perf: continue eval STRING optimization work (follow-up to #1940)
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Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 52/100
- Tipo de issue
- Error
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Área
- backend, performance
Línea de trabajo
Start with src/main/java/org/perlonjava/frontend/parser/Parser.java and the listed allocation hotspots; run dev/bench/benchmark_eval_string.pl to establish a baseline. The issue lists five possible optimizations across parser, emitter, lexer, runtime, and symbol table, so pick one and measure its impact. Run nice -n 19 make and verify both backends with the provided eval commands; done means the change passes and improves the benchmark without breaking those checks.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Context
PR #1940 reduced eval STRING overhead from 6.8× to 6.0× slower than system Perl on dev/bench/benchmark_eval_string.pl:
| ops/sec | |
|---|---|
| System Perl | 263,000/s |
| PerlOnJava (post-PR #1940) | 43,700/s |
| Ratio | 6.0× |
All optimizations in PR #1940 targeted the real pipeline per unique eval string (no eval-string caching). The remaining gap is structural — JVM overhead vs native C.
Remaining opportunities (in estimated impact order)
1. Lazy indexSourceLines() in Parser — high impact
File: src/main/java/org/perlonjava/frontend/parser/Parser.java (~lines 383–394)
indexSourceLines() is called from both constructors and scans the entire token list to build a line-number index array. For eval strings, no source-line lookup is needed at runtime unless an exception is thrown.
Fix: Remove the call from both constructors. Build the int[] lazily on the first sourceLineAt() call (add a boolean lineIndexBuilt field, or check lineIndex == null).
Evidence: This was the #1 allocation hotspot in a JFR profile of 500k iterations (416 samples). Saving one int[] allocation + O(tokens) scan per eval.
2. Lazy EmitterContext.contextCache and JavaClassInfo maps — medium impact
Files:
src/main/java/org/perlonjava/backend/jvm/EmitterContext.javasrc/main/java/org/perlonjava/backend/jvm/JavaClassInfo.java
EmitterContext.contextCache is a HashMap allocated eagerly in the constructor even for evals that never write to it.
JavaClassInfo has 4 pin/literal maps allocated eagerly.
Fix: Initialize each to null; create on first write via a private accessor. Readers check for null (return empty or no-op).
Savings: 5 map allocations per eval.
3. Lexer sawBegin flag to skip BEGIN aliasing loop — medium impact
Files:
src/main/java/org/perlonjava/frontend/lexer/Lexer.javasrc/main/java/org/perlonjava/runtime/runtimetypes/RuntimeCode.java
evalStringWithInterpreter() (RuntimeCode.java around line 5330) iterates ALL visible variables on every eval to support BEGIN {} inside eval strings. BEGIN in eval is extremely rare.
Fix: Add boolean sawBegin to Lexer. In nextToken(), when creating an IDENTIFIER token, check if text.equals("BEGIN") and set sawBegin = true. After tokenize(), evalStringWithInterpreter() checks lexer.sawBegin — if false, skip the entire alias loop.
Savings: O(visible_vars) String allocations + HashMap lookups eliminated on the common path.
4. Skip BitSet.clone() for empty BitSets in enterScope — low impact
File: src/main/java/org/perlonjava/frontend/semantic/ScopedSymbolTable.java
enterScope() unconditionally clones 3 BitSets even when they are empty (the common case for eval strings with no warning pragmas).
Fix: Replace existing.clone() with new BitSet() when existing.isEmpty().
5. Pool common LexerToken instances — low impact
File: src/main/java/org/perlonjava/frontend/lexer/Lexer.java
NEWLINE and common single-char operator tokens (,, ;, (, ), {, }) are allocated fresh on every tokenization. These are stateless value objects.
Fix: Static flyweight instances; return pooled instance from nextToken() for these common cases.
Measurement guidance
Benchmark command:
# Warm up JVM + measure
timeout 120 ./jperl dev/bench/benchmark_eval_string.pl
# System Perl baseline
perl dev/bench/benchmark_eval_string.pl
# Quick smoke (no JVM warmup noise):
timeout 30 ./jperl -e 'use Benchmark qw(timethis); timethis(500_000, sub { eval "1" })'
For each change, run nice -n 19 make first (full test suite). Both backends must still pass:
./jperl -e 'eval "my \$x = 1"'
./jperl --interpreter -e 'eval "my \$x = 1"'
Profile guidance
The JFR profile that informed PR #1940 used:
./jperl -XX:+UnlockDiagnosticVMOptions -XX:StartFlightRecording=... -e '
for (1..500_000) { eval "my \$x = 1 + 2; \$x" }
'
A fresh profile after PR #1940 merges will show whether the allocation hotspot has shifted.
Notes
- The
a59926c1a/442ce8c09eval-string cache experiment was tried and removed — it caused correctness issues and the cache key was too coarse. Do not re-add a simple string-equality cache for eval. - The
PerlRuntime.bind()re-entrant fast-path skipssynchronized lifecycleMonitorbut still pushes aBindingFrame; the LIFO invariant inPerlRuntimeTestmust stay green.
- Lenguaje dominante
- Perl
- Estrellas
- 65
- Forks
- 8
- Merge medio
- 5 h 45 min
- PR fusionados (30 d)
- 184
Preparar el entorno
- Incluye un Dockerfile o un archivo de Docker Compose
- Sin plantilla de pull request
- Leer la guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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