Automatic merge from submit-queue
Additional go vet fixes
Mostly:
- pass lock by value
- bad syntax for struct tag value
- example functions not formatted properly
Automatic merge from submit-queue
storage.Interface KV impl. of etcd v3
This is the initial implementation of #22448.
The PR consists of two parts:
- add godep of "clientv3" and "integration" (for testing)
- create new package "etcd3" under "pkg/storage/"
- implement KV methods of storage.Interface using etcd v3 APIs
- Create, Set, Get, Delete, GetToList, List, GuaranteedUpdate
Add a recognizer that is capable of sniffing content type from data by
asking each serializer to try to decode - this is for a "universal
decoder/deserializer" which can be used by client logic.
Add codec factory, which provides the core primitives for content type
negotiation. Codec factories depend only on schemes, serializers, and
groupversion pairs.
Break Codec into two general purpose interfaces, Encoder and Decoder,
and move parameter codec responsibilities to ParameterCodec.
Make unversioned types explicit when registering - these types go
through conversion without modification.
Switch to use "__internal" instead of "" to represent the internal
version. Future commits will also add group defaulting (so that "" is
expanded internally into a known group version, and only cleared during
set).
For embedded types like runtime.Object -> runtime.RawExtension, put the
responsibility on the caller of Decode/Encode to handle transformation
into destination serialization. Future commits will expand RawExtension
and Unknown to accept a content encoding as well as bytes.
Make Unknown a bit more powerful and use it to carry unrecognized types.
Replace many of the remaining s.Convert() invocations with direct
execution, and make generated methods public. Removes 10% of the
allocations during decode of a pod and ~20-40% of the total CPU time.
The pending codec -> conversion split changes the signature of
Encode and Decode to be more complicated. Create a stub helper
with the exact semantics of today and do the simple mechanical
refactor here to reduce the cost of that change.
