it seems in some places we have been wrongly using the
timer.Reset() function, nicely exposed by an example
shared by @donatello https://go.dev/play/p/qoF71_D1oXD
this PR fixes all the usage comprehensively
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
```
Healing decisions would align with skipped folder counters. This can lead to files
never being selected for heal checks on "clean" paths.
Use different hashing methods and take objectHealProbDiv into account when
calculating the cycle.
Found by @vadmeste
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.
This PR removes an unnecessary state that gets
passed around for DiskIDs, which is not necessary
since each disk exactly knows which pool and which
set it belongs to on a running system.
Currently cached DiskId's won't work properly
because it always ends up skipping offline disks
and never runs healing when disks are offline, as
it expects all the cached diskIDs to be present
always. This also sort of made things in-flexible
in terms perhaps a new diskID for `format.json`.
(however this is not a big issue)
This is an unnecessary requirement that healing
via scanner needs all drives to be online, instead
healing should trigger even when partial nodes
and drives are available this ensures that we
keep the SLA in-tact on the objects when disks
are offline for a prolonged period of time.
It is possible that GetLock() call remembers a previously
failed releaseAll() when there are networking issues, now
this state can have potential side effects.
This PR tries to avoid this side affect by making sure
to initialize NewNSLock() for each GetLock() attempts
made to avoid any prior state in the memory that can
interfere with the new lock grants.
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.
After the introduction of Refresh logic in locks, the data scanner can
quit when the data scanner lock is not able to get refreshed. In that
case, the context of the data scanner will get canceled and
runDataScanner() will quit. Another server would pick the scanning
routine but after some time, all nodes can just have all scanning
routine aborted, as described above.
This fix will just run the data scanner in a loop.
- Rename MaxNoncurrentVersions tag to NewerNoncurrentVersions
Note: We apply overlapping NewerNoncurrentVersions rules such that
we honor the highest among applicable limits. e.g if 2 overlapping rules
are configured with 2 and 3 noncurrent versions to be retained, we
will retain 3.
- Expire newer noncurrent versions after noncurrent days
- MinIO extension: allow noncurrent days to be zero, allowing expiry
of noncurrent version as soon as more than configured
NewerNoncurrentVersions are present.
- Allow NewerNoncurrentVersions rules on object-locked buckets
- No x-amz-expiration when NewerNoncurrentVersions configured
- ComputeAction should skip rules with NewerNoncurrentVersions > 0
- Add unit tests for lifecycle.ComputeAction
- Support lifecycle rules with MaxNoncurrentVersions
- Extend ExpectedExpiryTime to work with zero days
- Fix all-time comparisons to be relative to UTC
This unit allows users to limit the maximum number of noncurrent
versions of an object.
To enable this rule you need the following *ilm.json*
```
cat >> ilm.json <<EOF
{
"Rules": [
{
"ID": "test-max-noncurrent",
"Status": "Enabled",
"Filter": {
"Prefix": "user-uploads/"
},
"NoncurrentVersionExpiration": {
"MaxNoncurrentVersions": 5
}
}
]
}
EOF
mc ilm import myminio/mybucket < ilm.json
```
- 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>
also remove HealObjects() code from dataScanner running another
listing from the data-scanner is super in-efficient and in-fact
this code is redundant since we already attempt to heal all
dangling objects anyways.
* 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
Faster healing as well as making healing more
responsive for faster scanner times.
also fixes a bug introduced in #13079, newly replaced
disks were not healing automatically.
- remove sourceCh usage from healing
we already have tasks and resp channel
- use read locks to lookup globalHealConfig
- fix healing resolver to pick candidates quickly
that need healing, without this resolver was
unexpectedly skipping.
Synchronize bucket cycles so it is much more
likely that the same prefixes will be picked up
for scanning.
Use the global bloom filter cycle for that.
Bump bloom filter versions to clear those.
- 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.
Remote caches were not returned correctly, so they would not get updated on save.
Furthermore make some tweaks for more reliable updates.
Invalidate bloom filter to ensure rescan.
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.
- Adds versioning support for S3 based remote tiers that have versioning
enabled. This ensures that when reading or deleting we specify the specific
version ID of the object. In case of deletion, this is important to ensure that
the object version is actually deleted instead of simply being marked for
deletion.
- Stores the remote object's version id in the tier-journal. Tier-journal file
version is not bumped up as serializing the new struct version is
compatible with old journals without the remote object version id.
- `storageRESTVersion` is bumped up as FileInfo struct now includes a
`TransitionRemoteVersionID` member.
- Azure and GCS support for this feature will be added subsequently.
Co-authored-by: Krishnan Parthasarathi <krisis@users.noreply.github.com>
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`
A cache structure will be kept with a tree of usages.
The cache is a tree structure where each keeps track
of its children.
An uncompacted branch contains a count of the files
only directly at the branch level, and contains link to
children branches or leaves.
The leaves are "compacted" based on a number of properties.
A compacted leaf contains the totals of all files beneath it.
A leaf is only scanned once every dataUsageUpdateDirCycles,
rarer if the bloom filter for the path is clean and no lifecycles
are applied. Skipped leaves have their totals transferred from
the previous cycle.
A clean leaf will be included once every healFolderIncludeProb
for partial heal scans. When selected there is a one in
healObjectSelectProb that any object will be chosen for heal scan.
Compaction happens when either:
- The folder (and subfolders) contains less than dataScannerCompactLeastObject objects.
- The folder itself contains more than dataScannerCompactAtFolders folders.
- The folder only contains objects and no subfolders.
- A bucket root will never be compacted.
Furthermore, if a has more than dataScannerCompactAtChildren recursive
children (uncompacted folders) the tree will be recursively scanned and the
branches with the least number of objects will be compacted until the limit
is reached.
This ensures that any branch will never contain an unreasonable amount
of other branches, and also that small branches with few objects don't
take up unreasonable amounts of space.
Whenever a branch is scanned, it is assumed that it will be un-compacted
before it hits any of the above limits. This will make the branch rebalance
itself when scanned if the distribution of objects has changed.
TLDR; With current values: No bucket will ever have more than 10000
child nodes recursively. No single folder will have more than 2500 child
nodes by itself. All subfolders are compacted if they have less than 500
objects in them recursively.
We accumulate the (non-deletemarker) version count for paths as well,
since we are changing the structure anyway.
