[CalendarServer-changes] [11831] CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/ performance/loadtest
source_changes at macosforge.org
source_changes at macosforge.org
Wed Mar 12 11:25:18 PDT 2014
Revision: 11831
http://trac.calendarserver.org//changeset/11831
Author: cdaboo at apple.com
Date: 2013-10-21 19:21:03 -0700 (Mon, 21 Oct 2013)
Log Message:
-----------
Allow client config to be set via a separate plist file (which can also override the arrival interval). Print the
stats socket data for the last 5 minutes averaged data from the server in the final report.
Modified Paths:
--------------
CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.dist.plist
CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.plist
CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/population.py
CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/sim.py
Added Paths:
-----------
CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/clients.plist
Added: CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/clients.plist
===================================================================
--- CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/clients.plist (rev 0)
+++ CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/clients.plist 2013-10-22 02:21:03 UTC (rev 11831)
@@ -0,0 +1,445 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ Copyright (c) 2011-2013 Apple Inc. All rights reserved.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+ -->
+
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+ <dict>
+ <!-- Define the kinds of software and user behavior the load simulation
+ will simulate. -->
+ <key>clients</key>
+
+ <!-- Have as many different kinds of software and user behavior configurations
+ as you want. Each is a dict -->
+ <array>
+
+ <dict>
+
+ <!-- Here is a OS X client simulator. -->
+ <key>software</key>
+ <string>contrib.performance.loadtest.ical.OS_X_10_7</string>
+
+ <!-- Arguments to use to initialize the OS_X_10_7 instance. -->
+ <key>params</key>
+ <dict>
+ <!-- Name that appears in logs. -->
+ <key>title</key>
+ <string>10.7</string>
+
+ <!-- OS_X_10_7 can poll the calendar home at some interval. This is
+ in seconds. -->
+ <key>calendarHomePollInterval</key>
+ <integer>30</integer>
+
+ <!-- If the server advertises xmpp push, OS_X_10_7 can wait for notifications
+ about calendar home changes instead of polling for them periodically. If
+ this option is true, then look for the server advertisement for xmpp push
+ and use it if possible. Still fall back to polling if there is no xmpp push
+ advertised. -->
+ <key>supportPush</key>
+ <false />
+
+ <key>supportAmpPush</key>
+ <true/>
+ <key>ampPushHost</key>
+ <string>localhost</string>
+ <key>ampPushPort</key>
+ <integer>62311</integer>
+ </dict>
+
+ <!-- The profiles define certain types of user behavior on top of the
+ client software being simulated. -->
+ <key>profiles</key>
+ <array>
+
+ <!-- First an event-creating profile, which will periodically create
+ new events at a random time on a random calendar. -->
+ <dict>
+ <key>class</key>
+ <string>contrib.performance.loadtest.profiles.Eventer</string>
+
+ <key>params</key>
+ <dict>
+ <key>enabled</key>
+ <true/>
+
+ <!-- Define the interval (in seconds) at which this profile will use
+ its client to create a new event. -->
+ <key>interval</key>
+ <integer>60</integer>
+
+ <!-- Define how start times (DTSTART) for the randomly generated events
+ will be selected. This is an example of a "Distribution" parameter. The value
+ for most "Distribution" parameters are interchangeable and extensible. -->
+ <key>eventStartDistribution</key>
+ <dict>
+
+ <!-- This distribution is pretty specialized. It produces timestamps
+ in the near future, limited to certain days of the week and certain hours
+ of the day. -->
+ <key>type</key>
+ <string>contrib.performance.stats.WorkDistribution</string>
+
+ <key>params</key>
+ <dict>
+ <!-- These are the days of the week the distribution will use. -->
+ <key>daysOfWeek</key>
+ <array>
+ <string>mon</string>
+ <string>tue</string>
+ <string>wed</string>
+ <string>thu</string>
+ <string>fri</string>
+ </array>
+
+ <!-- The earliest hour of a day at which an event might be scheduled. -->
+ <key>beginHour</key>
+ <integer>8</integer>
+
+ <!-- And the latest hour of a day (at which an event will be scheduled
+ to begin!). -->
+ <key>endHour</key>
+ <integer>16</integer>
+
+ <!-- The timezone in which the event is scheduled. (XXX Does this
+ really work right?) -->
+ <key>tzname</key>
+ <string>America/Los_Angeles</string>
+ </dict>
+ </dict>
+
+ <!-- Define how recurrences are created. -->
+ <key>recurrenceDistribution</key>
+ <dict>
+
+ <!-- This distribution is pretty specialized. We have a fixed set of
+ RRULEs defined for this distribution and pick each based on a
+ weight. -->
+ <key>type</key>
+ <string>contrib.performance.stats.RecurrenceDistribution</string>
+
+ <key>params</key>
+ <dict>
+ <!-- False to disable RRULEs -->
+ <key>allowRecurrence</key>
+ <true/>
+
+ <!-- These are the weights for the specific set of RRULEs. -->
+ <key>weights</key>
+ <dict>
+ <!-- Half of all events will be non-recurring -->
+ <key>none</key>
+ <integer>50</integer>
+
+ <!-- Daily and weekly are pretty common -->
+ <key>daily</key>
+ <integer>10</integer>
+ <key>weekly</key>
+ <integer>20</integer>
+
+ <!-- Monthly, yearly, daily & weekly limit not so common -->
+ <key>monthly</key>
+ <integer>2</integer>
+ <key>yearly</key>
+ <integer>1</integer>
+ <key>dailylimit</key>
+ <integer>2</integer>
+ <key>weeklylimit</key>
+ <integer>5</integer>
+
+ <!-- Work days pretty common -->
+ <key>workdays</key>
+ <integer>10</integer>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+
+ <!-- This profile invites some number of new attendees to new events. -->
+ <dict>
+ <key>class</key>
+ <string>contrib.performance.loadtest.profiles.RealisticInviter</string>
+
+ <key>params</key>
+ <dict>
+ <key>enabled</key>
+ <true/>
+
+ <!-- Define the frequency at which new invitations will be sent out. -->
+ <key>sendInvitationDistribution</key>
+ <dict>
+ <key>type</key>
+ <string>contrib.performance.stats.NormalDistribution</string>
+ <key>params</key>
+ <dict>
+ <!-- mu gives the mean of the normal distribution (in seconds). -->
+ <key>mu</key>
+ <integer>60</integer>
+
+ <!-- and sigma gives its standard deviation. -->
+ <key>sigma</key>
+ <integer>5</integer>
+ </dict>
+ </dict>
+
+ <!-- Define the distribution of who will be invited to an event.
