb — verify cluster map, multi-res table, drill-down output
  • Run examples/basic/pqg_demo.ipynb — verify wide format shortcut and timing comparison

Closes #2, closes #3, closes #4, closes #5

https://claude.ai/code/session_01ADUWKdT6dM7gqmauf6TqWB

- geoparquet.ipynb: Add H3-accelerated bbox filtering benchmark, H3 cell
  distribution stats, and Lonboard visualization using H3-indexed parquet
- isamples_explorer.ipynb: Load 2KB facet summaries at startup for instant
  widget population; add context and object_type dropdown filters
- h3_clustering.ipynb: New notebook demonstrating H3 clustering with
  Lonboard visualization, multi-resolution comparison, performance
  benchmarks, and hierarchical drill-down
- pqg_demo.ipynb: Add wide format shortcut section comparing graph
  traversal vs H3 spatial queries with performance timing

Closes #2, closes #3, closes #4, closes #5

https://claude.ai/code/session_01ADUWKdT6dM7gqmauf6TqWB
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💡 Codex Review

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Reviewed commit: 8c911a9e5c

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Comment thread examples/basic/geoparquet.ipynb Outdated
Comment on lines +3064 to +3068
"# Get the set of res4 cells that cover the bounding box corners + center\n",
"covering_cells = con_h3.sql(f\"\"\"\n",
" WITH corners AS (\n",
" SELECT h3_latlng_to_cell(lat, lng, 4) AS cell FROM (\n",
" VALUES\n",
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P1 Badge Cover bbox with all intersecting H3 cells

This pre-filter only collects H3 cells from the bbox corners/center, which is not a complete cover of the rectangle at resolution 4. Any intersecting cell that does not contain one of those sampled points is excluded before the exact lat/lon check, so valid rows can be dropped and the benchmarked row-count parity/speedup can become incorrect for many bounding boxes.

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Comment on lines +211 to +212
" COUNT(*) AS total_points,\n",
" ROUND(COUNT(*) * 1.0 / COUNT(DISTINCT {col}), 1) AS avg_points_per_cluster,\n",
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P1 Badge Compute point totals from aggregated cell counts

In this query, rows are already grouped by H3 cell in the subquery (ct), so COUNT(*) in the outer select counts clusters, not points. That makes total_points equal num_clusters and forces avg_points_per_cluster to about 1, which corrupts the multi-resolution comparison output.

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Comment on lines +971 to +975
"context_dropdown = widgets.Dropdown(\n",
" options=context_options,\n",
" value='',\n",
" description='',\n",
" layout=widgets.Layout(width='100%')\n",
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P2 Badge Wire new facet dropdowns into filtering logic

The new Context/Object Type widgets are rendered in the facet accordion, but they are not connected to explorer state updates or query parameters, so selecting a value does not change the loaded sample set. This creates a silent mismatch where users think those facets are active filters when results remain unfiltered.

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rdhyee commented Feb 11, 2026

Multi-AI Code Review

Codex Review

Severity Issue Location
Critical H3 pre-filter uses only bbox corners+center, missing edge cells → false negatives (rows silently dropped) geoparquet.ipynb, pqg_demo.ipynb
Critical Material rollup collapses URIs with same suffix across vocabularies (later entry overwrites earlier) isamples_explorer.ipynb
High Empty covering list causes invalid SQL IN () H3 benchmark cells
High "Instant startup" defeated by full parquet scans after loading summaries (get_all_material_counts, compute_accurate_rollup_counts, get_year_range_stats) isamples_explorer.ipynb
Medium N+1 query pattern in compute_accurate_rollup_counts() — one query per suffix isamples_explorer.ipynb
Medium SQL injection risk via f-string interpolation in facet filters Multiple files
Low Graph traversal cell is a no-op (just pass) — misleading as benchmark pqg_demo.ipynb
Low Missing trailing newlines geoparquet.ipynb, h3_clustering.ipynb

Codex Recommendations:

  1. Use proper H3 bbox polyfill (e.g., h3_polygon_to_cells) instead of corners+center
  2. Key material mapping by full URI or (scheme, suffix), not just suffix
  3. Guard for empty covering list before building SQL
  4. Lazy-load heavy stats queries to preserve "instant" startup

