Without a (per-disk) threadpool, requests to a slow disk would affect all clients by blocking the entire eventlet reactor on read/write/etc. The slower the disk, the worse the performance. On an object server, you frequently have at least one slow disk due to auditing and replication activity sucking up all the available IO. By kicking those blocking calls out to a separate OS thread, we let the eventlet reactor make progress in other greenthreads, and by having a per-disk pool, we ensure that one slow disk can't suck up all the resources of an entire object server. There were a few blocking calls that were done with eventlet.tpool, but that's a fixed-size global threadpool, so I moved them to the per-disk threadpools. If the object server is configured not to use per-disk threadpools, (i.e. threads_per_disk = 0, which is the default), those call sites will still ultimately end up using eventlet.tpool.execute. You won't end up blocking a whole object server while waiting for a huge fsync. If you decide not to use threadpools, the only extra overhead should be a few extra Python function calls here and there. This is accomplished by setting threads_per_disk = 0 in the config. blueprint concurrent-disk-io Change-Id: I490f8753d926fdcee3a0c65c5aaf715bc2b7c290
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Deployment Guide
Hardware Considerations
Swift is designed to run on commodity hardware. At Rackspace, our storage servers are currently running fairly generic 4U servers with 24 2T SATA drives and 8 cores of processing power. RAID on the storage drives is not required and not recommended. Swift's disk usage pattern is the worst case possible for RAID, and performance degrades very quickly using RAID 5 or 6.
Deployment Options
The swift services run completely autonomously, which provides for a lot of flexibility when architecting the hardware deployment for swift. The 4 main services are:
- Proxy Services
- Object Services
- Container Services
- Account Services
The Proxy Services are more CPU and network I/O intensive. If you are using 10g networking to the proxy, or are terminating SSL traffic at the proxy, greater CPU power will be required.
The Object, Container, and Account Services (Storage Services) are more disk and network I/O intensive.
The easiest deployment is to install all services on each server. There is nothing wrong with doing this, as it scales each service out horizontally.
At Rackspace, we put the Proxy Services on their own servers and all of the Storage Services on the same server. This allows us to send 10g networking to the proxy and 1g to the storage servers, and keep load balancing to the proxies more manageable. Storage Services scale out horizontally as storage servers are added, and we can scale overall API throughput by adding more Proxies.
If you need more throughput to either Account or Container Services, they may each be deployed to their own servers. For example you might use faster (but more expensive) SAS or even SSD drives to get faster disk I/O to the databases.
Load balancing and network design is left as an exercise to the reader, but this is a very important part of the cluster, so time should be spent designing the network for a Swift cluster.
Web Front End Options
Swift comes with an integral web front end. However, it can also be
deployed as a request processor of an Apache2 using mod_wsgi as
described in Apache Deployment Guide <apache_deployment_guide>
.
Preparing the Ring
The first step is to determine the number of partitions that will be in the ring. We recommend that there be a minimum of 100 partitions per drive to insure even distribution across the drives. A good starting point might be to figure out the maximum number of drives the cluster will contain, and then multiply by 100, and then round up to the nearest power of two.
For example, imagine we are building a cluster that will have no more than 5,000 drives. That would mean that we would have a total number of 500,000 partitions, which is pretty close to 2^19, rounded up.
It is also a good idea to keep the number of partitions small (relatively). The more partitions there are, the more work that has to be done by the replicators and other backend jobs and the more memory the rings consume in process. The goal is to find a good balance between small rings and maximum cluster size.
The next step is to determine the number of replicas to store of the data. Currently it is recommended to use 3 (as this is the only value that has been tested). The higher the number, the more storage that is used but the less likely you are to lose data.
It is also important to determine how many zones the cluster should have. It is recommended to start with a minimum of 5 zones. You can start with fewer, but our testing has shown that having at least five zones is optimal when failures occur. We also recommend trying to configure the zones at as high a level as possible to create as much isolation as possible. Some example things to take into consideration can include physical location, power availability, and network connectivity. For example, in a small cluster you might decide to split the zones up by cabinet, with each cabinet having its own power and network connectivity. The zone concept is very abstract, so feel free to use it in whatever way best isolates your data from failure. Zones are referenced by number, beginning with 1.