+
+ When inviteeClumping is turned on each invitee is based on a sample of
+ users "close to" the organizer based on account index. If the clumping
+ is too "tight" for the requested number of attendees, then invites for
+ those larger numbers will simply fail (the sim will report that situation).
+
+ When inviteeClumping is off invitees will be sampled across an entire
+ range of account indexes. In this case the distribution ought to be a
+ UniformIntegerDistribution with min=0 and max set to the number of accounts.
+ -->
+ <key>inviteeDistribution</key>
+ <dict>
+ <key>type</key>
+ <string>contrib.performance.stats.UniformIntegerDistribution</string>
+ <key>params</key>
+ <dict>
+ <!-- The minimum value (inclusive) of the uniform distribution. -->
+ <key>min</key>
+ <integer>0</integer>
+ <!-- The maximum value (exclusive) of the uniform distribution. -->
+ <key>max</key>
+ <integer>99</integer>
+ </dict>
+ </dict>
+
+ <key>inviteeClumping</key>
+ <true/>
+
+ <!-- Define the distribution of how many attendees will be invited to an event.
+
+ LogNormal is the best fit to observed data.
+
+
+ For LogNormal "mode" is the peak, "mean" is the mean value. For invites,
+ mode should typically be 1, and mean whatever matches the user behavior.
+ Our typical mean is 6.
+ -->
+ <key>inviteeCountDistribution</key>
+ <dict>
+ <key>type</key>
+ <string>contrib.performance.stats.LogNormalDistribution</string>
+ <key>params</key>
+ <dict>
+ <!-- mode - peak-->
+ <key>mode</key>
+ <integer>1</integer>
+ <!-- mean - average-->
+ <key>median</key>
+ <integer>6</integer>
+ <!-- maximum -->
+ <key>maximum</key>
+ <real>60</real>
+ </dict>
+ </dict>
+
+ <!-- Define how start times (DTSTART) for the randomly generated events
+ will be selected. This is an example of a "Distribution" parameter. The value
+ for most "Distribution" parameters are interchangeable and extensible. -->
+ <key>eventStartDistribution</key>
+ <dict>
+
+ <!-- This distribution is pretty specialized. It produces timestamps
+ in the near future, limited to certain days of the week and certain hours
+ of the day. -->
+ <key>type</key>
+ <string>contrib.performance.stats.WorkDistribution</string>
+
+ <key>params</key>
+ <dict>
+ <!-- These are the days of the week the distribution will use. -->
+ <key>daysOfWeek</key>
+ <array>
+ <string>mon</string>
+ <string>tue</string>
+ <string>wed</string>
+ <string>thu</string>
+ <string>fri</string>
+ </array>
+
+ <!-- The earliest hour of a day at which an event might be scheduled. -->
+ <key>beginHour</key>
+ <integer>8</integer>
+
+ <!-- And the latest hour of a day (at which an event will be scheduled
+ to begin!). -->
+ <key>endHour</key>
+ <integer>16</integer>
+
+ <!-- The timezone in which the event is scheduled. (XXX Does this
+ really work right?) -->
+ <key>tzname</key>
+ <string>America/Los_Angeles</string>
+ </dict>
+ </dict>
+
+ <!-- Define how recurrences are created. -->
+ <key>recurrenceDistribution</key>
+ <dict>
+
+ <!-- This distribution is pretty specialized. We have a fixed set of
+ RRULEs defined for this distribution and pick each based on a
+ weight. -->
+ <key>type</key>
+ <string>contrib.performance.stats.RecurrenceDistribution</string>
+
+ <key>params</key>
+ <dict>
+ <!-- False to disable RRULEs -->
+ <key>allowRecurrence</key>
+ <true/>
+
+ <!-- These are the weights for the specific set of RRULEs. -->
+ <key>weights</key>
+ <dict>
+ <!-- Half of all events will be non-recurring -->
+ <key>none</key>
+ <integer>50</integer>
+
+ <!-- Daily and weekly are pretty common -->
+ <key>daily</key>
+ <integer>10</integer>
+ <key>weekly</key>
+ <integer>20</integer>
+
+ <!-- Monthly, yearly, daily & weekly limit not so common -->
+ <key>monthly</key>
+ <integer>2</integer>
+ <key>yearly</key>
+ <integer>1</integer>
+ <key>dailylimit</key>
+ <integer>2</integer>
+ <key>weeklylimit</key>
+ <integer>5</integer>
+
+ <!-- Work days pretty common -->
+ <key>workdays</key>
+ <integer>10</integer>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+
+ <!-- This profile accepts invitations to events, handles cancels, and
+ handles replies received. -->
+ <dict>
+ <key>class</key>
+ <string>contrib.performance.loadtest.profiles.Accepter</string>
+
+ <key>params</key>
+ <dict>
+ <key>enabled</key>
+ <true/>
+
+ <!-- Define how long to wait after seeing a new invitation before
+ accepting it.
