GPU enabled hosts from non-GPU VM deployment.
Cluster reordering is based on the number of unique host tags in a cluster,
cluster with most number of unique host tags will put at the end of list.
Hosts with GPU capability will get tagged with implicit tags defined by
global config param 'implicit.host.tags' at the time os host discovery.
Also added FirstFitPlannerTest unit test file.
While expunging a volume, CS chooses the endpoint to perform delete operation by selecting any host that has the storage containing the volume mounted on it.
Instead, if the volume to be deleted is attached to a VM, the endpoint chosen by CCP should be the host that contains the VM.
(outside cloudstack), the state of the vm is not updated in cloudstack db. The
ping task was not checking for resource (host) status by default. The power
state of the vms is returned as part of the resource status. Fixed the issue by
making sure ping task atleast tries once to get the resource status.
Separate global config to enable/disable Storage Migration during normal deployment
Introduced a configuration parameter named enable.storage.migration
This adds an upgrade path from 4.3.1 to 4.4.0, the implementation of which
simply extends the Upgrade430to440 as there was no schema change between 4.3.0
and 4.3.1
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
(cherry picked from commit 208399354fa82513e2fb70738cb6eee8454ea3a5)
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
In vm secondary ips case static nat configured to vm primary/secondary ips
IP1-->vm1Ip1, IP2-->vm1Ip2
While destroying vm deleting all static nats associated with the vm
1. While destroying a ROOT volume do the lookup of the associated VM under the DC and not just cluster.
2. In case of VMware, during VM start if a volume is being recreated no need to detach the old volume because
we now expunge it immediately and don't wait for the storage cleanup task to run.
- Check to see if network is implemented changed from 'state == Implementing||Implemented' to 'state == Implemented'.
The earlier check was a hack to prevent the issue described below.
- At the time of implementing network (using implementNetwork() method), if the VR needs to be deployed then it follows
the same path of regular VM deployment. This leads to a nested call to implementNetwork() while preparing VR nics. This
flow creates issues in dealing with network state transitions. The original call puts network in "Implementing" state
and then the nested call again tries to put it into same state resulting in issues. In order to avoid it, implementNetwork()
call for VR is replaced with below code.
