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.
- 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
```
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
```
This method is used to add expected expiration and transition time
for an object in GET/HEAD Object response headers.
Also fixed bugs in lifecycle.PredictTransitionTime and
getLifecycleTransitionTier in handling current and
non-current versions.
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"
```
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`
https://github.com/minio/console takes over the functionality for the
future object browser development
Signed-off-by: Harshavardhana <harsha@minio.io>
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.
```
mc admin config set alias/ storage_class standard=EC:3
```
should only succeed if parity ratio is valid for all
server pools, if not we should fail proactively.
This PR also needs to bring other changes now that
we need to cater for variadic drive counts per pool.
Bonus fixes also various bugs reproduced with
- GetObjectWithPartNumber()
- CopyObjectPartWithOffsets()
- CopyObjectWithMetadata()
- PutObjectPart,PutObject with truncated streams
- select lockers which are non-local and online to have
affinity towards remote servers for lock contention
- optimize lock retry interval to avoid sending too many
messages during lock contention, reduces average CPU
usage as well
- if bucket is not set, when deleteObject fails make sure
setPutObjHeaders() honors lifecycle only if bucket name
is set.
- fix top locks to list out always the oldest lockers always,
avoid getting bogged down into map's unordered nature.
This is to ensure that Go contexts work properly, after some
interesting experiments I found that Go net/http doesn't
cancel the context when Body is non-zero and hasn't been
read till EOF.
The following gist explains this, this can lead to pile up
of go-routines on the server which will never be canceled
and will die at a really later point in time, which can
simply overwhelm the server.
https://gist.github.com/harshavardhana/c51dcfd055780eaeb71db54f9c589150
To avoid this refactor the locking such that we take locks after we
have started reading from the body and only take locks when needed.
Also, remove contextReader as it's not useful, doesn't work as expected
context is not canceled until the body reaches EOF so there is no point
in wrapping it with context and putting a `select {` on it which
can unnecessarily increase the CPU overhead.
We will still use the context to cancel the lockers etc.
Additional simplification in the locker code to avoid timers
as re-using them is a complicated ordeal avoid them in
the hot path, since locking is very common this may avoid
lots of allocations.
- Implement a new xl.json 2.0.0 format to support,
this moves the entire marshaling logic to POSIX
layer, top layer always consumes a common FileInfo
construct which simplifies the metadata reads.
- Implement list object versions
- Migrate to siphash from crchash for new deployments
for object placements.
Fixes#2111
This allows for canonicalization of the strings
throughout our code and provides a common space
for all these constants to reside.
This list is rather non-exhaustive but captures
all the headers used in AWS S3 API operations
Most hadoop distributions hortonworks, cloudera all
depend on aws-sdk-java 1.7.x to 1.10.x - the releases
which have bugs related case sensitive check for
ETag header. Go changes the case of the headers set
to be canonical but only preserves them when set
through a direct map.
This fixes most compatibility issues we have had
in the past supporting older hadoop distributions.
Copying an encrypted SSEC object when this latter is uploaded using
multipart mechanism was failing because ETag in case of encrypted
multipart upload is not encrypted.
This PR fixes the behavior.
CopyObject precondition checks into GetObjectReader
in order to perform SSE-C pre-condition checks using the
last 32 bytes of encrypted ETag rather than the decrypted
ETag
This also necessitates moving precondition checks for
gateways to gateway layer rather than object handler check
Different gateway implementations due to different backend
API errors, might return different unsupported errors at
our handler layer. Current code posed a problem for us because
this information was lost and we would convert it to InternalError
in this situation all S3 clients end up retrying the request.
To avoid this unexpected situation implement a way to support
this cleanly such that the underlying information is not lost
which is returned by gateway.
This PR adds disk based edge caching support for minio server.
Cache settings can be configured in config.json to take list of disk drives,
cache expiry in days and file patterns to exclude from cache or via environment
variables MINIO_CACHE_DRIVES, MINIO_CACHE_EXCLUDE and MINIO_CACHE_EXPIRY
Design assumes that Atime support is enabled and the list of cache drives is
fixed.
- Objects are cached on both GET and PUT/POST operations.
- Expiry is used as hint to evict older entries from cache, or if 80% of cache
capacity is filled.
- When object storage backend is down, GET, LIST and HEAD operations fetch
object seamlessly from cache.
Current Limitations
- Bucket policies are not cached, so anonymous operations are not supported in
offline mode.
- Objects are distributed using deterministic hashing among list of cache
drives specified.If one or more drives go offline, or cache drive
configuration is altered - performance could degrade to linear lookup.
Fixes#4026
Krishnan Parthasarathi
Klaus Post
Poorna
Harshavardhana
Anis Eleuch
Shubhendu
kannappanr