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import copy
import matplotlib.pyplot as plt
import multiprocessing
import numpy as np
import os
import re
import shutil
import subprocess
from subprocess import PIPE
import sys
from time import sleep
from src.globalvars import allocators
from src.benchmark import Benchmark
from src.util import *
cwd = os.getcwd()
prepare_cmd = ("sysbench oltp_read_only --db-driver=mysql --mysql-user=root "
"--mysql-socket=" + cwd + "/mysql_test/socket --tables=5 "
"--table-size=1000000 prepare").split()
cmd = ("sysbench oltp_read_only --threads={nthreads} --time=10 --tables=5 "
"--db-driver=mysql --mysql-user=root --mysql-socket="
+ cwd + "/mysql_test/socket run")
server_cmd = ("mysqld -h {0}/mysql_test --socket={0}/mysql_test/socket "
"--max-connections={1} --secure-file-priv=").format(cwd, multiprocessing.cpu_count())
class Benchmark_MYSQL(Benchmark):
def __init__(self):
self.name = "mysql"
self.descrition = """See sysbench documentation."""
# mysqld fails with hoard somehow
self.allocators = copy.copy(allocators)
if "Hoard" in self.allocators:
del(self.allocators["Hoard"])
self.args = {"nthreads": Benchmark.scale_threads_for_cpus(1)}
self.cmd = cmd
self.server_cmds = [server_cmd]
self.measure_cmd = ""
self.requirements = ["mysqld", "sysbench"]
super().__init__()
def prepare(self):
super().prepare()
# Setup Test Environment
if not os.path.exists("mysql_test"):
print_status("Prepare mysqld directory and database")
os.makedirs("mysql_test")
# Init database
if b"MariaDB" in subprocess.run(["mysqld", "--version"],
stdout=PIPE).stdout:
init_db_cmd = ["mysql_install_db", "--basedir=/usr",
"--datadir="+cwd+"/mysql_test"]
print_info2("MariaDB detected")
else:
init_db_cmd = ["mysqld", "-h", cwd+"/mysql_test",
"--initialize-insecure"]
print_info2("Oracle MySQL detected")
p = subprocess.run(init_db_cmd, stdout=PIPE, stderr=PIPE)
if not p.returncode == 0:
print_debug(p.stderr, file=sys.stderr)
raise Exception("Creating test DB failed with:", p.returncode)
self.start_servers()
# Create sbtest TABLE
p = subprocess.run(("mysql -u root -S "+cwd+"/mysql_test/socket").split(" "),
input=b"CREATE DATABASE sbtest;\n",
stdout=PIPE, stderr=PIPE)
if not p.returncode == 0:
print_debug("Stderr:", p.stderr, file=sys.stderr)
self.terminate_server()
raise Exception("Creating test tables failed with:", p.returncode)
print_status("Prepare test tables ...")
ret = True
p = subprocess.run(prepare_cmd, stdout=PIPE, stderr=PIPE)
if p.returncode != 0:
print_debug("Stdout:", p.stdout, file=sys.stderr)
print_debug("Stderr:", p.stderr, file=sys.stderr)
self.terminate_server()
raise Exception("Preparing test tables failed with:", p.returncode)
self.shutdown_servers()
def cleanup(self):
if os.path.exists("mysql_test"):
print_status("Delete mysqld directory")
shutil.rmtree("mysql_test", ignore_errors=True)
def process_output(self, result, stdout, stderr, allocator, perm, verbose):
result["transactions"] = re.search("transactions:\s*(\d*)", stdout).group(1)
result["queries"] = re.search("queries:\s*(\d*)", stdout).group(1)
# Latency
result["min"] = re.search("min:\s*(\d*.\d*)", stdout).group(1)
result["avg"] = re.search("avg:\s*(\d*.\d*)", stdout).group(1)
result["max"] = re.search("max:\s*(\d*.\d*)", stdout).group(1)
with open("/proc/"+str(self.servers[0].pid)+"/status", "r") as f:
for l in f.readlines():
if l.startswith("VmHWM:"):
result["rssmax"] = int(l.replace("VmHWM:", "").strip().split()[0])
break
def summary(self):
allocators = self.results["allocators"]
args = self.results["args"]
# linear plot
self.plot_single_arg("{transactions}",
xlabel='"threads"',
ylabel='"transactions"',
title='"sysbench oltp read only"',
filepostfix="l")
# normalized linear plot
ref_alloc = list(allocators)[0]
self.plot_single_arg("{transactions}",
xlabel='"threads"',
ylabel='"transactions scaled at " + scale',
title='"sysbench oltp read only"',
filepostfix="norm.l",
scale=ref_alloc)
# bar plot
self.barplot_single_arg("{transactions}",
xlabel='"threads"',
ylabel='"transactions"',
title='"sysbench oltp read only"',
filepostfix="b")
# normalized bar plot
self.barplot_single_arg("{transactions}",
xlabel='"threads"',
ylabel='"transactions scaled at " + scale',
title='"sysbench oltp read only"',
filepostfix="norm.b",
scale=ref_alloc)
# Memusage
self.barplot_single_arg("{rssmax}",
xlabel='"threads"',
ylabel='"VmHWM in kB"',
title='"Memusage sysbench oltp read only"',
filepostfix="mem")
# Colored latex table showing transactions count
d = {allocator: {} for allocator in allocators}
for perm in self.iterate_args(args=args):
for i, allocator in enumerate(allocators):
t = [float(x["transactions"]) for x in self.results[allocator][perm]]
m = np.mean(t)
s = np.std(t)/m
d[allocator][perm] = {"mean": m, "std": s}
mins = {}
maxs = {}
for perm in self.iterate_args(args=args):
cmax = None
cmin = None
for i, allocator in enumerate(allocators):
m = d[allocator][perm]["mean"]
if not cmax or m > cmax:
cmax = m
if not cmin or m < cmin:
cmin = m
maxs[perm] = cmax
mins[perm] = cmin
fname = ".".join([self.name, "transactions.tex"])
headers = [perm.nthreads for perm in self.iterate_args(args=args)]
with open(fname, "w") as f:
print("\\begin{tabular}{| l" + " l"*len(headers) + " |}", file=f)
print("Fäden / Allokator ", end=" ", file=f)
for head in headers:
print("& {}".format(head), end=" ", file=f)
print("\\\\\n\\hline", file=f)
for allocator in allocators:
print(allocator, end=" ", file=f)
for perm in self.iterate_args(args=args):
m = d[allocator][perm]["mean"]
s = "& \\textcolor{{{}}}{{{:.3f}}}"
if m == maxs[perm]:
color = "green"
elif m == mins[perm]:
color = "red"
else:
color = "black"
print(s.format(color, m), end=" ", file=f)
print("\\\\", file=f)
print("\end{tabular}", file=f)
self.export_to_csv("transactions")
self.export_to_dataref("transactions")
mysql = Benchmark_MYSQL()
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