This adds a bit of missed locking around the uploaded info to fix the
concurrent map write.
All the other accesses have locking - this one must have got missed.
pureftpd has a bug where it sends messages like this
```
150-Accepted data connection\r\n
Response code: File status okay; about to open data connection (150)
Response arg: Accepted data connection
150 32768.0 kbytes to download\r\n
150 0.014 seconds (measured here), 1665.27 Mbytes per second\r\n
```
The last `150` is treated as a new response - the previous `150` should have been `150-`.
This means that rclone sees the `150 0.014 seconds (measured here),
1665.27 Mbytes per second` as a reply to the next message and reports
it as an error.
This fix ignores that specific message when it is received in the
`Close` method. It dumps the FTP connection after as it is out of
sync.
See: #3984Fixes#3445
--vfs-read-wait duration Time to wait for in-sequence read before seeking. (default 5ms)
--vfs-write-wait duration Time to wait for in-sequence write before giving error. (default 1s)
See: https://forum.rclone.org/t/constantly-high-iowait-add-log/14156
Before this change if rclone failed to close a file download for some
reason it would leak a concurrency token. When all the tokens were
leaked then rclone would lock up.
This fix returns the concurrency token regardless of the error status.
Before this change if rclone failed to upload a file for some reason
it would leak a concurrency token. When all the tokens were leaked
then rclone would lock up.
The fix returns the concurrency token regardless of the error state.
Before this change if rclone failed to make an FTP connection for some
reason it would leak a concurrency token. When all the tokens were
leaked then rclone would lock up.
The fix returns the concurrency token if creating the FTP connection
returns an error.
In bde0334bd8 "operations: fix setting the timestamp on Windows
for multithread copy" the test for multithread copy failed to take
into account the modify window of the remote under test.
Basically, solving #3541 with a different approach - bringing in
the upstream upnpav module, and changing ChildCount from int to a
*int to avoid childCount="0" in the XML output when that value is
simply unknown.
Current approach is leading to some recursion issues and according
to the DLNA spec it shouldn't be necessary, anyway.
Before this fix we attempted to set the modification time on the file
when it was open. This works fine on Linux but not on Windows. The
test was also incorrect testing the source file rather than the
destination file.
This closes the file before setting the modification time and fixes
the tests.
Fixes#3994
Amazon S3 is built to handle different kinds of workloads.
In rare cases where S3 is not able to scale for whatever reason users
will face status 500 errors.
Main mechanism for handling these errors are retries.
Amount of needed retries varies for each different use case.
This change is making retries for s3 backend configurable by using
--low-level-retries option.
Currently each multipart upload allocated his own buffers, which after
file upload was garbaged. Next files couldn't leverage already allocated
memory which resulted in inefficent memory management. This change
introduces backend memory pool keeping memory chunks which can be
used during object operations.
Fixes#3967
It appends "--" to the rclone authorize command line before client_id,
in case that the client_id or client_secret has a prefix of "-"
(OneDrive's does), which affects the argument parsing.
The error code 500 Internal Error indicates that Amazon S3 is unable to handle the request at that time. The error code 503 Slow Down typically indicates that the requests to the S3 bucket are very high, exceeding the request rates described in Request Rate and Performance Guidelines.
Because Amazon S3 is a distributed service, a very small percentage of 5xx errors are expected during normal use of the service. All requests that return 5xx errors from Amazon S3 can and should be retried, so we recommend that applications making requests to Amazon S3 have a fault-tolerance mechanism to recover from these errors.
https://aws.amazon.com/premiumsupport/knowledge-center/http-5xx-errors-s3/
