Add the max_clients parameter to bound clients
The new max_clients parameter allows one full control over the maximum number of client requests that will be handled by a given worker for any of the proxy, account, container or object servers. Lowering the number of clients handled per worker, and raising the number of workers can lessen the impact that a CPU intensive, or blocking, request can have on other requests served by the same worker. If the maximum number of clients is set to one, then a given worker will not perform another accept(2) call while processing, allowing other workers a chance to process it. DocImpact Signed-off-by: Peter Portante <peter.portante@redhat.com> Change-Id: Ic01430f7a6c5ff48d7aa349dc86a5f8ac463a420
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@ -114,6 +114,12 @@ Logging level. The default is INFO.
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Enables request logging. The default is True.
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.IP "\fB set log_address\fR
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Logging address. The default is /dev/log.
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.IP \fBmax_clients\fR
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Maximum number of clients one worker can process simultaneously (it will
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actually accept(2) N + 1). Setting this to one (1) will only handle one request
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at a time, without accepting another request concurrently. By increasing the
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number of workers to a much higher value, one can reduce the impact of slow file system
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operations in one request from negatively impacting other requests. The default is 1024.
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.RE
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.PD
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@ -253,5 +259,3 @@ and
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.SH "SEE ALSO"
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.BR swift-account-server(1),
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@ -120,6 +120,12 @@ Logging address. The default is /dev/log.
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Request timeout to external services. The default is 3 seconds.
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.IP \fBconn_timeout\fR
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Connection timeout to external services. The default is 0.5 seconds.
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.IP \fBmax_clients\fR
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Maximum number of clients one worker can process simultaneously (it will
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actually accept(2) N + 1). Setting this to one (1) will only handle one request
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at a time, without accepting another request concurrently. By increasing the
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number of workers to a much higher value, one can reduce the impact of slow file system
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operations in one request from negatively impacting other requests. The default is 1024.
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.RE
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.PD
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@ -278,5 +284,3 @@ and
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.SH "SEE ALSO"
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.BR swift-container-server(1),
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@ -120,6 +120,12 @@ Logging address. The default is /dev/log.
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Request timeout to external services. The default is 3 seconds.
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.IP \fBconn_timeout\fR
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Connection timeout to external services. The default is 0.5 seconds.
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.IP \fBmax_clients\fR
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Maximum number of clients one worker can process simultaneously (it will
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actually accept(2) N + 1). Setting this to one (1) will only handle one request
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at a time, without accepting another request concurrently. By increasing the
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number of workers to a much higher value, one can reduce the impact of slow file system
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operations in one request from negatively impacting other requests. The default is 1024.
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.RE
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.PD
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@ -270,5 +276,3 @@ and
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.SH "SEE ALSO"
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.BR swift-object-server(1),
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@ -537,6 +537,12 @@ object. The default is 10 segments.
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.IP \fBrate_limit_segments_per_sec\fR
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Once segment rate-limiting kicks in for an object, limit segments served to N
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per second. The default is 1.
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.IP \fBmax_clients\fR
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Maximum number of clients one worker can process simultaneously (it will
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actually accept(2) N + 1). Setting this to one (1) will only handle one request
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at a time, without accepting another request concurrently. By increasing the
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number of workers to a much higher value, one can reduce the impact of slow file system
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operations in one request from negatively impacting other requests. The default is 1024.
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.RE
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.PD
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@ -57,7 +57,7 @@ Web Front End Options
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---------------------
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Swift comes with an integral web front end. However, it can also be deployed
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as a request processor of an Apache2 using mod_wsgi as described in
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as a request processor of an Apache2 using mod_wsgi as described in
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:doc:`Apache Deployment Guide <apache_deployment_guide>`.
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.. _ring-preparing:
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@ -241,6 +241,16 @@ bind_ip 0.0.0.0 IP Address for server to bind to
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bind_port 6000 Port for server to bind to
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bind_timeout 30 Seconds to attempt bind before giving up
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workers 1 Number of workers to fork
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max_clients 1024 Maximum number of clients one worker can
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process simultaneously (it will actually
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accept(2) N + 1). Setting this to one (1)
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will only handle one request at a time,
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without accepting another request
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concurrently. By increasing the number of
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workers to a much higher value, one can
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reduce the impact of slow file system
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operations in one request from negatively
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impacting other requests.
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disable_fallocate false Disable "fast fail" fallocate checks if the
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underlying filesystem does not support it.
