Interoperable Image Import¶
Version 2.6 of the Image Service API introduces new API calls that implement an interoperable image import process. These API calls, and the workflow for using them, are described in the Interoperable Image Import section of the Image Service API reference. That documentation explains the end user’s view of interoperable image import. In this section, we discuss what configuration options are available to operators.
The interoperable image import process uses Glance tasks, but does not require that the Tasks API be exposed to end users. Further, it requires the taskflow task executor. The following configuration options must be set:
in the
[task]
option group:task_executor
must either be set to taskflow or be used in its default value
in the
[taskflow_executor]
options group:The default values are fine. It’s a good idea to read through the descriptions in the sample glance-api.conf file to see what options are available.
Note
You can find an example glance-api.conf file in the etc/ subdirectory of the Glance source code tree. Make sure that you are looking in the correct branch for the OpenStack release you are working with.
in the default options group:
node_staging_uri
must specify a location writable by the glance user. If you have multiple Glance API nodes, this should be a reference to a shared filesystem available to all the nodes.enabled_import_methods
must specify the import methods you are exposing at your installation. The default value for this setting is['glance-direct','web-download']
. See the next section for a description of these import methods.
Additionally, your policies must be such that an ordinary end user can manipulate tasks. In releases prior to Pike, we recommended that the task-related policies be admin-only so that end users could not access the Tasks API. In Pike, a new policy was introduced that controls access to the Tasks API. Thus it is now possible to keep the individual task policies unrestricted while not exposing the Tasks API to end users. Thus, the following is the recommended configuration for the task-related policies:
"get_task": "",
"get_tasks": "",
"add_task": "",
"modify_task": "",
"tasks_api_access": "role:admin",
Image Import Methods¶
Glance provides three import methods that you can make available to your
users: glance-direct
, web-download
and copy-image
. By default,
all three methods are enabled.
The
glance-direct
import method allows your users to upload image data directly to Glance.The
web-download
method allows an end user to import an image from a remote URL. The image data is retrieved from the URL and stored in the Glance backend. (In other words, this is a copy-from operation.)Note
The
web-download
import method replaces the copy-from functionality that was available in the Image API v1 but previously absent from v2. Additionally, the Image API v1 was removed in Glance 17.0.0 (Rocky).The
copy-image
method allows and end user to copy existing image to other Glance backends available in deployment. This import method is only used if multiple glance backends are enabled in your deployment.
You control which methods are available to API users by the
enabled_import_methods
configuration option in the default section of the
glance-api.conf file.
Configuring the glance-direct method¶
For the glance-direct
method, make sure that glance-direct
is included
in the list specified by your enabled_import_methods
setting, and that all
the options described above are set properly.
Configuring the web-download method¶
To enable the web-download
import method, make sure that it is included in
the list of methods in the enabled_import_methods
option, and that all the
options described above are set properly.
Note
You must configure the node_staging_uri
for the web-download
import
method because that is where Glance will store the downloaded content.
This gives you the opportunity to have the image data be processed by the
same plugin chain for each of the import methods. See Copying existing-image in multiple stores
for more information.
Additionally, you have the following configuration available.
Depending on the nature of your cloud and the sophistication of your users, you may wish to restrict what URIs they may use for the web-download import method.
Note
You should be aware of OSSN-0078, “copy_from in Image Service API v1 allows network port scan”. The v1 copy_from feature does not have the configurability described here.
You can do this by configuring options in the
[import_filtering_opts]
section of the glance-image-import.conf file.
Note
The glance-image-import.conf is an optional file. (See below for a discussion of the default settings if you don’t include this file.)
You can find an example file named glance-image-import.conf.sample in the etc/ subdirectory of the Glance source code tree. Make sure that you are looking in the correct branch for the OpenStack release you are working with.
You can whitelist (“allow only these”) or blacklist (“do not allow these”) at three levels:
scheme (
allowed_schemes
,disallowed_schemes
)host (
allowed_hosts
,disallowed_hosts
)port (
allowed_ports
,disallowed_ports
)
There are six configuration options, but the way it works is that if you specify both at any level, the whitelist is honored and the blacklist is ignored. (So why have both? Well, you may want to whitelist a scheme, but blacklist a host, and whitelist a particular port.)
Validation of a URI happens as follows:
The scheme is checked.
missing scheme: reject
If there’s a whitelist, and the scheme is not in it: reject. Otherwise, skip c and continue on to 2.
If there’s a blacklist, and the scheme is in it: reject.
The hostname is checked.
missing hostname: reject
If there’s a whitelist, and the host is not in it: reject. Otherwise, skip c and continue on to 3.
