Parser: avoid allocating a fresh Matcher per rule per line in the hot parse path

Summary

Profiling the parser shows that per-line regex matching is the single largest source of allocation and CPU in the library. GenerationalHeapParser.process(String) evaluates every rule against every line, and each evaluation allocates a brand-new Matcher (and its internal int[] group/local arrays) via Pattern.matcher(line).

Evidence (JFR settings=profile, ~28s run)

Workload: sample Main parsing a 195 MB JDK8 ParallelGC rolling log (gclogs/rolling/jdk8/aagl_prd/gc.log), -Xmx1500m, G1, Java 25 (GraalVM 25.0.3). 4015 execution samples, ~19,985 MB sampled allocations.

Allocation pressure (share of ~19,985 MB):

Hot methods (CPU) — top 8 are all regex, ≈76% of 4015 samples:
Pattern$Branch.match 17.8%, Pattern$BmpCharProperty.match 16.7%, Pattern$GroupHead.match 12.5%, Pattern$Curly.match 11.6%, Pattern$BmpCharPropertyGreedy.match 11.5%, plus Start/Slice/GroupTail.

Root cause

parser/src/main/java/com/microsoft/gctoolkit/parser/GCParseRule.java

public GCLogTrace parse(String trace) {
    Matcher matcher = pattern.matcher(trace);   // new Matcher + int[] arrays every call
    if (matcher.find()) { return new GCLogTrace(matcher); }
    return null;
}

GenerationalHeapParser.process(String) (line ~303) runs this across the whole rule set for every line:

parseRules.keys().stream()
    .map(rule -> new AbstractMap.SimpleEntry<>(rule, rule.parse(line)))  // matcher per rule per line
    .filter(tuple -> tuple.getValue() != null)
    .findFirst();

For a multi-million-line log tried against dozens of rules, that is tens of millions of throwaway Matcher/int[] allocations. ignoreFrequentButUnwantedEntries also runs several parse() calls per line before the main loop.

Suggested fixes

1. Cheap prefilter before regex. Add a fast String.startsWith/indexOf/length guard (or a first-token switch) per rule so the full regex is only attempted on plausible candidates.
2. Reuse Matcher instances via matcher.reset(line) instead of pattern.matcher(line) (parsing per channel is single-threaded — note the existing synchronized/"matcher corruption" TODO in GCParseRule).
3. Order/short-circuit rules by hit frequency so common lines match early.

Expected impact

Targets the ~33% of allocations (int[] + Matcher) and ~76% of CPU attributed to regex. GC itself is already healthy (98.76% throughput), so this is a CPU/allocation-throughput improvement, not a pause fix.

Start with parser/src/main/java/com/microsoft/gctoolkit/parser/GCParseRule.java and GenerationalHeapParser.process(String), including the existing synchronized or “matcher corruption” TODO. Trace parse() and ignoreFrequentButUnwantedEntries, then profile the sample Main workload against gclogs/rolling/jdk8/aagl_prd/gc.log. Done means lower per-line Matcher and array allocation without changing rule matching or parsed results.