The recent addition of the _cluster/settings API was merged together with another change that added encoding of the different URL parts. That broke the cluster PUT settings API straight-away. This commit fixes this problem. The '/' that's part of the /_cluster/settings endpoint should not be encoded.
The REST high-level client supports now encoding of path parts, so that for instance documents with valid ids, but containing characters that need to be encoded as part of urls (`#` etc.), are properly supported. We also make sure that each path part can contain `/` by encoding them properly too.
Closes#28625
* Move to non-deprecated XContentHelper.createParser(...)
This moves away from one of the now-deprecated XContentHelper.createParser
methods in favor of specifying the deprecation logger at parser creation time.
Relates to #28449
Note that this doesn't move all the `createParser` calls because some of them
use the already-deprecated method that doesn't specify the XContentType.
* Remove the deprecated (and now non-needed) createParser method
* [DOCS] expand examples on providing mappings for create index and put mapping
The create index API and put mappings API docs the for high-level Java REST client didn't have a lot of info on how to provide mappings. This commit adds some examples.
This commit splits the async execution documentation into 2 parts, one
for the async method itself and one for the action listener. This allows
to add more doc and to use CountDownLatches in doc tests to wait for
asynchronous operations to be completed before moving to the next test.
It also renames few files.
Related to #28457
Similarly to other documentation tests in the high level client, the
asynchronous operation like update, index or delete can make the test
fail if it sneak in between the middle of another operation.
This commit moves the async doc tests to be the last ones executed and
adds assert busy loops to ensure that the asynchronous operations are
correctly terminated.
closes#28446
Adds allow_partial_search_results flag to search requests with default setting = true.
When false, will error if search either timeouts, has partial errors or has missing shards rather
than returning partial search results. A cluster-level setting provides a default for search requests with no flag.
Closes#27435
This change adds support for the new ranking evaluation API to the High Level Rest Client.
This mostly means adding support for parsing the various response objects back from the
REST representation. It includes one change to the response syntax where previously we didn't
print the type of the metric details section but we now need it to pick the right parser to
parse this section back.
Closes#28198
Script fields can get a bit more complicated than just stored fields. A script can return null, an object and also an array. Extended parsing to support such valid values. Also renamed util method from `parseStoredFieldsValue` to `parseFieldsValue` given that it can parse stored fields but also script fields, anything that's returned as `fields`.
Closes#28380
It has been pointed out that GET with body may cause problems to some proxies. We are then switching to POST the API that retrieve info and support a request body.
Closes#28326
The search request body can never be null as `SearchRequest` doesn't allow the inner `SearchSourceBuilder` to be null. Instead, when search source is not set, the request body is going to be an empty json object (`{}``)
Today, the way to call them API under the indices namespace is by doing e.g. `client.indices().createIndex()`. Our spec define the API under the indices namespace as e.g. `indices.create`, hence there is no need to repeat the index suffix for each method as that is already defined by the namespace. Using the `index` suffix in each method was an oversight which must be corrected.
Several responses include the shards_acknowledged flag (indicating whether the
requisite number of shard copies started before the completion of the operation)
and there are two different getters used : isShardsAcknowledged() and isShardsAcked().
This PR deprecates the isShardsAcked() in favour of isShardsAcknowledged() in
CreateIndexResponse, RolloverResponse and CreateIndexClusterStateUpdateResponse.
Closes#27784
The last operation executed in IndicesClientDocumentationIT.testCreate()
is an asynchronous index creation. Because nothing waits for its
completion, on slow machines the index can sometimes be created after
the testCreate() test is finished, and it can fail the following test.
Closes#27754
This was already changed in 6.x as part of the backport of the recently added open and create index API. wait_for_active_shards can be a number but also "all", with this commit we verify that providing "all" works too.
Today we require users to prepare their indices for split operations.
Yet, we can do this automatically when an index is created which would
make the split feature a much more appealing option since it doesn't have
any 3rd party prerequisites anymore.
This change automatically sets the number of routinng shards such that
an index is guaranteed to be able to split once into twice as many shards.
The number of routing shards is scaled towards the default shard limit per index
such that indices with a smaller amount of shards can be split more often than
larger ones. For instance an index with 1 or 2 shards can be split 10x
(until it approaches 1024 shards) while an index created with 128 shards can only
be split 3x by a factor of 2. Please note this is just a default value and users
can still prepare their indices with `index.number_of_routing_shards` for custom
splitting.
NOTE: this change has an impact on the document distribution since we are changing
the hash space. Documents are still uniformly distributed across all shards but since
we are artificually changing the number of buckets in the consistent hashign space
document might be hashed into different shards compared to previous versions.
This is a 7.0 only change.
This change removes the module named aggs-composite and adds the `composite` aggs
as a core aggregation. This allows other plugins to use this new aggregation
and simplifies the integration in the HL rest client.