You can now start building the ring with:
swift-ring-builder <builder_file> create <part_power> <replicas> <min_part_hours>
This will start the ring build process creating the <builder_file> with 2^<part_power> partitions. <min_part_hours> is the time in hours before a specific partition can be moved in succession (24 is a good value for this).
Devices can be added to the ring with:
swift-ring-builder <builder_file> add z<zone>-<ip>:<port>/<device_name>_<meta> <weight>
This will add a device to the ring where <builder_file> is the name of the builder file that was created previously, <zone> is the number of the zone this device is in, <ip> is the ip address of the server the device is in, <port> is the port number that the server is running on, <device_name> is the name of the device on the server (for example: sdb1), <meta> is a string of metadata for the device (optional), and <weight> is a float weight that determines how many partitions are put on the device relative to the rest of the devices in the cluster (a good starting point is 100.0 x TB on the drive). Add each device that will be initially in the cluster.
Once all of the devices are added to the ring, run:
swift-ring-builder <builder_file> rebalance
This will distribute the partitions across the drives in the ring. It is important whenever making changes to the ring to make all the changes required before running rebalance. This will ensure that the ring stays as balanced as possible, and as few partitions are moved as possible.
The above process should be done to make a ring for each storage
service (Account, Container and Object). The builder files will be
needed in future changes to the ring, so it is very important that these
be kept and backed up. The resulting .tar.gz ring file should be pushed
to all of the servers in the cluster. For more information about
building rings, running swift-ring-builder with no options will display
help text with available commands and options. More information on how
the ring works internally can be found in the Ring Overview <overview_ring>
.
General Service Configuration
Most Swift services fall into two categories. Swift's wsgi servers and background daemons.
For more information specific to the configuration of Swift's wsgi
servers with paste deploy see general-server-configuration
Configuration for servers and daemons can be expressed together in the same file for each type of server, or separately. If a required section for the service trying to start is missing there will be an error. The sections not used by the service are ignored.
Consider the example of an object storage node. By convention
configuration for the object-server, object-updater, object-replicator,
and object-auditor exist in a single file
/etc/swift/object-server.conf
:
[DEFAULT]
[pipeline:main]
pipeline = object-server
[app:object-server]
use = egg:swift#object
[object-replicator]
reclaim_age = 259200
[object-updater]
[object-auditor]
Swift services expect a configuration path as the first argument:
$ swift-object-auditor
Usage: swift-object-auditor CONFIG [options]
Error: missing config path argument
If you omit the object-auditor section this file could not be used as
the configuration path when starting the
swift-object-auditor
daemon:
$ swift-object-auditor /etc/swift/object-server.conf
Unable to find object-auditor config section in /etc/swift/object-server.conf
If the configuration path is a directory instead of a file all of the files in the directory with the file extension ".conf" will be combined to generate the configuration object which is delivered to the Swift service. This is referred to generally as "directory based configuration".
Directory based configuration leverages ConfigParser's native multi-file support. Files ending in ".conf" in the given directory are parsed in lexicographical order. Filenames starting with '.' are ignored. A mixture of file and directory configuration paths is not supported - if the configuration path is a file only that file will be parsed.
The swift service management tool swift-init
has adopted
the convention of looking for
/etc/swift/{type}-server.conf.d/
if the file
/etc/swift/{type}-server.conf
file does not exist.
When using directory based configuration, if the same option under the same section appears more than once in different files, the last value parsed is said to override previous occurrences. You can ensure proper override precedence by prefixing the files in the configuration directory with numerical values.:
/etc/swift/
default.base
object-server.conf.d/
000_default.conf -> ../default.base
001_default-override.conf
010_server.conf
020_replicator.conf
030_updater.conf
040_auditor.conf
You can inspect the resulting combined configuration object using the
swift-config
command line tool
General Server Configuration
Swift uses paste.deploy (http://pythonpaste.org/deploy/) to manage server configurations.