If there’s a blacklist, and the host is in it: reject.
If there’s a port in the URI, the port is checked.
If there’s a whitelist, and the port is not in it: reject. Otherwise, skip b and continue on to 4.
If there’s a blacklist, and the port is in it: reject.
The URI is accepted as valid.
Note that if you allow a scheme, either by whitelisting it or by not blacklisting it, any URI that uses the default port for that scheme by not including a port in the URI is allowed. If it does include a port in the URI, the URI will be validated according to the above rules.
Default settings¶
The glance-image-import.conf is an optional file. Here are the default settings for these options:
allowed_schemes
-['http', 'https']
disallowed_schemes
- empty listallowed_hosts
- empty listdisallowed_hosts
- empty listallowed_ports
-[80, 443]
disallowed_ports
- empty list
Thus if you use the defaults, end users will only be able to access URIs using the http or https scheme. The only ports users will be able to specify are 80 and 443. (Users do not have to specify a port, but if they do, it must be either 80 or 443.)
Note
The glance-image-import.conf is an optional file. You can find an example file named glance-image-import.conf.sample in the etc/ subdirectory of the Glance source code tree. Make sure that you are looking in the correct branch for the OpenStack release you are working with.
Configuring the copy-image method¶
For the copy-image
method, make sure that copy-image
is included
in the list specified by your enabled_import_methods
setting as well
as you have multiple glance backends configured in your environment.
Copying existing-image in multiple stores¶
Starting with Ussuri release, it is possible to copy existing image data into multiple stores using interoperable image import workflow.
Operator or end user can either copy the existing image by specifying
all_stores
as True in request body or by passing list of desired
stores in request body. If all_stores
is specified and image data
is already present in some of the available stores then those stores
will be silently excluded from the list of all configured stores, whereas
if all_stores
is False, stores
are specified in explicitly in
request body and if image data is present in any of the specified store
then the request will be rejected. In case of all_stores
is specified
in request body and cloud operator has also configured a read-only
http
store then it will be excluded explicitly.
Image will be copied to staging area from one of the available locations
and then import processing will be continued using import workflow as
explained in below Importing in multiple stores
section.
Importing in multiple stores¶
Starting with Ussuri, it is possible to import data into multiple stores using interoperable image import workflow.
The status of the image is set to active
according to the value of
all_stores_must_succeed
parameter.
If set to False: the image will be available as soon as an import to one store has succeeded.
If set to True (default): the status is set to
active
only when all stores have been successfully treated.
Check progress¶
As each store is treated sequentially, it can take quite some time for the workflow to complete depending on the size of the image and the number of stores to import data to. It is possible to follow task progress by looking at 2 reserved image properties:
os_glance_importing_to_stores
: This property contains a list of stores that has not yet been processed. At the beginning of the import flow, it is filled with the stores provided in the request. Each time a store is fully handled, it is removed from the list.os_glance_failed_import
: Each time an import in a store fails, it is added to this list. This property is emptied at the beginning of the import flow.
These 2 properties are also available in the notifications sent during the workflow:
Note
Example
An operator calls the import image api with the following parameters:
curl -i -X POST -H "X-Auth-Token: $token"
-H "Content-Type: application/json"
-d '{"method": {"name":"glance-direct"},
"stores": ["ceph1", "ceph2"],
"all_stores_must_succeed": false}'
$image_url/v2/images/{image_id}/import
The upload fails for ‘ceph2’ but succeed on ‘ceph1’. Since the parameter
all_stores_must_succeed
has been set to ‘false’, the task ends
successfully and the image is now active.
Notifications sent by glance looks like (payload is truncated for clarity):
{
"priority": "INFO",
"event_type": "image.prepare",
"timestamp": "2019-08-27 16:10:30.066867",
"payload": {"status": "importing",
"name": "example",
"backend": "ceph1",
"os_glance_importing_to_stores": ["ceph1", "ceph2"],
"os_glance_failed_import": [],
...},
"message_id": "1c8993ad-e47c-4af7-9f75-fa49596eeb10",
...
}
{
"priority": "INFO",
"event_type": "image.upload",
"timestamp": "2019-08-27 16:10:32.058812",
"payload": {"status": "active",
"name": "example",
"backend": "ceph1",
"os_glance_importing_to_stores": ["ceph2"],
"os_glance_failed_import": [],
...},
"message_id": "8b8993ad-e47c-4af7-9f75-fa49596eeb11",
...
