* HLRC: Adding GET ML Job info API
* HLRC: Adding GET Job ML API
* Fixing QueryPage license header
* Adding serialization tests, addressing minor issues
* Renaming querypage, changing the dependency on it
* Making things immutable
* Fixing build failure due to method rename
This reworks how we configure the `shadow` plugin in the build. The major
change is that we no longer bundle dependencies in the `compile` configuration,
instead we bundle dependencies in the new `bundle` configuration. This feels
more right because it is a little more "opt in" rather than "opt out" and the
name of the `bundle` configuration is a little more obvious.
As an neat side effect of this, the `runtimeElements` configuration used when
one project depends on another now contains exactly the dependencies needed
to run the project so you no longer need to reference projects that use the
shadow plugin like this:
```
testCompile project(path: ':client:rest-high-level', configuration: 'shadow')
```
You can instead use the much more normal:
```
testCompile "org.elasticsearch.client:elasticsearch-rest-high-level-client:${version}"
```
This commit duplicates the `MlRestTestStateCleaner` to make sure
all ML data is removed after each test. After implementing
the job and datafeed APIs in the HLRC, we shall replace this
implementation with one using the HLRC itself.
Closes#32993
* HLRC: Adding ML Close Job API
HLRC: Adding ML Close Job API
* reconciling request converters
* Adding serialization tests and addressing PR comments
* Changing constructor order
All of the Elasticsearch logging infrastructure relies on log4j but we
don't want the high level rest client to rely on log4j2. All of its
logging goes through commons-logging because our dependencies drag in
commons logging already. Anyway, this bans direct use of Elasticsearch's
logging infrastructure in the high level REST client. It is still
possible to use it indirectly though and there isn't anything we can
really do about that until we split the high level rest client from
Elasticsearch's server jar.
This removes custom Response classes that extend `AcknowledgedResponse` and do nothing, these classes are not needed and we can directly use the non-abstract super-class instead.
While this appears to be a large PR, no code has actually changed, only class names have been changed and entire classes removed.
This test is superfluous - it was added to address #32770 but it later turned out there was an existing test that just required a fix to provide the missing test coverage.
Closes#32855
Significance score doubles were being parsed as long. Existing tests did not catch this because SignificantLongTermsTests and SignificantStringTermsTests did not set the score. Fixed these and also added integration test.
Thanks for the report/fix, Blakko
Closes#32770
The request and response classes have been extracted from `IndexUpgradeInfoAction` into top-level classes, and moved to the protocol jar. The `UpgradeActionRequired` enum is also moved.
Relates to #29827
LoggingDeprecationHandler requires log4j2 but we don't require log4j2 in
the client. This bans LoggingDeprecationHandler and removes all uses of
it in the high level client.
Closes#32151
This commit adds back the publishing section that sets the artifact id
of the generated pom file for the high level rest client. This was
accidentally removed during a consolidationo of the shadow plugin logic.
We previously discussed moving the classes extending `AcknowledgedResponse` to
simply use `AcknowledgedResponse`, making the class non-abstract.
This moves the first class to do this, removing `WritePipelineResponse` in the
process.
If we like the way this looks, I will switch the remaining classes over to using
`AcknowledgedResponse`.
Suggestion responses were previously serialized as streamables which
made writing suggesters in plugins with custom suggestion response types
impossible. This commit makes them serialized as named writeables and
provides a facility for registering a reader for suggestion responses
when registering a suggester.
This also makes Suggestion responses abstract, requiring a suggester
implementation to provide its own types. Suggesters which do not need
anything additional to what is defined in Suggest.Suggestion should
provide a minimal subclass.
The existing plugin suggester integration tests are removed and
replaced with an equivalent implementation as an example
plugin.
Rest HL client: Add get license action
Continues to use String instead of a more complex License class to
hold the license text similarly to put license.
Relates #29827
The testPutLicense test tries to put a license generated using
snapshot keys into release cluster. This commit suppresses the
test during the release builds.
Closes#32580
The commercial clients were improperly placed into XPackClient, which is
a wrapper for the miscellaneous usage and info APIs. This commit moves
them into the HLRC.
Removes shadowing from the benchmarks. It isn't *strictly* needed. We do
have to rework the documentation on how to run the benchmark, but it
still seems to work if you run everything through gradle.
First, some background: we have 15 different methods to get a logger in
Elasticsearch but they can be broken down into three broad categories
based on what information is provided when building the logger.
