to avoid relying on scanner-calculated replication metrics.
This will improve the accuracy of the replication stats reported.
This PR also adds on to #15556 by handing replication
traffic that could not be queued by available workers to the
MRF queue so that entries in `PENDING` status are healed faster.
current implementation relied on recursively calling one bucket
at a time across all peers, this would be very slow and chatty
when there are 100's of buckets which would mean 100*peerCount
amount of network operations.
This PR attempts to reduce this entire call into `peerCount`
amount of network calls only. This functionality addresses also a
concern where the Prometheus metrics would significantly slow
down when one of the peers is offline.
.Reset() documentation states:
For a Timer created with NewTimer, Reset should be invoked only on stopped
or expired timers with drained channels.
This change is just to comply with this requirement as there might be some
runtime dependent situation that might lead to unexpected behavior.
it seems in some places we have been wrongly using the
timer.Reset() function, nicely exposed by an example
shared by @donatello https://go.dev/play/p/qoF71_D1oXD
this PR fixes all the usage comprehensively
- r.ulock was not locked when r.UsageCache was being modified
Bonus:
- simplify code by removing some unnecessary clone methods - we can
do this because go arrays are values (not pointers/references) that are
automatically copied on assignment.
- remove some unnecessary map allocation calls
Add a new Prometheus metric for bucket replication latency
e.g.:
minio_bucket_replication_latency_ns{
bucket="testbucket",
operation="upload",
range="LESS_THAN_1_MiB",
server="127.0.0.1:9001",
targetArn="arn:minio:replication::45da043c-14f5-4da4-9316-aba5f77bf730:testbucket"} 2.2015663e+07
Co-authored-by: Klaus Post <klauspost@gmail.com>
This is to ensure that there are no projects
that try to import `minio/minio/pkg` into
their own repo. Any such common packages should
go to `https://github.com/minio/pkg`
Real-time metrics calculated in-memory rely on the initial
replication metrics saved with data usage. However, this can
lag behind the actual state of the cluster at the time of server
restart leading to inaccurate Pending size/counts reported to
Prometheus. Dropping the Pending metrics as this can be more
reliably monitored by applications with replication notifications.
Signed-off-by: Poorna Krishnamoorthy <poorna@minio.io>
just like replication workers, allow failed replication
workers to be configurable in situations like DR failures
etc to catch up on replication sooner when DR is back
online.
Signed-off-by: Harshavardhana <harsha@minio.io>
Metrics calculation was accumulating inital usage across all nodes
rather than using initial usage only once.
Also fixing:
- bug where all peer traffic was going to the same node.
- reset counters when replication status changes from
PENDING -> FAILED
implementation in #11949 only catered from single
node, but we need cluster metrics by capturing
from all peers. introduce bucket stats API that
will be used for capturing in-line bucket usage
as well eventually
- collect real time replication metrics for prometheus.
- add pending_count, failed_count metric for total pending/failed replication operations.
- add API to get replication metrics
- add MRF worker to handle spill-over replication operations
- multiple issues found with replication
- fixes an issue when client sends a bucket
name with `/` at the end from SetRemoteTarget
API call make sure to trim the bucket name to
avoid any extra `/`.
- hold write locks in GetObjectNInfo during replication
to ensure that object version stack is not overwritten
while reading the content.
- add additional protection during WriteMetadata() to
ensure that we always write a valid FileInfo{} and avoid
ever writing empty FileInfo{} to the lowest layers.
Co-authored-by: Poorna Krishnamoorthy <poorna@minio.io>
Co-authored-by: Harshavardhana <harsha@minio.io>
Poorna
Harshavardhana
Aditya Manthramurthy
Anis Elleuch