Optimize DeleteObject API to avoid extra
GetObjectInfo call on the replicating side.
For receiving side, it is just a regular
DeleteObject call.
Bonus: Fix a corner case where version purged is
absent on target (either due to replication not yet
complete or target version already deleted in a
one-way replication or when replication was disabled).
In such cases, mark version purge complete.
* Reduce allocations
* Add stringsHasPrefixFold which can compare string prefixes, while ignoring case and not allocating.
* Reuse all msgp.Readers
* Reuse metadata buffers when not reading data.
* Make type safe. Make buffer 4K instead of 8.
* Unslice
there is a possibility that slow drives can actually add latency
to the overall call, leading to a large spike in latency.
this can happen if there are other parallel listObjects()
calls to the same drive, in-turn causing each other to sort
of serialize.
this potentially improves performance and makes PutObject()
also non-blocking.
on "unversioned" buckets there are situations
when successive concurrent I/O can lead to
an inconsistent state() with mtime while the
etag might be the same for the object on disk.
in such a scenario it is possible for us to
allow reading of the object since etag matches
and if etag matches we are guaranteed that we
have enough copies the object will be readable
and same.
This PR allows fallback in such scenarios.
fixes an issue under bucket replication could cause
ETags for replicated SSE-S3 single part PUT objects,
to fail as we would attempt a decryption while listing,
or stat() operation.
Removes the bloom filter since it has so limited usability, often gets saturated anyway and adds a bunch of complexity to the scanner.
Also removes a tiny bit of CPU by each write operation.
Move to using `xl.meta` data structure to keep temporary partInfo,
this allows for a future change where we move to different parts to
different drives.
PUT shall only proceed if pre-conditions are met, the new
code uses
- x-minio-source-mtime
- x-minio-source-etag
to verify if the object indeed needs to be replicated
or not, allowing us to avoid StatObject() call.
This PR is a continuation of the previous change instead
of returning an error, instead trigger a spot heal on the
'xl.meta' and return only after the healing is complete.
This allows for future GETs on the same resource to be
consistent for any version of the object.
xl.meta gets written and never rolled back, however
we definitely need to validate the state that is
persisted on the disk, if there are inconsistencies
- more than write quorum we should return an error
to the client
- if write quorum was achieved however there are
inconsistent xl.meta's we should simply trigger
an MRF on them
The bottom line is delete markers are a nuisance,
most applications are not version aware and this
has simply complicated the version management.
AWS S3 gave an unnecessary complication overhead
for customers, they need to now manage these
markers by applying ILM settings and clean
them up on a regular basis.
To make matters worse all these delete markers
get replicated as well in a replicated setup,
requiring two ILM settings on each site.
This PR is an attempt to address this inferior
implementation by deviating MinIO towards an
idempotent delete marker implementation i.e
MinIO will never create any more than single
consecutive delete markers.
This significantly reduces operational overhead
by making versioning more useful for real data.
This is an S3 spec deviation for pragmatic reasons.
The path is marked dirty automatically when healObject() is called, which is
wrong. HealObject() is called during self-healing and this will lead to
an increase in the false positive result of the bloom filter.
Also move NSUpdated() from renameData() and call it directly in
CompleteMultipart and PutObject, this is not a functional change but
it will make it less prone to errors in the future.
Add up to 256 bytes of padding for compressed+encrypted files.
This will obscure the obvious cases of extremely compressible content
and leave a similar output size for a very wide variety of inputs.
This does *not* mean the compression ratio doesn't leak information
about the content, but the outcome space is much smaller,
so often *less* information is leaked.
We need to make sure if we cannot read bucket metadata
for some reason, and bucket metadata is not missing and
returning corrupted information we should panic such
handlers to disallow I/O to protect the overall state
on the system.
In-case of such corruption we have a mechanism now
to force recreate the metadata on the bucket, using
`x-minio-force-create` header with `PUT /bucket` API
call.
Additionally fix the versioning config updated state
to be set properly for the site replication healing
to trigger correctly.
readAllXL would return inlined data for outdated disks
causing "read" to return incorrect content to the client,
this PR fixes this behavior by making sure we skip such
outdated disks appropriately based on the latest ModTime
on the disk.
Main motivation is move towards a common backend format
for all different types of modes in MinIO, allowing for
a simpler code and predictable behavior across all features.
This PR also brings features such as versioning, replication,
transitioning to single drive setups.
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.
- do not need to restrict prefix exclusions that do not
have `/` as suffix, relax this requirement as spark may
have staging folders with other autogenerated characters
, so we are better off doing full prefix March and skip.
- multiple delete objects was incorrectly creating a
null delete marker on a versioned bucket instead of
creating a proper versioned delete marker.
