We can be a little more efficient when aborting a snapshot. Since we know the new repository
data after finalizing the aborted snapshot when can pass it down to the snapshot completion listeners.
This way, we don't have to fork off to the snapshot threadpool to get the repository data when the listener completes and can directly submit the delete task with high priority straight from the cluster state thread.
Provides basic repository-level stats that will allow us to get some insight into how many
requests are actually being made by the underlying SDK. Currently only tracks GET and LIST
calls for S3 repositories. Most of the code is unfortunately boiler plate to add a new endpoint
that will help us better understand some of the low-level dynamics of searchable snapshots.
This change converts the module and plugin parameters
for testClusters to be lazy. Meaning that the values
are not resolved until they are actually used. This
removes the requirement to use project.afterEvaluate to
be able to resolve the bundle artifact.
Note - this does not completely remove the need for afterEvaluate
since it is still needed for the custom resource extension.
The use of available processors, the terminology, and the settings
around it have evolved over time. This commit cleans up some places in
the codes and in the docs to adjust to the current terminology.
The ranges in HTTP headers are using inclusive values for start and end of the range.
The math we used was off in so far that start equals end for the range resulted in length `0`
instead of the correct value of `1`.
Closes#54981Closes#54995
Guava was removed from Elasticsearch many years ago, but remnants of it
remain due to transitive dependencies. When a dependency pulls guava
into the compile classpath, devs can inadvertently begin using methods
from guava without realizing it. This commit moves guava to a runtime
dependency in the modules that it is needed.
Note that one special case is the html sanitizer in watcher. The third
party dep uses guava in the PolicyFactory class signature. However, only
calling a method on the PolicyFactory actually causes the class to be
loaded, a reference alone does not trigger compilation to look at the
class implementation. There we utilize a MethodHandle for invoking the
relevant method at runtime, where guava will continue to exist.
This commit moves the action name validation and circuit breaking into
the InboundAggregator. This work is valuable because it lays the
groundwork for incrementally circuit breaking as data is received.
This PR includes the follow behavioral change:
Handshakes contribute to circuit breaking, but cannot be broken. They
currently do not contribute nor are they broken.
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 updates the link to the JDK 14 compiler bug that we have
found. At the time that we committed the workaround, we had a submission
ID, but not yet the public bug URL. This commit adds the public bug URL.
This commit workarounds a bug in the JDK 14 compiler. It is choking on a
method reference, so we substitute a lambda expression instead. The JDK
bug ID is 9064309.
This is a simple naming change PR, to fix the fact that "metadata" is a
single English word, and for too long we have not followed general
naming conventions for it. We are also not consistent about it, for
example, METADATA instead of META_DATA if we were trying to be
consistent with MetaData (although METADATA is correct when considered
in the context of "metadata"). This was a simple find and replace across
the code base, only taking a few minutes to fix this naming issue
forever.
* Comprehensively test supported/unsupported field type:agg combinations (#52493)
This adds a test to AggregatorTestCase that allows us to programmatically
verify that an aggregator supports or does not support a particular
field type. It fetches the list of registered field type parsers,
creates a MappedFieldType from the parser and then attempts to run
a basic agg against the field.
A supplied list of supported VSTypes are then compared against the
output (success or exception) and suceeds or fails the test accordingly.
Co-Authored-By: Mark Tozzi <mark.tozzi@gmail.com>
* Skip fields that are not aggregatable
* Use newIndexSearcher() to avoid incompatible readers (#52723)
Lucene's `newSearcher()` can generate readers like ParallelCompositeReader
which we can't use. We need to instead use our helper `newIndexSearcher`
Backport of #53982
In order to prepare the `AliasOrIndex` abstraction for the introduction of data streams,
the abstraction needs to be made more flexible, because currently it really can be only
an alias or an index.
* Renamed `AliasOrIndex` to `IndexAbstraction`.
* Introduced a `IndexAbstraction.Type` enum to indicate what a `IndexAbstraction` instance is.
* Replaced the `isAlias()` method that returns a boolean with the `getType()` method that returns the new Type enum.
* Moved `getWriteIndex()` up from the `IndexAbstraction.Alias` to the `IndexAbstraction` interface.
* Moved `getAliasName()` up from the `IndexAbstraction.Alias` to the `IndexAbstraction` interface and renamed it to `getName()`.
* Removed unnecessary casting to `IndexAbstraction.Alias` by just checking the `getType()` method.
Relates to #53100
Currently all of our transport protocol decoding and aggregation occurs
in the individual transport modules. This means that each implementation
(test, netty, nio) must implement this logic. Additionally, it means
that the entire message has been read from the network before the server
package receives it.
This commit creates a pipeline in server which can be passed arbitrary
bytes to handle. Internally, the pipeline will decode, decompress, and
aggregate the messages. Additionally, this allows us to run many
megabytes of bytes through the pipeline in tests to ensure that the
logic works.
