panic seen due to premature closing of slow channel while listing is still sending or
list has already closed on the sender's side:
```
panic: close of closed channel
goroutine 13666 [running]:
github.com/minio/minio/internal/ioutil.SafeClose[...](0x101ff51e4?)
/Users/kp/code/src/github.com/minio/minio/internal/ioutil/ioutil.go:425 +0x24
github.com/minio/minio/cmd.(*erasureServerPools).Walk.func1()
/Users/kp/code/src/github.com/minio/minio/cmd/erasure-server-pool.go:2142 +0x170
created by github.com/minio/minio/cmd.(*erasureServerPools).Walk in goroutine 1189
/Users/kp/code/src/github.com/minio/minio/cmd/erasure-server-pool.go:1985 +0x228
```
Object names of directory objects qualified for ExpiredObjectAllVersions
must be encoded appropriately before calling on deletePrefix on their
erasure set.
e.g., a directory object and regular objects with overlapping prefixes
could lead to the expiration of regular objects, which is not the
intention of ILM.
```
bucket/dir/ ---> directory object
bucket/dir/obj-1
```
When `bucket/dir/` qualifies for expiration, the current implementation would
remove regular objects under the prefix `bucket/dir/`, in this case,
`bucket/dir/obj-1`.
In handlers related to health diagnostics e.g. CPU, Network, Partitions,
etc, globalMinioHost was being passed as the addr, resulting in empty
value for the same in the health report.
Using globalLocalNodeName instead fixes the issue.
IAM loading is a lazy operation, allow these
fallbacks to be in place when we cannot find
in-memory state().
this allows us to honor the request even if pay
a small price for lookup and populating the data.
When objects have more versions than their ILM policy expects to retain
via NewerNoncurrentVersions, but they don't qualify for expiry due to
NoncurrentDays are configured in that rule.
In this case, applyNewerNoncurrentVersionsLimit method was enqueuing empty
tasks, which lead to a panic (panic: runtime error: index out of range [0] with
length 0) in newerNoncurrentTask.OpHash method, which assumes the task
to contain at least one version to expire.
When returning the status of a decommissioned pool, a pool with zero
time StartedTime will be considered an active pool, which is unexpected.
This commit will always ensure that a pool's canceled/failed/completed
status is returned.
we were prematurely not writing 4k pages while we
could have due to the fact that most buffers would
be multiples of 4k upto some number and there shall
be some remainder.
We only need to write the remainder without O_DIRECT.
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.
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.
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
```
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
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
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
the PR in #16541 was incorrect and hand wrong assumptions
about the overall setup, revert this since this expectation
to have offline servers is wrong and we can end up with a
bigger chicken and egg problem.
This reverts commit 5996c8c4d5.
Bonus:
- preserve disk in globalLocalDrives properly upon connectDisks()
- do not return 'nil' from newXLStorage(), getting it ready for
the next set of changes for 'format.json' loading.
The previous logic of calculating per second values for disk io stats
divides the stats by the host uptime. This doesn't work in k8s
environment as the uptime is of the pod, but the stats (from
/proc/diskstats) are from the host.
Fix this by storing the initial values of uptime and the stats at the
timme of server startup, and using the difference between current and
initial values when calculating the per second values.
globalLocalDrives seem to be not updated during the
HealFormat() leads to a requirement where the server
needs to be restarted for the healing to continue.
a/prefix
a/prefix/1.txt
where `a/prefix` is an object which does not have `/` at the end,
we do not have to aggressively recursively delete all the sub-folders
as well. Instead convert the call into self contained to deleting
'xl.meta' and then subsequently attempting to Remove the parent.
Bonus: enable audit alerts for object versions
beyond the configured value, default is '100'
versions per object beyond which scanner will
alert for each such objects.
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
Depending on when the context cancelation is picked up the handler may return and close the channel before `SubscribeJSON` returns, causing:
```
Feb 05 17:12:00 s3-us-node11 minio[3973657]: panic: send on closed channel
Feb 05 17:12:00 s3-us-node11 minio[3973657]: goroutine 378007076 [running]:
Feb 05 17:12:00 s3-us-node11 minio[3973657]: github.com/minio/minio/internal/pubsub.(*PubSub[...]).SubscribeJSON.func1()
Feb 05 17:12:00 s3-us-node11 minio[3973657]: github.com/minio/minio/internal/pubsub/pubsub.go:139 +0x12d
Feb 05 17:12:00 s3-us-node11 minio[3973657]: created by github.com/minio/minio/internal/pubsub.(*PubSub[...]).SubscribeJSON in goroutine 378010884
Feb 05 17:12:00 s3-us-node11 minio[3973657]: github.com/minio/minio/internal/pubsub/pubsub.go:124 +0x352
```
Wait explicitly for the goroutine to exit.
Bonus: Listen for doneCh when sending to not risk getting blocked there is channel isn't being emptied.
this fixes rare bugs we have seen but never really found a
reproducer for
- PutObjectRetention() returning 503s
- PutObjectTags() returning 503s
- PutObjectMetadata() updates during replication returning 503s
These calls return errors, and this perpetuates with
no apparent fix.
This PR fixes with correct quorum requirement.
To force limit the duration of STS accounts, the user can create a new
policy, like the following:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["sts:AssumeRoleWithWebIdentity"],
"Condition": {"NumericLessThanEquals": {"sts:DurationSeconds": "300"}}
}]
}
And force binding the policy to all OpenID users, whether using a claim name or role
ARN.
disk tokens usage is not necessary anymore with the implementation
of deadlines for storage calls and active monitoring of the drive
for I/O timeouts.
Functionality kicking off a bad drive is still supported, it's just that
we do not have to serialize I/O in the manner tokens would do.
Interpret `null` inline policy for access keys as inheriting parent
policy. Since MinIO Console currently sends this value, we need to honor it
for now. A larger fix in Console and in the server are required.
Fixes#18939.
Allow internal types to support a `Recycler` interface, which will allow for sharing of common types across handlers.
This means that all `grid.MSS` (and similar) objects are shared across in a common pool instead of a per-handler pool.
Add internal request reuse of internal types. Add for safe (pointerless) types explicitly.
Only log params for internal types. Doing Sprint(obj) is just a bit too messy.
With this change, only a user with `UpdateServiceAccountAdminAction`
permission is able to edit access keys.
We would like to let a user edit their own access keys, however the
feature needs to be re-designed for better security and integration with
external systems like AD/LDAP and OpenID.
This change prevents privilege escalation via service accounts.
for actionable, inspections we have `mc support inspect`
we do not need double logging, healing will report relevant
errors if any, in terms of quorum lost etc.
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.
