* 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
Request class is currently package protected, making it difficult for
the users to extend the RestHighLevelClient and to use its protected
methods to execute requests. This commit makes the Request class public
and changes few methods of RestHighLevelClient to be protected.
It's easy to create a wrong Content-Type header when converting a
XContentType to a Apache HTTP ContentType instance.
This commit the direct usages of ContentType.create() methods in favor of a Request.createContentType(XContentType) method that does the right thing.
Closes#26438
At current, we do not feel there is enough of a reason to shade the low
level rest client. It caused problems with commons logging and IDE's
during the brief time it was used. We did not know exactly how many
users will need this, and decided that leaving shading out until we
gather more information is best. Users can still shade the jar
themselves. For information and feeback, see issue #26366.
Closes#26328
This reverts commit 3a20922046.
This reverts commit 2c271f0f22.
This reverts commit 9d10dbea39.
This reverts commit e816ef89a2.
The parser for the `ip_range` aggregation response is currently missing from the
NamedXContentRegistry in the high level rest client. Also changes the testing
around the expected number of parsers so we at least check that we register all
the parsers that we also test in InternalAggregationTestCase.
By making RestHighLevelClient Closeable, its close method will close the internal low-level REST client instance by default, which simplifies the way most users interact with the high-level client.
Its constructor accepts now a RestClientBuilder, which clarifies that the low-level REST client is internally created and managed.
It is still possible to provide an already built `RestClient` instance, but that can only be done by subclassing `RestHighLevelClient` and calling the protected constructor that accepts a `RestClient`. In such case a consumer has also to be provided, which controls what has to be done when the high-level client gets done.
Closes#26086
This commit removes all external dependencies from the rest client jar
and shades them in an 'org.elasticsearch.client' package within the jar
using shadowJar gradle plugin. All projects that depended on the
existing jar have been converted to using the 'org.elasticsearch.client'
package prefixes to interact with the rest client.
Closes#25208
We currently use fielddata on the `_id` field which is trappy, especially as we
do it implicitly. This changes the `random_score` function to use doc ids when
no seed is provided and to suggest a field when a seed is provided.
For now the change only emits a deprecation warning when no field is supplied
but this should be replaced by a strict check on 7.0.
Closes#25240
This adds a section about how to add aggregations to the SearchSourceBuilder and how
to retrieve them from a SearchRepsonse to the documentation for the high level rest client.
It was brought up that our current client artifacts have generic names like 'rest' that may cause conflicts with other artifacts.
This commit renames:
- rest -> elasticsearch-rest-client
- sniffer -> elasticsearch-rest-client-sniffer
- rest-high-level -> elasticsearch-rest-high-level-client
A couple of small changes are also preparing the high level client for its first release.
Closes#20248
Today if we search across a large amount of shards we hit every shard. Yet, it's quite
common to search across an index pattern for time based indices but filtering will exclude
all results outside a certain time range ie. `now-3d`. While the search can potentially hit
hundreds of shards the majority of the shards might yield 0 results since there is not document
that is within this date range. Kibana for instance does this regularly but used `_field_stats`
to optimize the indexes they need to query. Now with the deprecation of `_field_stats` and it's upcoming removal a single dashboard in kibana can potentially turn into searches hitting hundreds or thousands of shards and that can easily cause search rejections even though the most of the requests are very likely super cheap and only need a query rewriting to early terminate with 0 results.
This change adds a pre-filter phase for searches that can, if the number of shards are higher than a the `pre_filter_shard_size` threshold (defaults to 128 shards), fan out to the shards
and check if the query can potentially match any documents at all. While false positives are possible, a negative response means that no matches are possible. These requests are not subject to rejection and can greatly reduce the number of shards a request needs to hit. The approach here is preferable to the kibana approach with field stats since it correctly handles aliases and uses the correct threadpools to execute these requests. Further it's completely transparent to the user and improves scalability of elasticsearch in general on large clusters.
Requests that execute a stored script will no longer be allowed to specify the lang of the script. This information is stored in the cluster state making only an id necessary to execute against. Putting a stored script will still require a lang.
This change collapses some of the packages for the bucket aggregations into their parent packages. This was done for the following aggregations:
* The variants of the range aggregation (geo_distance, date and ip) were moved into the `o.e.s.a.bucket.range` package
* The `o.e.s.a.bucket.terms.support` package was removed and the classes were moved to `o.e.s.a.bucket.terms`
* The filter aggregation was moved to `o.e.s.a.bucket.filter`
Since this PR is already relatively large with only the above changes subsequent PRs will do similar operations on relevant metric and pipeline aggregations
Relates to #22868
This commit changes the parsing logic of DocWriteResponse, ReplicationResponse
and GetResult so that it skips any unknown additional fields (for forward compatibility
reasons). This affects the IndexResponse, UpdateResponse,DeleteResponse and
GetResponse objects.
This commit adds a NamedXContentProvider interface that can
be implemented by plugins or modules using Java's SPI feature
in order to provide additional NamedXContent parsers to external
applications like the Java High Level Rest Client.