This work will enable future work:
Circuit breaking or backoff logic based on message type and byte
in the content aggregator.
Sharing bytes with the application layer using the ref counted
releasable network bytes.
Improved network monitoring based specifically on channels.
Finally, this fixes the bug where we do not circuit break on the correct
message size when compression is enabled.
Elasticsearch has a number of different BytesReference implementations.
These implementations can all implement the interface in different ways
with subtly different behavior and performance characteristics. On the
other-hand, the JVM only represents bytes as an array or a direct byte
buffer. This commit deletes the specialized Netty implementations and
moves to using a generic ByteBuffer reference type. This will allow us
to focus on standardizing performance and behave around a smaller number
of implementations that can be used by all components in Elasticsearch.
We are not using the Apache HTTP client backed http transport
with the GCS repo. Same as with the app engine type transport
we can save ourselves the dependency on the http client here
and ignore the missing classes.
* Upgrade GCS Dependency to 1.106.0 (#54092)
Upgrading GCS Dep + related dependencies as it seems some more retry bugs were fixed between .104 and .106
This reverts commit 23cccf088810b8416ed278571352393cc2de9523.
Unfortunately SAS token auth still doesn't work with bulk deletes so we can't use them yet.
Closes#54080
This commit removes the configuration time vs execution time distinction
with regards to certain BuildParms properties. Because of the cost of
determining Java versions for configuration JDK locations we deferred
this until execution time. This had two main downsides. First, we had
to implement all this build logic in tasks, which required a bunch of
additional plumbing and complexity. Second, because some information
wasn't known during configuration time, we had to nest any build logic
that depended on this in awkward callbacks.
We now defer to the JavaInstallationRegistry recently added in Gradle.
This utility uses a much more efficient method for probing Java
installations vs our jrunscript implementation. This, combined with some
optimizations to avoid probing the current JVM as well as deferring
some evaluation via Providers when probing installations for BWC builds
we can maintain effectively the same configuration time performance
while removing a bunch of complexity and runtime cost (snapshotting
inputs for the GenerateGlobalBuildInfoTask was very expensive). The end
result should be a much more responsive build execution in almost all
scenarios.
(cherry picked from commit ecdbd37f2e0f0447ed574b306adb64c19adc3ce1)
This change adds the `nori_number` token filter.
It also adds a `discard_punctuation` option in nori_tokenizer that should be used in conjunction with the new filter.
Upgrading AWS SDK to v1.11.749.
Required building clients inside privileged contexts because some class loading that requires privileges now happens there and working around a new SDK bug in the S3 client builder.
Closes#53191
Upgrading to 8.6.2 in #53865 broke running against HTTPs endpoints (and hence real azure)
because the https url connection needs the newly added permission to work.
The lower end of the timeout range of 100ms is prone to time out
on CI before the mock REST server gets to sending a response that
is not supposed to be a timeout.
Using 1-3s here should make this safe at the cost of randomly making
this test take a few seconds.
Closes#53506
Re-applies the change from #53523 along with test fixes.
closes#53626closes#53624closes#53622closes#53625
Co-authored-by: Nik Everett <nik9000@gmail.com>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Jake Landis <jake.landis@elastic.co>
This commit upgrades the jackson-databind depdendency to
2.8.11.6. Additionally, we revert a previous change that put
ingest-geoip on the version of jackson-databind from the version
properties file. This is because upgrading ingest-geoip to a later
version of jackson-databind also requires an upgrade to the geoip2
dependency which is currently blocked. Therefore, if we can get to a
point where we otherwise upgrade our Jackson dependencies, we do not
want ingest-geoip to automatically come along with it.
Lucene 8.5.0 release candidates are imminent. This commit upgrades master to use
the latest snapshot to check that there are no last-minute bugs or regressions.
Upgrading the GCS SDK to the most recent version.
Adjusting (i.e. improving) the REST mock accordingly.
This should significantly boost performance by pulling in
https://github.com/googleapis/java-core/issues/86 in some cases.
Tests in GoogleCloudStorageBlobStoreRepositoryTests are known
to be flaky on JDK 8 (#51446, #52430 ) and we suspect a JDK
bug (https://bugs.openjdk.java.net/browse/JDK-8180754) that triggers
some assertion on the server side logic that emulates the Google
Cloud Storage service.
Sadly we were not able to reproduce the failures, even when using
the same OS (Debian 9, Ubuntu 16.04) and JDK (Oracle Corporation
1.8.0_241 [Java HotSpot(TM) 64-Bit Server VM 25.241-b07]) of
almost all the test failures on CI. While we spent some time fixing
code (#51933, #52431) to circumvent the JDK bug they are still flaky
on JDK-8. This commit mute these tests for JDK-8 only.
