This solves half of the problem in #46813 by moving the S3
tests to using the shared minio fixture so we at least have
some non-3rd-party, constantly running coverage on these tests.
Follow up to #50550. Cache empty nodes lists (`fetchDynamicNodes` will return an empty list in case of failure)
now that the plugin properly retries requests to AWS EC2 APIs.
Use the default retry condition instead of never retrying in the discovery plugin causing hot retries upstream and add a test that verifies retrying works.
Closes#50462
Avoid backwards incompatible changes for 8.x and 7.6 by removing type
restriction on compile and Factory. Factories may optionally implement
ScriptFactory. If so, then they can indicate determinism and thus
cacheability.
**Backport**
Relates: #49466
When a third party test failed, it potentially left some snapshots
in the repository. In case of tests running against an external
service like Azure, the remaining snapshots can fail the future
test executions are they are not supposed to exist.
Similarly to what has been done for S3 and GCS, this commit
cleans up remaining snapshots before the test execution.
Closes#50304
Unfortunately bulk delete exceptions don't show the individual delete
errors when a bulk delete fails when you log them outright so I added this work-around
to get the individual details to get useful logging.
* Remove BlobContainer Tests against Mocks
Removing all these weird mocks as asked for by #30424.
All these tests are now part of real repository ITs and otherwise left unchanged if they had
independent tests that didn't call the `createBlobStore` method previously.
The HDFS tests also get added coverage as a side-effect because they did not have an implementation
of the abstract repository ITs.
Closes#30424
* Remove Unused Single Delete in BlobStoreRepository
There are no more production uses of the non-bulk delete or the delete that throws
on missing so this commit removes both these methods.
Only the bulk delete logic remains. Where the bulk delete was derived from single deletes,
the single delete code was inlined into the bulk delete method.
Where single delete was used in tests it was replaced by bulk deleting.
Batch deletes get a response for every delete request, not just those that actually hit an existing blob.
The fact that we only responded for existing blobs leads to a degenerate response that throws a parse exception if a batch delete only contains non-existant blobs.
Today settings can declare dependencies on another setting. This
declaration is implemented so that if the declared setting is not set
when the declaring setting is, settings validation fails. Yet, in some
cases we want not only that the setting is set, but that it also has a
specific value. For example, with the monitoring exporter settings, if
xpack.monitoring.exporters.my_exporter.host is set, we not only want
that xpack.monitoring.exporters.my_exporter.type is set, but that it is
also set to local. This commit extends the settings infrastructure so
that this declaration is possible. The use of this in the monitoring
exporter settings will be implemented in a follow-up.
In order to cache script results in the query shard cache, we need to
check if scripts are deterministic. This change adds a default method
to the script factories, `isResultDeterministic() -> false` which is
used by the `QueryShardContext`.
Script results were never cached and that does not change here. Future
changes will implement this method based on whether the results of the
scripts are deterministic or not and therefore cacheable.
Refs: #49466
**Backport**
Our docs specifically mention that CBOR is supported when ingesting attachments. However this is not tested anywhere.
This adds a test, that uses specifically CBOR format in its IndexRequest and another one that behaves like CBOR in the ingest attachment unit tests.
Adds `GET /_script_language` to support Kibana dynamic scripting
language selection.
Response contains whether `inline` and/or `stored` scripts are
enabled as determined by the `script.allowed_types` settings.
For each scripting language registered, such as `painless`,
`expression`, `mustache` or custom, available contexts for the language
are included as determined by the `script.allowed_contexts` setting.
Response format:
```
{
"types_allowed": [
"inline",
"stored"
],
"language_contexts": [
{
"language": "expression",
"contexts": [
"aggregation_selector",
"aggs"
...
]
},
{
"language": "painless",
"contexts": [
"aggregation_selector",
"aggs",
"aggs_combine",
...
]
}
...
]
}
```
Fixes: #49463
**Backport**
* Copying the request is not necessary here. We can simply release it once the response has been generated and a lot of `Unpooled` allocations that way
* Relates #32228
* I think the issue that preventet that PR that PR from being merged was solved by #39634 that moved the bulk index marker search to ByteBuf bulk access so the composite buffer shouldn't require many additional bounds checks (I'd argue the bounds checks we add, we save when copying the composite buffer)
* I couldn't neccessarily reproduce much of a speedup from this change, but I could reproduce a very measureable reduction in GC time with e.g. Rally's PMC (4g heap node and bulk requests of size 5k saw a reduction in young GC time by ~10% for me)
* Make BlobStoreRepository Aware of ClusterState (#49639)
This is a preliminary to #49060.
It does not introduce any substantial behavior change to how the blob store repository
operates. What it does is to add all the infrastructure changes around passing the cluster service to the blob store, associated test changes and a best effort approach to tracking the latest repository generation on all nodes from cluster state updates. This brings a slight improvement to the consistency
by which non-master nodes (or master directly after a failover) will be able to determine the latest repository generation. It does not however do any tricky checks for the situation after a repository operation
(create, delete or cleanup) that could theoretically be used to get even greater accuracy to keep this change simple.
