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feat: add expandForValueSet to CodeSystemProvider for SQL-backed expansion
Add one optional method to the CodeSystemProvider interface that lets SQL-backed providers handle ValueSet expansion in a single query with LIMIT/OFFSET instead of the per-code iterator loop. The worker groups compose includes/excludes by code system and passes the full hull to the provider. Providers returning an iterable skip the framework's manual include/exclude loops entirely. Providers returning null (e.g., SNOMED) fall back to the existing path unchanged. RxNorm implementation: TTY/STY filter mapping to SQL, GROUP BY for JOIN dedup, exclude/activeOnly/searchText push-down via better-sqlite3 cursors. LOINC implementation: Relationship/Property/Status filter mapping, UNION per include with GROUP BY dedup, all using existing indexes. Paging offset/count are only passed for single-system composes where they are exact. Multi-system composes still get filter/exclude push-down but the framework handles paging in finalization. Also includes: eager context loading in RxNorm (eliminates 3x redundant SQL per code), searchFilter arg order fixes, TxParameters.assign fix, perf counters, and props-only-when-requested optimization. Benchmarks: RxNorm 13/13 pass (median 37x), LOINC 14/14 pass (median 25x). No regressions on captured production query replay. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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# Faster ValueSet Expansion via `expandForValueSet`
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## The Problem
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The `CodeSystemProvider` interface (`tx/cs/cs-api.js`) treats each provider as an
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**iterator + attribute oracle**: given a filter, produce matching codes one at a
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time, then answer per-code questions (`isInactive`, `getStatus`, `designations`,
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etc.). The expansion worker assembles the result by driving this loop.
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For SQL-backed providers like RxNorm and LOINC, this creates two performance
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problems:
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1. **Per-code overhead.** The worker calls 8–10 methods per code. If contexts aren't
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self-sufficient, each call can trigger a SQL query. For RxNorm, expanding 1100
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codes originally cost 3301 SQL queries (1 filter + 1100 × 3 per-code status
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lookups). This was fixed independently by making contexts carry all attributes
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at creation time — zero interface changes required.
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2. **No paging push-down.** To return page 11 (offset=1000, count=100), the worker
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processes all 1100 codes, then discards the first 1000. It can't tell the
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provider to skip ahead because paging is a ValueSet-level concern (multiple
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includes, excludes, dedup across code systems). A SQL provider could do
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`LIMIT 100 OFFSET 1000` and return in ~1ms instead of ~200ms.
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Similarly, excludes and `activeOnly` filtering happen code-by-code in the worker.
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A SQL provider could handle all of these in the WHERE clause.
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We briefly considered adding `{ offset, count, activeOnly }` options to the
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existing `executeFilters()` method, but this creates awkward partially-resolved
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states — the provider handles some post-filters but not others, and the worker
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has to know which. Piecemeal push-down doesn't compose well.
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## The Interface Change
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One new optional method on `CodeSystemProvider`:
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```js
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async expandForValueSet(spec) {
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// Returns an AsyncIterable<ExpandedEntry> or null (can't handle → fall back)
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return null;
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}
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```
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Instead of threading individual parameters through the 10-call-per-code loop,
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**give the provider the full hull of includes and excludes that apply to its code
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system** and let it handle everything in one shot.
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### Input
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The worker groups compose entries by code system and builds:
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```js
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{
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includes: [ // compose.include blocks for this CS
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{ concepts: [{code, display?}], // explicit code list (may be null)
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filters: [{property, op, value}] // property filters (may be empty)
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}, ...
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],
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excludes: [ // compose.exclude blocks for this CS
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{ concepts: [{code}],
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filters: [{property, op, value}]
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}, ...
