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import multiprocessing
import os
import re
import shutil
import subprocess
from subprocess import PIPE
import sys
from src.benchmark import Benchmark
from src.util import print_status, print_debug, print_info2
TESTDIR = os.path.join(os.getcwd(), "mysql_test")
MYSQL_USER = "fischerling"
RUN_TIME = 10
TABLES = 5
PREPARE_CMD = (f"sysbench oltp_read_only --db-driver=mysql --mysql-user={MYSQL_USER} "
f"--mysql-socket={TESTDIR}/socket --tables={TABLES} --table-size=1000000 prepare")
CMD = (f"sysbench oltp_read_only --threads={{nthreads}} --time={RUN_TIME} --tables={TABLES} "
f"--db-driver=mysql --mysql-user={MYSQL_USER} --mysql-socket={TESTDIR}/socket run")
SERVER_CMD = (f"mysqld --no-defaults -h {TESTDIR} --socket={TESTDIR}/socket --port=123456 "
f"--max-connections={multiprocessing.cpu_count()} --secure-file-priv=")
class BenchmarkMYSQL(Benchmark):
"""Mysql bechmark definition
See sysbench documentation for more details about the oltp_read_only benchmark
"""
def __init__(self):
self.name = "mysql"
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__()
self.results["facts"]["runtime [s]"] = RUN_TIME
self.results["facts"]["sysbench"] = subprocess.run(["sysbench", "--version"],
stdout=PIPE,
universal_newlines=True).stdout[:-1]
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
self.results["facts"]["mysqld"] = subprocess.run(["mysqld", "--version"],
stdout=PIPE,
universal_newlines=True).stdout[:-1]
if "MariaDB" in self.results["facts"]["mysqld"]:
init_db_cmd = ["mysql_install_db", "--basedir=/usr",
f"--datadir={TESTDIR}"]
print_info2("MariaDB detected")
else:
init_db_cmd = ["mysqld", "-h", f"{TESTDIR}",
"--initialize-insecure"]
print_info2("Oracle MySQL detected")
p = subprocess.run(init_db_cmd, stdout=PIPE, stderr=PIPE)
if not p.returncode == 0:
print_debug(init_db_cmd)
print_debug("Stdout:", p.stdout, file=sys.stdout)
print_debug("Stderr:", p.stderr, file=sys.stderr)
raise Exception("Creating test DB failed with:", p.returncode)
self.start_servers()
# Create sbtest TABLE
p = subprocess.run(f"mysql -u {MYSQL_USER} -S {TESTDIR}/socket".split(),
input=b"CREATE DATABASE sbtest;\n",
stdout=PIPE, stderr=PIPE)
if p.returncode != 0:
print_debug("Stderr:", p.stderr, file=sys.stderr)
raise Exception("Creating test tables failed with:", p.returncode)
print_status("Prepare test tables ...")
p = subprocess.run(PREPARE_CMD.split(), stdout=PIPE, stderr=PIPE)
if p.returncode != 0:
print_debug("Stdout:", p.stdout, file=sys.stderr)
print_debug("Stderr:", p.stderr, file=sys.stderr)
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 allocator in allocators:
transactions = [float(measure["transactions"])
for measure in self.results[allocator][perm]]
mean = np.mean(transactions)
std = np.std(transactions)/mean
d[allocator][perm] = {"mean": mean, "std": std}
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_stats_to_csv("transactions")
self.export_stats_to_dataref("transactions")
mysql = BenchmarkMYSQL()
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