Today Cross Cluster Search requires at least one node in each remote cluster to be up once the cross cluster search is run. Otherwise the whole search request fails despite some of the data (either local and/or remote) is available. This happens when performing the _search/shards calls to find out which remote shards the query has to be executed on. This scenario is different from shard failures that may happen later on when the query is actually executed, in case e.g. remote shards are missing, which is not going to fail the whole request but rather yield partial results, and the _shards section in the response will indicate that.
This commit introduces a boolean setting per cluster called search.remote.$cluster_alias.skip_if_disconnected, set to false by default, which allows to skip certain clusters if they are down when trying to reach them through a cross cluster search requests. By default all clusters are mandatory.
Scroll requests support such setting too when they are first initiated (first search request with scroll parameter), but subsequent scroll rounds (_search/scroll endpoint) will fail if some of the remote clusters went down meanwhile.
The search API response contains now a new _clusters section, similar to the _shards section, that gets returned whenever one or more clusters were disconnected and got skipped:
"_clusters" : {
"total" : 3,
"successful" : 2,
"skipped" : 1
}
Such section won't be part of the response if no clusters have been skipped.
The per cluster skip_unavailable setting value has also been added to the output of the remote/info API.
Stardardize underscore requirements in parameters across different type of
requests:
_index, _type, _source, _id keep their underscores
params like version and retry_on_conflict will be without underscores
Throw an error if older versions of parameters are used
BulkRequest, MultiGetRequest, TermVectorcRequest, MoreLikeThisQuery
were changed
Closes#26886
* This change adds a module called `aggs-composite` that defines a new aggregation named `composite`.
The `composite` aggregation is a multi-buckets aggregation that creates composite buckets made of multiple sources.
The sources for each bucket can be defined as:
* A `terms` source, values are extracted from a field or a script.
* A `date_histogram` source, values are extracted from a date field and rounded to the provided interval.
This aggregation can be used to retrieve all buckets of a deeply nested aggregation by flattening the nested aggregation in composite buckets.
A composite buckets is composed of one value per source and is built for each document as the combinations of values in the provided sources.
For instance the following aggregation:
````
"test_agg": {
"terms": {
"field": "field1"
},
"aggs": {
"nested_test_agg":
"terms": {
"field": "field2"
}
}
}
````
... which retrieves the top N terms for `field1` and for each top term in `field1` the top N terms for `field2`, can be replaced by a `composite` aggregation in order to retrieve **all** the combinations of `field1`, `field2` in the matching documents:
````
"composite_agg": {
"composite": {
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
},
}
}
````
The response of the aggregation looks like this:
````
"aggregations": {
"composite_agg": {
"buckets": [
{
"key": {
"field1": "alabama",
"field2": "almanach"
},
"doc_count": 100
},
{
"key": {
"field1": "alabama",
"field2": "calendar"
},
"doc_count": 1
},
{
"key": {
"field1": "arizona",
"field2": "calendar"
},
"doc_count": 1
}
]
}
}
````
By default this aggregation returns 10 buckets sorted in ascending order of the composite key.
Pagination can be achieved by providing `after` values, the values of the composite key to aggregate after.
For instance the following aggregation will aggregate all composite keys that sorts after `arizona, calendar`:
````
"composite_agg": {
"composite": {
"after": {"field1": "alabama", "field2": "calendar"},
"size": 100,
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
}
}
}
````
This aggregation is optimized for indices that set an index sorting that match the composite source definition.
For instance the aggregation above could run faster on indices that defines an index sorting like this:
````
"settings": {
"index.sort.field": ["field1", "field2"]
}
````
In this case the `composite` aggregation can early terminate on each segment.
This aggregation also accepts multi-valued field but disables early termination for these fields even if index sorting matches the sources definition.
This is mandatory because index sorting picks only one value per document to perform the sort.
This is the first step to supporting WKT (and other future) format(s). The ShapeBuilders are quite messy and can be simplified by decoupling the parse logic from the build logic. This commit refactors the parsing logic into its own package separate from the Shape builders. It also decouples the GeoShapeType into a standalone enumerator that is responsible for validating the parsed data and providing the appropriate builder. This future-proofs the code making it easier to maintain and add new shape types.
Introduce minimal thread scheduler as a base class for `ThreadPool`. Such a class can be used from the `BulkProcessor` to schedule retries and the flush task. This allows to remove the `ThreadPool` dependency from `BulkProcessor`, which requires to provide settings that contain `node.name` and also needed log4j for logging. Instead, it needs now a `Scheduler` that is much lighter and gets automatically created and shut down on close.
Closes#26028
javanna
Luca Cavanna
olcbean
Catalin Ursachi
Lee Hinman
Haris Osmanagić
Tanguy Leroux
markharwood
Christoph Büscher
Adrien Grand
Martijn van Groningen
David Turner
Simon Willnauer
Jim Ferenczi
Mayya Sharipova
Nicholas Knize