This change does not in any way alter the behavior of the blobstore repository other than adding a better "guess" for the value of the latest repo generation and is mainly intended to isolate the actual logical change to how the
repository operates in #49060
This change adds a dynamic cluster setting named `indices.id_field_data.enabled`.
When set to `false` any attempt to load the fielddata for the `_id` field will fail
with an exception. The default value in this change is set to `false` in order to prevent
fielddata usage on this field for future versions but it will be set to `true` when backporting
to 7x. When the setting is set to true (manually or by default in 7x) the loading will also issue
a deprecation warning since we want to disallow fielddata entirely when https://github.com/elastic/elasticsearch/issues/26472
is implemented.
Closes#43599
All the implementations of `EsBlobStoreTestCase` use the exact same
bootstrap code that is also used by their implementation of
`EsBlobStoreContainerTestCase`.
This means all tests might as well live under `EsBlobStoreContainerTestCase`
saving a lot of code duplication. Also, there was no HDFS implementation for
`EsBlobStoreTestCase` which is now automatically resolved by moving the tests over
since there is a HDFS implementation for the container tests.
The annotated text mapper has a field type that currently extends StringFieldType,
which means that all the positional-related query factory methods need to be copied
over from TextFieldType. In addition, MappedFieldType.intervals() hasn't been
overridden, so you can't use intervals queries with annotated text - a major drawback,
since one of the purposes of annotated text is to be able to run positional queries against
annotations.
This commit changes the annotated text field type to extend TextFieldType instead,
adding tests to ensure that position queries work correctly.
Closes#49289
Same as #49518 pretty much but for GCS.
Fixing a few more spots where input stream can get closed
without being fully drained and adding assertions to make sure
it's always drained.
Moved the no-close stream wrapper to production code utilities since
there's a number of spots in production code where it's also useful
(will reuse it there in a follow-up).
Fixing a few small issues found in this code:
1. We weren't reading the request headers but the response headers when checking for blob existence in the mocked single upload path
2. Error code can never be `null` removed the dead code that resulted
3. In the logging wrapper we weren't checking for `Throwable` so any failing assertions in the http mock would not show up since they
run on a thread managed by the mock http server
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.
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
Similarly to what has be done for Azure in #48636, this commit
adds a new :test:fixtures:gcs-fixture project which provides two
docker-compose based fixtures that emulate a Google Cloud
Storage service.
Some code has been extracted from existing tests and placed
into this new project so that it can be easily reused in other
projects.
This commit introduces a consistent, and type-safe manner for handling
global build parameters through out our build logic. Primarily this
replaces the existing usages of extra properties with static accessors.
It also introduces and explicit API for initialization and mutation of
any such parameters, as well as better error handling for uninitialized
or eager access of parameter values.
Closes#42042
This commit adds a new :test:fixtures:azure-fixture project which
provides a docker-compose based container that runs a AzureHttpFixture
Java class that emulates an Azure Storage service.
The logic to emulate the service is extracted from existing tests and
placed in AzureHttpHandler into the new project so that it can be
easily reused. The :plugins:repository-azure project is an example
of such utilization.
The AzureHttpFixture fixture is just a wrapper around AzureHttpHandler
and is now executed within the docker container.
The :plugins:repository-azure:qa:microsoft-azure project uses the new
test fixture and the existing AzureStorageFixture has been removed.
In repository integration tests, we drain the HTTP request body before
returning a response. Before this change this operation was done using
Streams.readFully() which uses a 8kb buffer to read the input stream, it
now uses a 1kb for the same operation. This should reduce the allocations
made during the tests and speed them up a bit on CI.
Co-authored-by: Armin Braun <me@obrown.io>
In #47176 we changed the internal HTTP server that emulates
the Azure Storage service so that it includes a response body
for injected errors. This fixed most of the issues reported in
#47120 but sadly I missed to map one error to its Azure
equivalent, and it triggered some CI failures today.
Closes#47120
BytesReference is currently an abstract class which is extended by
various implementations. This makes it very difficult to use the
delegation pattern. The implication of this is that our releasable
BytesReference is a PagedBytesReference type and cannot be used as a
generic releasable bytes reference that delegates to any reference type.
This commit makes BytesReference an interface and introduces an
AbstractBytesReference for common functionality.
This commit changes the test so that each node use a specific
service account and private key. It also changes how unique
request ids are generated for refresh token request using the
token itself, so that error count will be specific per node (each
node should execute a single refresh token request as tokens
are valid for 1 hour).
We were incorrectly handling `IOExceptions` thrown by
the `InputStream` side of the upload operation, resulting
in a `ClassCastException` as we expected to never get
`IOException` from the Azure SDK code but we do in practice.
This PR also sets an assertion on `markSupported` for the
streams used by the SDK as adding the test for this scenario
revealed that the SDK client would retry uploads for
non-mark-supporting streams on `IOException` in the `InputStream`.