+
+ For LogNormal "mode" is the peak, "median" is the 50% cummulative value
+ (i.e., half of the user have accepted by that time).
+ -->
+ <key>acceptDelayDistribution</key>
+ <dict>
+ <key>type</key>
+ <string>contrib.performance.stats.LogNormalDistribution</string>
+ <key>params</key>
+ <dict>
+ <!-- mode - peak-->
+ <key>mode</key>
+ <integer>300</integer>
+ <!-- median - 50% done-->
+ <key>median</key>
+ <integer>1800</integer>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+
+ <!-- A task-creating profile, which will periodically create
+ new tasks at a random time on a random calendar. -->
+ <dict>
+ <key>class</key>
+ <string>contrib.performance.loadtest.profiles.Tasker</string>
+
+ <key>params</key>
+ <dict>
+ <key>enabled</key>
+ <true/>
+
+ <!-- Define the interval (in seconds) at which this profile will use
+ its client to create a new task. -->
+ <key>interval</key>
+ <integer>300</integer>
+
+ <!-- Define how due times (DUE) for the randomly generated tasks
+ will be selected. This is an example of a "Distribution" parameter. The value
+ for most "Distribution" parameters are interchangeable and extensible. -->
+ <key>taskDueDistribution</key>
+ <dict>
+
+ <!-- This distribution is pretty specialized. It produces timestamps
+ in the near future, limited to certain days of the week and certain hours
+ of the day. -->
+ <key>type</key>
+ <string>contrib.performance.stats.WorkDistribution</string>
+
+ <key>params</key>
+ <dict>
+ <!-- These are the days of the week the distribution will use. -->
+ <key>daysOfWeek</key>
+ <array>
+ <string>mon</string>
+ <string>tue</string>
+ <string>wed</string>
+ <string>thu</string>
+ <string>fri</string>
+ </array>
+
+ <!-- The earliest hour of a day at which an event might be scheduled. -->
+ <key>beginHour</key>
+ <integer>8</integer>
+
+ <!-- And the latest hour of a day (at which an event will be scheduled
+ to begin!). -->
+ <key>endHour</key>
+ <integer>16</integer>
+
+ <!-- The timezone in which the event is scheduled. (XXX Does this
+ really work right?) -->
+ <key>tzname</key>
+ <string>America/Los_Angeles</string>
+ </dict>
+ </dict>
+ </dict>
+ </dict>
+
+ </array>
+
+ <!-- Determine the frequency at which this client configuration will
+ appear in the clients which are created by the load tester. -->
+ <key>weight</key>
+ <integer>1</integer>
+ </dict>
+ </array>
+ </dict>
+</plist>
Modified: CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.dist.plist
===================================================================
--- CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.dist.plist 2013-10-21 22:00:05 UTC (rev 11830)
+++ CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.dist.plist 2013-10-22 02:21:03 UTC (rev 11831)
@@ -50,6 +50,15 @@
<integer>8080</integer>
</dict>
+ <!-- Define whether server supports stats socket. -->
+ <key>serverStats</key>
+ <dict>
+ <key>Enabled</key>
+ <true/>
+ <key>Port</key>
+ <integer>8100</integer>
+ </dict>
+
<!-- Define whether client data should be saved and re-used. -->
<key>clientDataSerialization</key>
<dict>
@@ -119,471 +128,6 @@
</dict>
- <!-- Define the kinds of software and user behavior the load simulation
- will simulate. -->
- <key>clients</key>
-
- <!-- Have as many different kinds of software and user behavior configurations
- as you want. Each is a dict -->
- <array>
-
- <dict>
-
- <!-- Here is a OS X client simulator. -->
- <key>software</key>
- <string>contrib.performance.loadtest.ical.OS_X_10_7</string>
-
- <!-- Arguments to use to initialize the OS_X_10_7 instance. -->
- <key>params</key>
- <dict>
- <!-- Name that appears in logs. -->
- <key>title</key>
- <string>10.7</string>
-
- <!-- OS_X_10_7 can poll the calendar home at some interval. This is
- in seconds. -->
- <key>calendarHomePollInterval</key>
- <integer>30</integer>
-
- <!-- If the server advertises xmpp push, OS_X_10_7 can wait for notifications
- about calendar home changes instead of polling for them periodically. If
- this option is true, then look for the server advertisement for xmpp push
- and use it if possible. Still fall back to polling if there is no xmpp push
- advertised. -->
- <key>supportPush</key>
- <false />
- </dict>
-
- <!-- The profiles define certain types of user behavior on top of the
- client software being simulated. -->
- <key>profiles</key>
- <array>
-
- <!-- First an event-creating profile, which will periodically create
- new events at a random time on a random calendar. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Eventer</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the interval (in seconds) at which this profile will use
- its client to create a new event. -->
