qemu-e2k/tests/migration/guestperf/plot.py
Gan Qixin 3a645d364c tests/migration: Fix LGPL information in the file headers
There never was a "Lesser GPL version 2.0", It is either "GPL version 2.0"
or "Lesser GPL version 2.1". This patch replaces all "Lesser GPL version 2.0"
with "Lesser GPL version 2.1" in the tests/migration folder.

Signed-off-by: Gan Qixin <ganqixin@huawei.com>
Message-Id: <20201110184223.549499-2-ganqixin@huawei.com>
Signed-off-by: Thomas Huth <thuth@redhat.com>
2020-11-15 17:04:40 +01:00

624 lines
19 KiB
Python

#
# Migration test graph plotting
#
# Copyright (c) 2016 Red Hat, Inc.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, see <http://www.gnu.org/licenses/>.
#
import sys
class Plot(object):
# Generated using
# http://tools.medialab.sciences-po.fr/iwanthue/
COLORS = ["#CD54D0",
"#79D94C",
"#7470CD",
"#D2D251",
"#863D79",
"#76DDA6",
"#D4467B",
"#61923D",
"#CB9CCA",
"#D98F36",
"#8CC8DA",
"#CE4831",
"#5E7693",
"#9B803F",
"#412F4C",
"#CECBA6",
"#6D3229",
"#598B73",
"#C8827C",
"#394427"]
def __init__(self,
reports,
migration_iters,
total_guest_cpu,
split_guest_cpu,
qemu_cpu,
vcpu_cpu):
self._reports = reports
self._migration_iters = migration_iters
self._total_guest_cpu = total_guest_cpu
self._split_guest_cpu = split_guest_cpu
self._qemu_cpu = qemu_cpu
self._vcpu_cpu = vcpu_cpu
self._color_idx = 0
def _next_color(self):
color = self.COLORS[self._color_idx]
self._color_idx += 1
if self._color_idx >= len(self.COLORS):
self._color_idx = 0
return color
def _get_progress_label(self, progress):
if progress:
return "\n\n" + "\n".join(
["Status: %s" % progress._status,
"Iteration: %d" % progress._ram._iterations,
"Throttle: %02d%%" % progress._throttle_pcent,
"Dirty rate: %dMB/s" % (progress._ram._dirty_rate_pps * 4 / 1024.0)])
else:
return "\n\n" + "\n".join(
["Status: %s" % "none",
"Iteration: %d" % 0])
def _find_start_time(self, report):
startqemu = report._qemu_timings._records[0]._timestamp
startguest = report._guest_timings._records[0]._timestamp
if startqemu < startguest:
return startqemu
else:
return stasrtguest
def _get_guest_max_value(self, report):
maxvalue = 0
for record in report._guest_timings._records:
if record._value > maxvalue:
maxvalue = record._value
return maxvalue
def _get_qemu_max_value(self, report):
maxvalue = 0
oldvalue = None
oldtime = None
for record in report._qemu_timings._records:
if oldvalue is not None:
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
else:
util = 0
oldvalue = record._value
oldtime = record._timestamp
if util > maxvalue:
maxvalue = util
return maxvalue
def _get_total_guest_cpu_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
progress_idx = -1
for record in report._guest_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
xaxis.append(record._timestamp - starttime)
yaxis.append(record._value)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
name="Guest PIDs: %s" % report._scenario._name,
mode='lines',
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=labels)
def _get_split_guest_cpu_graphs(self, report, starttime):
threads = {}
for record in report._guest_timings._records:
if record._tid in threads:
continue
threads[record._tid] = {
"xaxis": [],
"yaxis": [],
"labels": [],
}
progress_idx = -1
for record in report._guest_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
threads[record._tid]["xaxis"].append(record._timestamp - starttime)
threads[record._tid]["yaxis"].append(record._value)
threads[record._tid]["labels"].append(self._get_progress_label(progress))
graphs = []
from plotly import graph_objs as go
for tid in threads.keys():
graphs.append(
go.Scatter(x=threads[tid]["xaxis"],
y=threads[tid]["yaxis"],
name="PID %s: %s" % (tid, report._scenario._name),
mode="lines",
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=threads[tid]["labels"]))
return graphs
def _get_migration_iters_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
for progress in report._progress_history:
xaxis.append(progress._now - starttime)
yaxis.append(0)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
text=labels,
name="Migration iterations",
mode="markers",
marker={
"color": self._next_color(),
"symbol": "star",
"size": 5
})
def _get_qemu_cpu_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
progress_idx = -1
first = report._qemu_timings._records[0]
abstimestamps = [first._timestamp]
absvalues = [first._value]
for record in report._qemu_timings._records[1:]:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
oldvalue = absvalues[-1]
oldtime = abstimestamps[-1]
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
abstimestamps.append(record._timestamp)
absvalues.append(record._value)
xaxis.append(record._timestamp - starttime)
yaxis.append(util)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
yaxis="y2",
name="QEMU: %s" % report._scenario._name,
mode='lines',
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=labels)
def _get_vcpu_cpu_graphs(self, report, starttime):
threads = {}
for record in report._vcpu_timings._records:
if record._tid in threads:
continue
threads[record._tid] = {
"xaxis": [],
"yaxis": [],
"labels": [],
"absvalue": [record._value],
"abstime": [record._timestamp],
}
progress_idx = -1
for record in report._vcpu_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
oldvalue = threads[record._tid]["absvalue"][-1]
oldtime = threads[record._tid]["abstime"][-1]
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
if util > 100:
util = 100
threads[record._tid]["absvalue"].append(record._value)
threads[record._tid]["abstime"].append(record._timestamp)
threads[record._tid]["xaxis"].append(record._timestamp - starttime)
threads[record._tid]["yaxis"].append(util)
threads[record._tid]["labels"].append(self._get_progress_label(progress))
graphs = []
from plotly import graph_objs as go
for tid in threads.keys():
graphs.append(
go.Scatter(x=threads[tid]["xaxis"],
y=threads[tid]["yaxis"],
yaxis="y2",
name="VCPU %s: %s" % (tid, report._scenario._name),
mode="lines",
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=threads[tid]["labels"]))
return graphs
def _generate_chart_report(self, report):
graphs = []
starttime = self._find_start_time(report)
if self._total_guest_cpu:
graphs.append(self._get_total_guest_cpu_graph(report, starttime))
if self._split_guest_cpu:
graphs.extend(self._get_split_guest_cpu_graphs(report, starttime))
if self._qemu_cpu:
graphs.append(self._get_qemu_cpu_graph(report, starttime))
if self._vcpu_cpu:
graphs.extend(self._get_vcpu_cpu_graphs(report, starttime))
if self._migration_iters:
graphs.append(self._get_migration_iters_graph(report, starttime))
return graphs
def _generate_annotation(self, starttime, progress):
return {
"text": progress._status,
"x": progress._now - starttime,
"y": 10,
}
def _generate_annotations(self, report):
starttime = self._find_start_time(report)
annotations = {}
started = False
for progress in report._progress_history:
if progress._status == "setup":
continue
if progress._status not in annotations:
annotations[progress._status] = self._generate_annotation(starttime, progress)
return annotations.values()
def _generate_chart(self):
from plotly.offline import plot
from plotly import graph_objs as go
graphs = []
yaxismax = 0
yaxismax2 = 0
for report in self._reports:
graphs.extend(self._generate_chart_report(report))
maxvalue = self._get_guest_max_value(report)
if maxvalue > yaxismax:
yaxismax = maxvalue
maxvalue = self._get_qemu_max_value(report)
if maxvalue > yaxismax2:
yaxismax2 = maxvalue
yaxismax += 100
if not self._qemu_cpu:
yaxismax2 = 110
yaxismax2 += 10
annotations = []
if self._migration_iters:
for report in self._reports:
annotations.extend(self._generate_annotations(report))
layout = go.Layout(title="Migration comparison",
xaxis={
"title": "Wallclock time (secs)",
"showgrid": False,
},
yaxis={
"title": "Memory update speed (ms/GB)",
"showgrid": False,