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log_custom_handlers None Comma-separated list of functions to call
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@ -358,6 +368,16 @@ bind_ip 0.0.0.0 IP Address for server to bind to
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bind_port 6001 Port for server to bind to
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bind_timeout 30 Seconds to attempt bind before giving up
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workers 1 Number of workers to fork
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max_clients 1024 Maximum number of clients one worker can
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process simultaneously (it will actually
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accept(2) N + 1). Setting this to one (1)
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will only handle one request at a time,
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without accepting another request
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concurrently. By increasing the number of
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workers to a much higher value, one can
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reduce the impact of slow file system
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operations in one request from negatively
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impacting other requests.
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user swift User to run as
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disable_fallocate false Disable "fast fail" fallocate checks if the
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underlying filesystem does not support it.
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@ -440,7 +460,7 @@ log_name container-auditor Label used when logging
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log_facility LOG_LOCAL0 Syslog log facility
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log_level INFO Logging level
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interval 1800 Minimum time for a pass to take
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containers_per_second 200 Maximum containers audited per second.
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containers_per_second 200 Maximum containers audited per second.
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Should be tuned according to individual
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system specs. 0 is unlimited.
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===================== ================= =======================================
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@ -468,6 +488,16 @@ bind_ip 0.0.0.0 IP Address for server to bind to
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bind_port 6002 Port for server to bind to
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bind_timeout 30 Seconds to attempt bind before giving up
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workers 1 Number of workers to fork
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max_clients 1024 Maximum number of clients one worker can
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process simultaneously (it will actually
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accept(2) N + 1). Setting this to one (1)
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will only handle one request at a time,
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without accepting another request
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concurrently. By increasing the number of
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workers to a much higher value, one can
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reduce the impact of slow file system
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operations in one request from negatively
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impacting other requests.
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user swift User to run as
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db_preallocation off If you don't mind the extra disk space usage in
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overhead, you can turn this on to preallocate
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@ -527,9 +557,9 @@ log_name account-auditor Label used when logging
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log_facility LOG_LOCAL0 Syslog log facility
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log_level INFO Logging level
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interval 1800 Minimum time for a pass to take
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accounts_per_second 200 Maximum accounts audited per second.
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accounts_per_second 200 Maximum accounts audited per second.
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Should be tuned according to individual
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system specs. 0 is unlimited.
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system specs. 0 is unlimited.
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==================== =============== =======================================
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[account-reaper]
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@ -572,6 +602,21 @@ bind_timeout 30 Seconds to attempt bind before
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giving up
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swift_dir /etc/swift Swift configuration directory
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workers 1 Number of workers to fork
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max_clients 1024 Maximum number of clients one
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worker can process
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simultaneously (it will
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actually accept(2) N +
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1). Setting this to one (1)
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will only handle one request at
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a time, without accepting
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another request
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concurrently. By increasing the
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number of workers to a much
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higher value, one can reduce
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the impact of slow file system
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operations in one request from
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negatively impacting other
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requests.
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user swift User to run as
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cert_file Path to the ssl .crt. This
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should be enabled for testing
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@ -580,9 +625,9 @@ key_file Path to the ssl .key. This
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should be enabled for testing
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purposes only.
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cors_allow_origin This is a list of hosts that
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are included with any CORS
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request by default and
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returned with the
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are included with any CORS
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request by default and
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returned with the
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Access-Control-Allow-Origin
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header in addition to what
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the container has set.
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@ -785,12 +830,12 @@ should also be monitored to ensure that the times do not vary too much.
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General Service Tuning
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----------------------
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Most services support either a worker or concurrency value in the settings.
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This allows the services to make effective use of the cores available. A good
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starting point to set the concurrency level for the proxy and storage services
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to 2 times the number of cores available. If more than one service is
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sharing a server, then some experimentation may be needed to find the best
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balance.
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Most services support either a `worker` or `concurrency` value in the
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settings. This allows the services to make effective use of the cores
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available. A good starting point to set the concurrency level for the proxy
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and storage services to 2 times the number of cores available. If more than
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one service is sharing a server, then some experimentation may be needed to
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find the best balance.
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At Rackspace, our Proxy servers have dual quad core processors, giving us 8
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cores. Our testing has shown 16 workers to be a pretty good balance when
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@ -798,9 +843,21 @@ saturating a 10g network and gives good CPU utilization.
