at scale customers might start with failed drives,
causing skew in the overall usage ratio per EC set.
make this configurable such that customers can turn
this off as needed depending on how comfortable they
are.
Cosmetic change, but breaks up a big code block and will make a goroutine
dumps of streams are more readable, so it is clearer what each goroutine is doing.
Currently, the code relies on object parity to decide whether it is a
delete marker or a regular object. In the case of a delete marker, the
return quorum is half of the disks in the erasure set. However, this
calculation must be corrected with objects with EC = 0, mainly
because EC is not a one-time fixed configuration.
Though all data are correct, the manifested symptom is a 503 with an
EC=0 object. This bug was manifested after we introduced the
fast Get Object feature that does not read all data from all disks in
case of inlined objects
Metrics v3 is mainly a reorganization of metrics into smaller groups of
metrics and the removal of internal aggregation of metrics received from
peer nodes in a MinIO cluster.
This change adds the endpoint `/minio/metrics/v3` as the top-level metrics
endpoint and under this, various sub-endpoints are implemented. These
are currently documented in `docs/metrics/v3.md`
The handler will serve metrics at any path
`/minio/metrics/v3/PATH`, as follows:
when PATH is a sub-endpoint listed above => serves the group of
metrics under that path; or when PATH is a (non-empty) parent
directory of the sub-endpoints listed above => serves metrics
from each child sub-endpoint of PATH. otherwise, returns a no
resource found error
All available metrics are listed in the `docs/metrics/v3.md`. More will
be added subsequently.
When an object qualifies for both tiering and expiration rules and is
past its expiration date, it should be expired without requiring to tier
it, even when tiering event occurs before expiration.
Merging same-object - multiple versions from different pools would not always result in correct ordering.
When merging keep inputs separate.
```
λ mc ls --versions local/testbucket
------ before ------
[2024-03-05 20:17:19 CET] 228B STANDARD 1f163718-9bc5-4b01-bff7-5d8cf09caf10 v3 PUT hosts
[2024-03-05 20:19:56 CET] 19KiB STANDARD null v2 PUT hosts
[2024-03-05 20:17:15 CET] 228B STANDARD 73c9f651-f023-4566-b012-cc537fdb7ce2 v1 PUT hosts
------ after ------
λ mc ls --versions local/testbucket
[2024-03-05 20:19:56 CET] 19KiB STANDARD null v3 PUT hosts
[2024-03-05 20:17:19 CET] 228B STANDARD 1f163718-9bc5-4b01-bff7-5d8cf09caf10 v2 PUT hosts
[2024-03-05 20:17:15 CET] 228B STANDARD 73c9f651-f023-4566-b012-cc537fdb7ce2 v1 PUT hosts
```
configure batch size to send audit/logger events
in batches instead of sending one event per connection.
this is mainly to optimize the number of requests
we make to webhook endpoint.
Currently, the progress of the batch job is saved in inside the job
request object, which is normally not supported by MinIO. Though there
is no apparent bug, it is better to fix this now.
Batch progress is saved in .minio.sys/batch-jobs/reports/
Co-authored-by: Anis Eleuch <anis@min.io>
our PoolNumber calculation was costly,
while we already had this information per
endpoint, we needed to deduce it appropriately.
This PR addresses this by assigning PoolNumbers
field that carries all the pool numbers that
belong to a server.
properties.PoolNumber still carries a valid value
only when len(properties.PoolNumbers) == 1, otherwise
properties.PoolNumber is set to math.MaxInt (indicating
that this value is undefined) and then one must rely
on properties.PoolNumbers for server participation
in multiple pools.
addresses the issue originating from #11327
simplify audit webhook worker model
fixes couple of bugs like
- ping(ctx) was creating a logger without updating
number of workers leading to incorrect nWorkers
scaling, causing an additional worker that is not
tracked properly.
- h.logCh <- entry could potentially hang for when
the queue is full on heavily loaded systems.
there can be a sudden spike in tiny allocations,
due to too much auditing being done, also don't hang
on the
```
h.logCh <- entry
```
after initializing workers if you do not have a way to
dequeue for some reason.
This commits adds support for using the `--endpoint` arg when creating a
tier of type `azure`. This is needed to connect to Azure's Gov Cloud
instance. For example,
```
mc ilm tier add azure TARGET TIER_NAME \
--account-name ACCOUNT \
--account-key KEY \
--bucket CONTAINER \
--endpoint https://ACCOUNT.blob.core.usgovcloudapi.net
--prefix PREFIX \
--storage-class STORAGE_CLASS
```
Prior to this, the endpoint was hardcoded to `https://ACCOUNT.blob.core.windows.net`.
The docs were even explicit about this, stating that `--endpoint` is:
"Required for `s3` or `minio` tier types. This option has no effect for any
other value of `TIER_TYPE`."
Now, if the endpoint arg is present it will be used. If not, it will
fall back to the same default behavior of `ACCOUNT.blob.core.windows.net`.
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
