nova/doc/source/placement.rst
Dan Smith c604a6cf16 Remove service version check for Ocata/Newton placement decisions
In Ocata, the filter scheduler would not consult placement until all of
the computes had been upgraded. That check no longer makes sense in Pike
and isn't multi-cell-aware anyway. This removes that check.

Change-Id: Ia1a0066dc30025c02553584a077365b28d8ff80e
2017-02-20 13:21:58 -08:00

10 KiB

Placement API

Overview

Nova introduced the placement API service in the 14.0.0 Newton release. This is a separate REST API stack and data model used to track resource provider inventories and usages, along with different classes of resources. For example, a resource provider can be a compute node, a shared storage pool, or an IP allocation pool. The placement service tracks the inventory and usage of each provider. For example, an instance created on a compute node may be a consumer of resources such as RAM and CPU from a compute node resource provider, disk from an external shared storage pool resource provider and IP addresses from an external IP pool resource provider.

The types of resources consumed are tracked as classes. The service provides a set of standard resource classes (for example DISK_GB, MEMORY_MB, and VCPU) and provides the ability to define custom resource classes as needed.

References

The following specifications are based on Newton work and while they present the idea or overview for the design, implementation details may have changed or be partially complete at this time.

The following specifications are based on Ocata work and are subject to change.

Deployment

The placement-api service must be deployed at some point after you have upgraded to the 14.0.0 Newton release but before you can upgrade to the 15.0.0 Ocata release. This is so that the resource tracker in the nova-compute service can populate resource provider (compute node) inventory and allocation information which will be used by the nova-scheduler service in Ocata.

Steps

1. Deploy the API service

At this time the placement API code is still in Nova alongside the compute REST API code (nova-api). So once you have upgraded nova-api to Newton you already have the placement API code, you just need to install the service. Nova provides a nova-placement-api WSGI script for running the service with Apache.

Note

The placement API service is currently developed within Nova but it is designed to be as separate as possible from the existing code so that it can eventually be split into a separate project.

2. Synchronize the database

In the Newton release the Nova api database is the only deployment option for the placement API service and the resources it manages. After upgrading the nova-api service for Newton and running the nova-manage api_db sync command the placement tables will be created.

Note

There are plans to add the ability to run the placement service with a separate placement database that would just have the tables necessary for that service and not everything else that goes into the Nova api database.

3. Create accounts and update the service catalog

Create a placement service user with an admin role in Keystone.

The placement API is a separate service and thus should be registered under a placement service type in the service catalog as that is what the resource tracker in the nova-compute node will use to look up the endpoint.

Devstack sets up the placement service on the default HTTP port (80) with a /placement prefix instead of using an independent port.

4. Configure and restart nova-compute services

The 14.0.0 Newton nova-compute service code will begin reporting resource provider inventory and usage information as soon as the placement API service is in place and can respond to requests via the endpoint registered in the service catalog.

nova.conf on the compute nodes must be updated in the [placement] group to contain credentials for making requests from nova-compute to the placement-api service.

Note

After upgrading nova-compute code to Newton and restarting the service, the nova-compute service will attempt to make a connection to the placement API and if that is not yet available a warning will be logged. The nova-compute service will keep attempting to connect to the placement API, warning periodically on error until it is successful. Keep in mind that Placement is optional in Newton, but required in Ocata, so the placement service should be enabled before upgrading to Ocata. nova.conf on the compute nodes will need to be updated in the [placement] group for credentials to make requests from nova-compute to the placement-api service.

References

The following changes were made to devstack (from oldest to newest) to enable the placement-api service and can serve as a guide for your own deployment.

https://review.openstack.org/#/c/342362/

https://review.openstack.org/#/c/363335/

https://review.openstack.org/#/c/363724/

Upgrade Notes

The follow sub-sections provide notes on upgrading to a given target release.

Note

As a reminder, the nova-status upgrade check tool can be used to help determine the status of your deployment and how ready it is to perform an upgrade.

Ocata (15.0.0)

  • The nova-compute service will fail to start in Ocata unless the [placement] section of nova.conf on the compute is configured. As mentioned in the deployment steps above, the Placement service should be deployed by this point so the computes can register and start reporting inventory and allocation information. If the computes are deployed and configured before the Placement service, they will continue to try and reconnect in a loop so that you do not need to restart the nova-compute process to talk to the Placement service after the compute is properly configured.
  • The nova.scheduler.filter_scheduler.FilterScheduler in Ocata will fallback to not using the Placement service as long as there are older nova-compute services running in the deployment. This allows for rolling upgrades of the computes to not affect scheduling for the FilterScheduler. However, the fallback mechanism will be removed in the 16.0.0 Pike release such that the scheduler will make decisions based on the Placement service and the resource providers (compute nodes) registered there. This means if the computes are not reporting into Placement by Pike, build requests will fail with NoValidHost errors.
  • While the FilterScheduler technically depends on the Placement service in Ocata, if you deploy the Placement service after you upgrade the nova-scheduler service to Ocata and restart it, things will still work. The scheduler will gracefully handle the absence of the Placement service. However, once all computes are upgraded, the scheduler not being able to make requests to Placement will result in NoValidHost errors.
  • It is currently possible to exclude the CoreFilter, RamFilter and DiskFilter from the list of enabled FilterScheduler filters such that scheduling decisions are not based on CPU, RAM or disk usage. Once all computes are reporting into the Placement service, however, and the FilterScheduler starts to use the Placement service for decisions, those excluded filters are ignored and the scheduler will make requests based on VCPU, MEMORY_MB and DISK_GB inventory. If you wish to effectively ignore that type of resource for placement decisions, you will need to adjust the corresponding cpu_allocation_ratio, ram_allocation_ratio, and/or disk_allocation_ratio configuration options to be very high values, e.g. 9999.0.
  • Users of CellsV1 will need to deploy a placement per cell, matching the scope and cardinality of the regular nova-scheduler process.

Pike (16.0.0)

  • The nova.scheduler.filter_scheduler.FilterScheduler in Pike will no longer fall back to not using the Placement Service, even if older computes are running in the deployment.

REST API

The placement API service has its own REST API and data model.

API Reference

A full API reference is forthcoming, but until then one can get a sample of the REST API via the functional test gabbits.

Microversions

The placement API uses microversions for making incremental changes to the API which client requests must opt into.

It is especially important to keep in mind that nova-compute is a client of the placement REST API and based on how Nova supports rolling upgrades the nova-compute service could be Newton level code making requests to an Ocata placement API, and vice-versa, an Ocata compute service in a cells v2 cell could be making requests to a Newton placement API.