Use POST method instead of running local kubectl.
Use ExecCommandInContainerWithFullOutput() instead of RunKubectl().
PodExec() takes additional framework arg, passed down in call chain.
VerifyExecInPodFail uses different error code cast as original
one causes test code Panic if used with new call method.
This is required for promoting volume limits to GA. The new version of
the driver reports the max number of volumes it supports. Such number
should be specified as a CLI argument when starting the driver.
- Added thread_safe_store_test exercising new index backing string set delete at 0 functionality.
- TestThreadSafeStoreDeleteRemovesEmptySetsFromIndex logic nesting inverted.
- Added test case for usage of an index where post element delete there is non-zero count of elements and expect the set to still exist.
- Fixed date.
- Fixed awprice nits.
- Fix bazel.
After the detach calls are made, any further updates with the disks in
the process of getting detached will complain with errors such as:
"
Cannot attach data disk '<disk name>' to VM '<vm name>' because the
disk's ToBeDetached flag is set to true. Please either remove the
disk from APIModel or set the ToBeDetached flag to false and then
try again
"
This PR will ensure that the disks with the ToBeDetached flag set are
filtered out before the update to the cloud is made.
b.N is adjusted by pkg/testing using an internal heuristic:
> The benchmark function must run the target code b.N times. During
> benchmark execution, b.N is adjusted until the benchmark function
> lasts long enough to be timed reliably.
Using b.N to seed other parameters makes the benchmark behavior
difficult to reason about. Before this change, thread count in the
CachedTokenAuthenticator benchmark is always 5000, and batch size is
almost always 1 when I run this locally. SimpleCache and StripedCache
benchmarks had similarly strange scaling.
After modifying CachedTokenAuthenticator to only adjust iterations based
on b.N, the batch chan was an point of contention and I wasn't able to
see any significant CPU consumption. This was fixed by using
ParallelBench to do the batching, rather than using a chan.
As the hyperkube image is itself deprecated and moved out of tree, its use with
kubeadm gets deprecated too. Hence, deprecation messages will be printed when
it is used.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
