ComputeDriver.update_provider_tree¶
This provides details on the ComputeDriver
abstract method
update_provider_tree
for developers implementing this method in their own
virt drivers.
Background¶
In the movement towards using placement for scheduling and resource management,
the virt driver method get_available_resource
was initially superseded by
get_inventory
(now gone), whereby the driver could specify its inventory in
terms understood by placement. In Queens, a get_traits
driver method was
added. But get_inventory
was limited to expressing only inventory (not
traits or aggregates). And both of these methods were limited to the resource
provider corresponding to the compute node.
Developments such as Nested Resource Providers necessitate the ability
for the virt driver to have deeper control over what the resource tracker
configures in placement on behalf of the compute node. This need is filled by
the virt driver method update_provider_tree
and its consumption by the
resource tracker, allowing full control over the placement representation of
the compute node and its associated providers.
The Method¶
update_provider_tree
accepts the following parameters:
A
nova.compute.provider_tree.ProviderTree
object representing all the providers in the tree associated with the compute node, and any sharing providers (those with theMISC_SHARES_VIA_AGGREGATE
trait) associated via aggregate with any of those providers (but not their tree- or aggregate-associated providers), as currently known by placement. This object is fully owned by theupdate_provider_tree
method, and can therefore be modified without locking/concurrency considerations. In other words, the parameter is passed by reference with the expectation that the virt driver will modify the object. Note, however, that it may contain providers not directly owned/controlled by the compute host. Care must be taken not to remove or modify such providers inadvertently. In addition, providers may be associated with traits and/or aggregates maintained by outside agents. Theupdate_provider_tree
method must therefore also be careful only to add/remove traits/aggregates it explicitly controls.String name of the compute node (i.e.
ComputeNode.hypervisor_hostname
) for which the caller is requesting updated provider information. Drivers may use this to help identify the compute node provider in the ProviderTree. Drivers managing more than one node (e.g. ironic) may also use it as a cue to indicate which node is being processed by the caller.Dictionary of
allocations
data of the form:{ $CONSUMER_UUID: { # The shape of each "allocations" dict below is identical # to the return from GET /allocations/{consumer_uuid} "allocations": { $RP_UUID: { "generation": $RP_GEN, "resources": { $RESOURCE_CLASS: $AMOUNT, ... }, }, ... }, "project_id": $PROJ_ID, "user_id": $USER_ID, "consumer_generation": $CONSUMER_GEN, }, ... }
If
None
, and the method determines that any inventory needs to be moved (from one provider to another and/or to a different resource class), theReshapeNeeded
exception must be raised. Otherwise, this dict must be edited in place to indicate the desired final state of allocations. Drivers should only edit allocation records for providers whose inventories are being affected by the reshape operation. For more information about the reshape operation, refer to the spec.
The virt driver is expected to update the ProviderTree object with current resource provider and inventory information. When the method returns, the ProviderTree should represent the correct hierarchy of nested resource providers associated with this compute node, as well as the inventory, aggregates, and traits associated with those resource providers.
Note
Despite the name, a ProviderTree instance may in fact contain more
than one tree. For purposes of this specification, the ProviderTree
passed to update_provider_tree
will contain:
the entire tree associated with the compute node; and
any sharing providers (those with the
MISC_SHARES_VIA_AGGREGATE
trait) which are associated via aggregate with any of the providers in the compute node’s tree. The sharing providers will be presented as lone roots in the ProviderTree, even if they happen to be part of a tree themselves.
Consider the example below. SSP
is a shared storage provider and
BW1
and BW2
are shared bandwidth providers; all three have
the MISC_SHARES_VIA_AGGREGATE
trait:
CN1 SHR_ROOT CN2
/ \ agg1 / /\ agg1 / \
NUMA1 NUMA2--------SSP--/--\-----------NUMA1 NUMA2
/ \ / \ / \ / \ / \
PF1 PF2 PF3 PF4--------BW1 BW2------PF1 PF2 PF3 PF4
agg2 agg3
When update_provider_tree
is invoked for CN1
, it is passed a
ProviderTree containing:
CN1 (root)
/ \ agg1
NUMA1 NUMA2-------SSP (root)
/ \ / \
PF1 PF2 PF3 PF4------BW1 (root)
agg2
Driver implementations of update_provider_tree
are expected to use public
ProviderTree
methods to effect changes to the provider tree passed in.
Some of the methods which may be useful are as follows:
new_root
: Add a new root provider to the tree.new_child
: Add a new child under an existing provider.data
: Access information (name, UUID, parent, inventory, traits, aggregates) about a provider in the tree.remove
: Remove a provider and its descendants from the tree. Use caution in multiple-ownership scenarios.update_inventory
: Set the inventory for a provider.add_traits
,remove_traits
: Set/unset virt-owned traits for a provider.add_aggregates
,remove_aggregates
: Set/unset virt-owned aggregate associations for a provider.
Note
There is no supported mechanism for update_provider_tree
to
effect changes to allocations. This is intentional: in Nova,
allocations are managed exclusively outside of virt. (Usually by the
scheduler; sometimes - e.g. for migrations - by the conductor.)
Porting from get_inventory¶
Virt driver developers wishing to move from get_inventory
to
update_provider_tree
should use the ProviderTree.update_inventory
method, specifying the compute node as the provider and the same inventory as
returned by get_inventory
. For example:
def get_inventory(self, nodename):
inv_data = {
'VCPU': { ... },
'MEMORY_MB': { ... },
'DISK_GB': { ... },
}
return inv_data
would become:
def update_provider_tree(self, provider_tree, nodename, allocations=None):
inv_data = {
'VCPU': { ... },
'MEMORY_MB': { ... },
'DISK_GB': { ... },
}
provider_tree.update_inventory(nodename, inv_data)
When reporting inventory for the standard resource classes VCPU
,
MEMORY_MB
and DISK_GB
, implementors of update_provider_tree
may
need to set the allocation_ratio
and reserved
values in the
inv_data
dict based on configuration to reflect changes on the compute
for allocation ratios and reserved resource amounts back to the placement
service.
Porting from get_traits¶
To replace get_traits
, developers should use the
ProviderTree.add_traits
method, specifying the compute node as the
provider and the same traits as returned by get_traits
. For example:
def get_traits(self, nodename):
traits = ['HW_CPU_X86_AVX', 'HW_CPU_X86_AVX2', 'CUSTOM_GOLD']
return traits
would become:
def update_provider_tree(self, provider_tree, nodename, allocations=None):
provider_tree.add_traits(
nodename, 'HW_CPU_X86_AVX', 'HW_CPU_X86_AVX2', 'CUSTOM_GOLD')
Taxonomy of traits and capabilities¶
There are various types of traits:
Some are standard (registered in os-traits); others are custom.
Some are owned by the compute service; others can be managed by operators.
Some come from driver-supported capabilities, via a mechanism which was introduced to convert them to standard traits on the compute node resource provider. This mechanism is documented in the configuration guide.
This diagram may shed further light on how these traits relate to each other and how they are managed.