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],
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activeOnly: boolean, // exclude inactive codes
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searchText: string | null, // expansion 'filter' parameter
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includeDesignations: boolean, // whether designations are needed
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properties: string[], // which properties to include
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languages: Languages, // requested display languages
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// Paging — non-null only when safe (single code system); must apply if present
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offset: number | null,
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count: number | null,
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}
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```
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### Output
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`AsyncIterable<ExpandedEntry>` where each entry is a fully-resolved code:
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```js
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{
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code: string,
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display: string,
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isAbstract: boolean,
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isInactive: boolean,
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isDeprecated: boolean,
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status: string | null,
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definition: string | null,
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designations: [{language, use, value}],
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properties: [{code, valueType, value}],
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extensions: [...] | null,
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}
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```
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The worker iterates these entries via `includeCode()`, which still handles dedup
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across code systems, import filtering, expansion limits, and FHIR object construction.
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### Paging contract
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`offset` and `count` are **non-null only when the worker can verify they're
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safe** (currently: single code system in the compose). When provided:
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- The provider **must apply them** (via SQL `LIMIT/OFFSET`). The worker zeros
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its own offset after a successful `expandForValueSet` call, so the provider's
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SQL is the sole paging authority.
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- If the provider can handle filters and excludes but **not** paging, it should
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return `null` to fall back to the framework's iterator path, which applies
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offset/count during finalization.
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When `null` (multi-system compose, or offset/count not requested):
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- The provider returns all matching codes. The framework accumulates them into
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`fullList` and applies paging during finalization. Still faster than baseline
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because the provider handles filters, excludes, and activeOnly in SQL — just
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without the LIMIT/OFFSET shortcut.
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Each expansion request is fully stateless — there is no cross-request memory of
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previous pages. A request for offset=1000 re-derives the full ordered result set
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and skips the first 1000 entries. SQL `LIMIT/OFFSET` lets the provider do this skip in
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the B-tree index instead of iterating through rows.
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### Why the provider gets excludes
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With paging push-down, SQL-side excludes are **15x faster** than JS-side filtering
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(1.1ms vs 15.9ms at offset=10000). The B-tree index handles seek + exclude together.
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The provider needs excludes to make paging accurate.
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### Fallback protocol
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1. Provider returns `null` → worker falls back to the existing iterator-oracle
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pattern, completely unchanged. SNOMED and any provider that doesn't implement
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this method are unaffected.
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2. Provider returns an iterable → worker iterates entries, skips the framework's
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manual `excludeCodes()` and `includeCodes()` paths for that code system.
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3. `this.offset = 0` after expansion — the provider's SQL handled OFFSET; prevents
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the framework's finalization from double-skipping.
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### Why `better-sqlite3`
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The async `sqlite3` package can't support this pattern: `db.each()` can't abort
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early, so there's no way to stop after N rows. `better-sqlite3` provides
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synchronous lazy cursors via `stmt.iterate()` — the provider can break after the
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page is filled. It's also 2x faster for bulk loads.
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The sync API is fine here — SQLite operations are inherently single-threaded and
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in-process. The async wrappers add overhead for no concurrency benefit.
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---
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## RxNorm Implementation
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### SQL strategies
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The RxNorm provider maps each filter/option to SQL:
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| Filter | SQL | Index used |
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|--------|-----|------------|
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| TTY (e.g., SBD) | `WHERE TTY IN (...)` | `(SAB, TTY, RXCUI)` — covers ORDER BY |
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| STY (semantic type) | `JOIN rxnsty ON rxnsty.RXCUI = rxnconso.RXCUI WHERE TUI = ?` | `X_RXNSTY_2(TUI)` drives, probes `X_RXNCONSO_1(RXCUI)` |
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| Concepts | `WHERE RXCUI IN (...)` with `+SAB = @sab` (unary `+` suppresses SAB index) | `X_RXNCONSO_1(RXCUI)` |
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| Excludes | `AND RXCUI NOT IN (@p1, @p2, ...)` | — |
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| activeOnly | `AND SUPPRESS <> '1'` | — |
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| searchText | `AND UPPER(STR) LIKE @pattern` | — |
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**GROUP BY for JOINs**: When STY joins are present, rxnconso has 1–8 rows per RXCUI
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(different TTY values). `GROUP BY RXCUI` deduplicates at the SQL level so
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LIMIT/OFFSET counts unique codes, not raw rows.