Today built-in highlighter and plugins have access to the SearchContext through the
highlighter context. However most of the information exposed in the SearchContext are not needed and a QueryShardContext
would be enough to perform highlighting. This change replaces the SearchContext by the informations that are absolutely
required by highlighter: a QueryShardContext and the SearchContextHighlight. This change allows to reduce the exposure of the
complex SearchContext and remove the needs to clone it in the percolator sub phase.
Relates #47198
Relates #46523
Especially in the snapshot code there's a lot
of logic chaining `ActionRunnables` in tricky
ways now and the code is getting hard to follow.
This change introduces two convinience methods that
make it clear that a wrapped listener is invoked with
certainty in some trickier spots and shortens the code a bit.
While function scores using scripts do allow explanations, they are only
creatable with an expert plugin. This commit improves the situation for
the newer script score query by adding the ability to set the
explanation from the script itself.
To set the explanation, a user would check for `explanation != null` to
indicate an explanation is needed, and then call
`explanation.set("some description")`.
* Remove eclipse conditionals
We used to have some meta projects with a `-test` prefix because
historically eclipse could not distinguish between test and main
source-sets and could only use a single classpath.
This is no longer the case for the past few Eclipse versions.
This PR adds the necessary configuration to correctly categorize source
folders and libraries.
With this change eclipse can import projects, and the visibility rules
are correct e.x. auto compete doesn't offer classes from test code or
`testCompile` dependencies when editing classes in `main`.
Unfortunately the cyclic dependency detection in Eclipse doesn't seem to
take the difference between test and non test source sets into account,
but since we are checking this in Gradle anyhow, it's safe to set to
`warning` in the settings. Unfortunately there is no setting to ignore
it.
This might cause problems when building since Eclipse will probably not
know the right order to build things in so more wirk might be necesarry.
This commit change the repositories base paths used in Azure/S3/GCS
integration tests so that they don't conflict with each other when tests
run in parallel on real storage services.
Closes#47202
The Azure SDK client expects server errors to have a body,
something that looks like:
<?xml version="1.0" encoding="utf-8"?>
<Error>
<Code>string-value</Code>
<Message>string-value</Message>
</Error>
I've forgot to add such errors in Azure tests and that triggers
some NPE in the client like the one reported in #47120.
Closes#47120
Similarly to what has been done for S3 and GCS, this commit
adds unit tests that verify the retry logic of the Azure SDK
client implementation when the remote service returns errors.
It only tests the retry logic in case of errors and not in
case of timeouts because Azure client timeout options are
not exposed as settings.
Similarly to what has been done for S3 in #45383, this commit
adds unit tests that verify the behavior of the SDK client and
blob container implementation for Google Storage when the
remote service returns errors.
The main purpose was to add an extra test to the specific retry
logic for 410-Gone errors added in #45963.
Relates #45963
This PR adds some restrictions around testfixtures to make sure the same service ( as defiend in docker-compose.yml ) is not shared between multiple projects.
Sharing would break running with --parallel.
Projects can still share fixtures as long as each has it;s own service within.
This is still useful to share some of the setup and configuration code of the fixture.
Project now also have to specify a service name when calling useCluster to refer to a specific service.
If this is not the case all services will be claimed and the fixture can't be shared.
For this reason fixtures have to explicitly specify if they are using themselves ( fixture and tests in the same project ).
GoogleCloudStorageBlobStore.deleteBlobsIgnoringIfNotExists() does
not correctly catch StorageException thrown by batch.submit().
In the case a snapshot is deleted through BlobStoreRepository.deleteSnapshot()
a storage exception is not caught (only IOException are) so the deletion is
interrupted and indices cannot be cleaned up. The storage exception bubbles
up to SnapshotService.deleteSnapshotFromRepository() but the listener that
removes the deletion from the cluster state is not executed, leaving the
deletion in the cluster state.
This bug has been reported in #46772 where batch.submit() threw an
exception in the test testIndicesDeletedFromRepository and following
tests failed because a snapshot deletion was running.
Relates #46772
This commit adds support for Put Block API to the internal HTTP server
used in Azure repository integration tests. This allows to test the
behavior of the Azure SDK client when the Azure Storage service
returns errors when uploading Blob in multiple blocks or when
downloading a blob using ranged downloads.
This commit adds support for resumable uploads to the internal HTTP
server used in GoogleCloudStorageBlobStoreRepositoryTests. This
way we can also test the behavior of the Google's client when the
service returns server errors in response to resumable upload requests.
The BlobStore implementation for GCS has the choice between 2
methods to upload a blob: resumable and multipart. In the current
implementation, the client executes a resumable upload if the blob
size is larger than LARGE_BLOB_THRESHOLD_BYTE_SIZE,
otherwise it executes a multipart upload. This commit makes this
logic overridable in tests, allowing to randomize the decision of
using one method or the other.