- <key>interval</key>
- <integer>60</integer>
-
- <!-- Define how start times (DTSTART) for the randomly generated events
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>eventStartDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
-
- <!-- Define how recurrences are created. -->
- <key>recurrenceDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. We have a fixed set of
- RRULEs defined for this distribution and pick each based on a
- weight. -->
- <key>type</key>
- <string>contrib.performance.stats.RecurrenceDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- False to disable RRULEs -->
- <key>allowRecurrence</key>
- <true/>
-
- <!-- These are the weights for the specific set of RRULEs. -->
- <key>weights</key>
- <dict>
- <!-- Half of all events will be non-recurring -->
- <key>none</key>
- <integer>50</integer>
-
- <!-- Daily and weekly are pretty common -->
- <key>daily</key>
- <integer>10</integer>
- <key>weekly</key>
- <integer>20</integer>
-
- <!-- Monthly, yearly, daily & weekly limit not so common -->
- <key>monthly</key>
- <integer>2</integer>
- <key>yearly</key>
- <integer>1</integer>
- <key>dailylimit</key>
- <integer>2</integer>
- <key>weeklylimit</key>
- <integer>5</integer>
-
- <!-- Work days pretty common -->
- <key>workdays</key>
- <integer>10</integer>
- </dict>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- This profile invites new attendees to existing events.
- This profile should no longer be used - use RealisticInviter instead. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Inviter</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <false/>
-
- <!-- Define the frequency at which new invitations will be sent out. -->
- <key>sendInvitationDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.NormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mu gives the mean of the normal distribution (in seconds). -->
- <key>mu</key>
- <integer>60</integer>
-
- <!-- and sigma gives its standard deviation. -->
- <key>sigma</key>
- <integer>5</integer>
- </dict>
- </dict>
-
- <!-- Define the distribution of who will be invited to an event. Each
- set of credentials loaded by the load tester has an index; samples from this
- distribution will be added to that index to arrive at the index of some other
- credentials, which will be the target of the invitation. -->
- <key>inviteeDistanceDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.UniformIntegerDistribution</string>
- <key>params</key>
- <dict>
- <!-- The minimum value (inclusive) of the uniform distribution. -->
- <key>min</key>
- <integer>-100</integer>
- <!-- The maximum value (exclusive) of the uniform distribution. -->
- <key>max</key>
- <integer>101</integer>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- This profile invites some number of new attendees to new events. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.RealisticInviter</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the frequency at which new invitations will be sent out. -->
- <key>sendInvitationDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.NormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mu gives the mean of the normal distribution (in seconds). -->
- <key>mu</key>
- <integer>60</integer>
-
- <!-- and sigma gives its standard deviation. -->
- <key>sigma</key>
- <integer>5</integer>
- </dict>
- </dict>
-
- <!-- Define the distribution of who will be invited to an event.
-
- When inviteeClumping is turned on each invitee is based on a sample of
- users "close to" the organizer based on account index. If the clumping
- is too "tight" for the requested number of attendees, then invites for
- those larger numbers will simply fail (the sim will report that situation).
-
- When inviteeClumping is off invitees will be sampled across an entire
- range of account indexes. In this case the distribution ought to be a
- UniformIntegerDistribution with min=0 and max set to the number of accounts.
- -->
- <key>inviteeDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.UniformIntegerDistribution</string>
- <key>params</key>
- <dict>
- <!-- The minimum value (inclusive) of the uniform distribution. -->
- <key>min</key>
- <integer>-100</integer>
- <!-- The maximum value (exclusive) of the uniform distribution. -->
- <key>max</key>
- <integer>101</integer>
- </dict>
- </dict>
-
- <key>inviteeClumping</key>
- <true/>
-
- <!-- Define the distribution of how many attendees will be invited to an event.
-
- LogNormal is the best fit to observed data.
-
-
- For LogNormal "mode" is the peak, "mean" is the mean value. For invites,
- mode should typically be 1, and mean whatever matches the user behavior.
- Our typical mean is 6.
