Rename Trigger -> Event to be a more appropriate
name for the audit event.
Bonus: fixes a bug in AddMRFWorker() it did not
cancel the waitgroup, leading to waitgroup leaks.
There is no point in compressing very small files.
Typically the effective size on disk will be the same due to disk blocks.
So don't waste resources on extremely small files.
We don't check on multipart. 1) because we don't know and 2) this is very likely a big object anyway.
In a replicated setup, when an object is updated in one cluster but
still waiting to be replicated to the other cluster, GET requests with
if-match, and range headers will likely fail. It is better to proxy
requests instead.
Also, this commit avoids printing verbose logs about precondition &
range errors.
If sending a white space during a long S3 handler call fails,
the whitespace goroutine forgets to return a result to the caller.
Therefore, the complete multipart handler will be blocked.
Remember to send the header written result to the caller
or/and close the channel.
PR #15041 fixed replicating 'null' version however
due to a regression from #14994 caused the target
versions for these 'null' versioned objects to have
different 'versions', this may cause confusion with
bi-directional replication and cause double replication.
This PR fixes this properly by making sure we replicate
the correct versions on the objects.
updating metadata with CopyObject on a versioned bucket
causes the latest version to be not readable, this PR fixes
this properly by handling the inline data bug fix introduced
in PR #14780.
This bug affects only inlined data.
Spark/Hadoop workloads which use Hadoop MR
Committer v1/v2 algorithm upload objects to a
temporary prefix in a bucket. These objects are
'renamed' to a different prefix on Job commit.
Object storage admins are forced to configure
separate ILM policies to expire these objects
and their versions to reclaim space.
Our solution:
This can be avoided by simply marking objects
under these prefixes to be excluded from versioning,
as shown below. Consequently, these objects are
excluded from replication, and don't require ILM
policies to prune unnecessary versions.
- MinIO Extension to Bucket Version Configuration
```xml
<VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
<Status>Enabled</Status>
<ExcludeFolders>true</ExcludeFolders>
<ExcludedPrefixes>
<Prefix>app1-jobs/*/_temporary/</Prefix>
</ExcludedPrefixes>
<ExcludedPrefixes>
<Prefix>app2-jobs/*/__magic/</Prefix>
</ExcludedPrefixes>
<!-- .. up to 10 prefixes in all -->
</VersioningConfiguration>
```
Note: `ExcludeFolders` excludes all folders in a bucket
from versioning. This is required to prevent the parent
folders from accumulating delete markers, especially
those which are shared across spark workloads
spanning projects/teams.
- To enable version exclusion on a list of prefixes
```
mc version enable --excluded-prefixes "app1-jobs/*/_temporary/,app2-jobs/*/_magic," --exclude-prefix-marker myminio/test
```
This PR fixes two issues
- The first fix is a regression from #14555, the fix itself in #14555
is correct but the interpretation of that information by the
object layer code for "replication" was not correct. This PR
tries to fix this situation by making sure the "Delete" replication
works as expected when "VersionPurgeStatus" is already set.
Without this fix, there is a DELETE marker created incorrectly on
the source where the "DELETE" was triggered.
- The second fix is perhaps an older problem started since we inlined-data
on the disk for small objects, CopyObject() incorrectly inline's
a non-inlined data. This is due to the fact that we have code where
we read the `part.1` under certain conditions where the size of the
`part.1` is less than the specific "threshold".
This eventually causes problems when we are "deleting" the data that
is only inlined, which means dataDir is ignored leaving such
dataDir on the disk, that looks like an inconsistent content on
the namespace.
fixes#14767
- This change switches to a new parquet library
- SelectObjectContent now takes a single lock at the beginning and holds it
during the operation. Previously the operation took a lock every time the
parquet library performed a Seek on the underlying object stream.
- Add basic support for LogicalType annotations for timestamps.
This commit simplifies the ETag decryption and size adjustment
when listing object parts.
