- Implement a new xl.json 2.0.0 format to support,
this moves the entire marshaling logic to POSIX
layer, top layer always consumes a common FileInfo
construct which simplifies the metadata reads.
- Implement list object versions
- Migrate to siphash from crchash for new deployments
for object placements.
Fixes#2111
some clients such as veeam expect the x-amz-meta to
be sent in lower cased form, while this does indeed
defeats the HTTP protocol contract it is harder to
change these applications, while these applications
get fixed appropriately in future.
x-amz-meta is usually sent in lowercased form
by AWS S3 and some applications like veeam
incorrectly end up relying on the case sensitivity
of the HTTP headers.
Bonus fixes
- Fix the iso8601 time format to keep it same as
AWS S3 response
- Increase maxObjectList to 50,000 and use
maxDeleteList as 10,000 whenever multi-object
deletes are needed.
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.
test is failing in Azure gateway as a mapping from
x-amz-storage-class to Azure storage tier is failing
and there is no way to not send storage class in s3cmd.
This PR is to ensure that we call the relevant object
layer APIs for necessary S3 API level functionalities
allowing gateway implementations to return proper
errors as NotImplemented{}
This allows for all our tests in mint to behave
appropriately and can be handled appropriately as
well.
global WORM mode is a complex piece for which
the time has passed, with the advent of S3 compatible
object locking and retention implementation global
WORM is sort of deprecated, this has been mentioned
in our documentation for some time, now the time
has come for this to go.
This commit modifies csv parser, a fork of golang csv
parser to support a custom quote escape character.
The quote escape character is used to escape the quote
character when a csv field contains a quote character
as part of data.
Harshavardhana