This allows the client to spot if the cluster ID changes, which
would indicate that the cluster has been rebuilt and watches may be
out of sync.
Helps work around #6652.
Current v2 auth API doesn't propagate its error code. This commit adds
utility functions for parsing error messages and getting detail of v2
auth errors.
Fixes https://github.com/coreos/etcd/issues/5894
Old behavior would retry set and delete even if there's an error. This
can lead to the client returning an error for deleting twice, instead
of returning an error for an interdeterminate state.
Fixes#5832
Current V2 watch waits by encoding URL with wait=true.
When a client sets 'no-sync', it requests directly to
proxy and the proxy redirects it by cloning the request
object, which leads to cancel the original request when
it times out and the cloned request gets closed prematurely.
This fixes coreos#3894 by querying
the original client request in order to not use context timeout
when 'wait=true'.
Current etcd client library chooses a default destination node from
every member of a cluster in a random manner. However, requests of
write and read (for consistent results) need to be forwarded to the
leader node as the nature of Raft algorithm. If the chosen node is a
follower, additional network traffic will be caused by the forwarding
from follower to leader.
Mainly for reducing the forward traffic, this commit adds a new
mechanism for various endpoint selection mode to the client library
which can be configured with client.Config.SelectionMode.
Currently, two modes are provided:
- EndpointSelectionRandom: default, same to existing behavior (pick
a node in a random manner)
- EndpointSelectionPrioritizeLeader: prioritize leader, for the above
purpose
I evaluated the effectiveness of the EndpointSelectionPrioritizeLeader
with 4 t1.micro instances of AWS (3 nodes for etcd cluster and 1 node
for etcd client). Client executes this simple benchmark
(https://github.com/mitake/etcd-things/tree/master/prioritize-leader-bench),
just writes 10000 keys. When SelectionMode == EndpointSelectionRandom
(default), the benchmark needed 1 min and 32.102 sec to finish. When
SelectionMode == EndpointSelectionPrioritizeLeader, the benchmark
needed 1 min 4.760 sec.
