NOTE: This feature is not retro-active; it will not cater to previous transactions
on existing setups.
To enable this feature, please set ` _MINIO_DRIVE_QUORUM=on` environment
variable as part of systemd service or k8s configmap.
Once this has been enabled, you need to also set `list_quorum`.
```
~ mc admin config set alias/ api list_quorum=auto`
```
A new debugging tool is available to check for any missing counters.
Following policies if present
```
"Condition": {
"IpAddress": {
"aws:SourceIp": [
"54.240.143.0/24",
"2001:DB8:1234:5678::/64"
]
}
}
```
And client is making a request to MinIO via IPv6 can
potentially crash the server.
Workarounds are turn-off IPv6 and use only IPv4
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.
minio_node_tier_ttlb_seconds - Distribution of time to last byte for streaming objects from warm tier
minio_node_tier_requests_success - Number of requests to download object from warm tier that were successful
minio_node_tier_requests_failure - Number of requests to download object from warm tier that failed
SUBNET now has a v2 of license that is returned in the new key
`license_v2`. mc will start reading and storing the same. (The old key
`license` is deprecated but is still available in SUBNET response to
ensure that the current released version of minio doesn't break)
`(*xlStorageDiskIDCheck).CreateFile` wraps the incoming reader in `xioutil.NewDeadlineReader`.
The wrapped reader is handed to `(*xlStorage).CreateFile`. This performs a Read call via `writeAllDirect`,
which reads into an `ODirectPool` buffer.
`(*DeadlineReader).Read` spawns an async read into the buffer. If a timeout is hit while reading,
the read operation returns to `writeAllDirect`. The operation returns an error and the buffer is reused.
However, if the async `Read` call unblocks, it will write to the now recycled buffer.
Fix: Remove the `DeadlineReader` - it is inherently unsafe. Instead, rely on the network timeouts.
This is not a disk timeout, anyway.
Regression in https://github.com/minio/minio/pull/17745
This patch adds the targetID to the existing notification target metrics
and deprecates the current target metrics which points to the overall
event notification subsystem
historically, we have always kept storage-rest-server
and a local storage API separate without much trouble,
since they both can independently operate due to no
special state() between them.
however, over some time, we have added state()
such as
- drive monitoring threads now there will be "2" of
them per drive instead of just 1.
- concurrent tokens available per drive are now twice
instead of just single shared, allowing unexpectedly
high amount of I/O to go through.
- applying serialization by using walkMutexes can now
be adequately honored for both remote callers and local
callers.
Regression from #18285. CopyObject options were inheriting source MTime
for metadata timestamps if unspecified, removing this prevented metadata
updates from being applied on target.
By default the cpu load is the cumulative of all cores. Capture the
percentage load (load * 100 / cpu-count)
Also capture the percentage memory used (used * 100 / total)
use memory for async events when necessary and dequeue them as
needed, for all synchronous events customers must enable
```
MINIO_API_SYNC_EVENTS=on
```
Async events can be lost but is upto to the admin to
decide what they want, we will not create run-away number
of goroutines per event instead we will queue them properly.
Currently the max async workers is set to runtime.GOMAXPROCS(0)
which is more than sufficient in general, but it can be made
configurable in future but may not be needed.
there is potential for danglingWrites when quorum failed, where
only some drives took a successful write, generally this is left
to the healing routine to pick it up. However it is better that
we delete it right away to avoid potential for quorum issues on
version signature when there are many versions of an object.
it is okay if the warm-tier cannot keep up, we should continue
to take I/O at hot-tier, only fail hot-tier or block it when
we are disk full.
Bonus: add metrics counter for these missed tasks, we will
know for sure if one of the node is lagging behind or is
losing too many tasks during transitioning.
Pedro Juarez
Zhou Ting
Harshavardhana
Anis Eleuch
Daniel Valdivia
Krishnan Parthasarathi
Poorna
Shireesh Anjal
Taran Pelkey
Klaus Post
Praveen raj Mani
jiuker
Shubhendu