The commit add support for single request resumable uploads
and chunked resumable uploads (the blob is uploaded into multiple
2Mb chunks; each chunk being a resumable upload). For this last
case, this PR also adds a test testSnapshotWithLargeSegmentFiles
which makes it more probable that a chunked resumable upload is
executed.
A resumable upload session can fail on with a 410 error and should
be retried in that case. I added retrying twice using resetting of
the given `InputStream` as the retry mechanism since the same
approach is used by the AWS S3 SDK already as well and relied upon
by the S3 repository implementation.
Related GCS documentation:
https://cloud.google.com/storage/docs/json_api/v1/status-codes#410_Gone
There were some issues with the Azure implementation requiring
permissions to list all containers ue to a container exists
check. This was caught in CI this time, but going forward we
should ensure that CI is executed using a token that does not
allow listing containers.
Relates #43288
Today if the connection to S3 times out or drops after starting to download an
object then the SDK does not attempt to recover or resume the download, causing
the restore of the whole shard to fail and retry. This commit allows
Elasticsearch to detect such a mid-stream failure and to resume the download
from where it failed.
This commit modifies the HTTP server used in
AzureBlobStoreRepositoryTests so that it randomly returns
server errors for any type of request executed by the Azure client.
This commit modifies the HTTP server used in
GoogleCloudStorageBlobStoreRepositoryTests so that it randomly
returns server errors. The test does not inject server errors for the
following types of request: batch request, resumable upload request.
The `repository-s3` plugin has supported a storage class of `onezone_ia` since
the SDK upgrade in #30723, but we do not test or document this fact. This
commit adds this storage class to the docs and adds a test to ensure that the
documented storage classes are all accepted by S3 too.
Fixes#30474
This commit removes the usage of MockGoogleCloudStoragePlugin in
GoogleCloudStorageBlobStoreRepositoryTests and replaces it by a
HttpServer that emulates the Storage service. This allows the repository
tests to use the real Google's client under the hood in tests and will allow
us to test the behavior of the snapshot/restore feature for GCS repositories
by simulating random server-side internal errors.
The HTTP server used to emulate the Storage service is intentionally simple
and minimal to keep things understandable and maintainable. Testing full
client options on the server side (like authentication, chunked encoding
etc) remains the responsibility of the GoogleCloudStorageFixture.
Similarly to what had been done for S3 (#46081) and GCS (#46255)
this commit adds repository integration tests for Azure, based on an
internal HTTP server instead of mocks.
When some high values are randomly picked up - for example the number
of indices to snapshot or the number of snapshots to create - the tests
in S3BlobStoreRepositoryTests can generate a high number of requests to
the internal S3 server.
In order to test the retry logic of the S3 client, the internal server is
designed to randomly generate random server errors. When many
requests are made, it is possible that the S3 client reaches its maximum
number of successive retries capacity. Then the S3 client will stop
retrying requests until enough retry attempts succeed, but it means
that any request could fail before reaching the max retries count and
make the test fail too.
Closes#46217Closes#46218Closes#46219
This commit modifies the HTTP server used in S3BlobStoreRepositoryTests
so that it randomly returns server errors for any type of request executed by
the SDK client. It is now possible to verify that the repository tests are s
uccessfully completed even if one or more errors were returned by the S3
service in response of a blob upload, a blob deletion or a object listing request
etc.
Because injecting errors forces the SDK client to retry requests, the test limits
the maximum errors to send in response for each request at 3 retries.
This commit removes the usage of MockAmazonS3 in S3BlobStoreRepositoryTests
and replaces it by a HttpServer that emulates the S3 service. This allows the
repository tests to use the real Amazon's S3 client under the hood in tests and will
allow to test the behavior of the snapshot/restore feature for S3 repositories by
simulating random server-side internal errors.
The HTTP server used to emulate the S3 service is intentionally simple and minimal
to keep things understandable and maintainable. Testing full client options on the
server side (like authentication, chunked encoding etc) remains the responsibility
of the AmazonS3Fixture.
This commit starts from the simple premise that the use of node settings
in blob store repositories is a mistake. Here we see that the node
settings are used to get default settings for store and restore throttle
rates. Yet, since there are not any node settings registered to this
effect, there can never be a default setting to fall back to there, and
so we always end up falling back to the default rate. Since this was the
only use of node settings in blob store repository, we move them. From
this, several places fall out where we were chaining settings through
only to get them to the blob store repository, so we clean these up as
well. That leaves us with the changeset in this commit.
This commit refactors the S3 credentials tests in
RepositoryCredentialsTests so that it now uses a single
node (ESSingleNodeTestCase) to test how secure/insecure
credentials are overriding each other. Using a single node
makes it much easier to understand what each test is actually
testing and IMO better reflect how things are initialized.
It also allows to fold into this class the test
testInsecureRepositoryCredentials which was wrongly located
in S3BlobStoreRepositoryTests. By moving this test away, the
S3BlobStoreRepositoryTests class does not need the
allow_insecure_settings option anymore and thus can be
executed as part of the usual gradle test task.