When listing object parts, MinIO has to decrypt the ETag of all
parts if and only if the object resp. the parts is encrypted using
SSE-S3.
In case of SSE-KMS and SSE-C, MinIO returns a pseudo-random ETag.
This is inline with AWS S3 behavior.
Further, MinIO has to adjust the size of all encrypted parts due to
the encryption overhead.
The ListObjectParts does specifically not use the KMS bulk decryption
API (4d2fc530d0) since the ETags of all
parts are encrypted using the same object encryption key. Therefore,
MinIO only has to connect to the KMS once, even if there are multiple
parts resp. ETags. It can simply reuse the same object encryption key.
Signed-off-by: Andreas Auernhammer <hi@aead.dev>
This commit fixes two bugs in the `PutObjectPartHandler`.
First, `PutObjectPart` should return SSE-KMS headers
when the object is encrypted using SSE-KMS.
Before, this was not the case.
Second, the ETag should always be a 16 byte hex string,
perhaps followed by a `-X` (where `X` is the number of parts).
However, `PutObjectPart` used to return the encrypted ETag
in case of SSE-KMS. This leaks MinIO internal etag details
through the S3 API.
The combination of both bugs causes clients that use SSE-KMS
to fail when trying to validate the ETag. Since `PutObjectPart`
did not send the SSE-KMS response headers, the response looked
like a plaintext `PutObjectPart` response. Hence, the client
tries to verify that the ETag is the content-md5 of the part.
This could never be the case, since MinIO used to return the
encrypted ETag.
Therefore, clients behaving as specified by the S3 protocol
tried to verify the ETag in a situation they should not.
Signed-off-by: Andreas Auernhammer <hi@aead.dev>
Enabled with `mc admin config set alias/ api gzip_objects=on`
Standard filtering applies (1K response minimum, not compressed content
type, not range request, gzip accepted by client).
Return errors when untar fails at once.
Current error handling was quite a mess. Errors are written
to the stream, but processing continues.
Instead, return errors when they occur and transform
internal errors to bad request errors, since it is likely a
problem with the input.
Fixes#13832
- New sub-system has "region" and "name" fields.
- `region` subsystem is marked as deprecated, however still works, unless the
new region parameter under `site` is set - in this case, the region subsystem is
ignored. `region` subsystem is hidden from top-level help (i.e. from `mc admin
config set myminio`), but appears when specifically requested (i.e. with `mc
admin config set myminio region`).
- MINIO_REGION, MINIO_REGION_NAME are supported as legacy environment variables for server region.
- Adds MINIO_SITE_REGION as the current environment variable to configure the
server region and MINIO_SITE_NAME for the site name.
- Go might reset the internal http.ResponseWriter() to `nil`
after Write() failure if the go-routine has returned, do not
flush() such scenarios and avoid spurious flushes() as
returning handlers always flush.
- fix some racy tests with the console
- avoid ticker leaks in certain situations
- 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>
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
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.
- Supports object locked buckets that require
PutObject() to set content-md5 always.
- Use SSE-S3 when S3 gateway is being used instead
of SSE-KMS for auto-encryption.
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.
* reduce extra getObjectInfo() calls during ILM transition
This PR also changes expiration logic to be non-blocking,
scanner is now free from additional costs incurred due
to slower object layer calls and hitting the drives.
* move verifying expiration inside locks
- deletes should always Sweep() for tiering at the
end and does not need an extra getObjectInfo() call
- puts, copy and multipart writes should conditionally
do getObjectInfo() when tiering targets are configured
- introduce 'TransitionedObject' struct for ease of usage
and understanding.
- multiple-pools optimization deletes don't need to hold
read locks verifying objects across namespace and pools.
Harshavardhana
Klaus Post
Minio Trusted
Anis Elleuch
Poorna
Andreas Auernhammer
Krishnan Parthasarathi
Aditya Manthramurthy