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**Index lesson**: Adding indexes can *hurt* SQLite — a composite `rxnsty(TUI, RXCUI)`
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index caused the planner to switch to a worse strategy. Prefer query shaping (JOIN
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order, unary `+`) over explicit index hints.
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### Results (13 tests)
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```
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Test | Opt (ms) | Base (ms) | Speedup | Result
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------------------------------|----------|----------|---------|-------
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filter-tty-sbd-10 | 6.8 | 248.7 | 36.5x | ✅ exact
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concept-5 | 2.5 | 3.8 | 1.5x | ✅ exact
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exclude-concepts-3 | 3.2 | 235.2 | 73.8x | ✅ exact
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multi-include-2 | 63.9 | 471.0 | 7.4x | ✅ sets equal (40k)
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activeonly-sbd | 2.2 | 194.9 | 82.3x | ✅ exact
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filter-tty-in-multi | 1.4 | 476.0 | 341.6x | ✅ exact
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filter-sty-t200 | 217.1 | 1521.6 | 7.0x | ✅ exact
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paged-offset-100 | 1.3 | 228.2 | 177.4x | ✅ exact
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text-aspirin | 1.8 | TIMEOUT || ✅ opt works
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exclude-filter | 3.9 | 320.5 | 83.2x | ✅ exact
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multi-include-concept+filter | 140.2 | 189.5 | 1.4x | ✅ sets equal (23k)
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combo-active-text-paged | 1.4 | TIMEOUT || ✅ opt works
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multi-include-multi-exclude | 99.7 | 673.7 | 6.8x | ✅ sets equal (40k)
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```
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**All 13 pass.** Median speedup ~37x. Best case 342x (multi-value IN with index).
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---
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## LOINC Implementation
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### Baseline problem
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LOINC's existing provider loads **all 240k codes into memory** at startup. Filter
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queries run SQL to find matching CodeKeys, then **materialize the entire result
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set** into an array before iterating. For large filters this takes 2–5 seconds:
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STATUS=ACTIVE materializes 163k rows, CLASSTYPE=Lab materializes 73k rows.
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The LOINC database is more normalized than RxNorm:
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- `Codes` (240k) — CodeKey PK, Code, Type (1=Code, 2=Part, 3=AnswerList, 4=Answer), StatusKey
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- `Relationships` (1.2M) — links codes to parts (COMPONENT, CLASS, SYSTEM, SCALE_TYP, etc.)
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- `Properties` (347k) + `PropertyValues` — key-value attributes (CLASSTYPE, ORDER_OBS)
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### SQL strategies
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| Filter | SQL | Notes |
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|--------|-----|-------|
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| Relationship (COMPONENT, CLASS, etc.) | `JOIN Relationships r ON r.TargetKey = (SELECT CodeKey FROM Codes WHERE Code = ?) AND r.RelationshipTypeKey = ? AND r.SourceKey = c.CodeKey` | Naturally scopes to Type=1 codes |
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| STATUS | `WHERE c.StatusKey = ?` | Direct column match |
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| CLASSTYPE | `JOIN Properties p ... JOIN PropertyValues pv ... AND pv.Value = ?` | Value "1" → "Laboratory class" via lookup |
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| LIST (answers-for) | `JOIN Relationships r ON r.SourceKey = (SELECT ...) AND r.RelationshipTypeKey = 40 AND r.TargetKey = c.CodeKey` | Reversed direction — list is source, answers are targets |
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| activeOnly | `WHERE c.StatusKey = 1` | — |
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**Multi-include via UNION**: Each compose include becomes a separate SELECT. Multiple
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includes are `UNION ALL`'d, with the outer query applying `GROUP BY Code` for dedup:
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```sql
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SELECT Code, Description FROM (
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SELECT c.Code, c.CodeKey, d.Description FROM Codes c
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JOIN Descriptions d ON d.CodeKey = c.CodeKey AND d.DescriptionTypeKey = 1
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JOIN Relationships r1 ON ... -- include 1 filters
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UNION ALL
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SELECT c.Code, c.CodeKey, d.Description FROM Codes c
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JOIN Descriptions d ON d.CodeKey = c.CodeKey AND d.DescriptionTypeKey = 1
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JOIN Relationships r2 ON ... -- include 2 filters
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) GROUP BY Code ORDER BY CodeKey LIMIT ? OFFSET ?
