Remove api.expiration_workers config setting which was inadvertently left behind. Per review comment
https://github.com/minio/minio/pull/18926, expiration_workers can be configured via ilm.expiration_workers.
ext4, xfs support this behavior however
btrfs, nfs may not support it properly.
in-case when we see Nlink < 2 then we know
that we need to fallback on readdir()
fixes a regression from #19100fixes#19181
The middleware sets up tracing, throttling, gzipped responses and
collecting API stats.
Additionally, this change updates the names of handler functions in
metric labels to be the same as the name derived from Go lang reflection
on the handler name.
The metric api labels are now stored in memory the same as the handler
name - they will be camelcased, e.g. `GetObject` instead of `getobject`.
For compatibility, we lowercase the metric api label values when emitting the metrics.
- Use a shared worker pool for all ILM expiry tasks
- Free version cleanup executes in a separate goroutine
- Add a free version only if removing the remote object fails
- Add ILM expiry metrics to the node namespace
- Move tier journal tasks to expiryState
- Remove unused on-disk journal for tiered objects pending deletion
- Distribute expiry tasks across workers such that the expiry of versions of
the same object serialized
- Ability to resize worker pool without server restart
- Make scaling down of expiryState workers' concurrency safe; Thanks
@klauspost
- Add error logs when expiryState and transition state are not
initialized (yet)
* metrics: Add missed tier journal entry tasks
* Initialize the ILM worker pool after the object layer
With this commit, MinIO generates root credentials automatically
and deterministically if:
- No root credentials have been set.
- A KMS (KES) is configured.
- API access for the root credentials is disabled (lockdown mode).
Before, MinIO defaults to `minioadmin` for both the access and
secret keys. Now, MinIO generates unique root credentials
automatically on startup using the KMS.
Therefore, it uses the KMS HMAC function to generate pseudo-random
values. These values never change as long as the KMS key remains
the same, and the KMS key must continue to exist since all IAM data
is encrypted with it.
Backward compatibility:
This commit should not cause existing deployments to break. It only
changes the root credentials of deployments that have a KMS configured
(KES, not a static key) but have not set any admin credentials. Such
implementations should be rare or not exist at all.
Even if the worst case would be updating root credentials in mc
or other clients used to administer the cluster. Root credentials
are anyway not intended for regular S3 operations.
Signed-off-by: Andreas Auernhammer <github@aead.dev>
just like client-conn-read-deadline, added a new flag that does
client-conn-write-deadline as well.
Both are not configured by default, since we do not yet know
what is the right value. Allow this to be configurable if needed.
we should do this to ensure that we focus on
data healing as primary focus, fixing metadata
as part of healing must be done but making
data available is the main focus.
the main reason is metadata inconsistencies can
cause data availability issues, which must be
avoided at all cost.
will be bringing in an additional healing mechanism
that involves "metadata-only" heal, for now we do
not expect to have these checks.
continuation of #19154
Bonus: add a pro-active healthcheck to perform a connection
This change makes the label names consistent with the handler names.
This is in preparation to use reflection based API handler function
names for the api labels so they will be the same as tracing, auditing
and logging names for these API calls.
in k8s things really do come online very asynchronously,
we need to use implementation that allows this randomness.
To facilitate this move WriteAll() as part of the
websocket layer instead.
Bonus: avoid instances of dnscache usage on k8s
New disk healing code skips/expires objects that ILM supposed to expire.
Add more visibility to the user about this activity by calculating those
objects and print it at the end of healing activity.
This PR fixes a bug that perhaps has been long introduced,
with no visible workarounds. In any deployment, if an entire
erasure set is deleted, there is no way the cluster recovers.
This change is to decouple need for root credentials to match between
site replication deployments.
Also ensuring site replication config initialization is re-tried until
it succeeds, this deoendency is critical to STS flow in site replication
scenario.
Currently, we read from `/proc/diskstats` which is found to be
un-reliable in k8s environments. We can read from `sysfs` instead.
Also, cache the latest drive io stats to find the diff and update
the metrics.
* Remove lock for cached operations.
* Rename "Relax" to `ReturnLastGood`.
* Add `CacheError` to allow caching values even on errors.
* Add NoWait that will return current value with async fetching if within 2xTTL.
* Make benchmark somewhat representative.
```
Before: BenchmarkCache-12 16408370 63.12 ns/op 0 B/op
After: BenchmarkCache-12 428282187 2.789 ns/op 0 B/op
```
* Remove `storageRESTClient.scanning`. Nonsensical - RPC clients will not have any idea about scanning.
* Always fetch remote diskinfo metrics and cache them. Seems most calls are requesting metrics.
* Do async fetching of usage caches.
It also fixes a long-standing bug in expiring transitioned objects.
The expiration action was deleting the current version in the case'
of tiered objects instead of adding a delete marker.
only enable md5sum if explicitly asked by the client, otherwise
its not necessary to compute md5sum when SSE-KMS/SSE-C is enabled.
this is continuation of #17958
data-dir not being present is okay, however we can still
rely on the `rename()` atomic call instead of relying on
write xl.meta write which may truncate the io.EOF.
Add a new function logger.Event() to send the log to Console and
http/kafka log webhooks. This will include some internal events such as
disk healing and rebalance/decommissioning
