We have some Dockerfiles that reference Ubuntu 19.04, which is not an LTS
version and has now appears to have been retired from the Ubuntu repositories.
Switch to 18.04, which is the current long-term support version. This
also requires a switch from OpenJDK 12 to 11.
Also change a usage of 16.04 to 18.04, for consistency.
We have some Dockerfiles that reference Ubuntu 19.04, which is not an LTS
version and has now appears to have been retired from the Ubuntu repositories.
Switch to 18.04, which is the current long-term support version. Also change a
usage of 16.04 to 18.04, for consistency.
This is a backport of #54803 for 7.x.
This pull request cherry picks the squashed commit from #54803 with the additional commits:
6f50c92 which adjusts master code to 7.x
a114549 to mute a failing ILM test (#54818)
48cbca1 and 50186b2 that cleans up and fixes the previous test
aae12bb that adds a missing feature flag (#54861)
6f330e3 that adds missing serialization bits (#54864)
bf72c02 that adjust the version in YAML tests
a51955f that adds some plumbing for the transport client used in integration tests
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Andrei Dan <andrei.dan@elastic.co>
This commit ensures that even for requests that are known to be empty body
we at least attempt to read one bytes from the request body input stream.
This is done to work around the behavior in `sun.net.httpserver.ServerImpl.Dispatcher#handleEvent`
that will close a TCP/HTTP connection that does not have the `eof` flag (see `sun.net.httpserver.LeftOverInputStream#isEOF`)
set on its input stream. As far as I can tell the only way to set this flag is to do a read when there's no more bytes buffered.
This fixes the numerous connection closing issues because the `ServerImpl` stops closing connections that it thinks
weren't fully drained.
Also, I removed a now redundant drain loop in the Azure handler as well as removed the connection closing in the error handler's
drain action (this shouldn't have an effect but makes things more predictable/easier to reason about IMO).
I would suggest merging this and closing related issue after verifying that this fixes things on CI.
The way to locally reproduce the issues we're seeing in tests is to make the retry timings more aggressive in e.g. the azure tests
and move them to single digit values. This makes the retries happen quickly enough that they run into the async connecting closing
of allegedly non-eof connections by `ServerImpl` and produces the exact kinds of failures we're seeing currently.
Relates #49401, #49429
This commit fixes the server side logic of "List Objects" operations
of Azure and S3 fixtures. Until today, the fixtures were returning a "
flat" view of stored objects and were not correctly handling the
delimiter parameter. This causes some objects listing to be wrongly
interpreted by the snapshot deletion logic in Elasticsearch which
relies on the ability to list child containers of BlobContainer (#42653)
to correctly delete stale indices.
As a consequence, the blobs were not correctly deleted from the
emulated storage service and stayed in heap until they got garbage
collected, causing CI failures like #48978.
This commit fixes the server side logic of Azure and S3 fixture when
listing objects so that it now return correct common blob prefixes as
expected by the snapshot deletion process. It also adds an after-test
check to ensure that tests leave the repository empty (besides the
root index files).
Closes#48978
Similarly to what has been done for Azure (#48636) and GCS (#48762),
this committ removes the existing Ant fixture that emulates a S3 storage
service in favor of multiple docker-compose based fixtures.
The goals here are multiple: be able to reuse a s3-fixture outside of the
repository-s3 plugin; allow parallel execution of integration tests; removes
the existing AmazonS3Fixture that has evolved in a weird beast in
dedicated, more maintainable fixtures.
The server side logic that emulates S3 mostly comes from the latest
HttpHandler made for S3 blob store repository tests, with additional
features extracted from the (now removed) AmazonS3Fixture:
authentication checks, session token checks and improved response
errors. Chunked upload request support for S3 object has been added
too.
The server side logic of all tests now reside in a single S3HttpHandler class.
Whereas AmazonS3Fixture contained logic for basic tests, session token
tests, EC2 tests or ECS tests, the S3 fixtures are now dedicated to each
kind of test. Fixtures are inheriting from each other, making things easier
to maintain.