- -->
- <key>inviteeCountDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.LogNormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mode - peak-->
- <key>mode</key>
- <integer>1</integer>
- <!-- mean - average-->
- <key>median</key>
- <integer>6</integer>
- <!-- maximum -->
- <key>maximum</key>
- <real>100</real>
- </dict>
- </dict>
-
- <!-- Define how start times (DTSTART) for the randomly generated events
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>eventStartDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
-
- <!-- Define how recurrences are created. -->
- <key>recurrenceDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. We have a fixed set of
- RRULEs defined for this distribution and pick each based on a
- weight. -->
- <key>type</key>
- <string>contrib.performance.stats.RecurrenceDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- False to disable RRULEs -->
- <key>allowRecurrence</key>
- <true/>
-
- <!-- These are the weights for the specific set of RRULEs. -->
- <key>weights</key>
- <dict>
- <!-- Half of all events will be non-recurring -->
- <key>none</key>
- <integer>50</integer>
-
- <!-- Daily and weekly are pretty common -->
- <key>daily</key>
- <integer>10</integer>
- <key>weekly</key>
- <integer>20</integer>
-
- <!-- Monthly, yearly, daily & weekly limit not so common -->
- <key>monthly</key>
- <integer>2</integer>
- <key>yearly</key>
- <integer>1</integer>
- <key>dailylimit</key>
- <integer>2</integer>
- <key>weeklylimit</key>
- <integer>5</integer>
-
- <!-- Work days pretty common -->
- <key>workdays</key>
- <integer>10</integer>
- </dict>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- This profile accepts invitations to events, handles cancels, and
- handles replies received. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Accepter</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define how long to wait after seeing a new invitation before
- accepting it.
-
- For LogNormal "mode" is the peak, "median" is the 50% cummulative value
- (i.e., half of the user have accepted by that time).
- -->
- <key>acceptDelayDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.LogNormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mode - peak-->
- <key>mode</key>
- <integer>300</integer>
- <!-- median - 50% done-->
- <key>median</key>
- <integer>1800</integer>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- A task-creating profile, which will periodically create
- new tasks at a random time on a random calendar. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Tasker</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the interval (in seconds) at which this profile will use
- its client to create a new task. -->
- <key>interval</key>
- <integer>300</integer>
-
- <!-- Define how due times (DUE) for the randomly generated tasks
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>taskDueDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
- </dict>
- </dict>
-
- </array>
-
- <!-- Determine the frequency at which this client configuration will
- appear in the clients which are created by the load tester. -->
- <key>weight</key>
- <integer>1</integer>
- </dict>
- </array>
-
<!-- Define some log observers to report on the load test. -->
<key>observers</key>
<array>
Modified: CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.plist
===================================================================
--- CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.plist 2013-10-21 22:00:05 UTC (rev 11830)
+++ CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/config.plist 2013-10-22 02:21:03 UTC (rev 11831)
@@ -37,6 +37,15 @@
<integer>8080</integer>
</dict>
+ <!-- Define whether server supports stats socket. -->
+ <key>serverStats</key>
+ <dict>
+ <key>Enabled</key>
+ <true/>
+ <key>Port</key>
+ <integer>8100</integer>
+ </dict>
+
<!-- Define whether client data should be saved and re-used. -->
<key>clientDataSerialization</key>
<dict>
@@ -106,429 +115,6 @@
</dict>
- <!-- Define the kinds of software and user behavior the load simulation
- will simulate. -->
- <key>clients</key>
-
- <!-- Have as many different kinds of software and user behavior configurations
- as you want. Each is a dict -->
- <array>
-
- <dict>
-
- <!-- Here is a OS X client simulator. -->
- <key>software</key>
- <string>contrib.performance.loadtest.ical.OS_X_10_7</string>
-
- <!-- Arguments to use to initialize the OS_X_10_7 instance. -->
- <key>params</key>
- <dict>
- <!-- Name that appears in logs. -->
- <key>title</key>
- <string>10.7</string>
-
- <!-- OS_X_10_7 can poll the calendar home at some interval. This is
- in seconds. -->
- <key>calendarHomePollInterval</key>
- <integer>30</integer>
-
- <!-- If the server advertises xmpp push, OS_X_10_7 can wait for notifications
- about calendar home changes instead of polling for them periodically. If
- this option is true, then look for the server advertisement for xmpp push
- and use it if possible. Still fall back to polling if there is no xmpp push
- advertised. -->
- <key>supportPush</key>
- <false />
-
- <key>supportAmpPush</key>
- <true/>
- <key>ampPushHost</key>
- <string>localhost</string>
- <key>ampPushPort</key>
- <integer>62311</integer>
- </dict>
-
- <!-- The profiles define certain types of user behavior on top of the
- client software being simulated. -->
- <key>profiles</key>
- <array>
-
- <!-- First an event-creating profile, which will periodically create
- new events at a random time on a random calendar. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Eventer</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the interval (in seconds) at which this profile will use
- its client to create a new event. -->
- <key>interval</key>
- <integer>60</integer>
-
- <!-- Define how start times (DTSTART) for the randomly generated events
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>eventStartDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
-
- <!-- Define how recurrences are created. -->
- <key>recurrenceDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. We have a fixed set of
- RRULEs defined for this distribution and pick each based on a
- weight. -->
- <key>type</key>
- <string>contrib.performance.stats.RecurrenceDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- False to disable RRULEs -->
- <key>allowRecurrence</key>
- <true/>
-
- <!-- These are the weights for the specific set of RRULEs. -->
- <key>weights</key>
- <dict>
- <!-- Half of all events will be non-recurring -->
- <key>none</key>
- <integer>50</integer>
-
- <!-- Daily and weekly are pretty common -->
- <key>daily</key>
- <integer>10</integer>
- <key>weekly</key>
- <integer>20</integer>
-
- <!-- Monthly, yearly, daily & weekly limit not so common -->
- <key>monthly</key>
- <integer>2</integer>
- <key>yearly</key>
- <integer>1</integer>
- <key>dailylimit</key>
- <integer>2</integer>
- <key>weeklylimit</key>
- <integer>5</integer>
-
- <!-- Work days pretty common -->
- <key>workdays</key>
- <integer>10</integer>
- </dict>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- This profile invites some number of new attendees to new events. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.RealisticInviter</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the frequency at which new invitations will be sent out. -->
- <key>sendInvitationDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.NormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mu gives the mean of the normal distribution (in seconds). -->
- <key>mu</key>
- <integer>60</integer>
-
- <!-- and sigma gives its standard deviation. -->
- <key>sigma</key>
- <integer>5</integer>
- </dict>
- </dict>
-
- <!-- Define the distribution of who will be invited to an event.