Just a class like:
```
private static final Logger logger = ESLoggerFactory.getLogger(ActionModule.class);
```
or:
```
protected final Logger logger = Loggers.getLogger(getClass());
```
The class and settings:
```
this.logger = Loggers.getLogger(getClass(), settings);
```
Or more information like:
```
Loggers.getLogger("index.store.deletes", settings, shardId)
```
The goal of the "class and settings" variant is to attach the node name
to the logger. Because we don't always have the settings available, we
often use the "just a class" variant and get loggers without node names
attached. There isn't any real consistency here. Some loggers get the
node name because it is convenient and some do not.
This change makes the node name available to all loggers all the time.
Almost. There are some caveats are testing that I'll get to. But in
*production* code the node name is node available to all loggers. This
means we can stop using the "class and settings" variants to fetch
loggers which was the real goal here, but a pleasant side effect is that
the ndoe name is now consitent on every log line and optional by editing
the logging pattern. This is all powered by setting the node name
statically on a logging formatter very early in initialization.
Now to tests: tests can't set the node name statically because
subclasses of `ESIntegTestCase` run many nodes in the same jvm, even in
the same class loader. Also, lots of tests don't run with a real node so
they don't *have* a node name at all. To support multiple nodes in the
same JVM tests suss out the node name from the thread name which works
surprisingly well and easy to test in a nice way. For those threads
that are not part of an `ESIntegTestCase` node we stick whatever useful
information we can get form the thread name in the place of the node
name. This allows us to keep the logger format consistent.
In the HL REST client we replace the License object with a string, because of
complexity of this class. It is also not really needed on the client side since
end-users are not interacting with the license besides passing it as a string
to the server.
Relates #29827
This adds the ERR metric to the provided xContent parsers in the module and the
high level rest client registry. Also adding integration tests to make sure the
metric is correctly registered and usable from the client.
The notion of "quality" is an overloaded term in the search ranking evaluation
context. Its usually used to decribe certain levels of "good" vs. "bad" of a
seach result with respect to the users information need. We currently report the
result of the ranking evaluation as `quality_level` which is a bit missleading.
This changes the response parameter name to `metric_score` which fits better.
Currently the ranking evaluation response contains a 'unknown_docs' section
for each search use case in the evaluation set. It contains document ids for
results in the search hits that currently don't have a quality rating.
This change renames it to `unrated_docs`, which better reflects its purpose.
Relates #29827
This implementation behaves like the current transport client, that you basically cannot configure a Watch POJO representation as an argument to the put watch API, but only a bytes reference. You can use the the `WatchSourceBuilder` from the `org.elasticsearch.plugin:x-pack-core` dependency to build watches.
This commit also changes the license type to trial, so that watcher is available in high level rest client tests.
/cc @hub-cap
* Detect and prevent configuration that triggers a Gradle bug
As we found in #31862, this can lead to a lot of wasted time as it's not
immediatly obvius what's going on.
Givent how many projects we have it's getting increasingly easier to run
into gradle/gradle#847.
Moves the customizations to the build to produce nice shadow jars and
javadocs into common build code, mostly BuildPlugin with a little into
the root build.gradle file. This means that any project that applies the
shadow plugin will automatically be set up just like the high level rest
client:
* The non-shadow jar will not be built
* The shadow jar will not have a "classifier"
* Tests will run against the shadow jar
* Javadoc will include all of the shadowed classes
* Service files in `META-INF/services` will be merged
We have been encountering name mismatches between API defined in our
REST spec and method names that have been added to the high-level REST
client. We should check this automatically to prevent furher mismatches,
and correct all the current ones.
This commit adds a test for this and corrects the issues found by it.
Ensure our tests can run in a FIPS JVM
JKS keystores cannot be used in a FIPS JVM as attempting to use one
in order to init a KeyManagerFactory or a TrustManagerFactory is not
allowed.( JKS keystore algorithms for private key encryption are not
FIPS 140 approved)
This commit replaces JKS keystores in our tests with the
corresponding PEM encoded key and certificates both for key and trust
configurations.
Whenever it's not possible to refactor the test, i.e. when we are
testing that we can load a JKS keystore, etc. we attempt to
mute the test when we are running in FIPS 140 JVM. Testing for the
JVM is naive and is based on the name of the security provider as
we would control the testing infrastrtucture and so this would be
reliable enough.
