nvidia library use of dynamic library seems to conflict with alpine and
musl based OSes. This adds a `nonvidia` tag to allow compiling nomad
for alpine images.
The nomad releases currently only support glibc based OS environments,
so we default to compiling with nvidia.
Fix AppVeyor failing builds, by moving docker image url test to run on unix
systems only. The used paused image is a linux image only, not
available on Windows.
destCh was being written to by one goroutine and closed by another
goroutine. This panic occurred in Travis:
```
=== FAIL: drivers/docker TestDockerCoordinator_ConcurrentPulls (117.66s)
=== PAUSE TestDockerCoordinator_ConcurrentPulls
=== CONT TestDockerCoordinator_ConcurrentPulls
panic: send on closed channel
goroutine 5358 [running]:
github.com/hashicorp/nomad/drivers/docker.dockerStatsCollector(0xc0003a4a20, 0xc0003a49c0, 0x3b9aca00)
/home/travis/gopath/src/github.com/hashicorp/nomad/drivers/docker/stats.go:108 +0x167
created by
github.com/hashicorp/nomad/drivers/docker.TestDriver_DockerStatsCollector
/home/travis/gopath/src/github.com/hashicorp/nomad/drivers/docker/stats_test.go:33 +0x1ab
```
The 2 ways to fix this kind of error are to either (1) add extra
coordination around multiple goroutines writing to a chan or (2) make it
so only one goroutines writes to a chan.
I implemented (2) first as it's simpler, but @notnoop pointed out since
the same destCh in reused in the stats loop there's now a double close
panic possible!
So this implements (1) by adding a *usageSender struct for handling
concurrent senders and closing.
Reverts hashicorp/nomad#5433
Apparently, channel communications can constitute Happens-Before even for proximate variables, so this syncing isn't necessary.
> _The closing of a channel happens before a receive that returns a zero value because the channel is closed._
https://golang.org/ref/mem#tmp_7
Fix#5418
When using a docker logger that doesn't support log streaming through
API, currently docker logger runs a tight loop of Docker API calls
unexpectedly. This change ensures we stop fetching logs early.
Also, this adds some basic backoff strategy when Docker API logging
fails unexpectedly, to avoid accidentally DoSing the docker daemon.
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
strings.Replace call with n=0 argument makes no sense
as it will do nothing. Probably -1 is intended.
Signed-off-by: Iskander Sharipov <quasilyte@gmail.com>
This commit causes the docker driver to return undetected before it
first establishes a connection to the docker daemon.
This fixes a bug where hosts without docker installed would return as
unhealthy, rather than undetected.
As far as I can tell this is the most straightforward and resilient way
to skip error logging on context cancellation with grpc streams. You
cannot compare the error against context.Canceled directly as it is of
type `*status.statusError`. The next best solution I found was:
```go
resp, err := stream.Recv()
if code, ok := err.(interface{ Code() code.Code }); ok {
if code.Code == code.Canceled {
return
}
}
```
However I think checking ctx.Err() directly makes the code much easier
to read and is resilient against grpc API changes.
Currently if a docker_logger cannot be reattached to, we will leak the
container that was being used. This is problematic if e.g using static
ports as it means you can never recover your task, or if a service is
expensive to run and will then be running without supervision.
Sometimes the nomad docker_logger may be killed by a service manager
when restarting the client for upgrades or reliability reasons.
Currently if this happens, we leak the users container and try to
reschedule over it.
This commit adds a new step to the recovery process that will spawn a
new docker logger process that will fetch logs from _the current
timestamp_. This is to avoid restarting users tasks because our logging
sidecar has failed.
