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.