Use targetted ignore comments for the cases where we are bound by
backward compatibility.
I've left some file based linters, especially when the file is riddled
with linter voilations (e.g. enum names), or if it's a property of the
file (e.g. package and file names).
I encountered an odd behavior related to RPC_REQUEST_RESPONSE_UNIQUE and
RPC_REQUEST_STANDARD_NAME. Apparently, if they target a `stream` type,
we must separate them into separate lines so that the ignore comment
targets the type specifically.
Previously, it was required that you `go get github.com/hashicorp/nomad` to be
able to build protos, as the protoc invocation added an include directive that
pointed to `$GOPATH/src`, which is how dependent protos were discovered. As
Nomad now uses Go modules, it won't necessarily be cloned to `$GOPATH`.
(Additionally, if you _had_ go-gotten Nomad at some point, protoc compilation
would have possibly used the _wrong_ protos, as those wouldn't necessarily be
the most up-to-date ones.)
This change modifies the proto files and the `protoc` invocation to handle
discovering dependent protos via protoc plugin modifier statements that are
specific to the protoc plugin being used.
In this change, `make proto` was run to recompile the protos, which results in
changes only to the gzipped `FileDescriptorProto`.
Noticed that the protobuf files are out of sync with ones generated by 1.2.0 protoc go plugin.
The cause for these files seem to be related to release processes, e.g. [0.9.0-beta1 preperation](ecec3d38de (diff-da4da188ee496377d456025c2eab4e87)), and [0.9.0-beta3 preperation](b849d84f2f).
This restores the changes to that of the pinned protoc version and fails build if protobuf files are out of sync. Sample failing Travis job is that of the first commit change: https://travis-ci.org/hashicorp/nomad/jobs/506285085
Track current memory usage, `memory.usage_in_bytes`, in addition to
`memory.max_memory_usage_in_bytes` and friends. This number is closer
what Docker reports.
Related to https://github.com/hashicorp/nomad/issues/5165 .
Introduce a device manager that manages the lifecycle of device plugins
on the client. It fingerprints, collects stats, and forwards Reserve
requests to the correct plugin. The manager, also handles device plugins
failing and validates their output.
