skip healing properly in scanner when drive is hotplugged
due to how the state is passed around the SkipHealing
might not be the true state() of the system always, causing
a situation where we might healing from the scanner on the
same drive which is being. Due to this competing heals get
triggered that slow each other down.
since #19688 there was a regression introduced during drive
lookups for single node multi-drive setups, drive replacement
would not work correctly without this PR.
This change uses the updated ldap library in minio/pkg (bumped
up to v3). A new config parameter is added for LDAP configuration to
specify extra user attributes to load from the LDAP server and to store
them as additional claims for the user.
A test is added in sts_handlers.go that shows how to access the LDAP
attributes as a claim.
This is in preparation for adding SSH pubkey authentication to MinIO's SFTP
integration.
Recent Veeam is very picky about storage class names. Add `_MINIO_VEEAM_FORCE_SC` env var.
It will override the storage class returned by the storage backend if it is non-standard
and we detect a Veeam client by checking the User Agent.
Applies to HeadObject/GetObject/ListObject*
canceled callers might linger around longer,
can potentially overwhelm the system. Instead
provider a caller context and canceled callers
don't hold on to them.
Bonus: we have no reason to cache errors, we should
never cache errors otherwise we can potentially have
quorum errors creeping in unexpectedly. We should
let the cache when invalidating hit the actual resources
instead.
If used, 'opts.Marker` will cause many missed entries since results are returned
unsorted, and pools are serialized.
Switch to fully concurrent listing and merging across pools to return sorted entries.
'opts.Marker` is causing many missed entries if used since results are returned unsorted. Also since pools are serialized.
Switch to do fully concurrent listing and merging across pools to return sorted entries.
Returning errors on listings is impossible with the current API, so document that.
Return an error at once if no drives are found instead of just returning an empty listing and no error.
Since the object is being permanently deleted, the lack of read quorum should not
matter as long as sufficient disks are online to complete the deletion with parity
requirements.
If several pools have the same object with insufficient read quorum, attempt to
delete object from all the pools where it exists
Create new code paths for multiple subsystems in the code. This will
make maintaing this easier later.
Also introduce bugLogIf() for errors that should not happen in the first
place.
- 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
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.
* 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.
when we expand via pools, there is no reason to stick
with the same distributionAlgo as the rest. Since the
algo only makes sense with-in a pool not across pools.
This allows for newer pools to use newer codepaths to
avoid legacy file lookups when they have a pre-existing
deployment from 2019, they can expand their new pool
to be of a newer distribution format, allowing the
pool to be more performant.
- bucket metadata does not need to look for legacy things
anymore if b.Created is non-zero
- stagger bucket metadata loads across lots of nodes to
avoid the current thundering herd problem.
- Remove deadlines for RenameData, RenameFile - these
calls should not ever be timed out and should wait
until completion or wait for client timeout. Do not
choose timeouts for applications during the WRITE phase.
- increase R/W buffer size, increase maxMergeMessages to 30
Each Put, List, Multipart operations heavily rely on making
GetBucketInfo() call to verify if bucket exists or not on
a regular basis. This has a large performance cost when there
are tons of servers involved.
We did optimize this part by vectorizing the bucket calls,
however its not enough, beyond 100 nodes and this becomes
fairly visible in terms of performance.
local disk metrics were polluting cluster metrics
Please remove them instead of adding relevant ones.
- batch job metrics were incorrectly kept at bucket
metrics endpoint, move it to cluster metrics.
- add tier metrics to cluster peer metrics from the node.
- fix missing set level cluster health metrics