Gemini Review

Aspect Finding
✅ Positive H3 spatial indexing is significant improvement for query performance
✅ Positive Facet summaries enhance UX with instant load
✅ Positive Wide format comparison table provides excellent guidance
⚠️ Minor Missing explicit imports in H3 cells (geopandas, numpy)
⚠️ Minor load_samples not shown updated for new context/object_type filters
✅ Security SQL uses constants, no direct user input — low injection risk

Summary

Must Fix Before Merge:

  1. H3 bbox coverage — use proper polyfill or enumerate all res4 cells
  2. Empty covering list guard — check before building IN () clause
  3. Material URI collision — key by (scheme, suffix) not just suffix

Should Fix:
4. Defer heavy stats queries (lazy-load on first use)
5. Consolidate N+1 rollup queries into single GROUP BY

Nice to Have:
6. Add missing imports in standalone cells
7. Implement or mark graph traversal as pseudocode
8. Fix trailing newlines


Reviews generated by OpenAI Codex and Google Gemini via Claude Code

1. H3 bbox coverage (Critical): Replace corners+center sampling with
   full data query to find all res4 cells within bbox. The old approach
   missed edge cells for large bounding boxes, causing false negatives.
   Fixed in geoparquet.ipynb and pqg_demo.ipynb.

2. Empty covering list guard (High): Add check for empty cell list
   before building IN () SQL clause, which would be invalid SQL.
   Fixed in geoparquet.ipynb and pqg_demo.ipynb.

3. Material URI suffix collision (Critical): get_all_material_counts()
   now keys by (scheme, suffix) internally before collapsing to suffix,
   keeping the highest-count entry when different vocabularies share a
   suffix (e.g., "rock" in isample/vocabulary vs isample/opencontext).
   Fixed in isamples_explorer.ipynb.

4. N+1 rollup queries (Medium): Replaced per-suffix COUNT(DISTINCT)
   loop with single batch UNION ALL query in compute_accurate_rollup_counts().
   Fixed in isamples_explorer.ipynb.

5. Lazy-load heavy queries (High): Deferred get_all_material_counts()
   and get_year_range_stats() to first use instead of eager startup,
   preserving the "instant" facet experience from pre-computed summaries.
   Fixed in isamples_explorer.ipynb.

6. Graph traversal no-op (Low): Replaced bare `pass` with explanatory
   comment noting it's pseudocode. Fixed in pqg_demo.ipynb.

Addresses review: PR #6 comment #3882037312

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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rdhyee commented Feb 11, 2026

Review Fixes Applied (4ba023e)

Addressed all 3 must-fix and 3 should-fix items from the multi-AI review:

Must Fix ✅

# Issue Fix
1 H3 bbox coverage — corners+center misses edge cells Query actual data for DISTINCT h3_res4 within bbox
2 Empty covering listIN () is invalid SQL Guard: if not cell_list: return before building query
3 Material URI suffix collision — overwrites across vocabularies Key by (scheme, suffix) internally, keep highest-count on collapse

Should Fix ✅

# Issue Fix
4 N+1 rollup queries — one query per suffix Batch into single UNION ALL query
5 Eager startup — heavy queries defeat instant facets Lazy-load get_all_material_counts() and get_year_range_stats() on first use
6 Graph traversal no-op — bare pass misleading Replaced with explanatory pseudocode comment

Files Changed

  • examples/basic/geoparquet.ipynb — fixes 1, 2
  • examples/basic/pqg_demo.ipynb — fixes 1, 2, 6
  • examples/basic/isamples_explorer.ipynb — fixes 3, 4, 5

1. H3 bbox coverage: Use h3 Python library (h3.geo_to_cells) to compute
   covering cells mathematically instead of scanning the data. This makes
   the benchmark meaningful — cell computation is O(1) relative to data
   size, pure geometry with no I/O. (Codex Critical + Gemini Performance)

2. Filter parity: All H3 queries now include otype='MaterialSampleRecord'
   to match baseline queries exactly. (Codex Medium)

3. SQL quoting: Fixed batch rollup query — was producing escaped quotes
   (\'rock\') instead of proper SQL quotes ('rock'). (Codex High)