Some response classes in the java api expose both `getTook()` which returns a `TimeValue` and `getTookInMillis` which returns a `long` value. `getTook()` is enough as one can do `getTook().millis()` to obtain the same result as `getTookInMillis()`, which can be removed.
Currently a `delete document` request against a non-existing index actually **creates** this index.
With this change the `delete document` no longer creates the previously non-existing index and throws an `index_not_found` exception instead.
However as discussed in https://github.com/elastic/elasticsearch/pull/15451#issuecomment-165772026, if an external version is explicitly used, the current behavior is preserved and the index is still created and the document is marked for deletion.
Fixes#15425
* Add parent-join module
This change adds a new module named `parent-join`.
The goal of this module is to provide a replacement for the `_parent` field but as a first step this change only moves the `has_child`, `has_parent` queries and the `children` aggregation to this module.
These queries and aggregations are no longer in core but they are deployed by default as a module.
Relates #20257
We've had `QueryDSLDocumentationTests` for a while but it had a very
hopeful comment at the top about how we want to make sure that the
example in the query-dsl docs match up with the test but we never
had anything that made *sure* that they did. This changes that!
Now the examples from the query-dsl docs are all built from the
`QueryDSLDocumentationTests`. All except for the percolator example
because that is hard to do as it stands now.
To make this easier this change moves `QueryDSLDocumentationTests`
from core and into the high level rest client. This is useful for
two reasons:
1. We expect the high level rest client to be able to use the builders.
2. The code that builds that docs doesn't check out all of
Elasticsearch. It only checks out certain directories. Since we're
already including snippets from that directory we don't have to
make any changes to that process.
Closes#24320
The one argument ctor for `Script` creates a script with the
default language but most usages of are for testing and either
don't care about the language or are for use with
`MockScriptEngine`. This replaces most usages of the one argument
ctor on `Script` with calls to `ESTestCase#mockScript` to make
it clear that the tests don't need the default scripting language.
I've also factored out some copy and pasted script generation
code into a single place. I would have had to change that code
to use `mockScript` anyway, so it was easier to perform the
refactor.
Relates to #16314
When indexing a document via the bulk API where IDs can be explicitly
specified, we currently accept an empty ID. This is problematic because
such a document can not be obtained via the get API. Instead, we should
rejected these requets as accepting them could be a dangerous form of
leniency. Additionally, we already have a way of specifying
auto-generated IDs and that is to not explicitly specify an ID so we do
not need a second way. This commit rejects the individual requests where
ID is specified but empty.
Relates #24118
This commit modifies the BulkProcessor to be decoupled from the
client implementation. Instead it just takes a
BiConsumer<BulkRequest, ActionListener<BulkResponse>> that executes
the BulkRequest.
This commit renames the random ASCII helper methods in ESTestCase. This
is because this method ultimately uses the random ASCII methods from
randomized runner, but these methods actually only produce random
strings generated from [a-zA-Z].
Relates #23886
Today the status is lost when parsing back a BulkItemResponse.Failure. This commit changes the BulkItemResponse.Failure parsing method so that it correctly instantiates a failure with the parsed status instead of realying on the parsed ElasticsearchException (that always return an internal server error status).
This commit adds support for an info() method to the High Level Rest
client that returns the cluster information usually obtained by performing a
`GET hostname:9200` request.
NamedXContentRegistry will be used by the high level REST client to parse aggregation responses, and any section whose class type depends on a json key. There are currently on entries in the standard registry, but soon aggs and most likely suggesters will be added. Also it is possible for subclasses to provide additional named xcontent parsers.
This commit enforces the requirement of Content-Type for the REST layer and removes the deprecated methods in transport
requests and their usages.
While doing this, it turns out that there are many places where *Entity classes are used from the apache http client
libraries and many of these usages did not specify the content type. The methods that do not specify a content type
explicitly have been added to forbidden apis to prevent more of these from entering our code base.
Relates #19388
A previous change aligned the handling of the GET document and HEAD
document APIs. This commit aligns the specification for these two APIs
as well, and fixes a failing test.
Relates #23196
This commit adds support for get and exists api to the high level Java Rest Client. It also adds the infrastructure for other methods to be added in the future.
The RestHighLevelClient class takes as as an argument a low level client instance RestClient. The first method added is ping, which returns true if the call to HEAD / went ok and false if an IOException was thrown. Any other exception gets bubbled up.
There are two kinds of tests, a unit test (RestHighLevelClientTests) that verifies the interaction between high level and low level client, and an integration test (MainActionIT) which relies on an externally started es cluster to send requests to.
Jim Ferenczi
Nicholas Knize
Luca Cavanna
Catalin Ursachi
Tanguy Leroux
Michael Basnight
Christoph Büscher
Marco Monaco
desmorto
javanna
Adrien Grand
Martijn van Groningen
Simon Willnauer
Jack Conradson
Colin Goodheart-Smithe
Drew Raines
Nik Everett
olcbean
Ryan Ernst
Jason Tedor
Tim Brooks
David Pilato
Jay Modi