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# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
import sys
from telemetry.value import histogram
from telemetry.value import histogram_util
from telemetry.value import scalar
from metrics import Metric
_HISTOGRAMS = [
{
'name': 'V8.MemoryExternalFragmentationTotal', 'units': 'percent',
'display_name': 'V8_MemoryExternalFragmentationTotal',
'type': histogram_util.RENDERER_HISTOGRAM,
'description': 'Total external memory fragmentation after each GC in '
'percent.',
},
{
'name': 'V8.MemoryHeapSampleTotalCommitted', 'units': 'kb',
'display_name': 'V8_MemoryHeapSampleTotalCommitted',
'type': histogram_util.RENDERER_HISTOGRAM,
'description': 'The total size of committed memory used by V8 after '
'each GC in KB.'
},
{
'name': 'V8.MemoryHeapSampleTotalUsed', 'units': 'kb',
'display_name': 'V8_MemoryHeapSampleTotalUsed',
'type': histogram_util.RENDERER_HISTOGRAM,
'description': 'The total size of live memory used by V8 after each '
'GC in KB.',
},
{
'name': 'V8.MemoryHeapSampleMaximumCommitted', 'units': 'kb',
'display_name': 'V8_MemoryHeapSampleMaximumCommitted',
'type': histogram_util.RENDERER_HISTOGRAM
},
{
'name': 'Memory.RendererUsed', 'units': 'kb',
'display_name': 'Memory_RendererUsed',
'type': histogram_util.RENDERER_HISTOGRAM
},
{
'name': 'Memory.BrowserUsed', 'units': 'kb',
'display_name': 'Memory_BrowserUsed',
'type': histogram_util.BROWSER_HISTOGRAM
},
]
class MemoryMetric(Metric):
"""MemoryMetric gathers memory statistics from the browser object.
This includes both per-page histogram stats, most about javascript
memory usage, and overall memory stats from the system for the whole
test run."""
def __init__(self, browser):
super(MemoryMetric, self).__init__()
self._browser = browser
start_memory_stats = self._browser.memory_stats
self._start_commit_charge = None
if 'SystemCommitCharge' in start_memory_stats:
self._start_commit_charge = start_memory_stats['SystemCommitCharge']
self._memory_stats = None
self._histogram_start = dict()
self._histogram_delta = dict()
self._started = False
@classmethod
def CustomizeBrowserOptions(cls, options):
options.AppendExtraBrowserArgs([
'--enable-stats-collection-bindings',
# For a hard-coded set of Google pages (such as GMail), we produce
# custom memory histograms (V8.Something_gmail) instead of the generic
# histograms (V8.Something), if we detect that a renderer is only
# rendering this page and no other pages. For this test, we need to
# disable histogram customizing, so that we get the same generic
# histograms produced for all pages.
'--disable-histogram-customizer'
])
def Start(self, page, tab):
"""Start the per-page preparation for this metric.
Here, this consists of recording the start value of all the histograms.
"""
if not self._browser.supports_memory_metrics:
logging.warning('Memory metrics not supported.')
return
self._started = True
for h in _HISTOGRAMS:
histogram_data = histogram_util.GetHistogram(
h['type'], h['name'], tab)
# Histogram data may not be available
if not histogram_data:
continue
self._histogram_start[h['name']] = histogram_data
def Stop(self, page, tab):
"""Prepare the results for this page.
The results are the differences between the current histogram values
and the values when Start() was called.
"""
if not self._browser.supports_memory_metrics:
return
assert self._started, 'Must call Start() first'
for h in _HISTOGRAMS:
# Histogram data may not be available
if h['name'] not in self._histogram_start:
continue
histogram_data = histogram_util.GetHistogram(
h['type'], h['name'], tab)
self._histogram_delta[h['name']] = histogram_util.SubtractHistogram(
histogram_data, self._histogram_start[h['name']])
# Optional argument trace_name is not in base class Metric.
# pylint: disable=arguments-differ
def AddResults(self, tab, results, trace_name=None):
"""Add results for this page to the results object."""