Close ##52906
The countdown didn't work well here because it only returns `true` once the countdown reaches `0`
but can on subsequent executions return `false` again if a countdown at `0` is counted down again,
leading to more than the expected number of simulated failures.
Closes#52607
Cache latest `RepositoryData` on heap when it's absolutely safe to do so (i.e. when the repository is in strictly consistent mode).
`RepositoryData` can safely be assumed to not grow to a size that would cause trouble because we often have at least two copies of it loaded at the same time when doing repository operations. Also, concurrent snapshot API status requests currently load it independently of each other and so on, making it safe to cache on heap and assume as "small" IMO.
The benefits of this move are:
* Much faster repository status API calls
* listing all snapshot names becomes instant
* Other operations are sped up massively too because they mostly operate in two steps: load repository data then load multiple other blobs to get the additional data
* Additional cloud cost savings
* Better resiliency, saving another spot where an IO issue could break the snapshot
* We can simplify a number of spots in the current code that currently pass around the repository data in tricky ways to avoid loading it multiple times in follow ups.
* Refactor Inflexible Snapshot Repository BwC (#52365)
Transport the version to use for a snapshot instead of whether to use shard generations in the snapshots in progress entry. This allows making upcoming repository metadata changes in a flexible manner in an analogous way to how we handle serialization BwC elsewhere.
Also, exposing the version at the repository API level will make it easier to do BwC relevant changes in derived repositories like source only or encrypted.
* Add Blob Download Retries to GCS Repository
Exactly as #46589 (and kept as close to it as possible code wise so we can dry things up in a follow-up potentially) but for GCS.
Closes#52319
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
Move EC2 discovery tests to using the mock REST API introduced in
https://github.com/elastic/elasticsearch/pull/50550 instead of mocking
the AWS SDK classes manually.
Move the trivial remaining AWS SDK mocks to the single test suit that
was using them.
- Enable SunJGSS provider for Kerberos tests
- Handle the fact that in the decrypt method in KeyStoreWrapper might
not throw immediately when the GCM cipher is from BouncyCastle FIPS
and we end up with a DataInputStream that has reached it's end.
- Disable tests, jarHell, testingConventions for ingest attachment
plugin. We don't support this plugin (and document this) in FIPS
mode.
- Don't attempt to install ingest-attachment in smoke-test-plugins
This commit changes how RestHandlers are registered with the
RestController so that a RestHandler no longer needs to register itself
with the RestController. Instead the RestHandler interface has new
methods which when called provide information about the routes
(method and path combinations) that are handled by the handler
including any deprecated and/or replaced combinations.
This change also makes the publication of RestHandlers safe since they
no longer publish a reference to themselves within their constructors.
Closes#51622
Co-authored-by: Jason Tedor <jason@tedor.me>
Backport of #51950
Now that the FIPS 140 security provider is simply a test dependency
we don't need the thirdPartyAudit exceptions, but plugin-cli and
transport-netty4 do need jarHell disabled as they use the non fips
BouncyCastle security provider as a test dependency too.
For small uploads (that can still be up to 5MB!) we needlessly
reading the `InputStream` into a BAOS which entailed allocating
the `byte[]` for the stream contents twice (because to `toByteArray` on the BAOS copies).
Also, for resumeable uploads we were needlessly wrapping the output channel and running each individual write in its own privileged context when we could just wrap the whole upload in a single privileged context.
Relates #51593
This test was still very GC heavy in Java 8 runs in particular
which seems to slow down request processing to the point of timeouts
in some runs.
This PR completely removes the large number of O(MB) `byte[]` allocations
that were happening in the mock http handler which cuts the allocation rate
by about a factor of 5 in my local testing for the GC heavy `testSnapshotWithLargeSegmentFiles`
run.
Closes#51446Closes#50754
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
It is the job of the http server transport to release the request in the handler
but the mock fails to do so since we never override `incomingRequest`.
Add cool down period after snapshot finalization and delete to prevent eventually consistent AWS S3 from corrupting shard level metadata as long as the repository is using the old format metadata on the shard level.
This moves the testing of custom significance heuristic plugins from an
`ESIntegTestCase` to an example plugin. This is *much* more "real" and
can be used as an example for anyone that needs to actually build such a
plugin. The old test had testing concerns and the example all jumbled
together.
It's impossible to tell why #50754 fails without this change.
We're failing to close the `exchange` somewhere and there is no
write timeout in the GCS SDK (something to look into separately)
only a read timeout on the socket so if we're failing on an assertion without
reading the full request body (at least into the read-buffer) we're locking up
waiting forever on `write0`.
This change ensure the `exchange` is closed in the tests where we could lock up
on a write and logs the failure so we can find out what broke #50754.
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**