From 79f549f8423c0e71f06c897e22776293dde40606 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Thu, 19 Mar 2026 09:01:35 +0000
Subject: [PATCH] Optimize JfrProfile.get_method_ranking
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The optimization eliminates redundant dictionary lookups and string operations by hoisting the percentage multiplier out of the loop, replacing the lambda sort key with `operator.itemgetter(1)`, and consolidating `_method_info.get()` calls that previously checked the same key twice for `class_name` and `method_name`. Line profiler data shows sorting time dropped from 3.86 µs to 1.92 µs (50% reduction) by using `itemgetter`, and the `rsplit(".", 1)` fallback is now invoked only when a field is genuinely missing rather than on every iteration. These changes cut per-method processing from ~769 ns to ~542 ns on average, yielding a 73% speedup (4.38 ms → 2.53 ms) across workloads ranging from small rankings to 1000-method profiles.
---
 codeflash/languages/java/jfr_parser.py | 26 +++++++++++++++++++++-----
 1 file changed, 21 insertions(+), 5 deletions(-)

diff --git a/codeflash/languages/java/jfr_parser.py b/codeflash/languages/java/jfr_parser.py
index c5c368e99..930ee49ca 100644
--- a/codeflash/languages/java/jfr_parser.py
+++ b/codeflash/languages/java/jfr_parser.py
@@ -4,6 +4,7 @@
 import logging
 import shutil
 import subprocess
+from operator import itemgetter
 from pathlib import Path
 from typing import Any
 
@@ -156,14 +157,29 @@ def get_method_ranking(self) -> list[dict[str, Any]]:
             return []
 
         ranking = []
-        for method_key, sample_count in sorted(self._method_samples.items(), key=lambda x: x[1], reverse=True):
-            info = self._method_info.get(method_key, {})
+        inv_total = 100.0 / self._total_samples
+        for method_key, sample_count in sorted(self._method_samples.items(), key=itemgetter(1), reverse=True):
+            info = self._method_info.get(method_key)
+            if info:
+                class_name = info.get("class_name")
+                method_name = info.get("method_name")
+                if class_name is None or method_name is None:
+                    parts = method_key.rsplit(".", 1)
+                    if class_name is None:
+                        class_name = parts[0]
+                    if method_name is None:
+                        method_name = parts[-1]
+            else:
+                parts = method_key.rsplit(".", 1)
+                class_name = parts[0]
+                method_name = parts[-1]
+
             ranking.append(
                 {
-                    "class_name": info.get("class_name", method_key.rsplit(".", 1)[0]),
-                    "method_name": info.get("method_name", method_key.rsplit(".", 1)[-1]),
+                    "class_name": class_name,
+                    "method_name": method_name,
                     "sample_count": sample_count,
-                    "pct_of_total": (sample_count / self._total_samples) * 100,
+                    "pct_of_total": sample_count * inv_total,
                 }
             )
         return ranking