if not self._browser.supports_memory_metrics:
return
assert self._histogram_delta, 'Must call Stop() first'
for h in _HISTOGRAMS:
# Histogram data may not be available
if h['name'] not in self._histogram_start:
continue
results.AddValue(histogram.HistogramValue(
results.current_page, h['display_name'], h['units'],
raw_value_json=self._histogram_delta[h['name']], important=False,
description=h.get('description')))
self._memory_stats = self._browser.memory_stats
if not self._memory_stats['Browser']:
return
AddResultsForProcesses(results, self._memory_stats,
metric_trace_name=trace_name)
if self._start_commit_charge:
end_commit_charge = self._memory_stats['SystemCommitCharge']
commit_charge_difference = end_commit_charge - self._start_commit_charge
results.AddValue(scalar.ScalarValue(
results.current_page,
'commit_charge.' + (trace_name or 'commit_charge'),
'kb', commit_charge_difference, important=False,
description='System commit charge (committed memory pages).'))
results.AddValue(scalar.ScalarValue(
results.current_page, 'processes.' + (trace_name or 'processes'),
'count', self._memory_stats['ProcessCount'], important=False,
description='Number of processes used by Chrome.'))
def AddResultsForProcesses(results, memory_stats, chart_trace_name='final',
metric_trace_name=None,
exclude_metrics=None):
"""Adds memory stats for browser, renderer and gpu processes.
Args:
results: A telemetry.results.PageTestResults object.
memory_stats: System memory stats collected.
chart_trace_name: Trace to identify memory metrics. Default is 'final'.
metric_trace_name: Trace to identify the metric results per test page.
exclude_metrics: List of memory metrics to exclude from results,
e.g. VM, WorkingSetSize, etc.
"""
metric = 'resident_set_size'
if sys.platform == 'win32':
metric = 'working_set'
exclude_metrics = exclude_metrics or {}
def AddResultsForProcessTypes(process_types_memory, process_type_trace):
"""Add all results for a given set of process types.
Args:
process_types_memory: A list of process types, e.g. Browser, 'Renderer'.
process_type_trace: The name of this set of process types in the output.
"""
def AddResult(value_name_memory, value_name_trace, description):
"""Add a result for a given statistic.
Args:
value_name_memory: Name of some statistic, e.g. VM, WorkingSetSize.
value_name_trace: Name of this statistic to be used in the output.
"""
if value_name_memory in exclude_metrics:
return
if len(process_types_memory) > 1 and value_name_memory.endswith('Peak'):
return
values = []
for process_type_memory in process_types_memory:
stats = memory_stats[process_type_memory]
if value_name_memory in stats:
values.append(stats[value_name_memory])
if values:
if metric_trace_name:
current_trace = '%s_%s' % (metric_trace_name, process_type_trace)
chart_name = value_name_trace
else:
current_trace = '%s_%s' % (value_name_trace, process_type_trace)
chart_name = current_trace
results.AddValue(scalar.ScalarValue(
results.current_page, '%s.%s' % (chart_name, current_trace), 'kb',
sum(values) / 1024, important=False, description=description))
AddResult('VM', 'vm_%s_size' % chart_trace_name,
'Virtual Memory Size (address space allocated).')
AddResult('WorkingSetSize', 'vm_%s_%s_size' % (metric, chart_trace_name),
'Working Set Size (Windows) or Resident Set Size (other '
'platforms).')
AddResult('PrivateDirty', 'vm_private_dirty_%s' % chart_trace_name,
'Private Dirty is basically the amount of RAM inside the '
'process that can not be paged to disk (it is not backed by the '
'same data on disk), and is not shared with any other '
'processes. Another way to look at this is the RAM that will '
'become available to the system when that process goes away '
'(and probably quickly subsumed into caches and other uses of '
'it).')
AddResult('ProportionalSetSize',
'vm_proportional_set_size_%s' % chart_trace_name,
'The Proportional Set Size (PSS) number is a metric the kernel '
'computes that takes into account memory sharing -- basically '
'each page of RAM in a process is scaled by a ratio of the '
'number of other processes also using that page. This way you '
'can (in theory) add up the PSS across all processes to see '
'the total RAM they are using, and compare PSS between '
'processes to get a rough idea of their relative weight.')
AddResult('SharedDirty', 'vm_shared_dirty_%s' % chart_trace_name,
'Shared Dirty is the amount of RAM outside the process that can '
'not be paged to disk, and is shared with other processes.')
AddResult('VMPeak', 'vm_peak_size',
'The peak Virtual Memory Size (address space allocated) usage '
'achieved by the * process.')
AddResult('WorkingSetSizePeak', '%s_peak_size' % metric,
'Peak Working Set Size.')
AddResultsForProcessTypes(['Browser'], 'browser')
AddResultsForProcessTypes(['Renderer'], 'renderer')
AddResultsForProcessTypes(['Gpu'], 'gpu')
AddResultsForProcessTypes(['Browser', 'Renderer', 'Gpu'], 'total')