Currently when an evalbroker is disabled, it still recieves delayed
enqueues via log application in the fsm. This causes an ever growing
heap of evaluations that will never be drained, and can cause memory
issues in larger clusters, or when left running for an extended period
of time without a leader election.
This commit prevents the enqueuing of evaluations while we are
disabled, and relies on the leader restoreEvals routine to handle
reconciling state during a leadership transition.
Existing dequeues during an Enabled->Disabled broker state transition are
handled by the enqueueLocked function dropping evals.
Primarily a cleanup commit, however, currently there is a potential race
condition (that I'm not sure we've ever actually hit) during a flapping
SetEnabled/Disabled state where we may never correctly restart the eval
broker, if it was being called from multiple routines.
Implements streamign exec handling in both executors (i.e. universal and
libcontainer).
For creation of TTY, some incidental complexity leaked in. The universal
executor uses github.com/kr/pty for creation of TTYs.
On the other hand, libcontainer expects a console socket and for libcontainer to
create the underlying console object on process start. The caller can then use
`libcontainer.utils.RecvFd()` to get tty master end.
I chose github.com/kr/pty for managing TTYs here. I tried
`github.com/containerd/console` package (which is already imported), but the
package did not work as expected on macOS.
Related to #4280
This PR adds
`client.allocs.<job>.<group>.<alloc>.<task>.memory.allocated` as a gauge
in bytes to metrics to ease calculating how close a task is to OOMing.
```
'nomad.client.allocs.memory.allocated.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 268435456.000
'nomad.client.allocs.memory.cache.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 5677056.000
'nomad.client.allocs.memory.kernel_max_usage.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 0.000
'nomad.client.allocs.memory.kernel_usage.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 0.000
'nomad.client.allocs.memory.max_usage.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 8908800.000
'nomad.client.allocs.memory.rss.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 876544.000
'nomad.client.allocs.memory.swap.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 0.000
'nomad.client.allocs.memory.usage.example.cache.6d98cbaf-d6bc-2a84-c63f-bfff8905a9d8.redis.rusty': 8208384.000
```
Adds nomad exec support in our API, by hitting the websocket endpoint.
We introduce API structs that correspond to the drivers streaming exec structs.
For creating the websocket connection, we reuse the transport setting from api
http client.
This adds a websocket endpoint for handling `nomad exec`.
The endpoint is a websocket interface, as we require a bi-directional
streaming (to handle both input and output), which is not very appropriate for
plain HTTP 1.0. Using websocket makes implementing the web ui a bit simpler. I
considered using golang http hijack capability to treat http request as a plain
connection, but the web interface would be too complicated potentially.
Furthermore, the API endpoint operates against the raw core nomad exec streaming
datastructures, defined in protobuf, with json serializer. Our APIs use json
interfaces in general, and protobuf generates json friendly golang structs.
Reusing the structs here simplify interface and reduce conversion overhead.