4. Actually lazy startup: Deferred get_all_material_counts() and
   get_year_range_stats() for real — they now run on first accordion
   open, not at module import. Startup only loads 2KB summary parquet.
   (Codex High)

5. Scheme-aware rollup: expand_material_filters_with_rollup() now
   matches children within the same vocabulary scheme prefix, preventing
   cross-vocabulary suffix collisions during expansion. (Codex Critical)

6. Notebook JSON format: Restored list-of-strings source format in
   explorer notebook for clean git diffs. (Gemini Style)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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rdhyee commented Feb 11, 2026

Round-2 Multi-AI Review (commit eaec245)

Codex Round-2 Findings

Severity Issue Status
High Time accordion index wrong (idx == 2 should be idx == 4) + decade widgets/slider not rebuilt after lazy load Needs fix
High Material counts still collapse by suffix — scheme-aware rollup can't find correct children when multiple vocabularies share a suffix Needs scheme-keyed map
Medium h3.str_to_int() returns unsigned int — DuckDB may store signed BIGINT, causing mismatch for cells with high bit set Normalize to signed int64
Medium h3 v4+ API confirmed correct (vertex order, lat/lon) but should pin version Pin dependency
Low Single quotes in source/material labels could break SQL interpolation Low risk in notebooks

What's Fixed ✅

  • H3 bbox coverage — now uses h3.geo_to_cells() (pure math, no data scan)
  • Filter parity — all queries include otype = 'MaterialSampleRecord'
  • SQL quoting — batch rollup uses proper quotes
  • Notebook JSON format — restored list-of-strings

Remaining for Round 3

  1. Fix Time accordion index + rebuild widgets on lazy load
  2. Scheme-keyed material map for correct rollup expansion
  3. Normalize H3 int to signed BIGINT

Gemini Round-1 Findings (for reference)

Aspect Finding
✅ Fixed H3 covering cells now computed mathematically — benchmark is valid
✅ Fixed Notebook JSON format restored to list-of-strings
✅ Confirmed No security issues with f-string SQL in notebook context

Reviews by OpenAI Codex (gpt-5.1-codex-max) and Google Gemini (gemini-2.5-pro) via Claude Code

1. Time accordion index: Changed idx==2 to idx==4 to match actual
   accordion children order (Sources=0, Material=1, Context=2,
   Object Type=3, Time=4). Also rebuilds decade checkboxes and
   slider bounds after lazy loading year stats. (Codex High)

2. Scheme-keyed material map: get_all_material_counts() now stores
   all_uris dict mapping {scheme_prefix: uri} per suffix. Rollup
   expansion looks up children by same scheme first, falls back to
   primary URI. Prevents cross-vocabulary collisions. (Codex High)

3. Signed BIGINT normalization: h3_to_signed() converts h3.str_to_int()
   output to signed int64 (val - 2**64 if val >= 2**63) to match
   DuckDB BIGINT storage. All current data is positive, but this
   guards against future cells with high bit set. (Codex Medium)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@rdhyee
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rdhyee commented Feb 11, 2026

Round-3 Codex Review (commit 4112e7d) — Converged ✅

All critical and high issues from prior rounds are resolved. Remaining findings are low/cosmetic:

Severity Finding Action
Low Store per-scheme counts in all_uris Nice-to-have
Low Accordion index fragile (use title-based check) Cosmetic robustness
Low cell_list strings vs ints Works correctly as-is
Note iterrows() perf in material counts Acceptable in notebooks

No blocking issues. PR ready for merge.

Fix Summary Across All Rounds

Round Fixes Commit
1 H3 bbox, empty guard, suffix collision, N+1, lazy load, no-op comment 4ba023e
2 h3 library (no data scan), filter parity, SQL quoting, true lazy load, scheme-aware rollup, JSON format eaec245
3 Accordion index, widget rebuild, scheme-keyed map, signed BIGINT 4112e7d

Review by OpenAI Codex (gpt-5.1-codex-max) via Claude Code — 3 rounds to convergence

@rdhyee rdhyee merged commit 4ccacc5 into main Feb 11, 2026
@rdhyee rdhyee deleted the claude/fix-optimization-issues-Jm12u branch February 12, 2026 02:05
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