* Filter lock info based on bucket, prefix and time since lock was held
* Implement list and clear locks REST API
* madmin: Add list and clear locks API
* locks: Clear locks matching bucket, prefix, relTime.
* Gather lock information across nodes for both list and clear locks admin REST API.
* docs: Add lock API to management APIs
* Rename GenericArgs to AuthRPCArgs
* Rename GenericReply to AuthRPCReply
* Remove authConfig.loginMethod and add authConfig.ServiceName
* Rename loginServer to AuthRPCServer
* Rename RPCLoginArgs to LoginRPCArgs
* Rename RPCLoginReply to LoginRPCReply
* Version and RequestTime are added to LoginRPCArgs and verified by
server side, not client side.
* Fix data race in lockMaintainence loop.
This patch uses a technique where in a retryable storage
before object layer initialization has a higher delay
and waits for longer period upto 4 times with time unit
of seconds.
And uses another set of configuration after the disks
have been formatted, i.e use a lower retry backoff rate
and retrying only once per 5 millisecond.
Network IO error count is reduced to a lower value i.e 256
before we reject the disk completely. This is done so that
combination of retry logic and total error count roughly
come to around 2.5secs which is when we basically take the
disk offline completely.
NOTE: This patch doesn't fix the issue of what if the disk
is completely dead and comes back again after the initialization.
Such a mutating state requires a change in our startup sequence
which will be done subsequently. This is an interim fix to alleviate
users from these issues.
Implement a storage rpc specific rpc client,
which does not reconnect unnecessarily.
Instead reconnect is handled at a different
layer for storage alone.
Rest of the calls using AuthRPC automatically
reconnect, i.e upon an error equal to `rpc.ErrShutdown`
they dial again and call the requested method again.
Attempt a reconnect also if disk not found.
This is needed since any network operation error
is converted to disk not found but we also need
to make sure if disk is really not available.
Additionally we also need to retry more than
once because the server might be in startup
sequence which would render other servers to
wrongly think that the server is offline.
This is written so that to simplify our handler code
and provide a way to only update metadata instead of
the data when source and destination in CopyObject
request are same.
Fixes#3316
- Add a lockStat type to group counters
- Remove unnecessary helper functions
- Fix stats computation on force unlock
- Removed unnecessary checks and cleaned up comments
This is to utilize an optimized version of
sha256 checksum which @fwessels implemented.
blake2b lacks such optimizations on ARM platform,
this can provide us significant boost in performance.
blake2b on ARM64 as expected would be slower.
```
BenchmarkSize1K-4 30000 44015 ns/op 23.26 MB/s
BenchmarkSize8K-4 5000 335448 ns/op 24.42 MB/s
BenchmarkSize32K-4 1000 1333960 ns/op 24.56 MB/s
BenchmarkSize128K-4 300 5328286 ns/op 24.60 MB/s
```
sha256 on ARM64 is faster by orders of magnitude giving close to
AVX performance of blake2b.
```
BenchmarkHash8Bytes-4 1000000 1446 ns/op 5.53 MB/s
BenchmarkHash1K-4 500000 3229 ns/op 317.12 MB/s
BenchmarkHash8K-4 100000 14430 ns/op 567.69 MB/s
BenchmarkHash1M-4 1000 1640126 ns/op 639.33 MB/s
```
ObjectLayer GetObject() now returns the entire object
if starting offset is 0 and length is negative. This
also allows to simplify handler layer code where
we always had to use GetObjectInfo() before proceeding
to read bucket metadata files examples `policy.json`.
This also reduces one additional call overhead.
success_action_redirect in the sent Form means that the server needs to return 303 in addition to a well specific redirection url, this commit adds this feature
This is important in a distributed setup, where the server hosting the
first disk formats a fresh setup. Sorting ensures that all servers
arrive at the same 'first' server.
Note: This change doesn't protect against different disk arguments
with some disks being same across servers.
Previously, more than one goroutine calls RPCClient.dial(), each
goroutine gets a new rpc.Client but only one such client is stored
into RPCClient object. This leads to leaky connection at the server
side. This is fixed by taking lock at top of dial() and release on
return.
Krishnan Parthasarathi