Do not log errors on oneway streams when sending ping fails. Instead, cancel the stream.
This also makes sure pings are sent when blocked on sending responses.
```
==================
WARNING: DATA RACE
Read at 0x0000082be990 by goroutine 205:
github.com/minio/minio/cmd.setCommonHeaders()
Previous write at 0x0000082be990 by main goroutine:
github.com/minio/minio/cmd.lookupConfigs()
```
add deadlines that can be dynamically changed via
the drive max timeout values.
Bonus: optimize "file not found" case and hung drives/network - circuit break the check and return right
away instead of waiting.
Do not log errors on oneway streams when sending ping fails. Instead cancel the stream.
This also makes sure pings are sent when blocked on sending responses.
I will do a separate PR that includes this and adds pings to two-way streams as well as tests for pings.
Replace the `io.Pipe` from streamingBitrotWriter -> CreateFile with a fixed size ring buffer.
This will add an output buffer for encoded shards to be written to disk - potentially via RPC.
This will remove blocking when `(*streamingBitrotWriter).Write` is called, and it writes hashes and data.
With current settings, the write looks like this:
```
Outbound
┌───────────────────┐ ┌────────────────┐ ┌───────────────┐ ┌────────────────┐
│ │ Parr. │ │ (http body) │ │ │ │
│ Bitrot Hash │ Write │ Pipe │ Read │ HTTP buffer │ Write (syscall) │ TCP Buffer │
│ Erasure Shard │ ──────────► │ (unbuffered) │ ────────────► │ (64K Max) │ ───────────────────► │ (4MB) │
│ │ │ │ │ (io.Copy) │ │ │
└───────────────────┘ └────────────────┘ └───────────────┘ └────────────────┘
```
We write a Hash (32 bytes). Since the pipe is unbuffered, it will block until the 32 bytes have
been delivered to the TCP buffer, and the next Read hits the Pipe.
Then we write the shard data. This will typically be bigger than 64KB, so it will block until two blocks
have been read from the pipe.
When we insert a ring buffer:
```
Outbound
┌───────────────────┐ ┌────────────────┐ ┌───────────────┐ ┌────────────────┐
│ │ │ │ (http body) │ │ │ │
│ Bitrot Hash │ Write │ Ring Buffer │ Read │ HTTP buffer │ Write (syscall) │ TCP Buffer │
│ Erasure Shard │ ──────────► │ (2MB) │ ────────────► │ (64K Max) │ ───────────────────► │ (4MB) │
│ │ │ │ │ (io.Copy) │ │ │
└───────────────────┘ └────────────────┘ └───────────────┘ └────────────────┘
```
The hash+shard will fit within the ring buffer, so writes will not block - but will complete after a
memcopy. Reads can fill the 64KB buffer if there is data for it.
If the network is congested, the ring buffer will become filled, and all syscalls will be on full buffers.
Only when the ring buffer is filled will erasure coding start blocking.
Since there is always "space" to write output data, we remove the parallel writing since we are
always writing to memory now, and the goroutine synchronization overhead probably not worth taking.
If the output were blocked in the existing, we would still wait for it to unblock in parallel write, so it would
make no difference there - except now the ring buffer smoothes out the load.
There are some micro-optimizations we could look at later. The biggest is that, in most cases,
we could encode directly to the ring buffer - if we are not at a boundary. Also, "force filling" the
Read requests (i.e., blocking until a full read can be completed) could be investigated and maybe
allow concurrent memory on read and write.
canceled callers might linger around longer,
can potentially overwhelm the system. Instead
provider a caller context and canceled callers
don't hold on to them.
Bonus: we have no reason to cache errors, we should
never cache errors otherwise we can potentially have
quorum errors creeping in unexpectedly. We should
let the cache when invalidating hit the actual resources
instead.
LastPong is saved as nanoseconds after a connection or reconnection but
saved as seconds when receiving a pong message. The code deciding if
a pong is too old can be skewed since it assumes LastPong is only in
seconds.
Accept multipart uploads where the combined checksum provides the expected part count.
It seems this was added by AWS to make the API more consistent, even if the
data is entirely superfluous on multiple levels.
Improves AWS S3 compatibility.
This commit adds support for MinKMS. Now, there are three KMS
implementations in `internal/kms`: Builtin, MinIO KES and MinIO KMS.
Adding another KMS integration required some cleanup. In particular:
- Various KMS APIs that haven't been and are not used have been
removed. A lot of the code was broken anyway.
- Metrics are now monitored by the `kms.KMS` itself. For basic
metrics this is simpler than collecting metrics for external
servers. In particular, each KES server returns its own metrics
and no cluster-level view.
- The builtin KMS now uses the same en/decryption implemented by
MinKMS and KES. It still supports decryption of the previous
ciphertext format. It's backwards compatible.
- Data encryption keys now include a master key version since MinKMS
supports multiple versions (~4 billion in total and 10000 concurrent)
per key name.
Signed-off-by: Andreas Auernhammer <github@aead.dev>
This is to support deployments migrating from a multi-pooled
wider stripe to lower stripe. MINIO_STORAGE_CLASS_STANDARD
is still expected to be same for all pools. So you can satisfy
adding custom drive count based pools by adjusting the storage
class value.