-
- When inviteeClumping is turned on each invitee is based on a sample of
- users "close to" the organizer based on account index. If the clumping
- is too "tight" for the requested number of attendees, then invites for
- those larger numbers will simply fail (the sim will report that situation).
-
- When inviteeClumping is off invitees will be sampled across an entire
- range of account indexes. In this case the distribution ought to be a
- UniformIntegerDistribution with min=0 and max set to the number of accounts.
- -->
- <key>inviteeDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.UniformIntegerDistribution</string>
- <key>params</key>
- <dict>
- <!-- The minimum value (inclusive) of the uniform distribution. -->
- <key>min</key>
- <integer>0</integer>
- <!-- The maximum value (exclusive) of the uniform distribution. -->
- <key>max</key>
- <integer>99</integer>
- </dict>
- </dict>
-
- <key>inviteeClumping</key>
- <true/>
-
- <!-- Define the distribution of how many attendees will be invited to an event.
-
- LogNormal is the best fit to observed data.
-
-
- For LogNormal "mode" is the peak, "mean" is the mean value. For invites,
- mode should typically be 1, and mean whatever matches the user behavior.
- Our typical mean is 6.
- -->
- <key>inviteeCountDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.LogNormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mode - peak-->
- <key>mode</key>
- <integer>1</integer>
- <!-- mean - average-->
- <key>median</key>
- <integer>6</integer>
- <!-- maximum -->
- <key>maximum</key>
- <real>60</real>
- </dict>
- </dict>
-
- <!-- Define how start times (DTSTART) for the randomly generated events
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>eventStartDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
-
- <!-- Define how recurrences are created. -->
- <key>recurrenceDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. We have a fixed set of
- RRULEs defined for this distribution and pick each based on a
- weight. -->
- <key>type</key>
- <string>contrib.performance.stats.RecurrenceDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- False to disable RRULEs -->
- <key>allowRecurrence</key>
- <true/>
-
- <!-- These are the weights for the specific set of RRULEs. -->
- <key>weights</key>
- <dict>
- <!-- Half of all events will be non-recurring -->
- <key>none</key>
- <integer>50</integer>
-
- <!-- Daily and weekly are pretty common -->
- <key>daily</key>
- <integer>10</integer>
- <key>weekly</key>
- <integer>20</integer>
-
- <!-- Monthly, yearly, daily & weekly limit not so common -->
- <key>monthly</key>
- <integer>2</integer>
- <key>yearly</key>
- <integer>1</integer>
- <key>dailylimit</key>
- <integer>2</integer>
- <key>weeklylimit</key>
- <integer>5</integer>
-
- <!-- Work days pretty common -->
- <key>workdays</key>
- <integer>10</integer>
- </dict>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- This profile accepts invitations to events, handles cancels, and
- handles replies received. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Accepter</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define how long to wait after seeing a new invitation before
- accepting it.
-
- For LogNormal "mode" is the peak, "median" is the 50% cummulative value
- (i.e., half of the user have accepted by that time).