Other cases of tests being muted are the ones that involve custom
TrustStoreManagers or KeyStoreManagers, null TLS Ciphers and the
SAMLAuthneticator class as we cannot sign XML documents in the
way we were doing. SAMLAuthenticator tests in a FIPS JVM can be
reenabled with precomputed and signed SAML messages at a later stage.
IT will be covered in a subsequent PR
There have been changes in error messages for `SSLHandshakeException`.
This has caused a couple of failures in our tests.
This commit modifies test verification to assert on exception type of
class `SSLHandshakeException`.
There was another issue in Java11 which caused NPE. The bug has now
been fixed on Java11 - early access build 22.
Bug Ref: https://bugs.java.com/bugdatabase/view_bug.do?bug_id=8206355
Enable the skipped tests due to this bug.
Closes#31940
Java 11 seems to get more verbose on the ClassCastException we check for in
SearchDocumentationIT. This changes the test from asserting the exact exception
message to only checking the two classes involved are part of the message.
Closes#32029
Make SnapshotInfo and CreateSnapshotResponse parsers lenient for backwards compatibility. Remove extraneous fields from CreateSnapshotRequest toXContent.
* Adds a new auto-interval date histogram
This change adds a new type of histogram aggregation called `auto_date_histogram` where you can specify the target number of buckets you require and it will find an appropriate interval for the returned buckets. The aggregation works by first collecting documents in buckets at second interval, when it has created more than the target number of buckets it merges these buckets into minute interval bucket and continues collecting until it reaches the target number of buckets again. It will keep merging buckets when it exceeds the target until either collection is finished or the highest interval (currently years) is reached. A similar process happens at reduce time.
This aggregation intentionally does not support min_doc_count, offest and extended_bounds to keep the already complex logic from becoming more complex. The aggregation accepts sub-aggregations but will always operate in `breadth_first` mode deferring the computation of sub-aggregations until the final buckets from the shard are known. min_doc_count is effectively hard-coded to zero meaning that we will insert empty buckets where necessary.
Closes#9572
* Adds documentation
* Added sub aggregator test
* Fixes failing docs test
* Brings branch up to date with master changes
* trying to get tests to pass again
* Fixes multiBucketConsumer accounting
* Collects more buckets than needed on shards
This gives us more options at reduce time in terms of how we do the
final merge of the buckeets to produce the final result
* Revert "Collects more buckets than needed on shards"
This reverts commit 993c782d117892af9a3c86a51921cdee630a3ac5.
* Adds ability to merge within a rounding
* Fixes nonn-timezone doc test failure
* Fix time zone tests
* iterates on tests
* Adds test case and documentation changes
Added some notes in the documentation about the intervals that can bbe
returned.
Also added a test case that utilises the merging of conseecutive buckets
* Fixes performance bug
The bug meant that getAppropriate rounding look a huge amount of time
if the range of the data was large but also sparsely populated. In
these situations the rounding would be very low so iterating through
the rounding values from the min key to the max keey look a long time
(~120 seconds in one test).
The solution is to add a rough estimate first which chooses the
rounding based just on the long values of the min and max keeys alone
but selects the rounding one lower than the one it thinks is
appropriate so the accurate method can choose the final rounding taking
into account the fact that intervals are not always fixed length.
Thee commit also adds more tests
* Changes to only do complex reduction on final reduce
* merge latest with master
* correct tests and add a new test case for 10k buckets
* refactor to perform bucket number check in innerBuild
* correctly derive bucket setting, update tests to increase bucket threshold
* fix checkstyle
* address code review comments
* add documentation for default buckets
* fix typo
This commit adds the _xpack/usage api to the high level rest client.
Currently in the transport api, the usage data is exposed in a limited
fashion, at most giving one level of helper methods for the inner keys
of data, but then exposing thos subobjects as maps of objects. Rather
than making parsers for every set of usage data from each feature, this
PR exposes the entire set of usage data as a map of maps.
Benjamin Trent
Nik Everett
Dimitris Athanasiou
markharwood
Lee Hinman
David Roberts
Andy Bristol
Yannick Welsch
Luca Cavanna
Ryan Ernst
Armin Braun
Igor Motov
Michael Basnight
Colin Goodheart-Smithe
Daniel Mitterdorfer
Christoph Büscher
Alexander Reelsen
Alpar Torok
Ioannis Kakavas
Yogesh Gaikwad
Jack Conradson
Martijn van Groningen
James Baiera