```
version: v2
address: ':9000'
rootUser: 'minioadmin'
rootPassword: 'minioadmin'
console-address: ':9001'
pools: # Specify the nodes and drives with pools
-
args:
- 'node{11...14}.example.net/data{1...4}'
-
args:
- 'node{15...18}.example.net/data{1...4}'
-
args:
- 'node{19...22}.example.net/data{1...4}'
-
args:
- 'node{23...34}.example.net/data{1...10}'
set-drive-count: 6
```
ConsoleUI like applications rely on combination of
ListServiceAccounts() and InfoServiceAccount() to populate
UI elements, however individually these calls can be slow
causing the entire UI to load sluggishly.
i.e., this rule element doesn't apply to DEL markers.
This is a breaking change to how ExpiredObejctDeleteAllVersions
functions today. This is necessary to avoid the following highly probable
footgun scenario in the future.
Scenario:
The user uses tags-based filtering to select an object's time to live(TTL).
The application sometimes deletes objects, too, making its latest
version a DEL marker. The previous implementation skipped tag-based filters
if the newest version was DEL marker, voiding the tag-based TTL. The user is
surprised to find objects that have expired sooner than expected.
* Add DelMarkerExpiration action
This ILM action removes all versions of an object if its
the latest version is a DEL marker.
```xml
<DelMarkerObjectExpiration>
<Days> 10 </Days>
</DelMarkerObjectExpiration>
```
1. Applies only to objects whose,
• The latest version is a DEL marker.
• satisfies the number of days criteria
2. Deletes all versions of this object
3. Associated rule can't have tag-based filtering
Includes,
- New bucket event type for deletion due to DelMarkerExpiration
- handle errFileCorrupt properly
- micro-optimization of sending done() response quicker
to close the goroutine.
- fix logger.Event() usage in a couple of places
- handle the rest of the client to return a different error other than
lastErr() when the client is closed.
At server startup, LDAP configuration is validated against the LDAP
server. If the LDAP server is down at that point, we need to cleanly
disable LDAP configuration. Previously, LDAP would remain configured but
error out in strange ways because initialization did not complete
without errors.
When importing access keys (i.e. service accounts) for LDAP accounts,
we are requiring groups to exist under one of the configured group base
DNs. This is not correct. This change fixes this by only checking for
existence and storing the normalized form of the group DN - we do not
return an error if the group is not under a base DN.
Test is updated to illustrate an import failure that would happen
without this change.
instead upon any error in renameData(), we still
preserve the existing dataDir in some form for
recoverability in strange situations such as out
of disk space type errors.
Bonus: avoid running list and heal() instead allow
versions disparity to return the actual versions,
uuid to heal. Currently limit this to 100 versions
and lesser disparate objects.
an undo now reverts back the xl.meta from xl.meta.bkp
during overwrites on such flaky setups.
Bonus: Save N depth syscalls via skipping the parents
upon overwrites and versioned updates.
Flaky setup examples are stretch clusters with regular
packet drops etc, we need to add some defensive code
around to avoid dangling objects.
This is a change to IAM export/import functionality. For LDAP enabled
setups, it performs additional validations:
- for policy mappings on LDAP users and groups, it ensures that the
corresponding user or group DN exists and if so uses a normalized form
of these DNs for storage
- for access keys (service accounts), it updates (i.e. validates
existence and normalizes) the internally stored parent user DN and group
DNs.
This allows for a migration path for setups in which LDAP mappings have
been stored in previous versions of the server, where the name of the
mapping file stored on drives is not in a normalized form.
An administrator needs to execute:
`mc admin iam export ALIAS`
followed by
`mc admin iam import ALIAS /path/to/export/file`
The validations are more strict and returns errors when multiple
mappings are found for the same user/group DN. This is to ensure the
mappings stored by the server are unambiguous and to reduce the
potential for confusion.
Bonus **bug fix**: IAM export of access keys (service accounts) did not
export key name, description and expiration. This is fixed in this
change too.
we have had numerous reports on some config
values not having default values, causing
features misbehaving and not having default
values set properly.
This PR tries to address all these concerns
once and for all.
Each new sub-system that gets added
- must check for invalid keys
- must have default values set
- must not "return err" when being saved into
a global state() instead collate as part of
other subsystem errors allow other sub-systems
to independently initialize.
This fixes a regression from #19358 which prevents policy mappings
created in the latest release from being displayed in policy entity
listing APIs.
This is due to the possibility that the base DNs in the LDAP config are
not in a normalized form and #19358 introduced normalized of mapping
keys (user DNs and group DNs). When listing, we check if the policy
mappings are on entities that parse as valid DNs that are descendants of
the base DNs in the config.
Test added that demonstrates a failure without this fix.
Create new code paths for multiple subsystems in the code. This will
make maintaing this easier later.
Also introduce bugLogIf() for errors that should not happen in the first
place.
Use `ODirectPoolSmall` buffers for inline data in PutObject.
Add a separate call for inline data that will fetch a buffer for the inline data before unmarshal.
If site replication enabled across sites, replicate the SSE-C
objects as well. These objects could be read from target sites
using the same client encryption keys.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
Instead of relying on user input values, we use the DN value returned by
the LDAP server.
This handles cases like when a mapping is set on a DN value
`uid=svc.algorithm,OU=swengg,DC=min,DC=io` with a user input value (with
unicode variation) of `uid=svc﹒algorithm,OU=swengg,DC=min,DC=io`. The
LDAP server on lookup of this DN returns the normalized value where the
unicode dot character `SMALL FULL STOP` (in the user input), gets
replaced with regular full stop.