- -->
- <key>acceptDelayDistribution</key>
- <dict>
- <key>type</key>
- <string>contrib.performance.stats.LogNormalDistribution</string>
- <key>params</key>
- <dict>
- <!-- mode - peak-->
- <key>mode</key>
- <integer>300</integer>
- <!-- median - 50% done-->
- <key>median</key>
- <integer>1800</integer>
- </dict>
- </dict>
- </dict>
- </dict>
-
- <!-- A task-creating profile, which will periodically create
- new tasks at a random time on a random calendar. -->
- <dict>
- <key>class</key>
- <string>contrib.performance.loadtest.profiles.Tasker</string>
-
- <key>params</key>
- <dict>
- <key>enabled</key>
- <true/>
-
- <!-- Define the interval (in seconds) at which this profile will use
- its client to create a new task. -->
- <key>interval</key>
- <integer>300</integer>
-
- <!-- Define how due times (DUE) for the randomly generated tasks
- will be selected. This is an example of a "Distribution" parameter. The value
- for most "Distribution" parameters are interchangeable and extensible. -->
- <key>taskDueDistribution</key>
- <dict>
-
- <!-- This distribution is pretty specialized. It produces timestamps
- in the near future, limited to certain days of the week and certain hours
- of the day. -->
- <key>type</key>
- <string>contrib.performance.stats.WorkDistribution</string>
-
- <key>params</key>
- <dict>
- <!-- These are the days of the week the distribution will use. -->
- <key>daysOfWeek</key>
- <array>
- <string>mon</string>
- <string>tue</string>
- <string>wed</string>
- <string>thu</string>
- <string>fri</string>
- </array>
-
- <!-- The earliest hour of a day at which an event might be scheduled. -->
- <key>beginHour</key>
- <integer>8</integer>
-
- <!-- And the latest hour of a day (at which an event will be scheduled
- to begin!). -->
- <key>endHour</key>
- <integer>16</integer>
-
- <!-- The timezone in which the event is scheduled. (XXX Does this
- really work right?) -->
- <key>tzname</key>
- <string>America/Los_Angeles</string>
- </dict>
- </dict>
- </dict>
- </dict>
-
- </array>
-
- <!-- Determine the frequency at which this client configuration will
- appear in the clients which are created by the load tester. -->
- <key>weight</key>
- <integer>1</integer>
- </dict>
- </array>
-
<!-- Define some log observers to report on the load test. -->
<key>observers</key>
<array>
Modified: CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/population.py
===================================================================
--- CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/population.py 2013-10-21 22:00:05 UTC (rev 11830)
+++ CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/population.py 2013-10-22 02:21:03 UTC (rev 11831)
@@ -396,6 +396,7 @@
self._failed_clients = []
self._failed_sim = collections.defaultdict(int)
self._startTime = datetime.now()
+ self._expired_data = None
# Load parameters from config
if "thresholdsPath" in params:
@@ -423,6 +424,13 @@
self._fail_cut_off = params["failCutoff"]
+ def observe(self, event):
+ if event.get('type') == 'sim-expired':
+ self.simExpired(event)
+ else:
+ super(ReportStatistics, self).observe(event)
+
+
def countUsers(self):
return len(self._users)
@@ -454,6 +462,10 @@
self._failed_sim[event['reason']] += 1
+ def simExpired(self, event):
+ self._expired_data = event['reason']
+
+
def printMiscellaneous(self, output, items):
maxColumnWidth = str(len(max(items.iterkeys(), key=len)))
fmt = "%" + maxColumnWidth + "s : %-s\n"
@@ -527,8 +539,22 @@
if self.countSimFailures() > 0:
for reason, count in self._failed_sim.items():
items['Failed operation'] = "%s : %d times" % (reason, count,)
+ output.write("* Client\n")
self.printMiscellaneous(output, items)
output.write("\n")
+
+ if self._expired_data is not None:
+ items = {
+ "Req/sec" : "%.1f" % (self._expired_data[0],),
+ "Response": "%.1f (ms)" % (self._expired_data[1],),
+ "Slots": "%.2f" % (self._expired_data[2],),
+ "CPU": "%.1f%%" % (self._expired_data[3],),
+ }
+ output.write("* Server (Last 5 minutes)\n")
+ self.printMiscellaneous(output, items)
+ output.write("\n")
+ output.write("* Details\n")
+
self.printHeader(output, [
(label, width)
for (label, width, _ignore_fmt)
Modified: CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/sim.py
===================================================================
--- CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/sim.py 2013-10-21 22:00:05 UTC (rev 11830)
+++ CalendarServer/branches/users/cdaboo/performance-tweaks/contrib/performance/loadtest/sim.py 2013-10-22 02:21:03 UTC (rev 11831)
@@ -23,11 +23,14 @@
from plistlib import readPlist
from random import Random
from sys import argv, stdout
+from urlparse import urlsplit
from xml.parsers.expat import ExpatError
+import json
+import socket
from twisted.python import context
from twisted.python.filepath import FilePath
-from twisted.python.log import startLogging, addObserver, removeObserver
+from twisted.python.log import startLogging, addObserver, removeObserver, msg
from twisted.python.usage import UsageError, Options
from twisted.python.reflect import namedAny
@@ -56,6 +59,11 @@
+def safeDivision(value, total, factor=1):
+ return value * factor / total if total else 0
+
+
+
def generateRecords(count, uidPattern="user%d", passwordPattern="user%d",
namePattern="User %d", emailPattern="user%d at example.com"):
for i in xrange(count):
@@ -121,6 +129,7 @@
"""
config = None
_defaultConfig = FilePath(__file__).sibling("config.plist")
+ _defaultClients = FilePath(__file__).sibling("clients.plist")
optParameters = [
("runtime", "t", None,
@@ -129,6 +138,9 @@
("config", None, _defaultConfig,
"Configuration plist file name from which to read simulation parameters.",
FilePath),
+ ("clients", None, _defaultClients,
+ "Configuration plist file name from which to read client parameters.",
+ FilePath),
]
@@ -181,7 +193,23 @@
finally:
configFile.close()
+ try:
+ clientFile = self['clients'].open()
+ except IOError, e:
+ raise UsageError("--clients %s: %s" % (
+ self['clients'].path, e.strerror))
+ try:
+ try:
+ client_config = readPlist(clientFile)
+ self.config["clients"] = client_config["clients"]
+ if "arrivalInterval" in client_config:
+ self.config["arrival"]["params"]["interval"] = client_config["arrivalInterval"]
+ except ExpatError, e:
+ raise UsageError("--clients %s: %s" % (self['clients'].path, e))
+ finally:
+ clientFile.close()
+
Arrival = namedtuple('Arrival', 'factory parameters')
@@ -200,7 +228,7 @@
user information about the accounts on the server being put
under load.
