This commit makes the MinIO server behavior more consistent
w.r.t. key usage verification.
When MinIO verifies the client certificates it also checks
that the client certificate is valid of client authentication
(or any (i.e. wildcard) usage).
However, the MinIO server used to not verify the client key usage
when client certificate verification was disabled.
Now, the MinIO server verifies the client key usage even when
client certificate verification has been disabled. This makes
the MinIO behavior more consistent from a client's perspective.
Now, a client certificate has to be valid for client authentication
in all cases.
Signed-off-by: Andreas Auernhammer <hi@aead.dev>
Bonus: if runs have PUT higher then capture it anyways
to display an unexpected result, which provides a way
to understand what might be slowing things down on the
system.
For example on a Data24 WDC setup it is clearly visible
there is a bug in the hardware.
```
./mc admin speedtest wdc/
⠧ Running speedtest (With 64 MiB object size, 32 concurrency) PUT: 31 GiB/s GET: 24 GiB/s
⠹ Running speedtest (With 64 MiB object size, 48 concurrency) PUT: 38 GiB/s GET: 24 GiB/s
MinIO 2021-11-04T06:08:33Z, 6 servers, 48 drives
PUT: 38 GiB/s, 605 objs/s
GET: 24 GiB/s, 383 objs/s
```
Reads are almost 14GiB/sec slower than Writes which
is practically not possible.
This reverts commit 091a7ae359.
- Ensure all actions accessing storage lock properly.
- Behavior change: policies can be deleted only when they
are not associated with any active credentials.
Also adds fix for accidental canned policy removal that was present in the
reverted version of the change.
Windows users often click on the binary without
knowing MinIO is a command-line tool and should be
run from a terminal. Throw a message to guide them
on what to do.
Co-authored-by: Klaus Post <klauspost@gmail.com>
Borrowed idea from Go's usage of this
optimization for ReadFrom() on client
side, we should re-use the 32k buffers
io.Copy() allocates for generic copy
from a reader to writer.
the performance increase for reads for
really tiny objects is at this range
after this change.
> * Fastest: +7.89% (+1.3 MiB/s) throughput, +7.89% (+1308.1) obj/s
- Ensure all actions accessing storage lock properly.
- Behavior change: policies can be deleted only when they
are not associated with any active credentials.
- 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.