This commit changes the tests added in #45383 so that the fixture that
emulates the S3 service now sometimes consumes all the request body
before sending an error, sometimes consumes only a part of the request
body and sometimes consumes nothing. The idea here is to beef up a bit
the tests that writes blob because the client's retry logic relies on
marking and resetting the blob's input stream.
This pull request also changes the testWriteBlobWithRetries() so that it
(rarely) tests with a large blob (up to 1mb), which is more than the client's
default read limit on input streams (131Kb).
Finally, it optimizes the ZeroInputStream so that it is a bit more effective
(now works using an internal buffer and System.arraycopy() primitives).
This commit adds tests to verify the behavior of the S3BlobContainer and
its underlying AWS SDK client when the remote S3 service is responding
errors or not responding at all. The expected behavior is that requests are
retried multiple times before the client gives up and the S3BlobContainer
bubbles up an exception.
The test verifies the behavior of BlobContainer.writeBlob() and
BlobContainer.readBlob(). In the case of S3 writing a blob can be executed
as a single upload or using multipart requests; the test checks both scenario
by writing a small then a large blob.
* Repository Cleanup Endpoint (#43900)
* Snapshot cleanup functionality via transport/REST endpoint.
* Added all the infrastructure for this with the HLRC and node client
* Made use of it in tests and resolved relevant TODO
* Added new `Custom` CS element that tracks the cleanup logic.
Kept it similar to the delete and in progress classes and gave it
some (for now) redundant way of handling multiple cleanups but only allow one
* Use the exact same mechanism used by deletes to have the combination
of CS entry and increment in repository state ID provide some
concurrency safety (the initial approach of just an entry in the CS
was not enough, we must increment the repository state ID to be safe
against concurrent modifications, otherwise we run the risk of "cleaning up"
blobs that just got created without noticing)
* Isolated the logic to the transport action class as much as I could.
It's not ideal, but we don't need to keep any state and do the same
for other repository operations
(like getting the detailed snapshot shard status)
This change adds a new option called user_dictionary_rules to
Kuromoji's tokenizer. It can be used to set additional tokenization rules
to the Japanese tokenizer directly in the settings (instead of using a file).
This commit also adds a check that no rules are duplicated since this is not allowed
in the UserDictionary.
Closes#25343
* Update the REST API specification
This patch updates the REST API spefication in JSON files to better encode deprecated entities,
to improve specification of URL paths, and to open up the schema for future extensions.
Notably, it changes the `paths` from a list of strings to a list of objects, where each
particular object encodes all the information for this particular path: the `parts` and the `methods`.
Among the benefits of this approach is eg. encoding the difference between using the `PUT` and `POST`
methods in the Index API, to either use a specific document ID, or let Elasticsearch generate one.
Also `documentation` becomes an object that supports an `url` and also a `description` which is a
new field.
* Adapt YAML runner to new REST API specification format
The logic for choosing the path to use when running tests has been
simplified, as a consequence of the path parts being listed under each
path in the spec. The special case for create and index has been removed.
Also the parsing code has been hardened so that errors are thrown earlier
when the structure of the spec differs from what expected, and their
error messages should be more helpful.
The current implementations make it difficult for
adding new privileges (example: a cluster privilege which is
more than cluster action-based and not exposed to the security
administrator). On the high level, we would like our cluster privilege
either:
- a named cluster privilege
This corresponds to `cluster` field from the role descriptor
- or a configurable cluster privilege
This corresponds to the `global` field from the role-descriptor and
allows a security administrator to configure them.
Some of the responsibilities like the merging of action based cluster privileges
are now pushed at cluster permission level. How to implement the predicate
(using Automaton) is being now enforced by cluster permission.
`ClusterPermission` helps in enforcing the cluster level access either by
performing checks against cluster action and optionally against a request.
It is a collection of one or more permission checks where if any of the checks
allow access then the permission allows access to a cluster action.
Implementations of cluster privilege must be able to provide information
regarding the predicates to the cluster permission so that can be enforced.
This is enforced by making implementations of cluster privilege aware of
cluster permission builder and provide a way to specify how the permission is
to be built for a given privilege.
This commit renames `ConditionalClusterPrivilege` to `ConfigurableClusterPrivilege`.
`ConfigurableClusterPrivilege` is a renderable cluster privilege exposed
as a `global` field in role descriptor.
Other than this there is a requirement where we would want to know if a cluster
permission is implied by another cluster-permission (`has-privileges`).
This is helpful in addressing queries related to privileges for a user.
This is not just simply checking of cluster permissions since we do not
have access to runtime information (like request object).
This refactoring does not try to address those scenarios.
Relates #44048
Elasticsearch does not grant Netty reflection access to get Unsafe. The
only mechanism that currently exists to free direct buffers in a timely
manner is to use Unsafe. This leads to the occasional scenario, under
heavy network load, that direct byte buffers can slowly build up without
being freed.