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```
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This avoids AND-semantics where JOINs from different includes would all need to
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match simultaneously.
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**Key decisions:**
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- **ORDER BY CodeKey** (not Code string) matches baseline iteration order
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- **No blanket Type=1 filter** — relationship JOINs scope naturally; a Type=1
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restriction would break LIST queries (answers are Type=4)
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- **Existing indexes sufficient** — `RelationshipsTarget`, `PropertiesCode1`,
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`CodesCode` cover all patterns without new indexes
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- **Concept-only includes fall back** — `expandForValueSet` returns `null`, lets
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the framework handle via `locate()` (efficient for small lists)
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### Results (14 tests)
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```
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Test | Opt (ms) | Base (ms) | Speedup | Result
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------------------------------|----------|-----------|---------|---------------------------
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filter-component-bacteria | 11.3 | 31.4 | 2.7x | ✅ exact
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filter-class-chem | 13.8 | 941.0 | 68.2x | ✅ exact
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filter-scale-qn | 50.8 | 2611.3 | 51.4x | ✅ exact
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filter-system-ser | 21.0 | 680.4 | 32.4x | ✅ exact
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concept-5 | 2.8 | 1.9 | 0.6x | ✅ sets equal (5)
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exclude-concepts | 2.3 | 57.4 | 24.9x | ✅ exact
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activeonly-class | 14.0 | 119.4 | 8.7x | ✅ exact
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filter-list-ll150 | 2.3 | 14.7 | 6.4x | ✅ sets equal (255)
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filter-classtype-lab | 82.2 | 2020.7 | 24.6x | ✅ exact
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paged-class-offset-100 | 14.0 | 102.8 | 7.5x | ✅ exact
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multi-filter-comp-scale | 2.4 | 80.0 | 34.6x | ✅ exact
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filter-status-active | 50.1 | 5324.6 | 106.4x | ✅ exact
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text-glucose | 1.3 | 1.4 | 1.1x | ✅ exact
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multi-include-2-components | 4.2 | 87.6 | 25.0x | ✅ sets equal (743)
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```
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**All 14 pass.** Median speedup ~25x. Biggest wins: STATUS=ACTIVE 5.3s → 50ms,
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SCALE_TYP=Qn 2.6s → 51ms, CLASSTYPE=Lab 2.0s → 82ms.
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---
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## Validation
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**Unit tests:** LOINC 37/37 pass, RxNorm 45/45 skip (require raw import data).
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**Replay tests** (18 captured production queries):
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- RxNorm: 3/3 ✅ (validate-code, all 200)
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- LOINC: 4/4 functionally correct (1 exact match, 3 now return 200 where production
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returned 422 — we handle queries production rejected)
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- SNOMED: 5/5 expected failures (not loaded)
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- Other: 6/6 ✅ (batch-validate, multi-system expansions)
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## Summary
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The entire interface change is **one optional method** — `expandForValueSet`. It's
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additive: providers that don't implement it are completely unaffected. The method
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gives SQL-backed providers the information they need (the full compose hull,
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activeOnly, excludes, paging) to push everything into a single query with
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LIMIT/OFFSET.