Default configuration options are set in the [DEFAULT] section, and any options specified
there can be overridden in any of the other sections BUT ONLY BY USING
THE SYNTAX set option_name = value
. This is the unfortunate
way paste.deploy works and I'll try to explain it in full.
First, here's an example paste.deploy configuration file:
[DEFAULT]
name1 = globalvalue
name2 = globalvalue
name3 = globalvalue
set name4 = globalvalue
[pipeline:main]
pipeline = myapp
[app:myapp]
use = egg:mypkg#myapp
name2 = localvalue
set name3 = localvalue
set name5 = localvalue
name6 = localvalue
The resulting configuration that myapp receives is:
global {'__file__': '/etc/mypkg/wsgi.conf', 'here': '/etc/mypkg',
'name1': 'globalvalue',
'name2': 'globalvalue',
'name3': 'localvalue',
'name4': 'globalvalue',
'name5': 'localvalue',
'set name4': 'globalvalue'}
local {'name6': 'localvalue'}
So, name1 got the global value which is fine since it's only in the DEFAULT section anyway.
name2 got the global value from DEFAULT even though it appears to be overridden in the app:myapp subsection. This is just the unfortunate way paste.deploy works (at least at the time of this writing.)
name3 got the local value from the
app:myapp subsection because it is using
the special paste.deploy syntax of set option_name = value
.
So, if you want a default value for most app/filters but want to
overridde it in one subsection, this is how you do it.
name4 got the global value from DEFAULT since it's only in that section anyway.
But, since we used the set
syntax in the DEFAULT section even though we shouldn't,
notice we also got a set name4
variable. Weird, but
probably not harmful.
name5 got the local value from the
app:myapp subsection since it's only
there anyway, but notice that it is in the global configuration and not
the local configuration. This is because we used the set
syntax to set the value. Again, weird, but not harmful since Swift just
treats the two sets of configuration values as one set anyway.
name6 got the local value from app:myapp subsection since it's only there, and
since we didn't use the set
syntax, it's only in the local
configuration and not the global one. Though, as indicated above, there
is no special distinction with Swift.
That's quite an explanation for something that should be so much simpler, but it might be important to know how paste.deploy interprets configuration files. The main rule to remember when working with Swift configuration files is:
Note
Use the set option_name = value
syntax in subsections if
the option is also set in the [DEFAULT]
section. Don't get
in the habit of always using the set
syntax or you'll
probably mess up your non-paste.deploy configuration files.
Object Server Configuration
An Example Object Server configuration can be found at etc/object-server.conf-sample in the source code repository.
The following configuration options are available:
[DEFAULT]
Option | Default | Description |
---|---|---|
swift_dir | /etc/swift | Swift configuration directory |
devices | /srv/node | Parent directory of where devices are mounted |
mount_check |
true |
Whether or not check if the devices are mounted to prevent accidentally writing to the root device |
bind_ip | 0.0.0.0 | IP Address for server to bind to |
bind_port | 6000 | Port for server to bind to |
bind_timeout | 30 | Seconds to attempt bind before giving up |
workers | 1 | Number of workers to fork |
max_clients |
1024 |
Maximum number of clients one worker can process simultaneously (it will actually accept(2) N + 1). Setting this to one (1) will only handle one request at a time, without accepting another request concurrently. By increasing the number of workers to a much higher value, one can reduce the impact of slow file system operations in one request from negatively impacting other requests. |