This commit disables Netty direct buffer pooling and moves to a strategy
of using a single thread-local direct buffer for interfacing with sockets.
This will reduce the memory usage from networking. Elasticsearch
currently derives very little value from direct buffer usage (TLS,
compression, Lucene, Elasticsearch handling, etc all use heap bytes). So
this seems like the correct trade-off until that changes.
Uses JDK 11's per-socket configuration of TCP keepalive (supported on Linux and Mac), see
https://bugs.openjdk.java.net/browse/JDK-8194298, and exposes these as transport settings.
By default, these options are disabled for now (i.e. fall-back to OS behavior), but we would like
to explore whether we can enable them by default, in particular to force keepalive configurations
that are better tuned for running ES.
Currently in the transport-nio work we connect and bind channels on the
a thread before the channel is registered with a selector. Additionally,
it is at this point that we set all the socket options. This commit
moves these operations onto the event-loop after the channel has been
registered with a selector. It attempts to set the socket options for a
non-server channel at registration time. If that fails, it will attempt
to set the options after the channel is connected. This should fix
#41071.
* Stop Passing Around REST Request in Multiple Spots
* Motivated by #44564
* We are currently passing the REST request object around to a large number of places. This works fine since we simply copy the full request content before we handle the rest itself which is needlessly hard on GC and heap.
* This PR removes a number of spots where the request is passed around needlessly. There are many more spots to optimize in follow-ups to this, but this one would already enable bypassing the request copying for some error paths in a follow up.
* Create S3 Third Party Test Task that Covers the S3 CLI Tool
* Adjust snapshot cli test tool tests to work with real S3
* Build adjustment
* Clean up repo path before testing
* Dedup the logic for asserting path contents by using the correct utility method here that somehow became unused
We often start testing with early access versions of new Java
versions and this have caused minor issues in our tests
(i.e. #43141) because the version string that the JVM reports
cannot be parsed as it ends with the string -ea.
This commit changes how we parse and compare Java versions to
allow correct parsing and comparison of the output of java.version
system property that might include an additional alphanumeric
part after the version numbers
(see [JEP 223[(https://openjdk.java.net/jeps/223)). In short it
handles a version number part, like before, but additionally a
PRE part that matches ([a-zA-Z0-9]+).
It also changes a number of tests that would attempt to parse
java.specification.version in order to get the full version
of Java. java.specification.version only contains the major
version and is thus inappropriate when trying to compare against
a version that might contain a minor, patch or an early access
part. We know parse java.version that can be consistently
parsed.
Resolves#43141
These Azure tests have hard println statements which means we always see
these messages during configuration. Yet, there are unnecessary most of
the time. This commit changes them to use debug logging.
The repository-hdfs runners need to be disabled it in fips mode.
Testing done for all the tasks, dynamic created and static (integTest, integTestHa, integSecureTest, integSecureHaTest)
While the code works perfectly well for a single segment, it returns the wrong values for multiple segments. E.g. If we have 500 docs in one segment and if we want to get the doc id = 280 then data.advanceExact(topDocs.scoreDocs[i].doc) works fine. If we have two segments, say, with first segment having docs 1-200 and the second segment having docs 201-500, then 280 is fetched from the second segment but is actually 480. Subtracting the docBase (280-200) takes us to the correct document which is 80 in the second segment and actually 280.
Today we have an annotation for controlling logging levels in
tests. This annotation serves two purposes, one is to control the
logging level used in tests, when such control is needed to impact and
assert the behavior of loggers in tests. The other use is when a test is
failing and additional logging is needed. This commit separates these
two concerns into separate annotations.
The primary motivation for this is that we have a history of leaving
behind the annotation for the purpose of investigating test failures
long after the test failure is resolved. The accumulation of these stale
logging annotations has led to excessive disk consumption. Having
recently cleaned this up, we would like to avoid falling into this state
again. To do this, we are adding a link to the test failure under
investigation to the annotation when used for the purpose of
investigating test failures. We will add tooling to inspect these
annotations, in the same way that we have tooling on awaits fix
annotations. This will enable us to report on the use of these
annotations, and report when stale uses of the annotation exist.
* We only use this method in one place in production code and can replace that with a read -> remove it to simplify the interface
* Keep it as an implementation detail in the Azure repository
This commit moves the config that stores Cors options into the server
package. Currently both nio and netty modules must have a copy of this
config. Moving it into server allows one copy and the tests to be in a
common location.
Registering a channel with a selector is a required operation for the
channel to be handled properly. Currently, we mix the registeration with
other setup operations (ip filtering, SSL initiation, etc). However, a
fail to register is fatal. This PR modifies how registeration occurs to
immediately close the channel if it fails.
There are still two clear loopholes for how a user can interact with a
channel even if registration fails. 1. through the exception handler.
2. through the channel accepted callback. These can perhaps be improved
in the future. For now, this PR prevents writes from proceeding if the
channel is not registered.