"""
- def __init__(self, server, principalPathTemplate, webadminPort, serializationPath, arrival, parameters, observers=None,
+ def __init__(self, server, principalPathTemplate, webadminPort, serverStats, serializationPath, arrival, parameters, observers=None,
records=None, reactor=None, runtime=None, workers=None,
configTemplate=None, workerID=None, workerCount=1):
if reactor is None:
@@ -208,6 +236,7 @@
self.server = server
self.principalPathTemplate = principalPathTemplate
self.webadminPort = webadminPort
+ self.serverStats = serverStats
self.serializationPath = serializationPath
self.arrival = arrival
self.parameters = parameters
@@ -307,9 +336,14 @@
webadminPort = None
if 'webadmin' in config:
- if config['webadmin']['enabled']:
+ if config['webadmin']['Enabled']:
webadminPort = config['webadmin']['HTTPPort']
+ serverStats = None
+ if 'serverStats' in config:
+ if config['serverStats']['Enabled']:
+ serverStats = config['serverStats']
+
observers = []
if 'observers' in config:
for observer in config['observers']:
@@ -324,11 +358,23 @@
records.extend(namedAny(loader)(**params))
output.write("Loaded {0} accounts.\n".format(len(records)))
- return cls(server, principalPathTemplate, webadminPort, serializationPath,
- arrival, parameters, observers=observers,
- records=records, runtime=runtime, reactor=reactor,
- workers=workers, configTemplate=configTemplate,
- workerID=workerID, workerCount=workerCount)
+ return cls(
+ server,
+ principalPathTemplate,
+ webadminPort,
+ serverStats,
+ serializationPath,
+ arrival,
+ parameters,
+ observers=observers,
+ records=records,
+ runtime=runtime,
+ reactor=reactor,
+ workers=workers,
+ configTemplate=configTemplate,
+ workerID=workerID,
+ workerCount=workerCount,
+ )
@classmethod
@@ -409,7 +455,7 @@
def run(self, output=stdout):
self.attachServices(output)
if self.runtime is not None:
- self.reactor.callLater(self.runtime, self.reactor.stop)
+ self.reactor.callLater(self.runtime, self.stopAndReport)
if self.webadminPort:
self.reactor.listenTCP(self.webadminPort, server.Site(LoadSimAdminResource(self)))
self.reactor.run()
@@ -417,16 +463,65 @@
def stop(self):
if self.ms.running:
+ self.updateStats()
self.ms.stopService()
- self.reactor.callLater(5, self.reactor.stop)
+ self.reactor.callLater(5, self.stopAndReport)
def shutdown(self):
if self.ms.running:
+ self.updateStats()
return self.ms.stopService()
+ def updateStats(self):
+ """
+ Capture server stats and stop.
+ """
+ if self.serverStats is not None:
+ _ignore_scheme, hostname, _ignore_path, _ignore_query, _ignore_fragment = urlsplit(self.server)
+ data = self.readStatsSock((hostname.split(":")[0], self.serverStats["Port"],), True)
+ if "Failed" not in data:
+ data = data["5 Minutes"]
+ result = (
+ safeDivision(float(data["requests"]), 5 * 60),
+ safeDivision(data["t"], data["requests"]),
+ safeDivision(float(data["slots"]), data["requests"]),
+ safeDivision(data["cpu"], data["requests"]),
+ )
+ msg(type="sim-expired", reason=result)
+
+
+ def stopAndReport(self):
+ """
+ Runtime has expired - capture server stats and stop.
+ """
+
+ self.updateStats()
+ self.reactor.stop()
+
+
+ def readStatsSock(self, sockname, useTCP):
+ try:
+ s = socket.socket(socket.AF_INET if useTCP else socket.AF_UNIX, socket.SOCK_STREAM)
+ s.connect(sockname)
+ data = ""
+ while True:
+ d = s.recv(1024)
+ if d:
+ data += d
+ else:
+ break
+ s.close()
+ data = json.loads(data)
+ except socket.error:
+ data = {"Failed": "Unable to read statistics from server: %s" % (sockname,)}
+ data["Server"] = sockname
+ return data
+
+
+
def attachService(reactor, loadsim, service):
"""
Attach a given L{IService} provider to the given L{IReactorCore}; cause it
@@ -557,7 +652,6 @@
def errReceived(self, error):
- from twisted.python.log import msg
msg("stderr received from " + str(self.transport.pid))
msg(" " + repr(error))
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