disable_fallocate |
false |
Disable "fast fail" fallocate checks if the underlying filesystem does not support it. |
log_custom_handlers |
None |
Comma-separated list of functions to call to setup custom log handlers. |
eventlet_debug | false | If true, turn on debug logging for eventlet |
fallocate_reserve |
0 |
You can set fallocate_reserve to the number of bytes you'd like fallocate to reserve, whether there is space for the given file size or not. This is useful for systems that behave badly when they completely run out of space; you can make the services pretend they're out of space early. |
[object-server]
Option | Default | Description |
---|---|---|
use |
paste.deploy entry point for the object server. For most cases, this should be egg:swift#object. |
|
set log_name | object-server | Label used when logging |
set log_facility | LOG_LOCAL0 | Syslog log facility |
set log_level | INFO | Logging level |
set log_requests | True | Whether or not to log each request |
user | swift | User to run as |
node_timeout | 3 | Request timeout to external services |
conn_timeout | 0.5 | Connection timeout to external services |
network_chunk_size |
65536 |
Size of chunks to read/write over the network |
disk_chunk_size | 65536 | Size of chunks to read/write to disk |
max_upload_time | 86400 | Maximum time allowed to upload an object |
slow |
0 |
If > 0, Minimum time in seconds for a PUT or DELETE request to complete |
mb_per_sync | 512 | On PUT requests, sync file every n MB |
keep_cache_size | 5242880 | Largest object size to keep in buffer cache |
keep_cache_private |
false |
Allow non-public objects to stay in kernel's buffer cache |
threads_per_disk |
0 |
Size of the per-disk thread pool used for performing disk I/O. The default of 0 means to not use a per-disk thread pool. It is recommended to keep this value small, as large values can result in high read latencies due to large queue depths. A good starting point is 4 threads per disk. |
[object-replicator]
Option | Default | Description |
---|---|---|
log_name | object-replicator | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
daemonize |
yes |
Whether or not to run replication as a daemon |
run_pause |
30 |
Time in seconds to wait between replication passes |
concurrency | 1 | Number of replication workers to spawn |
timeout |
5 |
Timeout value sent to rsync --timeout and --contimeout options |
stats_interval |
3600 |
Interval in seconds between logging replication statistics |
reclaim_age |
604800 |
Time elapsed in seconds before an object can be reclaimed |
[object-updater]
Option | Default | Description |
---|---|---|
log_name | object-updater | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
interval | 300 | Minimum time for a pass to take |
concurrency | 1 | Number of updater workers to spawn |
node_timeout | 10 | Request timeout to external services |
conn_timeout | 0.5 | Connection timeout to external services |
slowdown | 0.01 | Time in seconds to wait between objects |
[object-auditor]
Option | Default | Description |
---|---|---|
log_name | object-auditor | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
log_time | 3600 | Frequency of status logs in seconds. |
files_per_second |
20 |
Maximum files audited per second. Should be tuned according to individual system specs. 0 is unlimited. |
bytes_per_second |
10000000 |
Maximum bytes audited per second. Should be tuned according to individual system specs. 0 is unlimited. |
Container Server Configuration
An example Container Server configuration can be found at etc/container-server.conf-sample in the source code repository.
