In order to minimize this change while keeping a simple version of the
behavior, we set `lastOk` to the current time less the intial server
connection timeout. If the client starts and never contacts the
server, it will stop all configured tasks after the initial server
connection grace period, on the assumption that we've been out of
touch longer than any configured `stop_after_client_disconnect`.
The more complex state behavior might be justified later, but we
should learn about failure modes first.
- track lastHeartbeat, the client local time of the last successful
heartbeat round trip
- track allocations with `stop_after_client_disconnect` configured
- trigger allocation destroy (which handles cleanup)
- restore heartbeat/killable allocs tracking when allocs are recovered from disk
- on client restart, stop those allocs after a grace period if the
servers are still partioned
This changeset corrects handling of the `ValidationVolumeCapabilities`
response:
* The CSI spec for the `ValidationVolumeCapabilities` requires that
plugins only set the `Confirmed` field if they've validated all
capabilities. The Nomad client improperly assumes that the lack of a
`Confirmed` field should be treated as a failure. This breaks the
Azure and Linode block storage plugins, which don't set this
optional field.
* The CSI spec also requires that the orchestrator check the validation
responses to guard against older versions of a plugin reporting
"valid" for newer fields it doesn't understand.
During MVP development, we reduced the timeout for controller plugins
to avoid long hangs in GC workers. But now that this work has been
moved to the volume watcher, we can restore the original timeout which
is better suited for the characteristic timescales of some cloud
provider APIs and better matches the behavior of k8s.
We should only remove the `ReadAllocs`/`WriteAllocs` values for a
volume after the claim has entered the "ready to free"
state. The volume will eventually be released as expected. But
querying the volume API will show the volume is released before the
controller unpublish has finished and this can cause a race with
starting new jobs.
Test updates are to cover cases where we're dropping claims but not
running through the whole reaping process.
This changeset adds a subsystem to run on the leader, similar to the
deployment watcher or node drainer. The `Watcher` performs a blocking
query on updates to the `CSIVolumes` table and triggers reaping of
volume claims.
This will avoid tying up scheduling workers by immediately sending
volume claim workloads into their own loop, rather than blocking the
scheduling workers in the core GC job doing things like talking to CSI
controllers
The volume watcher is enabled on leader step-up and disabled on leader
step-down.
The volume claim GC mechanism now makes an empty claim RPC for the
volume to trigger an index bump. That in turn unblocks the blocking
query in the volume watcher so it can assess which claims can be
released for a volume.
This would happen because a no connection error happens after the second request fails, but
that's because it's assumed the second request is to a server node. However, if a user clicks
stderr fast enough, the first and second requests are both to the client node. This changes
the logic to check if the request is to the server before deeming log streaming a total failure.
Typically a failover means that the client can't be reached. However, if
the client does eventually return after the timeout period, the log will
stream indefinitely. This fixes that using an API that wasn't broadly
available at the time this was first written.
The `CSIVolumeClaim` fields were added after 0.11.1, so claims made
before that may be missing the value. Repair this when we read the
volume out of the state store.
The `NodeID` field was added after 0.11.0, so we need to ensure it's
been populated during upgrades from 0.11.0.
Fixes#7681
The current behavior of the CPU fingerprinter in AWS is that it
reads the **current** speed from `/proc/cpuinfo` (`CPU MHz` field).
This is because the max CPU frequency is not available by reading
anything on the EC2 instance itself. Normally on Linux one would
look at e.g. `sys/devices/system/cpu/cpuN/cpufreq/cpuinfo_max_freq`
or perhaps parse the values from the `CPU max MHz` field in
`/proc/cpuinfo`, but those values are not available.
Furthermore, no metadata about the CPU is made available in the
EC2 metadata service.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-categories.html
Since `go-psutil` cannot determine the max CPU speed it defaults to
the current CPU speed, which could be basically any number between
0 and the true max. This is particularly bad on large, powerful
reserved instances which often idle at ~800 MHz while Nomad does
its fingerprinting (typically IO bound), which Nomad then uses as
the max, which results in severe loss of available resources.
Since the CPU specification is unavailable programmatically (at least
not without sudo) use a best-effort lookup table. This table was
generated by going through every instance type in AWS documentation
and copy-pasting the numbers.
https://aws.amazon.com/ec2/instance-types/
This approach obviously is not ideal as future instance types will
need to be added as they are introduced to AWS. However, using the
table should only be an improvement over the status quo since right
now Nomad miscalculates available CPU resources on all instance types.
Use v1.1.5 of go-msgpack/codec/codecgen, so go-msgpack codecgen matches
the library version.
We branched off earlier to pick up
f51b518921
, but apparently that's not needed as we could customize the package via
`-c` argument.