Test clusters currently has its own set of logic for dealing with
finding different versions of Elasticsearch, downloading them, and
extracting them. This commit converts testclusters to use the
DistributionDownloadPlugin.
Due to recent changes are done for converting `repository-hdfs` to test
clusters (#41252), the `integTestSecure*` tasks did not depend on
`secureHdfsFixture` which when running would fail as the fixture
would not be available. This commit adds the dependency of the fixture
to the task.
The `secureHdfsFixture` is a `AntFixture` which is spawned a process.
Internally it waits for 30 seconds for the resources to be made available.
For my local machine, it took almost 45 seconds to be available so I have
added the wait time as an input to the `AntFixture` defaults to 30 seconds
and set it to 60 seconds in case of secure hdfs fixture.
The integ test for secure hdfs was disabled for a long time and so
the changes done in #42090 to fix the tests are also done in this commit.
Simplifies AbstractSimpleTransportTestCase to use JVM-local ports and also adds an assertion so
that cases like #44134 can be more easily debugged. The likely reason for that one is that a test,
which was repeated again and again while always spawning a fresh Gradle worker (due to Gradle
daemon) kept increasing Gradle worker IDs, causing an overflow at some point.
* Test fixtures improovements
Don't disable some of the precommit tasks on fixtures.
This no longer makes sense now that a project can both produce and use a
fixture.
In order for this to be possible, had to add an additional configuration
to make JarHell class accessible to the task even if it's not a
dependency of the project and fix some of the third party audit fallout
from #43671 which wasn't detected at the time due to the issue being
fixed here.
Closes#43918
* Use ability to list child "folders" in the blob store to implement recursive delete on all stale index folders when cleaning up instead of using the diff between two `RepositoryData` instances to cover aborted deletes
* Runs after ever delete operation
* Relates #13159 (fixing most of this issues caused by unreferenced indices, leaving some meta files to be cleaned up only)
* Provide an Option to Use Path-Style-Access with S3 Repo
* As discussed, added the option to use path style access back again and
deprecated it.
* Defaulted to `false`
* Added warning to docs
* Closes#41816
This brings TokenizerFactory into line with CharFilterFactory and TokenFilterFactory,
and removes the need to pass around tokenizer names when building custom analyzers.
As this means that TokenizerFactory is no longer a functional interface, the commit also
adds a factory method to TokenizerFactory to make construction simpler.
This is a prerequisite of #42189:
* Add directory delete method to blob container specific to each implementation:
* Some notes on the implementations:
* AWS + GCS: We can simply exploit the fact that both AWS and GCS return blobs lexicographically ordered which allows us to simply delete in the same order that we receive the blobs from the listing request. For AWS this simply required listing without the delimiter setting (so we get a deep listing) and for GCS the same behavior is achieved by not using the directory mode on the listing invocation. The nice thing about this is, that even for very large numbers of blobs the memory requirements are now capped nicely since we go page by page when deleting.
* For Azure I extended the parallelization to the listing calls as well and made it work recursively. I verified that this works with thread count `1` since we only block once in the initial thread and then fan out to a "graph" of child listeners that never block.
* HDFS and FS are trivial since we have directory delete methods available for them
* Enhances third party tests to ensure the new functionality works (I manually ran them for all cloud providers)
* Add Ability to List Child Containers to BlobContainer (#42653)
* Add Ability to List Child Containers to BlobContainer
* This is a prerequisite of #42189
This change adds the ability to attach annotative information for
classes, methods, fields, static methods, class bindings, and
instance bindings during Painless whitelisting.
Annotations are specified as @annotation or optionally as
@annotation[parameter="argument",...].
Annotations open up the ability to specify whitelist objects as
having a short name (no_import -> @no_import) or deprecated.
Currently nio implements ip filtering at the channel context level. This
is kind of a hack as the application logic should be implemented at the
handler level. This commit moves the ip filtering into a channel
handler. This requires adding an indicator to the channel handler to
show when a channel should be closed.
* This check is redundant, if the container doesn't exist subsequent operations will fail anyway. Since we are not running this exists check during verification I don't think there's much point to having it in snapshot initialization.
* This PR is mainly motivated by the fact that this forces more permissions to be available in shared environments
* Upgrade to latest GCS SDK and transitive dependencies (I chose the later version here on conflict)
* Remove now unnecessary hack for custom endpoints (the linked bugs were both resolved in the SDK)
* Use `internalCluster().close()` to force all nodes (and not just the datanodes) to shut down even if one fails to shut down in time
* Force closing httpServer to get cleaner logs if nodes still hang on shut down
* Relates #43048
* introduce state to the REST API specification
* change state over to stability
* CCR is no GA updated to stable
* SQL is now GA so marked as stable
* Introduce `internal` as state for API's, marks stable in terms of lifetime but unstable in terms of guarantees on its output format since it exposes internal representations
* make setting a wrong stability value, or not setting it at all an error that causes the YAML test suite to fail
* update spec files to be explicit about their stability state
* Document the fact that stability needs to be defined
Otherwise the YAML test runner will fail (with a nice exception message)
* address check style violations
* update rest spec unit tests to include stability
* found one more test spec file not declaring stability, made sure stability appears after documentation everywhere
* cluster.state is stable, mark response in some way to denote its a key value format that can be changed during minors
* mark data frame API's as beta
* remove internal and private as states for an API
* removed the wrong enum values in the Stability Enum in the previous commit
(cherry picked from commit 61c34bbd92f8f7e5f22fa411c6b682b0ebd8a99d)
Infra has fixed#10462 by installing `haveged` on CI workers.