The following configuration options are available:
[DEFAULT]
Option | Default | Description |
---|---|---|
swift_dir | /etc/swift | Swift configuration directory |
devices | /srv/node | Parent directory of where devices are mounted |
mount_check |
true |
Whether or not check if the devices are mounted to prevent accidentally writing to the root device |
bind_ip | 0.0.0.0 | IP Address for server to bind to |
bind_port | 6001 | Port for server to bind to |
bind_timeout | 30 | Seconds to attempt bind before giving up |
workers | 1 | Number of workers to fork |
max_clients |
1024 |
Maximum number of clients one worker can process simultaneously (it will actually accept(2) N + 1). Setting this to one (1) will only handle one request at a time, without accepting another request concurrently. By increasing the number of workers to a much higher value, one can reduce the impact of slow file system operations in one request from negatively impacting other requests. |
user | swift | User to run as |
disable_fallocate |
false |
Disable "fast fail" fallocate checks if the underlying filesystem does not support it. |
log_custom_handlers |
None |
Comma-separated list of functions to call to setup custom log handlers. |
eventlet_debug | false | If true, turn on debug logging for eventlet |
fallocate_reserve |
0 |
You can set fallocate_reserve to the number of bytes you'd like fallocate to reserve, whether there is space for the given file size or not. This is useful for systems that behave badly when they completely run out of space; you can make the services pretend they're out of space early. |
[container-server]
Option | Default | Description |
---|---|---|
use |
paste.deploy entry point for the container server. For most cases, this should be egg:swift#container. |
|
set log_name | container-server | Label used when logging |
set log_facility | LOG_LOCAL0 | Syslog log facility |
set log_level | INFO | Logging level |
node_timeout | 3 | Request timeout to external services |
conn_timeout | 0.5 | Connection timeout to external services |
allow_versions | false | Enable/Disable object versioning feature |
[container-replicator]
Option | Default | Description |
---|---|---|
log_name | container-replicator | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level per_diff |
INFO 1000 |
Logging level |
concurrency |
8 |
Number of replication workers to spawn |
run_pause |
30 |
Time in seconds to wait between replication passes |
node_timeout | 10 | Request timeout to external services |
conn_timeout |
0.5 |
Connection timeout to external services |
reclaim_age |
604800 |
Time elapsed in seconds before a container can be reclaimed |
[container-updater]
Option | Default | Description |
---|---|---|
log_name | container-updater | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
interval | 300 | Minimum time for a pass to take |
concurrency | 4 | Number of updater workers to spawn |
node_timeout |
3 |
Request timeout to external services |
conn_timeout |
0.5 |
Connection timeout to external services |
slowdown |
0.01 |
Time in seconds to wait between containers |
account_suppression_time |
60 |
Seconds to suppress updating an account that has generated an error (timeout, not yet found, etc.) |
[container-auditor]
Option | Default | Description |
---|---|---|
log_name | container-auditor | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
interval | 1800 | Minimum time for a pass to take |
containers_per_second |
200 |
Maximum containers audited per second. Should be tuned according to individual system specs. 0 is unlimited. |
Account Server Configuration
An example Account Server configuration can be found at etc/account-server.conf-sample in the source code repository.
The following configuration options are available:
[DEFAULT]
Option | Default | Description |
---|---|---|
swift_dir | /etc/swift | Swift configuration directory |
devices | /srv/node | Parent directory or where devices are mounted |
mount_check |
true |
Whether or not check if the devices are mounted to prevent accidentally writing to the root device |
bind_ip | 0.0.0.0 | IP Address for server to bind to |
bind_port | 6002 | Port for server to bind to |
bind_timeout | 30 | Seconds to attempt bind before giving up |
workers | 1 | Number of workers to fork |
max_clients |
1024 |
Maximum number of clients one worker can process simultaneously (it will actually accept(2) N + 1). Setting this to one (1) will only handle one request at a time, without accepting another request concurrently. By increasing the number of workers to a much higher value, one can reduce the impact of slow file system operations in one request from negatively impacting other requests. |
user | swift | User to run as |
db_preallocation |
off |
If you don't mind the extra disk space usage in overhead, you can turn this on to preallocate disk space with SQLite databases to decrease fragmentation. |
disable_fallocate |
false |
Disable "fast fail" fallocate checks if the underlying filesystem does not support it. |