- do not suspend paths on the excluded prefixes during
delete operations to avoid creating `null` delete markers,
honor suspension of versioning only at bucket level for
delete markers.
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
```
do not modify opts.UserDefined after object-handler
has set all the necessary values, any mutation needed
should be done on a copy of this value not directly.
As there are other pieces of code that access opts.UserDefined
concurrently this becomes challenging.
fixes#14856
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
- GetObject() with vid should return 405
- GetObject() without vid should return 404
- ListObjects() should ignore this object if this is the "latest" version of the object
- ListObjectVersions() should list this object as "DELETE marker"
- Remove data parts before sync'ing the version pending purge
- speedtest logs calls that were canceled
spuriously, in situations where it should
be ignored.
- all errors of interest are always sent back
to the client there is no need to log them
on the server console.
- PUT failures should negate the increments
such that GET is not attempted on unsuccessful
calls.
- do not attempt MRF on speedtest objects.
Deleting bulk objects had an issue since the relevant versionID
is not passed through the layers to ensure that the dangling
object purge actually works cleanly.
This is a continuation of quorum related error returned by
multi-object delete API from #14248
This PR ensures that we pass down correct information as
well as extend the scope of dangling object detection.
some upgraded objects might not get listed due
to different quorum ratios across objects.
make sure to list all objects that satisfy the
maximum possible quorum.
When reading input for PutObject or PutObjectPart add a readahead buffer for big inputs.
This will make network reads+hashing separate run async with erasure coding and writes. This will reduce overall latency in distributed setups where the input is from upstream and writes go to other servers.
We will read at 2 buffers ahead, meaning one will always be ready/waiting and one is currently being read from.
This improves PutObject and PutObjectParts for these cases.
This PR simplifies few things
- Multipart parts are renamed, upon failure are unrenamed() keep this
multipart specific behavior it is needed and works fine.
- AbortMultipart should blindly delete once lock is acquired instead
of re-reading metadata and calculating quorum, abort is a delete()
operation and client has no business looking for errors on this.
- Skip Access() calls to folders that are operating on
`.minio.sys/multipart` folder as well.
Large clusters with multiple sets, or multi-pool setups at times might
fail and report unexpected "file not found" errors. This can become
a problem during startup sequence when some files need to be created
at multiple locations.
- This PR ensures that we nil the erasure writers such that they
are skipped in RenameData() call.
- RenameData() doesn't need to "Access()" calls for `.minio.sys`
folders they always exist.
- Make sure PutObject() never returns ObjectNotFound{} for any
errors, make sure it always returns "WriteQuorum" when renameData()
fails with ObjectNotFound{}. Return appropriate errors for all
other cases.
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
```
λ mc admin decommission start alias/ http://minio{1...2}/data{1...4}
```
```
λ mc admin decommission status alias/
┌─────┬─────────────────────────────────┬──────────────────────────────────┬────────┐
│ ID │ Pools │ Capacity │ Status │
│ 1st │ http://minio{1...2}/data{1...4} │ 439 GiB (used) / 561 GiB (total) │ Active │
│ 2nd │ http://minio{3...4}/data{1...4} │ 329 GiB (used) / 421 GiB (total) │ Active │
└─────┴─────────────────────────────────┴──────────────────────────────────┴────────┘
```
```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}
Progress: ===================> [1GiB/sec] [15%] [4TiB/50TiB]
Time Remaining: 4 hours (started 3 hours ago)
```
```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}
ERROR: This pool is not scheduled for decommissioning currently.
```
```
λ mc admin decommission cancel alias/
┌─────┬─────────────────────────────────┬──────────────────────────────────┬──────────┐
│ ID │ Pools │ Capacity │ Status │
│ 1st │ http://minio{1...2}/data{1...4} │ 439 GiB (used) / 561 GiB (total) │ Draining │
└─────┴─────────────────────────────────┴──────────────────────────────────┴──────────┘
```
> NOTE: Canceled decommission will not make the pool active again, since we might have
> Potentially partial duplicate content on the other pools, to avoid this scenario be
> very sure to start decommissioning as a planned activity.
```
λ mc admin decommission cancel alias/ http://minio{1...2}/data{1...4}
┌─────┬─────────────────────────────────┬──────────────────────────────────┬────────────────────┐
│ ID │ Pools │ Capacity │ Status │
│ 1st │ http://minio{1...2}/data{1...4} │ 439 GiB (used) / 561 GiB (total) │ Draining(Canceled) │
└─────┴─────────────────────────────────┴──────────────────────────────────┴────────────────────┘
```
This PR is an attempt to make this configurable
as not all situations have same level of tolerable
delta, i.e disks are replaced days apart or even
hours.
There is also a possibility that nodes have drifted
in time, when NTP is not configured on the system.
