- The race happens with a goroutine that refreshes IAM cache data from storage.
- It could lead to deleted users re-appearing as valid live credentials.
- This change also causes CI to run tests without a race flag (in addition to
running it with).
deleting collection of versions belonging
to same object, we can avoid re-reading
the xl.meta from the disk instead purge
all the requested versions in-memory,
the tradeoff is to allocate a map to de-dup
the versions, allow disks to be read only
once per object.
additionally reduce the data transfer between
nodes by shortening msgp data values.
- combine similar looking functionalities into single
handlers, and remove unnecessary proxying of the
requests at handler layer.
- remove bucket forwarding handler as part of default setup
add it only if bucket federation is enabled.
Improvements observed for 1kiB object reads.
```
-------------------
Operation: GET
Operations: 4538555 -> 4595804
* Average: +1.26% (+0.2 MiB/s) throughput, +1.26% (+190.2) obj/s
* Fastest: +4.67% (+0.7 MiB/s) throughput, +4.67% (+739.8) obj/s
* 50% Median: +1.15% (+0.2 MiB/s) throughput, +1.15% (+173.9) obj/s
```
Preemptively disable AVX512 until https://github.com/golang/go/issues/49233 has been resolved.
This potentially affects reedsolomon, simdjson, sha256-simd, md5-simd packages.
Init order requires a separate package since main itself is initialized last, but imports are initialized in the order they are imported from main (confirmed).
Removes RLock/RUnlock for updating metadata,
since we already take a write lock to update
metadata, this change removes reading of xl.meta
as well as an additional lock, the performance gain
should increase 3x theoretically for
- PutObjectRetention
- PutObjectLegalHold
This optimization is mainly for Veeam like
workloads that require a certain level of iops
from these API calls, we were losing iops.
read/writers are not concurrent in handlers
and self contained - no need to use atomics on
them.
avoids unnecessary contentions where it's not
required.
Logger targets were not race protected against concurrent updates from for example `HTTPConsoleLoggerSys`.
Restrict direct access to targets and make slices immutable so a returned slice can be processed safely without locks.
various situations where the client is retrying the request
server going through shutdown might incorrectly send 403
which is a non-retriable error, this PR allows for clients
when they retry an attempt to go to another healthy pod
or server in a distributed cluster - assuming it is a properly
load-balanced setup.
As we use etcd's watch interface, we do not need the
network notifications as they are no-ops anyway.
Bonus: Remove globalEtcdClient global usage in IAM
IAMSys is a higher-level object, that should not be called by the lower-level
storage API interface for IAM. This is to prepare for further improvements in
IAM code.
etcd operations, get/put/delete, should be logged when failed
with errors other than not found error. It will make it easier to
see connections issues from MinIO to etcd.
also simplify readerLocks to be just like
writeLocks, DRWMutex() is never shared
and there are order guarantees that need
for such a thing to work for RLock's
3DES is enabled by default in Golang, this commit will use
tls.CipherSuites() which returns all ciphers excluding those with
security issues, such as 3DES.
Refresh was doing a linear scan of all locked resources. This was adding
up to significant delays in locking on high load systems with long
running requests.
Add a secondary index for O(log(n)) UID -> resource lookups.
Multiple resources are stored in consecutive strings.
Bonus fixes:
* On multiple Unlock entries unlock the write locks we can.
* Fix `expireOldLocks` skipping checks on entry after expiring one.
* Return fast on canTakeUnlock/canTakeLock.
* Prealloc some places.
We do not reliably know the length of compressed data, including headers.
Request until the end-of-stream. Results will still be properly truncated.
Fixes#13441
Testing with `mc sql --compression BZIP2 --csv-input "rd=\n,fh=USE,fd=;" --query="select COUNT(*) from S3Object" local2/testbucket/nyc-taxi-data-10M.csv.bz2`
Before 96.98s, after 10.79s. Uses about 70% CPU while running.