log_custom_handlers |
None |
Comma-separated list of functions to call to setup custom log handlers. |
eventlet_debug | false | If true, turn on debug logging for eventlet |
fallocate_reserve |
0 |
You can set fallocate_reserve to the number of bytes you'd like fallocate to reserve, whether there is space for the given file size or not. This is useful for systems that behave badly when they completely run out of space; you can make the services pretend they're out of space early. |
[account-server]
Option | Default | Description |
---|---|---|
use |
Entry point for paste.deploy for the account server. For most cases, this should be egg:swift#account. |
|
set log_name | account-server | Label used when logging |
set log_facility | LOG_LOCAL0 | Syslog log facility |
set log_level | INFO | Logging level |
[account-replicator]
Option | Default | Description |
---|---|---|
log_name | account-replicator | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level per_diff |
INFO 1000 |
Logging level |
concurrency | 8 | Number of replication workers to spawn |
run_pause |
30 |
Time in seconds to wait between replication passes |
node_timeout | 10 | Request timeout to external services |
conn_timeout | 0.5 | Connection timeout to external services |
reclaim_age |
604800 |
Time elapsed in seconds before an account can be reclaimed |
[account-auditor]
Option | Default | Description |
---|---|---|
log_name | account-auditor | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
interval | 1800 | Minimum time for a pass to take |
accounts_per_second |
200 |
Maximum accounts audited per second. Should be tuned according to individual system specs. 0 is unlimited. |
[account-reaper]
Option | Default | Description |
---|---|---|
log_name | account-auditor | Label used when logging |
log_facility | LOG_LOCAL0 | Syslog log facility |
log_level | INFO | Logging level |
concurrency | 25 | Number of replication workers to spawn |
interval | 3600 | Minimum time for a pass to take |
node_timeout | 10 | Request timeout to external services |
conn_timeout | 0.5 | Connection timeout to external services |
delay_reaping |
0 |
Normally, the reaper begins deleting account information for deleted accounts immediately; you can set this to delay its work however. The value is in seconds, 2592000 = 30 days, for example. |
Proxy Server Configuration
An example Proxy Server configuration can be found at etc/proxy-server.conf-sample in the source code repository.
The following configuration options are available:
[DEFAULT]
Option | Default | Description |
---|---|---|
bind_ip |
0.0.0.0 |
IP Address for server to bind to |
bind_port | 80 | Port for server to bind to |
bind_timeout |
30 |
Seconds to attempt bind before giving up |
swift_dir | /etc/swift | Swift configuration directory |
workers | 1 | Number of workers to fork |
max_clients |
1024 |
Maximum number of clients one worker can process simultaneously (it will actually accept(2) N + 1). Setting this to one (1) will only handle one request at a time, without accepting another request concurrently. By increasing the number of workers to a much higher value, one can reduce the impact of slow file system operations in one request from negatively impacting other requests. |
user cert_file key_file cors_allow_origin |
swift |
User to run as Path to the ssl .crt. This should be enabled for testing purposes only. Path to the ssl .key. This should be enabled for testing purposes only. This is a list of hosts that are included with any CORS request by default and returned with the Access-Control-Allow-Origin header in addition to what the container has set. |
log_custom_handlers |
None |
Comma separated list of functions to call to setup custom log handlers. |
eventlet_debug |
false |
If true, turn on debug logging for eventlet |
[proxy-server]
Option | Default | Description |
---|---|---|
use |
Entry point for paste.deploy for the proxy server. For most cases, this should be egg:swift#proxy. |
|
set log_name | proxy-server | Label used when logging |
set log_facility | LOG_LOCAL0 | Syslog log facility |
set log_level | INFO | Log level |
set log_headers |
True |
If True, log headers in each request |
set log_handoffs |
True |
If True, the proxy will log whenever it has to failover to a handoff node |
recheck_account_existence |
60 |
Cache timeout in seconds to send memcached for account existence |
recheck_container_existence |
60 |
Cache timeout in seconds to send memcached for container existence |
object_chunk_size |
65536 |
Chunk size to read from object servers |
client_chunk_size |
65536 |
Chunk size to read from clients |
memcache_servers |
127.0.0.1:11211 |
Comma separated list of memcached servers ip:port |
node_timeout |
10 |
Request timeout to external services |
client_timeout |
60 |
Timeout to read one chunk from a client |
conn_timeout |
0.5 |
Connection timeout to external services |
error_suppression_interval |
60 |
Time in seconds that must elapse since the last error for a node to be considered no longer error limited |
