Eagerly materialize row cells during sort buffering#23
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philcunliffe wants to merge 7 commits intomasterfrom
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Eagerly materialize row cells during sort buffering#23philcunliffe wants to merge 7 commits intomasterfrom
philcunliffe wants to merge 7 commits intomasterfrom
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Add multi-level caching and reduce per-row overhead: - parseSql: LRU cache (64 entries) avoids re-tokenizing/parsing same SQL strings - planSql: WeakMap cache on parsed ASTs avoids re-planning identical queries - asyncRow: attach _data field for zero-copy collection - collect: sync fast-path skips Promise.all when all rows have pre-materialized _data - executeProject: pre-compute static column names, fast-path for simple identifier projections with direct cell passthrough and _data propagation - executeSql: skip table normalization when no array tables are present - compareForTerm: use module-level Set instead of per-call array allocation - memorySource: hoist column computation outside scan loop, use Set for validation
- Add _data to AsyncRow type definition - Cast to DerivedColumn/IdentifierNode where type narrowing is needed - Type _data as Record<string, SqlPrimitive> - Fix JSDoc placement for compareForTerm
Adapt optimizations to the new QueryResults return type: - executeSql: keep table normalization skip, use new inline plan+execute - executeProject: move pre-computation outside rows(), keep identifier fast-path and static column names inside the rows() generator - Add _data to AsyncRow type definition - Fix JSDoc placement and type casts for tsc
Drop the parseSql/planSql memoization caches added in 881a031. Also rename the pre-materialized row payload from `_data` to `resolved` for clarity, and delete stale scratch files (query-parquet.mjs, repro-525.mjs). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Resolves all cell values when rows are buffered for ORDER BY, replacing AsyncRow closures (which capture decompressed parquet row group data) with plain value-returning functions. The original closures become GC-eligible immediately. For tables with large text columns (~10KB/row), this reduces per-row buffer cost from ~10KB (closure over parquet data) to ~100B (plain value).
This was referenced Apr 12, 2026
…erialization # Conflicts: # src/execute/execute.js # src/execute/sort.js
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Summary
AsyncRowclosures with plain value-returning functionsTest plan