}
{
"priority": "INFO",
"event_type": "image.prepare",
"timestamp": "2019-08-27 16:10:33.066867",
"payload": {"status": "active",
"name": "example",
"backend": "ceph2",
"os_glance_importing_to_stores": ["ceph2"],
"os_glance_failed_import": [],
...},
"message_id": "1c8993ad-e47c-4af7-9f75-fa49596eeb18",
...
}
{
"priority": "ERROR",
"event_type": "image.upload",
"timestamp": "2019-08-27 16:10:34.058812",
"payload": "Error Message",
"message_id": "8b8993ad-e47c-4af7-9f75-fa49596eeb11",
...
}
Customizing the image import process¶
When a user issues the image-import call, Glance retrieves the staged image data, processes it, and saves the result in the backing store. You can customize the nature of this processing by using plugins. Some plugins are provided by the Glance project team, you can use third-party plugins, or you can write your own.
Technical information¶
The import step of interoperable image import is performed by a Taskflow
“flow” object. This object, provided by Glance, will call any plugins you have
specified in the glance-image-import.conf
file. The plugins are loaded by
Stevedore and must be listed in the entry point registry in the namespace
glance.image_import.plugins
. (If you are using only plugins provided by
the Glance project team, these are already registered for you.)
A plugin must be written in Python as a Taskflow “Task” object. The file
containing this object must be present in the glance/async_/flows/plugins
directory. The plugin file must contain a get_flow
function that returns a
Taskflow Task object wrapped in a linear flow. See the no_op
plugin,
located at glance/async_/flows/plugins/no_op.py
for an example of how to do
this.
Specifying the plugins to be used¶
First, the plugin code must exist in the directory
glance/async_/flows/plugins
. The name of a plugin is the filename (without
extension) of the file containing the plugin code. For example, a file named
fred_mertz.py
would contain the plugin fred_mertz
.
Second, the plugin must be listed in the entry point list for the
glance.image_import.plugins
namespace. (If you are using only plugins
provided with Glance, this will have already been done for you, but it never
hurts to check.) The entry point list is in setup.cfg
. Find the section
with the heading [entry_points]
and look for the line beginning with
glance.image_import.plugins =
. It will be followed by a series of lines
of the form:
<plugin-name> = <module-package-name>:get_flow
For example:
no_op = glance.async_.flows.plugins.no_op:get_flow
Make sure any plugin you want to use is included here.
Third, the plugin must be listed in the glance-image-import.conf
file as
one of the plugin names in the list providing the value for the
image_import_plugins
option. Plugins are executed in the order they are
specified in this list.
The Image Property Injection Plugin¶
release introduced |
Queens (Glance 16.0.0) |
configuration file |
|
configuration file section |
|
This plugin implements the Glance spec Inject metadata properties automatically to non-admin images. One use case for this plugin is a situation where an operator wants to put specific metadata on images imported by end users so that virtual machines booted from these images will be located on specific compute nodes. Since it’s unlikely that an end user (the image owner) will know the appropriate properties or values, an operator may use this plugin to inject the properties automatically upon image import.
Note
This plugin may only be used as part of the interoperable image import
workflow (POST v2/images/{image_id}/import
). It has no effect on the
image data upload call (PUT v2/images/{image_id}/file
).
You can guarantee that your end users must use interoperable image import by
restricting the upload_image
policy appropriately in the Glance
policy.json
file. By default, this policy is unrestricted (that is,
any authorized user may make the image upload call).
For example, to allow only admin or service users to make the image upload call, the policy could be restricted as follows:
"upload_image": "role:admin or (service_user_id:<uuid of nova user>) or
(service_roles:<service user role>)"
where “service_role” is the role which is created for the service user and assigned to trusted services.
To use the Image Property Injection Plugin, the following configuration is required.
You will need to configure ‘glance-image-import.conf’ file as shown below:
[image_import_opts] image_import_plugins = [inject_image_metadata] [inject_metadata_properties] ignore_user_roles = admin,... inject = "property1":"value1","property2":"value2",...
The first section,
image_import_opts
, is used to enable the plugin by specifying the plugin name as one of the elements of the list that is the value of the image_import_plugins parameter. The plugin name is simply the module name under glance/async_/flows/plugins/The second section,
inject_metadata_properties
, is where you set the parameters for the injection plugin. (Note that the values you specify here only have an effect if the plugin has been enabled in theimage_import_plugins
list as described above.)ignore_user_roles
is a comma-separated list of Keystone roles that the plugin will ignore. In other words, if the user making the image import call has any of these roles, the plugin will not inject any properties into the image.inject
is a comma-separated list of properties and values that will be injected into the image record for the imported image. Each property and value should be quoted and separated by a colon (‘:’) as shown in the example above.