error_suppression_limit |
10 |
Error count to consider a node error limited |
allow_account_management |
false |
Whether account PUTs and DELETEs are even callable |
object_post_as_copy |
true |
Set object_post_as_copy = false to turn on fast posts where only the metadata changes are stored anew and the original data file is kept in place. This makes for quicker posts; but since the container metadata isn't updated in this mode, features like container sync won't be able to sync posts. |
account_autocreate |
false |
If set to 'true' authorized accounts that do not yet exist within the Swift cluster will be automatically created. |
max_containers_per_account max_containers_whitelist |
0 |
If set to a positive value, trying to create a container when the account already has at least this maximum containers will result in a 403 Forbidden. Note: This is a soft limit, meaning a user might exceed the cap for recheck_account_existence before the 403s kick in. This is a comma separated list of account names that ignore the max_containers_per_account cap. |
rate_limit_after_segment |
10 |
Rate limit the download of large object segments after this segment is downloaded. |
rate_limit_segments_per_sec |
1 |
Rate limit large object downloads at this rate. |
request_node_count |
2 * replicas |
Set to the number of nodes to contact for a normal request. You can use '* replicas' at the end to have it use the number given times the number of replicas for the ring being used for the request. |
[tempauth]
Option | Default | Description |
---|---|---|
use |
Entry point for paste.deploy to use for auth. To use tempauth set to: egg:swift#tempauth |
|
set log_name | tempauth | Label used when logging |
set log_facility | LOG_LOCAL0 | Syslog log facility |
set log_level | INFO | Log level |
set log_headers |
True |
If True, log headers in each request |
reseller_prefix |
AUTH |
The naming scope for the auth service. Swift storage accounts and auth tokens will begin with this prefix. |
auth_prefix |
/auth/ |
The HTTP request path prefix for the auth service. Swift itself reserves anything beginning with the letter v. |
token_life |
86400 |
The number of seconds a token is valid. |
storage_url_scheme |
default |
Scheme to return with storage urls: http, https, or default (chooses based on what the server is running as) This can be useful with an SSL load balancer in front of a non-SSL server. |
Additionally, you need to list all the accounts/users you want here. The format is:
user_<account>_<user> = <key> [group] [group] [...] [storage_url]
or if you want to be able to include underscores in the
<account>
or <user>
portions, you
can base64 encode them (with no equal signs) in a line like
this:
user64_<account_b64>_<user_b64> = <key> [group] [group] [...] [storage_url]
There are special groups of:
.reseller_admin = can do anything to any account for this auth
.admin = can do anything within the account
If neither of these groups are specified, the user can only access containers that have been explicitly allowed for them by a .admin or .reseller_admin.
The trailing optional storage_url allows you to specify an alternate url to hand back to the user upon authentication. If not specified, this defaults to:
$HOST/v1/<reseller_prefix>_<account>
Where $HOST will do its best to resolve to what the requester would need to use to reach this host, <reseller_prefix> is from this section, and <account> is from the user<account>_<user> name. Note that $HOST cannot possibly handle when you have a load balancer in front of it that does https while TempAuth itself runs with http; in such a case, you'll have to specify the storage_url_scheme configuration value as an override.
Here are example entries, required for running the tests:
user_admin_admin = admin .admin .reseller_admin
user_test_tester = testing .admin
user_test2_tester2 = testing2 .admin
user_test_tester3 = testing3
# account "test_y" and user "tester_y" (note the lack of padding = chars)
user64_dGVzdF95_dGVzdGVyX3k = testing4 .admin
Memcached Considerations
Several of the Services rely on Memcached for caching certain types of lookups, such as auth tokens, and container/account existence. Swift does not do any caching of actual object data. Memcached should be able to run on any servers that have available RAM and CPU. At Rackspace, we run Memcached on the proxy servers. The memcache_servers config option in the proxy-server.conf should contain all memcached servers.
System Time
Time may be relative but it is relatively important for Swift! Swift uses timestamps to determine which is the most recent version of an object. It is very important for the system time on each server in the cluster to by synced as closely as possible (more so for the proxy server, but in general it is a good idea for all the servers). At Rackspace, we use NTP with a local NTP server to ensure that the system times are as close as possible. This should also be monitored to ensure that the times do not vary too much.
