Skip notifications on objects that might have had
an error during deletion, this also avoids unnecessary
replication attempt on such objects.
Refactor some places to make sure that we have notified
the client before we
- notify
- schedule for replication
- lifecycle etc.
continuation of PR#11491 for multiple server pools and
bi-directional replication.
Moving proxying for GET/HEAD to handler level rather than
server pool layer as this was also causing incorrect proxying
of HEAD.
Also fixing metadata update on CopyObject - minio-go was not passing
source version ID in X-Amz-Copy-Source header
filter out relevant objects for each pool to
avoid calling, further delete operations on
subsequent pools where some of these objects
might not exist.
This is mainly useful to avoid situations
during bi-directional bucket replication.
top-level options shouldn't be passed down for
GetObjectInfo() while verifying the objects in
different pools, this is to make sure that
we always get the value from the pool where
the object exists.
This change moves away from a unified constructor for plaintext and encrypted
usage. NewPutObjReader is simplified for the plain-text reader use. For
encrypted reader use, WithEncryption should be called on an initialized PutObjReader.
Plaintext:
func NewPutObjReader(rawReader *hash.Reader) *PutObjReader
The hash.Reader is used to provide payload size and md5sum to the downstream
consumers. This is different from the previous version in that there is no need
to pass nil values for unused parameters.
Encrypted:
func WithEncryption(encReader *hash.Reader,
key *crypto.ObjectKey) (*PutObjReader, error)
This method sets up encrypted reader along with the key to seal the md5sum
produced by the plain-text reader (already setup when NewPutObjReader was
called).
Usage:
```
pReader := NewPutObjReader(rawReader)
// ... other object handler code goes here
// Prepare the encrypted hashed reader
pReader, err = pReader.WithEncryption(encReader, objEncKey)
```
NoncurrentVersionExpiry can remove single delete markers according to
S3 spec:
```
The NoncurrentVersionExpiration action in the same Lifecycle
configuration removes noncurrent objects 30 days after they become
noncurrent. Thus, in this example, all object versions are permanently
removed 90 days after object creation. You will have expired object
delete markers, but Amazon S3 detects and removes the expired object
delete markers for you.
```
Collection of SMART information doesn't work in certain scenarios e.g.
in a container based setup. In such cases, instead of returning an error
(without any data), we should only set the error on the smartinfo
struct, so that other important drive hw info like device, mountpoint,
etc is retained in the output.
The code inside the `hotfix` taget is overriding the values set at the
beginning of the Makefile affecting other make targets as well.
For example, running `TAG=mytag make docker` also ends up tagging
the docker image as a hotfix instead of `mytag`.
Using the `eval` function inside the `hotfix` target fixes this.
during rolling upgrade, provide a more descriptive error
message and discourage rolling upgrade in such situations,
allowing users to take action.
additionally also rename `slashpath -> pathutil` to avoid
a slighly mis-pronounced usage of `path` package.
When lifecycle decides to Delete an object and not a version in a
versioned bucket, the code should create a delete marker and not
removing the scanned version.
This commit fixes the issue.
The connections info of the processes takes up a huge amount of space,
and is not important for adding any useful health checks. Removing it
will significantly reduce the size of the subnet health report.
- lock maintenance loop was incorrectly sleeping
as well as using ticker badly, leading to
extra expiration routines getting triggered
that could flood the network.
- multipart upload cleanup should be based on
timer instead of ticker, to ensure that long
running jobs don't get triggered twice.
- make sure to get right lockers for object name
Replaces #11449
Does concurrent healing but limits concurrency to 50 buckets.
Aborts on first error.
`errgroup.Group` is extended to facilitate this in a generic way.
We use multiple libraries in health info, but the returned error does
not indicate exactly what library call is failing, hence adding named
tags to returned errors whenever applicable.
After recent refactor where lifecycle started to rely on ObjectInfo to
make decisions, it turned out there are some issues calculating
Successor Modtime and NumVersions, hence the lifecycle is not working as
expected in a versioning bucket in some cases.
This commit fixes the behavior.
When a directory object is presented as a `prefix`
param our implementation tend to only list objects
present common to the `prefix` than the `prefix` itself,
to mimic AWS S3 like flat key behavior this PR ensures
that if `prefix` is directory object, it should be
automatically considered to be part of the eventual
listing result.
fixes#11370
few places were still using legacy call GetObject()
which was mainly designed for client response writer,
use GetObjectNInfo() for internal calls instead.
for some flaky networks this may be too fast of a value
choose a defensive value, and let this be addressed
properly in a new refactor of dsync with renewal logic.
Also enable faster fallback delay to cater for misconfigured
IPv6 servers
refer
- https://golang.org/pkg/net/#Dialer
- https://tools.ietf.org/html/rfc6555
- using miniogo.ObjectInfo.UserMetadata is not correct
- using UserTags from Map->String() can change order
- ContentType comparison needs to be removed.
- Compare both lowercase and uppercase key names.
- do not silently error out constructing PutObjectOptions
if tag parsing fails
- avoid notification for empty object info, failed operations
should rely on valid objInfo for notification in all
situations
- optimize copyObject implementation, also introduce a new
replication event
- clone ObjectInfo() before scheduling for replication
- add additional headers for comparison
- remove strings.EqualFold comparison avoid unexpected bugs
- fix pool based proxying with multiple pools
- compare only specific metadata
Co-authored-by: Poorna Krishnamoorthy <poornas@users.noreply.github.com>
This commit refactors the SSE implementation and add
S3-compatible SSE-KMS context handling.
SSE-KMS differs from SSE-S3 in two main aspects:
1. The client can request a particular key and
specify a KMS context as part of the request.
2. The ETag of an SSE-KMS encrypted object is not
the MD5 sum of the object content.
This commit only focuses on the 1st aspect.
A client can send an optional SSE context when using
SSE-KMS. This context is remembered by the S3 server
such that the client does not have to specify the
context again (during multipart PUT / GET / HEAD ...).
The crypto. context also includes the bucket/object
name to prevent renaming objects at the backend.
Now, AWS S3 behaves as following:
- If the user does not provide a SSE-KMS context
it does not store one - resp. does not include
the SSE-KMS context header in the response (e.g. HEAD).
- If the user specifies a SSE-KMS context without
the bucket/object name then AWS stores the exact
context the client provided but adds the bucket/object
name internally. The response contains the KMS context
without the bucket/object name.
- If the user specifies a SSE-KMS context with
the bucket/object name then AWS again stores the exact
context provided by the client. The response contains
the KMS context with the bucket/object name.
This commit implements this behavior w.r.t. SSE-KMS.
However, as of now, no such object can be created since
the server rejects SSE-KMS encryption requests.
This commit is one stepping stone for SSE-KMS support.
Co-authored-by: Harshavardhana <harsha@minio.io>
Poorna Krishnamoorthy
Harshavardhana
Aditya Manthramurthy
Anis Elleuch
Krishnan Parthasarathi
Shireesh Anjal
Krishna Srinivas
Ritesh H Shukla
Klaus Post
Sarasa Kisaragi
Minio Trusted
Harshavardhana
ArthurMa
Andreas Auernhammer