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| author | Florian Fischer <florian.fl.fischer@fau.de> | 2018-08-19 20:14:25 +0200 |
|---|---|---|
| committer | Florian Fischer <florian.fl.fischer@fau.de> | 2018-08-19 20:14:25 +0200 |
| commit | 1df6b12ea5a8365eba82678017e6a8b86dac30f7 (patch) | |
| tree | 4f9d347f70a4cb6e17ab645fe5b4187c9825e54a | |
| parent | 867e0de8170a1a13696391883947e426520ae134 (diff) | |
| download | allocbench-1df6b12ea5a8365eba82678017e6a8b86dac30f7.tar.gz allocbench-1df6b12ea5a8365eba82678017e6a8b86dac30f7.zip | |
add rssmax to mysql memory statistic and remove useless save code in run
| -rw-r--r-- | mysql.py | 15 |
1 files changed, 10 insertions, 5 deletions
@@ -108,7 +108,7 @@ class Benchmark_MYSQL( Benchmark ): print("Delete mysqld directory") shutil.rmtree("mysql_test") - def run(self, verbose=False, save=False, runs=3): + def run(self, verbose=False, runs=3): cwd = os.getcwd() for run in range(1, runs + 1): print(str(run) + ". run") @@ -127,7 +127,7 @@ class Benchmark_MYSQL( Benchmark ): return False # Get initial memory footprint - heap_size = {"heap_start": 0, "heap_end": 0} + heap_size = {"heap_start": 0, "heap_end": 0, "rssmax": 0} for m in self.server.memory_maps(): if "[heap]" in m: heap_size["heap_start"] = m.size @@ -184,6 +184,11 @@ class Benchmark_MYSQL( Benchmark ): for m in self.server.memory_maps(): if "[heap]" in m: heap_size["heap_end"] = m.size + with open("/proc/"+str(self.server.pid)+"/status", "r") as f: + for l in f.readlines(): + if l.startswith("VmHWM:"): + heap_size["rssmax"] = l.replace("VmHWM:", "").strip().split()[0] + break if tname != "chattymalloc": self.results["memusage"][tname].append(heap_size) @@ -191,9 +196,6 @@ class Benchmark_MYSQL( Benchmark ): self.server.kill() self.server.wait() - if save: - with open(self.name + ".save", "wb") as f: - pickle.dump(self.results, f) return True def summary(self): @@ -257,10 +259,13 @@ class Benchmark_MYSQL( Benchmark ): # memusage for target, measures in self.results["memusage"].items(): heap_growth = [] + rssmax = [] for m in measures: heap_growth.append(int(m["heap_end"]) - int(m["heap_start"])) + rssmax.append(int(m["rssmax"])) print(target, "memory footprint:") print("\t avg heap growth:", np.mean(heap_growth)) + print("\t rss max:", np.mean(rssmax)) mysql = Benchmark_MYSQL() |
