Include coarse CPU and Memory use in stats callbacks.
This requires the psutil module, and is still opt-in based on the report_stats config option.
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UPGRADE.rst
12
UPGRADE.rst
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@ -48,6 +48,18 @@ returned by the Client-Server API:
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# configured on port 443.
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curl -kv https://<host.name>/_matrix/client/versions 2>&1 | grep "Server:"
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Upgrading to $NEXT_VERSION
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====================
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This release expands the anonymous usage stats sent if the opt-in
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``report_stats`` configuration is set to ``true``. We now capture RSS memory
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and cpu use at a very coarse level. This requires administrators to install
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the optional ``psutil`` python module.
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We would appreciate it if you could assist by ensuring this module is available
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and ``report_stats`` is enabled. This will let us see if performance changes to
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synapse are having an impact to the general community.
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Upgrading to v0.15.0
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====================
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@ -401,6 +401,7 @@ def run(hs):
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start_time = clock.time()
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stats = {}
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stats_process = None
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@defer.inlineCallbacks
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def phone_stats_home():
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@ -427,6 +428,10 @@ def run(hs):
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daily_sent_messages = yield hs.get_datastore().count_daily_sent_messages()
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stats["daily_sent_messages"] = daily_sent_messages
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if stats_process is not None:
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with stats_process.oneshot():
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stats["memory_rss"] = stats_process.memory_info().rss
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stats["cpu_average"] = int(stats_process.cpu_info(interval=None))
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logger.info("Reporting stats to matrix.org: %s" % (stats,))
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try:
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@ -438,6 +443,21 @@ def run(hs):
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logger.warn("Error reporting stats: %s", e)
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if hs.config.report_stats:
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try:
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import psutil
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stats_process = psutil.Process()
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# Ensure we can fetch both, and make the initial request for cpu_percent
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# so the next request will use this as the initial point.
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stats_process.memory_info().rss
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stats_process.cpu_percent(interval=None)
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except (ImportError, AttributeError):
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logger.warn(
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"report_stats enabled but psutil is not installed or incorrect version."
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" Disabling reporting of memory/cpu stats."
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" Ensuring psutil is available will help matrix track performance changes across releases."
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)
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stats_process = None
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logger.info("Scheduling stats reporting for 3 hour intervals")
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clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000)
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