When a drive is in a failed state when a single node multiple drives
deployment is started, a replacement of a fresh disk will not be
properly healed unless the user restarts the node.
Fix this by always adding the new fresh disk to globalLocalDrivesMap. Also
remove globalLocalDrives for simplification, a map to store local node
drives can still be used since the order of local drives of a node is
not defined.
removes contentious usage of mutexes in LRU, which
were never really reused in any manner; we do not
need it.
To trust hosts, the correct way is TLS certs; this PR completely
removes this dependency, which has never been useful.
```
0 0% 100% 25.83s 26.76% github.com/hashicorp/golang-lru/v2/expirable.(*LRU[...])
0 0% 100% 28.03s 29.04% github.com/hashicorp/golang-lru/v2/expirable.(*LRU[...])
```
Bonus: use `x-minio-time` as a nanosecond to avoid unnecessary
parsing logic of time strings instead of using a more
straightforward mechanism.
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.
```
==================
WARNING: DATA RACE
Read at 0x0000082be990 by goroutine 205:
github.com/minio/minio/cmd.setCommonHeaders()
Previous write at 0x0000082be990 by main goroutine:
github.com/minio/minio/cmd.lookupConfigs()
```
This commit adds support for MinKMS. Now, there are three KMS
implementations in `internal/kms`: Builtin, MinIO KES and MinIO KMS.
Adding another KMS integration required some cleanup. In particular:
- Various KMS APIs that haven't been and are not used have been
removed. A lot of the code was broken anyway.
- Metrics are now monitored by the `kms.KMS` itself. For basic
metrics this is simpler than collecting metrics for external
servers. In particular, each KES server returns its own metrics
and no cluster-level view.
- The builtin KMS now uses the same en/decryption implemented by
MinKMS and KES. It still supports decryption of the previous
ciphertext format. It's backwards compatible.
- Data encryption keys now include a master key version since MinKMS
supports multiple versions (~4 billion in total and 10000 concurrent)
per key name.
Signed-off-by: Andreas Auernhammer <github@aead.dev>
This PR fixes a few things
- FIPS support for missing for remote transports, causing
MinIO could end up using non-FIPS Ciphers in FIPS mode
- Avoids too many transports, they all do the same thing
to make connection pooling work properly re-use them.
- globalTCPOptions must be set before setting transport
to make sure the client conn deadlines are honored properly.
- GCS warm tier must re-use our transport
- Re-enable trailing headers support.
unlinking() at two different locations on a disk when there
are lots to purge, this can lead to huge IOwaits, instead
rely on rename() to .trash to avoid running multiple unlinks()
in parallel.
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.
- 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
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.
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.
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.
- healing must not set the write xattr
because that is the job of active healing
to update. what we need to preserve is
permanent deletes.
- remove older env for drive monitoring and
enable it accordingly, as a global value.
This PR also increases per node bpool memory from 1024 entries
to 2048 entries; along with that, it also moves the byte pool
centrally instead of being per pool.
Optionally allows customers to enable
- Enable an external cache to catch GET/HEAD responses
- Enable skipping disks that are slow to respond in GET/HEAD
when we have already achieved a quorum
globalDeploymentID was being read while it was being set.
Fixes race:
```
WARNING: DATA RACE
Write at 0x0000079605a0 by main goroutine:
github.com/minio/minio/cmd.connectLoadInitFormats()
github.com/minio/minio/cmd/prepare-storage.go:269 +0x14f0
github.com/minio/minio/cmd.waitForFormatErasure()
github.com/minio/minio/cmd/prepare-storage.go:294 +0x21d
...
Previous read at 0x0000079605a0 by goroutine 105:
github.com/minio/minio/cmd.newContext()
github.com/minio/minio/cmd/utils.go:817 +0x31e
github.com/minio/minio/cmd.adminMiddleware.func1()
github.com/minio/minio/cmd/admin-router.go:110 +0x96
net/http.HandlerFunc.ServeHTTP()
net/http/server.go:2136 +0x47
github.com/minio/minio/cmd.setBucketForwardingMiddleware.func1()
github.com/minio/minio/cmd/generic-handlers.go:460 +0xb1a
net/http.HandlerFunc.ServeHTTP()
net/http/server.go:2136 +0x47
...
```
batch status can perpetually wait after completion
due to a race between the MetricsHandler() returning
the active metrics in intervals of 1sec and delete
of metrics after job completion.
this PR ensures that we keep the 'status' around
for a while, i.e upto 24hrs for all the batch jobs.
health checks were missing for drives replaced since
- HealFormat() would replace the drives without a health check
- disconnected drives when they reconnect via connectEndpoint()
the loop also loses health checks for local disks and merges
these into a single code.
- other than this separate cleanUp, health check variables to avoid
overloading them with similar requirements.
- also ensure that we compete via context selector for disk monitoring
such that the canceled disks don't linger around longer waiting for
the ticker to trigger.
- allow disabling active monitoring.
DNS refresh() in-case of MinIO can safely re-use
the previous values on bare-metal setups, since
bare-metal arrangements do not change DNS in any
manner commonly.
This PR simplifies that, we only ever need DNS caching
on bare-metal setups.
- On containerized setups do not enable DNS
caching at all, as it may have adverse effects on
the overall effectiveness of k8s DNS systems.
k8s DNS systems are dynamic and expect applications
to avoid managing DNS caching themselves, instead
provide a cleaner container native caching
implementations that must be used.
- update IsDocker() detection, including podman runtime
- move to minio/dnscache fork for a simpler package