This commit enables the disabled fixture and tests, and mounts
`/dev/urandom` for the container so there is enough
entropy required for kdc.
Note: hdfs-repository tests have been disabled, will raise a separate issue for it.
Closes#40624Closes#40678
We are still using `FileSwitchDirectory` in the case a user configures file based pre-load of mmaps. This is trappy for multiple reasons if the both directories used by `FileSwitchDirectory` point to the same filesystem directory. One issue is LUCENE-8835 that cause issues like #37111 - unless LUCENE-8835 isn't fixed we should not use it in elasticsearch. Instead we use a similar trick as we use for HybridFS and subclass mmap directory directly.
Currently suggesters return null values on empty shards. Usually this gets replaced
by results from other non-epmty shards, but if the index is completely epmty (e.g. after
creation) the search responses "suggest" is also "null" and we don't render a corresponding
output in the REST response. This is an irritating edge case that requires special handling on
the user side (see #42473) and should be fixed.
This change makes sure every suggester type (completion, terms, phrase) returns at least an
empty skeleton suggestion output, even for empty shards. This way, even if we don't find
any suggestions anywhere, we still return and output the empty suggestion.
Closes#42473
Fixes an issue where repositories are unintentionally shared among tests (given that the repo contents is captured in a static variable on the test class, to allow "sharing" among nodes) and two tests randomly chose the same snapshot name, leading to a conflict.
Closes#42519
We initially added `requireDocker` for a way for tasks to say that they
absolutely must have it, like the build docker image tasks.
Projects using the test fixtures plugin are not in this both, as the
intent with these is that they will be skipped if docker and docker-compose
is not available.
Before this change we were lenient, the docker image build would succeed
but produce nothing. The implementation was also confusing as it was not
immediately obvious this was the case due to all the indirection in the
code.
The reason we have this leniency is that when we added the docker image
build, docker was a fairly new requirement for us, and we didn't have
it deployed in CI widely enough nor had CI configured to prefer workers
with docker when possible. We are in a much better position now.
The other reason was other stack teams running `./gradlew assemble`
in their respective CI and the possibility of breaking them if docker is
not installed. We have been advocating for building specific distros for
some time now and I will also send out an additional notice
The PR also removes the use of `requireDocker` from tests that actually
use test fixtures and are ok without it, and fixes a bug in test
fixtures that would cause incorrect configuration and allow some tasks
to run when docker was not available and they shouldn't have.
Closes #42680 and #42829 see also #42719
This commit fixes the version parsing in various tests. The issue here is that
the parsing was relying on java.version. However, java.version can contain
additional characters such as -ea for early access builds. See JEP 233:
Name Syntax
------------------------------ --------------
java.version $VNUM(\-$PRE)?
java.runtime.version $VSTR
java.vm.version $VSTR
java.specification.version $VNUM
java.vm.specification.version $VNUM
Instead, we want java.specification.version.
Adding an example of how to re-implement the polish stempel analyzer
in case a user want to modify or extend it. In order for the analyzer to be
able to use polish stopwords, also registering a polish_stop filter for the
stempel plugin.
Closes#13150
We had this as a dependency for legacy dependencies that still needed
the Log4j 1.2 API. This appears to no longer be necessary, so this
commit removes this artifact as a dependency.
To remove this dependency, we had to fix a few places where we were
accidentally relying on Log4j 1.2 instead of Log4j 2 (easy to do, since
both APIs were on the compile-time classpath).
Finally, we can remove our custom Netty logger factory. This was needed
when we were on Log4j 1.2 and handled logging in our own unique
way. When we migrated to Log4j 2 we could have dropped this
dependency. However, even then Netty would still pick up Log4j 1.2 since
it was on the classpath, thus the advantage to removing this as a
dependency now.
Adrien Grand
Armin Braun
Alexander Reelsen
Stuart Tettemer
Tanguy Leroux
Ignacio Vera
Jason Tedor
Jake Landis
Mayya Sharipova
Jim Ferenczi
Alan Woodward
Rory Hunter
Mark Vieira
Andrey Ershov
Tim Brooks
Nick Knize
Ryan Ernst
Alpar Torok
James Rodewig
Henning Andersen
David Turner
Luca Cavanna
Igor Motov
Yogesh Gaikwad
Yannick Welsch
Ioannis Kakavas
maarab7
Jack Conradson
Martijn Laarman
Simon Willnauer
Christoph Büscher