General Service Tuning
Most services support either a worker or concurrency value in the settings. This allows the services to make effective use of the cores available. A good starting point to set the concurrency level for the proxy and storage services to 2 times the number of cores available. If more than one service is sharing a server, then some experimentation may be needed to find the best balance.
At Rackspace, our Proxy servers have dual quad core processors, giving us 8 cores. Our testing has shown 16 workers to be a pretty good balance when saturating a 10g network and gives good CPU utilization.
Our Storage servers all run together on the same servers. These servers have dual quad core processors, for 8 cores total. We run the Account, Container, and Object servers with 8 workers each. Most of the background jobs are run at a concurrency of 1, with the exception of the replicators which are run at a concurrency of 2.
The max_clients parameter can be used to adjust the number of client requests an individual worker accepts for processing. The fewer requests being processed at one time, the less likely a request that consumes the worker's CPU time, or blocks in the OS, will negatively impact other requests. The more requests being processed at one time, the more likely one worker can utilize network and disk capacity.
On systems that have more cores, and more memory, where one can afford to run more workers, raising the number of workers and lowering the maximum number of clients serviced per worker can lessen the impact of CPU intensive or stalled requests.
The above configuration setting should be taken as suggestions and testing of configuration settings should be done to ensure best utilization of CPU, network connectivity, and disk I/O.
Filesystem Considerations
Swift is designed to be mostly filesystem agnostic--the only requirement being that the filesystem supports extended attributes (xattrs). After thorough testing with our use cases and hardware configurations, XFS was the best all-around choice. If you decide to use a filesystem other than XFS, we highly recommend thorough testing.
If you are using XFS, some settings that can dramatically impact performance. We recommend the following when creating the XFS partition:
mkfs.xfs -i size=1024 -f /dev/sda1
Setting the inode size is important, as XFS stores xattr data in the inode. If the metadata is too large to fit in the inode, a new extent is created, which can cause quite a performance problem. Upping the inode size to 1024 bytes provides enough room to write the default metadata, plus a little headroom. We do not recommend running Swift on RAID, but if you are using RAID it is also important to make sure that the proper sunit and swidth settings get set so that XFS can make most efficient use of the RAID array.
We also recommend the following example mount options when using XFS:
mount -t xfs -o noatime,nodiratime,nobarrier,logbufs=8 /dev/sda1 /srv/node/sda
For a standard swift install, all data drives are mounted directly under /srv/node (as can be seen in the above example of mounting /def/sda1 as /srv/node/sda). If you choose to mount the drives in another directory, be sure to set the devices config option in all of the server configs to point to the correct directory.
Swift uses system calls to reserve space for new objects being written into the system. If your filesystem does not support fallocate() or posix_fallocate(), be sure to set the disable_fallocate = true config parameter in account, container, and object server configs.
General System Tuning
Rackspace currently runs Swift on Ubuntu Server 10.04, and the following changes have been found to be useful for our use cases.
The following settings should be in `/etc/sysctl.conf`:
# disable TIME_WAIT.. wait..
net.ipv4.tcp_tw_recycle=1
net.ipv4.tcp_tw_reuse=1
# disable syn cookies
net.ipv4.tcp_syncookies = 0
# double amount of allowed conntrack
net.ipv4.netfilter.ip_conntrack_max = 262144
To load the updated sysctl settings, run
sudo sysctl -p
A note about changing the TIME_WAIT values. By default the OS will hold a port open for 60 seconds to ensure that any remaining packets can be received. During high usage, and with the number of connections that are created, it is easy to run out of ports. We can change this since we are in control of the network. If you are not in control of the network, or do not expect high loads, then you may not want to adjust those values.
Logging Considerations
Swift is set up to log directly to syslog. Every service can be configured with the log_facility option to set the syslog log facility destination. We recommended using syslog-ng to route the logs to specific log files locally on the server and also to remote log collecting servers. Additionally, custom log handlers can be used via the custom_log_handlers setting.