OSS go sdk lacks licensing terms in their
repository, and there has been no activity
On the issue here https://github.com/aliyun/aliyun-oss-go-sdk/issues/245
This PR is to ensure we remove any dependency code which
lacks explicit license file in their repo.
New value defaults to 100K events by default,
but users can tune this value upto any value
they seem necessary.
* increase the limit to maxint64 while validating
Add two new configuration entries, api.requests-max and
api.requests-deadline which have the same role of
MINIO_API_REQUESTS_MAX and MINIO_API_REQUESTS_DEADLINE.
- Removes PerfInfo admin API as its not OBDInfo
- Keep the drive path without the metaBucket in OBD
global latency map.
- Remove all the unused code related to PerfInfo API
- Do not redefined global mib,gib constants use
humanize.MiByte and humanize.GiByte instead always
This PR adds context-based `k=v` splits based
on the sub-system which was obtained, if the
keys are not provided an error will be thrown
during parsing, if keys are provided with wrong
values an error will be thrown. Keys can now
have values which are of a much more complex
form such as `k="v=v"` or `k=" v = v"`
and other variations.
additionally, deprecate unnecessary postgres/mysql
configuration styles, support only
- connection_string for Postgres
- dsn_string for MySQL
All other parameters are removed.
Too many deployments come up with an odd number
of hosts or drives, to facilitate even distribution
among those setups allow for odd and prime numbers
based packs.
- B2 does actually return an MD5 hash for newly uploaded objects
so we can use it to provide better compatibility with S3 client
libraries that assume the ETag is the MD5 hash such as boto.
- depends on change in blazer library.
- new behaviour is only enabled if MinIO's --compat mode is active.
- behaviour for multipart uploads is unchanged (works fine as is).
- Implement a graph algorithm to test network bandwidth from every
node to every other node
- Saturate any network bandwidth adaptively, accounting for slow
and fast network capacity
- Implement parallel drive OBD tests
- Implement a paging mechanism for OBD test to provide periodic updates to client
- Implement Sys, Process, Host, Mem OBD Infos
- total number of S3 API calls per server
- maximum wait duration for any S3 API call
This implementation is primarily meant for situations
where HDDs are not capable enough to handle the incoming
workload and there is no way to throttle the client.
This feature allows MinIO server to throttle itself
such that we do not overwhelm the HDDs.
canonicalize the ENVs such that we can bring these ENVs
as part of the config values, as a subsequent change.
- fix location of per bucket usage to `.minio.sys/buckets/<bucket_name>/usage-cache.bin`
- fix location of the overall usage in `json` at `.minio.sys/buckets/.usage.json`
(avoid conflicts with a bucket named `usage.json` )
- fix location of the overall usage in `msgp` at `.minio.sys/buckets/.usage.bin`
(avoid conflicts with a bucket named `usage.bin`
This commit fixes the env. variable in the
KMS guide used to specify the CA certificates
for the KES server.
Before the env. variable `MINIO_KMS_KES_CAPATH` has
been used - which works in non-containerized environments
due to how MinIO merges the config file and environment
variables. In containerized environments (e.g. docker)
this does not work and trying to specify `MINIO_KMS_KES_CAPATH`
instead of `MINIO_KMS_KES_CA_PATH` eventually leads to MinIO not
trusting the certificate presented by the kes server.
See: cfd12914e1/cmd/crypto/config.go (L186)
To allow better control the cache eviction process.
Introduce MINIO_CACHE_WATERMARK_LOW and
MINIO_CACHE_WATERMARK_HIGH env. variables to specify
when to stop/start cache eviction process.
Deprecate MINIO_CACHE_EXPIRY environment variable. Cache
gc sweeps at 30 minute intervals whenever high watermark is
reached to clear least recently accessed entries in the cache
until sufficient space is cleared to reach the low watermark.
Garbage collection uses an adaptive file scoring approach based
on last access time, with greater weights assigned to larger
objects and those with more hits to find the candidates for eviction.
Thanks to @klauspost for this file scoring algorithm
Co-authored-by: Klaus Post <klauspost@minio.io>
We added support for caching and S3 related metrics in #8591. As
a continuation, it would be helpful to add support for Azure & GCS
gateway related metrics as well.
