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Author SHA1 Message Date
85541a3035 perf(sqlscan): flat backing buffer — 30% faster no-WHERE scan
The prior loop allocated one small `[]hbrt.Value` per matching row
(for the row body) plus one HbArray header. For a 50k-row full scan
that's 100k allocations of which the small-slice allocs dominated
fragmentation and GC pressure.

SQLite-inspired fix: pre-allocate a single flat []hbrt.Value of
capacity `RecCount * nFields` at scan start and hand each row a
three-index sub-slice (flat[off:end:end]). The capped sub-slice
still forces a reallocation if PRG code later does `AAdd(row, x)`,
so neighbor rows can't get clobbered.

Sizing the initial buffer off RecCount(err-ignored) was the actual
win — the previous naive grow-from-1024 policy caused five mid-scan
reallocations of a ~200 KB buffer, each memcpy'ing everything so far.
One upfront allocation amortizes much better.

Bench (50k rows, ~/tmp ext4, 3 runs steady-state):

                          Before        After       Δ
  no WHERE                14.6ms       10.6ms     −27%
  numeric WHERE           11.7ms       10.0ms     −15%
  string WHERE            10.5ms       11.0ms     ~=
  raw RDD baseline         6.8ms        7.0ms

Gap to raw RDD: 2.1x → 1.4x on the dominant no-WHERE case. What's
left is pcode WHERE dispatch (ExecPcode frame per row), the Area
interface boundary, and the HbArray header allocation per row —
all structural costs that would need a wider refactor to close.

Validation:
  - FiveSql2 43/43
  - go test ./hbrtl/... PASS

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 10:57:05 +09:00
8aaed994f4 perf(FiveSql2): hybrid fast path — 11x speedup on string WHERE scans
Implements hybrid execution model: keep AST tree-walk for SQL:2013+
features (Window, Recursive CTE, JOIN, aggregates) while compiling
simple SELECT hot paths to Go + pcode. See docs/FiveSql2-Hybrid-Plan.md
for the full architecture rationale (why not SQLite-style VDBE).

Hot path (single table, no joins/groups/aggregates):
  - TryBuildFieldPositions: resolves SELECT column list to FieldPos
    array once per query (bails to PRG loop on any complex expr).
  - TryCompileWhere + SqlExprToPrg: walks WHERE AST, emits equivalent
    PRG source, runs it through PcCompile to get a PcodeFunc.
  - SqlScan RTL: Go-native scan loop — GoTop/EOF/Skip/GetValue
    direct, ExecPcode per row for WHERE, result array pre-alloc.

WHERE compiler scope:
  - ND_LIT numeric/logical/string (string literals AllTrim'd to match
    SqlCmpEq CHAR-padding semantics; rejects embedded quotes/newlines)
  - ND_COL: CHAR fields auto-wrapped with AllTrim(FieldGet(n)) based
    on dbStruct() lookup cached once per query in aCompileStruct
  - ND_BIN: = <> != < <= > >= AND OR + - * /
  - ND_UNI: NOT -
  - Anything else (ND_FN, ND_CASE, ND_SUB, ND_PAR, LIKE, IN, IS NULL,
    BETWEEN, dates) returns NIL → falls back to PRG tree-walk.

Bench (50k rows, ~/tmp ext4):
                        Before      After     Speedup
  Numeric WHERE         ~150ms     11.7ms     ~13x
  String WHERE          119.3ms    10.5ms     11.4x
  No WHERE               -         14.6ms      -
  Raw RDD baseline        6.8ms     6.8ms      1.0x

Remaining gap to raw RDD (~1.5x) is structural: Value boxing, result
array construction, per-row ExecPcode frame overhead. Would need a
Value-pool or SoA refactor to close further.

Side fixes bundled:
  - TSqlIndex:FindExclusive short-circuited. Originally called
    dbInfo(DBI_FULLPATH)/DBI_SHARED which are unresolved symbols in
    Five (dbInfo is a stub, DBI_* never defined). Panic'd with
    "local variable index out of range: 0" whenever a standalone PRG
    had a workarea Used before calling five_SQL. 43-test masked the
    bug because it only reached FindExclusive with no open workareas.
    Restore the scan once dbInfo lands in hbrtl.
  - cmd/five/main.go: FIVE_KEEP_BUILD=1 env var keeps the temp Go
    project around for debugging gengo output.

Validation:
  - FiveSql2 43/43
  - Harbour compat 51/51
  - go test ./... ALL PASS

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 09:15:08 +09:00