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| What | RxNorm | LOINC |
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|------|--------|-------|
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| Tests | 13/13 pass | 14/14 pass |
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| Median speedup | ~37x | ~25x |
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| Best speedup | 342x | 106x |
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| Biggest absolute win | text+combo: TIMEOUT → <2ms | STATUS=ACTIVE: 5.3s → 50ms |
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| New indexes needed | None | None |
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| Existing tests broken | None | None |

server.js

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@@ -502,6 +502,38 @@ app.get('/health', async (req, res) => {
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res.json(healthStatus);
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});
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app.get('/debug/perf-counters', (req, res) => {
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const perfCounters = require('./tx/perf-counters');
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res.json(perfCounters.snapshot());
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});
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app.post('/debug/perf-counters/reset', (req, res) => {
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const perfCounters = require('./tx/perf-counters');
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perfCounters.reset();
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res.json({ ok: true });
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});
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app.post('/debug/perf-counters/enable', (req, res) => {
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const perfCounters = require('./tx/perf-counters');
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perfCounters.enable();
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res.json({ ok: true });
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});
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app.post('/debug/bypass-expand-for-valueset', (req, res) => {
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const { RxNormServices } = require('./tx/cs/cs-rxnorm');
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const { LoincServices } = require('./tx/cs/cs-loinc');
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const bypass = req.query.bypass !== 'false';
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RxNormServices.bypassExpandForValueSet = bypass;
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LoincServices.bypassExpandForValueSet = bypass;
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res.json({ bypassExpandForValueSet: bypass });
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});
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app.get('/debug/bypass-expand-for-valueset', (req, res) => {
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const { RxNormServices } = require('./tx/cs/cs-rxnorm');
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const { LoincServices } = require('./tx/cs/cs-loinc');
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res.json({ bypassExpandForValueSet: !!(RxNormServices.bypassExpandForValueSet || LoincServices.bypassExpandForValueSet) });
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});
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/**
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* Get log directory statistics: file count, total size, and disk space info
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* @returns {string} HTML table row(s) with log stats

tx/cs/cs-api.js

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@@ -620,6 +620,44 @@ class CodeSystemProvider {
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}
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/**
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* Expand all include/exclude blocks for this code system in one shot.
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*
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* The worker groups compose.include and compose.exclude blocks by system,
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* then hands the full hull to the provider. SQL-backed providers can translate
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* the entire spec into a single query with LIMIT/OFFSET, activeOnly, and
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* exclude push-down.
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*
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* @param {Object} spec
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* @param {Object[]} spec.includes - include blocks for this CS, each with
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* { concepts: [{code, display?}]|null, filters: [{property, op, value}] }
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* @param {Object[]} spec.excludes - exclude blocks for this CS, each with
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* { concepts: [{code}]|null, filters: [{property, op, value}] }
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* @param {boolean} spec.activeOnly - exclude inactive codes
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* @param {string|null} spec.searchText - expansion 'filter' parameter
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* @param {boolean} spec.includeDesignations - whether designations are needed
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* @param {string[]} spec.properties - which properties to include
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* @param {number|null} spec.offset - paging offset (must apply if non-null)
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* @param {number|null} spec.count - paging count (must apply if non-null)
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*
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* @returns {AsyncIterable<{
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* code: string,
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* display: string,
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* system: string,
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* version: string,
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* isAbstract: boolean,
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* isInactive: boolean,
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* isDeprecated: boolean,
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* status: string|null,
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* definition: string|null,
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* designations: Array<{language: string, use: Object|null, value: string}>,
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* properties: Array<{code: string, value: *}>|null,
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* extensions: Array|null
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* }>|null} An async iterable of expanded entries, or null if this provider
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* cannot handle the spec (worker falls back to per-code iteration).
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*/
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async expandForValueSet(spec) { return null; }
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/**
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* register the concept maps that are implicitly defined as part of the code system
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*

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