data shards were wrong due to a healing bug
reported in #13803 mainly with unaligned object
sizes.
This PR is an attempt to automatically avoid
these shards, with available information about
the `xl.meta` and actually disk mtime.
- deleting policies was deleting all LDAP
user mapping, this was a regression introduced
in #13567
- deleting of policies is properly sent across
all sites.
- remove unexpected errors instead embed the real
errors as part of the 500 error response.
dataDir loosely based on maxima is incorrect and does not
work in all situations such as disks in the following order
- xl.json migration to xl.meta there may be partial xl.json's
leftover if some disks are not yet connected when the disk
is yet to come up, since xl.json mtime and xl.meta is
same the dataDir maxima doesn't work properly leading to
quorum issues.
- its also possible that XLV1 might be true among the disks
available, make sure to keep FileInfo based on common quorum
and skip unexpected disks with the older data format.
Also, this PR tests upgrade from older to a newer release if the
data is readable and matches the checksum.
NOTE: this is just initial work we can build on top of this to do further tests.
Existing:
```go
type xlMetaV2 struct {
Versions []xlMetaV2Version `json:"Versions" msg:"Versions"`
}
```
Serialized as regular MessagePack.
```go
//msgp:tuple xlMetaV2VersionHeader
type xlMetaV2VersionHeader struct {
VersionID [16]byte
ModTime int64
Type VersionType
Flags xlFlags
}
```
Serialize as streaming MessagePack, format:
```
int(headerVersion)
int(xlmetaVersion)
int(nVersions)
for each version {
binary blob, xlMetaV2VersionHeader, serialized
binary blob, xlMetaV2Version, serialized.
}
```
xlMetaV2VersionHeader is <= 30 bytes serialized. Deserialized struct
can easily be reused and does not contain pointers, so efficient as a
slice (single allocation)
This allows quickly parsing everything as slices of bytes (no copy).
Versions are always *saved* sorted by modTime, newest *first*.
No more need to sort on load.
* Allows checking if a version exists.
* Allows reading single version without unmarshal all.
* Allows reading latest version of type without unmarshal all.
* Allows reading latest version without unmarshal of all.
* Allows checking if the latest is deleteMarker by reading first entry.
* Allows adding/updating/deleting a version with only header deserialization.
* Reduces allocations on conversion to FileInfo(s).
- 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>
Previous PR #12351 added functions to read from the reader
stream to reduce memory usage, use the same technique in
few other places where we are not interested in reading the
data part.
upon errors to acquire lock context would still leak,
since the cancel would never be called. since the lock
is never acquired - proactively clear it before returning.
- write in o_dsync instead of o_direct for smaller
objects to avoid unaligned double Write() situations
that may arise for smaller objects < 128KiB
- avoid fallocate() as its not useful since we do not
use Append() semantics anymore, fallocate is not useful
for streaming I/O we can save on a syscall
- createFile() doesn't need to validate `bucket` name
with a Lstat() call since createFile() is only used
to write at `minioTmpBucket`
- use io.Copy() when writing unAligned writes to allow
usage of ReadFrom() from *os.File providing zero
buffer writes().
root-disk implemented currently had issues where root
disk partitions getting modified might race and provide
incorrect results, to avoid this lets rely again back on
DeviceID and match it instead.
In-case of containers `/data` is one such extra entity that
needs to be verified for root disk, due to how 'overlay'
filesystem works and the 'overlay' presents a completely
different 'device' id - using `/data` as another entity
for fallback helps because our containers describe 'VOLUME'
parameter that allows containers to automatically have a
virtual `/data` that points to the container root path this
can either be at `/` or `/var/lib/` (on different partition)
The code inside the `hotfix` taget is overriding the values set at the
beginning of the Makefile affecting other make targets as well.
For example, running `TAG=mytag make docker` also ends up tagging
the docker image as a hotfix instead of `mytag`.
Using the `eval` function inside the `hotfix` target fixes this.
During expansion we need to validate if
- new deployment is expanded with newer constraints
- existing deployment is expanded with older constraints
- multiple server pools rejected if they have different
deploymentID and distribution algo
This refactor is done for few reasons below
- to avoid deadlocks in scenarios when number
of nodes are smaller < actual erasure stripe
count where in N participating local lockers
can lead to deadlocks across systems.
- avoids expiry routines to run 1000 of separate
network operations and routes per disk where
as each of them are still accessing one single
local entity.
- it is ideal to have since globalLockServer
per instance.
- In a 32node deployment however, each server
group is still concentrated towards the
same set of lockers that partipicate during
the write/read phase, unlike previous minio/dsync
implementation - this potentially avoids send
32 requests instead we will still send at max
requests of unique nodes participating in a
write/read phase.
- reduces overall chattiness on smaller setups.
hotfix target will fetch the release tag prior to the latest commit and create a binary
with the same release tag plus '.hotfix' suffix
e.g. RELEASE.2020-12-03T05-49-24Z.hotfix
`mc admin info` on busy setups will not move HDD
heads unnecessarily for repeated calls, provides
a better responsiveness for the call overall.
Bonus change allow listTolerancePerSet be N-1
for good entries, to avoid skipping entries
for some reason one of the disk went offline.
Always check if the auto-generated code is still compatible with the
existing written code to avoid a possible forgetting or sometimes a non
intentional change.
enable linter using golangci-lint across
codebase to run a bunch of linters together,
we shall enable new linters as we fix more
things the codebase.
This PR fixes the first stage of this
cleanup.
Use reference format to initialize lockers
during startup, also handle `nil` for NetLocker
in dsync and remove *errorLocker* implementation
Add further tuning parameters such as
- DialTimeout is now 15 seconds from 30 seconds
- KeepAliveTimeout is not 20 seconds, 5 seconds
more than default 15 seconds
- ResponseHeaderTimeout to 10 seconds
- ExpectContinueTimeout is reduced to 3 seconds
- DualStack is enabled by default remove setting
it to `true`
- Reduce IdleConnTimeout to 30 seconds from
1 minute to avoid idleConn build up
Fixes#8773
There are multiple possibilities for running MinIO within
a container e.g. configurable address, non-root user etc.
This makes it difficult to identify actual IP / Port to
use to check healthcheck status from within a container.
It is simpler to use external healthcheck mechanisms
like healthcheck command in docker-compose to check
for MinIO health status. This is similar to how checks
work in Kubernetes as well.
This PR removes the healthcheck script used inside
Docker container and ad documentation on how to
use docker-compose based healthcheck mechanism.
There is no reliable way to handle fallbacks for
MinIO deployments, due to various command line
options and multiple locations which require
access inside container.
Parsing command line options is tricky to figure
out which is the backend disk etc, we did try
to fix this in implementations of check-user.go
but it wasn't complete and introduced more bugs.
This PR simplifies the entire approach to rather
than running Docker container as non-root by default
always, it allows users to opt-in. Such that they
are aware that that is what they are planning to do.
In-fact there are other ways docker containers can
be run as regular users, without modifying our
internal behavior and adding more complexities.
