When the replication rule is based on tag matches, the replication process
should pick up targets matching the tags specified in the replication
rule.
Fixing regression due to #12880
Currently tag removal leaves replication state as `PENDING`
because the `HEAD` api returns just a tag count but not the
actual tags, and this is treated as a no-op
- r.ulock was not locked when r.UsageCache was being modified
Bonus:
- simplify code by removing some unnecessary clone methods - we can
do this because go arrays are values (not pointers/references) that are
automatically copied on assignment.
- remove some unnecessary map allocation calls
A corner case can occur where the delete-marker was propagated
but the metadata could not be updated on the primary. Sending
a RemoveObject call with the Delete marker version would end
up permanently deleting the version on target. Instead, perform
a Stat on the delete-marker version on target and redo replication
only if the delete-marker is missing on target.
currently getReplicationConfig() failure incorrectly
returns error on unexpected buckets upon upgrade, we
should always calculate usage as much as possible.
Existing:
```go
type xlMetaV2 struct {
Versions []xlMetaV2Version `json:"Versions" msg:"Versions"`
}
```
Serialized as regular MessagePack.
```go
//msgp:tuple xlMetaV2VersionHeader
type xlMetaV2VersionHeader struct {
VersionID [16]byte
ModTime int64
Type VersionType
Flags xlFlags
}
```
Serialize as streaming MessagePack, format:
```
int(headerVersion)
int(xlmetaVersion)
int(nVersions)
for each version {
binary blob, xlMetaV2VersionHeader, serialized
binary blob, xlMetaV2Version, serialized.
}
```
xlMetaV2VersionHeader is <= 30 bytes serialized. Deserialized struct
can easily be reused and does not contain pointers, so efficient as a
slice (single allocation)
This allows quickly parsing everything as slices of bytes (no copy).
Versions are always *saved* sorted by modTime, newest *first*.
No more need to sort on load.
* Allows checking if a version exists.
* Allows reading single version without unmarshal all.
* Allows reading latest version of type without unmarshal all.
* Allows reading latest version without unmarshal of all.
* Allows checking if the latest is deleteMarker by reading first entry.
* Allows adding/updating/deleting a version with only header deserialization.
* Reduces allocations on conversion to FileInfo(s).
Add a new Prometheus metric for bucket replication latency
e.g.:
minio_bucket_replication_latency_ns{
bucket="testbucket",
operation="upload",
range="LESS_THAN_1_MiB",
server="127.0.0.1:9001",
targetArn="arn:minio:replication::45da043c-14f5-4da4-9316-aba5f77bf730:testbucket"} 2.2015663e+07
Co-authored-by: Klaus Post <klauspost@gmail.com>
- remove some duplicated code
- reported a bug, separately fixed in #13664
- using strings.ReplaceAll() when needed
- using filepath.ToSlash() use when needed
- remove all non-Go style comments from the codebase
Co-authored-by: Aditya Manthramurthy <donatello@users.noreply.github.com>
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.
Replication was not working properly for encrypted
objects in single PUT object for preserving etag,
We need to make sure to preserve etag such that replication
works properly and not gets into infinite loops of copying
due to ETag mismatches.
This will allow objects to relinquish read lock held during
replication earlier if the target is known to be down
without waiting for connection timeout when replication
is attempted.
its possible that some multipart uploads would have
uploaded only single parts so relying on `len(o.Parts)`
alone is not sufficient, we need to look for ETag
pattern to be absolutely sure.
In case of replication healing, we always store completed status in the
object metadata, which is wrong because replication could fail in the
further retries.
auditLog should be attempted right before the
return of the function and not multiple times
per function, this ensures that we only trigger
it once per function call.
if object was uploaded with multipart. This is to ensure that
GetObject calls with partNumber in URI request parameters
have same behavior on source and replication target.
This feature also changes the default port where
the browser is running, now the port has moved
to 9001 and it can be configured with
```
--console-address ":9001"
```
Also adding an API to allow resyncing replication when
existing object replication is enabled and the remote target
is entirely lost. With the `mc replicate reset` command, the
objects that are eligible for replication as per the replication
config will be resynced to target if existing object replication
is enabled on the rule.
This is to ensure that there are no projects
that try to import `minio/minio/pkg` into
their own repo. Any such common packages should
go to `https://github.com/minio/pkg`
when bidirectional replication is set up.
If ReplicaModifications is enabled in the replication
configuration, sync metadata updates to source if
replication rules are met. By default, if this
configuration is unset, MinIO automatically sync's
metadata updates on replica back to the source.
failed queue should be used for retried requests to
avoid cascading the failures into incoming queue, this
would allow for a more fair retry for failed replicas.
Additionally also avoid taking context in queue task
to avoid confusion, simplifies its usage.
There can be situations where replication completed but the
`X-Amz-Replication-Status` metadata update failed such as
when the server returns 503 under high load. This object version will
continue to be picked up by the scanner and replicateObject would perform
no action since the versions match between source and target.
The metadata would never reflect that replication was successful
without this fix, leading to repeated re-queuing.
Currently, only credentials could be updated with
`mc admin bucket remote edit`.
Allow updating synchronous replication flag, path,
bandwidth and healthcheck duration on buckets, and
a flag to disable proxying in active-active replication.
https://github.com/minio/console takes over the functionality for the
future object browser development
Signed-off-by: Harshavardhana <harsha@minio.io>
just like replication workers, allow failed replication
workers to be configurable in situations like DR failures
etc to catch up on replication sooner when DR is back
online.
Signed-off-by: Harshavardhana <harsha@minio.io>
With this change, MinIO's ILM supports transitioning objects to a remote tier.
This change includes support for Azure Blob Storage, AWS S3 compatible object
storage incl. MinIO and Google Cloud Storage as remote tier storage backends.
Some new additions include:
- Admin APIs remote tier configuration management
- Simple journal to track remote objects to be 'collected'
This is used by object API handlers which 'mutate' object versions by
overwriting/replacing content (Put/CopyObject) or removing the version
itself (e.g DeleteObjectVersion).
- Rework of previous ILM transition to fit the new model
In the new model, a storage class (a.k.a remote tier) is defined by the
'remote' object storage type (one of s3, azure, GCS), bucket name and a
prefix.
* Fixed bugs, review comments, and more unit-tests
- Leverage inline small object feature
- Migrate legacy objects to the latest object format before transitioning
- Fix restore to particular version if specified
- Extend SharedDataDirCount to handle transitioned and restored objects
- Restore-object should accept version-id for version-suspended bucket (#12091)
- Check if remote tier creds have sufficient permissions
- Bonus minor fixes to existing error messages
Co-authored-by: Poorna Krishnamoorthy <poorna@minio.io>
Co-authored-by: Krishna Srinivas <krishna@minio.io>
Signed-off-by: Harshavardhana <harsha@minio.io>
This is an optimization by reducing one extra system call,
and many network operations. This reduction should increase
the performance for small file workloads.