"range": [0, yaxismax],
},
yaxis2={
"title": "Hostutilization (%)",
"overlaying": "y",
"side": "right",
"range": [0, yaxismax2],
"showgrid": False,
},
annotations=annotations)
figure = go.Figure(data=graphs, layout=layout)
return plot(figure,
show_link=False,
include_plotlyjs=False,
output_type="div")
def _generate_report(self):
pieces = []
for report in self._reports:
pieces.append("""
<h3>Report %s</h3>
<table>
""" % report._scenario._name)
pieces.append("""
<tr class="subhead">
<th colspan="2">Test config</th>
</tr>
<tr>
<th>Emulator:</th>
<td>%s</td>
</tr>
<tr>
<th>Kernel:</th>
<td>%s</td>
</tr>
<tr>
<th>Ramdisk:</th>
<td>%s</td>
</tr>
<tr>
<th>Transport:</th>
<td>%s</td>
</tr>
<tr>
<th>Host:</th>
<td>%s</td>
</tr>
""" % (report._binary, report._kernel,
report._initrd, report._transport, report._dst_host))
hardware = report._hardware
pieces.append("""
<tr class="subhead">
<th colspan="2">Hardware config</th>
</tr>
<tr>
<th>CPUs:</th>
<td>%d</td>
</tr>
<tr>
<th>RAM:</th>
<td>%d GB</td>
</tr>
<tr>
<th>Source CPU bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Source RAM bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Dest CPU bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Dest RAM bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Preallocate RAM:</th>
<td>%s</td>
</tr>
<tr>
<th>Locked RAM:</th>
<td>%s</td>
</tr>
<tr>
<th>Huge pages:</th>
<td>%s</td>
</tr>
""" % (hardware._cpus, hardware._mem,
",".join(hardware._src_cpu_bind),
",".join(hardware._src_mem_bind),
",".join(hardware._dst_cpu_bind),
",".join(hardware._dst_mem_bind),
"yes" if hardware._prealloc_pages else "no",
"yes" if hardware._locked_pages else "no",
"yes" if hardware._huge_pages else "no"))
scenario = report._scenario
pieces.append("""
<tr class="subhead">
<th colspan="2">Scenario config</th>
</tr>
<tr>
<th>Max downtime:</th>
<td>%d milli-sec</td>
</tr>
<tr>
<th>Max bandwidth:</th>
<td>%d MB/sec</td>
</tr>
<tr>
<th>Max iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Max time:</th>
<td>%d secs</td>
</tr>
<tr>
<th>Pause:</th>
<td>%s</td>
</tr>
<tr>
<th>Pause iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Post-copy:</th>
<td>%s</td>
</tr>
<tr>
<th>Post-copy iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Auto-converge:</th>
<td>%s</td>
</tr>
<tr>
<th>Auto-converge iters:</th>
<td>%d</td>
</tr>
<tr>
<th>MT compression:</th>
<td>%s</td>
</tr>
<tr>
<th>MT compression threads:</th>
<td>%d</td>
</tr>
<tr>
<th>XBZRLE compression:</th>
<td>%s</td>
</tr>
<tr>
<th>XBZRLE compression cache:</th>
<td>%d%% of RAM</td>
</tr>
""" % (scenario._downtime, scenario._bandwidth,
scenario._max_iters, scenario._max_time,
"yes" if scenario._pause else "no", scenario._pause_iters,
"yes" if scenario._post_copy else "no", scenario._post_copy_iters,
"yes" if scenario._auto_converge else "no", scenario._auto_converge_step,
"yes" if scenario._compression_mt else "no", scenario._compression_mt_threads,
"yes" if scenario._compression_xbzrle else "no", scenario._compression_xbzrle_cache))
pieces.append("""
</table>
""")
return "\n".join(pieces)
def _generate_style(self):
return """
#report table tr th {
text-align: right;
}
#report table tr td {
text-align: left;
}
#report table tr.subhead th {
background: rgb(192, 192, 192);
text-align: center;
}
"""
def generate_html(self, fh):
print("""<html>
<head>
<script type="text/javascript" src="plotly.min.js">
</script>
<style type="text/css">
%s
</style>
<title>Migration report</title>
</head>
<body>
<h1>Migration report</h1>
<h2>Chart summary</h2>
<div id="chart">
""" % self._generate_style(), file=fh)
print(self._generate_chart(), file=fh)
print("""
</div>
<h2>Report details</h2>
<div id="report">
""", file=fh)
print(self._generate_report(), file=fh)
print("""
</div>
</body>
</html>
""", file=fh)
def generate(self, filename):
if filename is None:
self.generate_html(sys.stdout)
else:
with open(filename, "w") as fh:
self.generate_html(fh)