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Our Storage servers all run together on the same servers. These servers have
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dual quad core processors, for 8 cores total. We run the Account, Container,
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and Object servers with 8 workers each. Most of the background jobs are run
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at a concurrency of 1, with the exception of the replicators which are run at
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a concurrency of 2.
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and Object servers with 8 workers each. Most of the background jobs are run at
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a concurrency of 1, with the exception of the replicators which are run at a
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concurrency of 2.
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The `max_clients` parameter can be used to adjust the number of client
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requests an individual worker accepts for processing. The fewer requests being
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processed at one time, the less likely a request that consumes the worker's
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CPU time, or blocks in the OS, will negatively impact other requests. The more
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requests being processed at one time, the more likely one worker can utilize
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network and disk capacity.
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On systems that have more cores, and more memory, where one can afford to run
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more workers, raising the number of workers and lowering the maximum number of
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clients serviced per worker can lessen the impact of CPU intensive or stalled
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requests.
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The above configuration setting should be taken as suggestions and testing
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of configuration settings should be done to ensure best utilization of CPU,
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# set log_requests = True
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# set log_address = /dev/log
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# auto_create_account_prefix = .
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# max_clients = 1024
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[filter:healthcheck]
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use = egg:swift#healthcheck
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# conn_timeout = 0.5
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# allow_versions = False
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# auto_create_account_prefix = .
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# max_clients = 1024
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[filter:healthcheck]
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use = egg:swift#healthcheck
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# Content-Type, etag, Content-Length, or deleted
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# allowed_headers = Content-Disposition, Content-Encoding, X-Delete-At, X-Object-Manifest, X-Static-Large-Object
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# auto_create_account_prefix = .
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# max_clients = 1024
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[filter:healthcheck]
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use = egg:swift#healthcheck
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# Use a comma separated list of full url (http://foo.bar:1234,https://foo.bar)
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# cors_allow_origin =
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# eventlet_debug = false
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# max_clients = 1024
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[pipeline:main]
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pipeline = catch_errors healthcheck proxy-logging cache slo ratelimit tempauth container-quotas account-quotas proxy-logging proxy-server
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return sock
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class RestrictedGreenPool(GreenPool):
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"""
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Works the same as GreenPool, but if the size is specified as one, then the
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spawn_n() method will invoke waitall() before returning to prevent the
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caller from doing any other work (like calling accept()).
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"""
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def __init__(self, size=1024):
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super(RestrictedGreenPool, self).__init__(size=size)
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self._rgp_do_wait = (size == 1)
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def spawn_n(self, *args, **kwargs):
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super(RestrictedGreenPool, self).spawn_n(*args, **kwargs)
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if self._rgp_do_wait:
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self.waitall()
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# TODO: pull pieces of this out to test
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def run_wsgi(conf_file, app_section, *args, **kwargs):
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"""
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@ -132,7 +148,7 @@ def run_wsgi(conf_file, app_section, *args, **kwargs):
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# redirect errors to logger and close stdio
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capture_stdio(logger)
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def run_server():
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def run_server(max_clients):
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wsgi.HttpProtocol.default_request_version = "HTTP/1.0"
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# Turn off logging requests by the underlying WSGI software.
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wsgi.HttpProtocol.log_request = lambda *a: None
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@ -147,7 +163,7 @@ def run_wsgi(conf_file, app_section, *args, **kwargs):
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eventlet.debug.hub_exceptions(eventlet_debug)
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app = loadapp('config:%s' % conf_file,
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global_conf={'log_name': log_name})
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pool = GreenPool(size=1024)
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pool = RestrictedGreenPool(size=max_clients)
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try:
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wsgi.server(sock, app, NullLogger(), custom_pool=pool)
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except socket.error, err:
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@ -155,10 +171,11 @@ def run_wsgi(conf_file, app_section, *args, **kwargs):
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raise
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pool.waitall()
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max_clients = int(conf.get('max_clients', '1024'))
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worker_count = int(conf.get('workers', '1'))
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# Useful for profiling [no forks].
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if worker_count == 0:
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run_server()
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run_server(max_clients)
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return
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def kill_children(*args):
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@ -184,7 +201,7 @@ def run_wsgi(conf_file, app_section, *args, **kwargs):
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if pid == 0:
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signal.signal(signal.SIGHUP, signal.SIG_DFL)
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signal.signal(signal.SIGTERM, signal.SIG_DFL)
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run_server()
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run_server(max_clients)
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logger.notice('Child %d exiting normally' % os.getpid())
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return
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else:
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