Previously we had a map of pools for different chunk sizes.
In practice the mapping is not very useful and requires a lock.
Pools of size other that ChunkSize can only happen when we have a huge file (over 10k * ChunkSize).
We need to have a bunch of identically sized huge files.
In such case most likely ChunkSize should be increased.
The mapping and its lock is replaced with a single initialised pool for ChunkSize, in other cases pool is allocated and freed on per file basis.
Rclone can't safely delete files with multiple parents without
PATCHing the parents list. This can be done, but since multiple
parents are going away to be replaced by drive shortcuts we return an
error for now.
See #4013
Before this change we queries /me/drives for a list of the users
drives and asked the user to choose. Sometimes this does not return
the users main drive for reasons unknown.
After this change we query /me/drives first then /me/drive and add
that to the list of drives if it wasn't already there.
In 5470d34740 "backend/s3: use low-level-retries as the number
of SDK retries" we switched over to using the AWS SDK low level
retries instead of rclone's low level retry logic.
This had the unfortunate attempt that retrying listings to correct XML
Syntax errors failed on non S3 backends such as CEPH. The AWS SDK was
also retrying the XML Syntax error request which doesn't make sense.
This change turns off the AWS SDK retries in favour of just using
rclone's retry logic.
If chunk size is more than 250M (262,144,000 bytes) then API throws the following error:
Microsoft.SharePoint.Client.InvalidClientQueryException: The request message is too big. The server does not allow messages larger than 262144000 bytes.
Before this change rclone didn't use sparse files on Windows. This
means that when you downloaded a file with multithread download it
wrote the entire file with zeros first on the first write not at the
start of the file.
This change makes the file be sparse on Windows. Linux/macOS files
were already sparse.
Before this change shared with me items with multiple parents (ie most
of them that aren't in the root) would appear twice in the directory
listings.
This fixes the problem by doing an early exit for shared with me
items.
This bug was introduced here by removing some necessary code detecting
shared with me items at the root with no parents.
4453fa4ba6 "drive: fix --fast-list when using appDataFolder"
This fix reverts that part of the patch.
Fixes#4018
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
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.
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
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/
This removes the unused functions run.writeRemoteRandomBytes() run.writeObjectRandomBytes() run.listPath() Directory.parentRemote() and Persistent.dumpRoot().