If your use case is such that you don’t want to allow end-users to create, modify, or delete metadata properties that you are injecting during the interoperable image import process, you will need to protect these properties using the Glance property protection feature (available since the Havana release).
For example, suppose there is a property named ‘property1’ that you want injected during import, but you only want an administrator or service user to be able to create this property, and you want only an administrator to be able to modify or delete it. You could accomplish this by adding the following to the property protection configuration file:
[property1] create = admin,service_role read = admin,service_role,member,_member_ update = admin delete = admin
See the Property Protections section of this Guide for more information.
The Image Conversion¶
release introduced |
Rocky (Glance 17.0.0) |
configuration file |
|
configuration file section |
|
This plugin implements automated image conversion for Interoperable Image Import. One use case for this plugin would be environments where Ceph is used as image back-end and operators want to optimize the back-end capabilities by ensuring that all images will be in raw format while not putting the burden of converting the images to their end users.
Note
This plugin may only be used as part of the interoperable image import
workflow (POST v2/images/{image_id}/import
). It has no effect on the
image data upload call (PUT v2/images/{image_id}/file
).
You can guarantee that your end users must use interoperable image import by
restricting the upload_image
policy appropriately in the Glance
policy.json
file. By default, this policy is unrestricted (that is,
any authorized user may make the image upload call).
For example, to allow only admin or service users to make the image upload call, the policy could be restricted as follows:
"upload_image": "role:admin or (service_user_id:<uuid of nova user>) or
(service_roles:<service user role>)"
where “service_role” is the role which is created for the service user and assigned to trusted services.
To use the Image Conversion Plugin, the following configuration is required.
You will need to configure ‘glance-image-import.conf’ file as shown below:
[image_import_opts]
image_import_plugins = ['image_conversion']
[image_conversion]
output_format = raw
Note
The default output format is raw in which case there is no need to have ‘image_conversion’ section and its ‘output_format’ defined in the config file.
The input format needs to be one of the qemu-img supported ones for this feature to work. In case of qemu-img call failing on the source image the import process will fail if ‘image_conversion’ plugin is enabled.
Note
image_import_plugins
config option is a list and multiple plugins can be
enabled for the import flow. The plugins are not run in parallel. One can
enable multiple plugins by configuring them in the
glance-image-import.conf
for example as following:
[image_import_opts]
image_import_plugins = ['inject_image_metadata', 'image_conversion']
[inject_metadata_properties]
ignore_user_roles = admin,...
inject = "property1":"value1","property2":"value2",...
[image_conversion]
output_format = raw
The Image Decompression¶
release introduced |
Ussuri (Glance 20.0.0) |
configuration file |
|
This plugin implements automated image decompression for Interoperable Image Import. One use case for this plugin would be environments where user or operator wants to use ‘web-download’ method and the image provider supplies only compressed images.
Note
This plugin may only be used as part of the interoperable image import
workflow (POST v2/images/{image_id}/import
). It has no effect on the
image data upload call (PUT v2/images/{image_id}/file
).
You can guarantee that your end users must use interoperable image import by
restricting the upload_image
policy appropriately in the Glance
policy.json
file. By default, this policy is unrestricted (that is,
any authorized user may make the image upload call).
For example, to allow only admin or service users to make the image upload call, the policy could be restricted as follows:
"upload_image": "role:admin or (service_user_id:<uuid of nova user>) or
(service_roles:<service user role>)"
where “service_role” is the role which is created for the service user and assigned to trusted services.
Note
The plugin will not decompressed images which container_format is set to ‘compressed’ to maintain the original intent of the image creator.
To use the Image Decompression Plugin, the following configuration is required.
You will need to add “image_decompression” to ‘glance-image-import.conf’ file as shown below:
[image_import_opts]
image_import_plugins = ['image_decompression']
Note
The supported archive types for Image Decompression are zip, lha/lzh and gzip. Currently the plugin does not support multi-layered archives (like tar.gz). Lha/lzh is only supported in case python3 lhafile dependency library is installed, absence of this dependency will fail the import job where lha file is provided. (In this case we know it won’t be bootable as the image is compressed and we do not have means to decompress it.)
Note
image_import_plugins
config option is a list and multiple plugins can be
enabled for the import flow. The plugins are not run in parallel. One can
enable multiple plugins by configuring them in the
glance-image-import.conf
for example as following:
[image_import_opts]
image_import_plugins = ['image_decompression', 'image_conversion']
[image_conversion]
output_format = raw
If Image Conversion is used together, decompression must happen first, this is ensured by ordering the plugins.