Golang http.Server will call SetReadDeadline overwriting the previous
deadline configuration set after a new connection Accept in the custom
listener code. Therefore, --idle-timeout was not correctly respected.
Make http.Server read/write timeout similar to --idle-timeout.
The experimental functions are now available in the standard library in
Go 1.23 [1].
[1]: https://go.dev/doc/go1.23#new-unique-package
Signed-off-by: Eng Zer Jun <engzerjun@gmail.com>
HTTP likes to slap an infinite read deadline on a connection and
do a blocking read while the response is being written.
This effectively means that a reading deadline becomes the
request-response deadline.
Instead of enforcing our timeout, we pass it through and keep
"infinite deadline" is sticky on connections.
However, we still "record" when reads are aborted, so we never overwrite that.
The HTTP server should have `ReadTimeout` and `IdleTimeout` set for the deadline to be effective.
Use --idle-timeout for incoming connections.
By default, even if MINIO_BROWSER=off set code tries to get free
port available for the console.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
Services are unfrozen before `initBackgroundReplication` is finished. This means that
the globalReplicationStats write is racy. Switch to an atomic pointer.
Provide the `ReplicationPool` with the stats, so it doesn't have to be grabbed
from the atomic pointer on every use.
All other loads and checks are nil, and calls return empty values when stats
still haven't been initialized.
epoll contention on TCP causes latency build-up when
we have high volume ingress. This PR is an attempt to
relieve this pressure.
upstream issue https://github.com/golang/go/issues/65064
It seems to be a deeper problem; haven't yet tried the fix
provide in this issue, but however this change without
changing the compiler helps.
Of course, this is a workaround for now, hoping for a
more comprehensive fix from Go runtime.
Currently, bucket metadata is being loaded serially inside ListBuckets
Objet API. Fix that by loading the bucket metadata as the number of
erasure sets * 10, which is a good approximation.
Go's net/http is notoriously difficult to have a streaming
deadlines per READ/WRITE on the net.Conn if we add them they
interfere with the Go's internal requirements for a HTTP
connection.
Remove this support for now
fixes#19853
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 is to support deployments migrating from a multi-pooled
wider stripe to lower stripe. MINIO_STORAGE_CLASS_STANDARD
is still expected to be same for all pools. So you can satisfy
adding custom drive count based pools by adjusting the storage
class value.
```
version: v2
address: ':9000'
rootUser: 'minioadmin'
rootPassword: 'minioadmin'
console-address: ':9001'
pools: # Specify the nodes and drives with pools
-
args:
- 'node{11...14}.example.net/data{1...4}'
-
args:
- 'node{15...18}.example.net/data{1...4}'
-
args:
- 'node{19...22}.example.net/data{1...4}'
-
args:
- 'node{23...34}.example.net/data{1...10}'
set-drive-count: 6
```
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.
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
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.
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
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.
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
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.
