Added an api that allows to execute an arbitrary script and a result to be returned.
```
POST /_scripts/painless/_execute
{
"script": {
"source": "params.var1 / params.var2",
"params": {
"var1": 1,
"var2": 1
}
}
}
```
Relates to #27875
Now that single-document indexing requests are executed on the bulk
thread pool the index thread pool is no longer needed. This commit
removes this thread pool from Elasticsearch.
This commit add the `include_type_name` option to the `index`, `update`,
`delete`, `get`, `bulk` and `search` APIs. When set to `false`, the response
will omit the `_type` in the response. This option doesn't work if the endpoint
contains a type. For instance, the following call would succeed:
```
GET index/_doc/1?include_type_name=false
```
But the following one would fail:
```
GET index/some_type/1?include_type_name=false
```
Relates #15613
CRUD: Parsing changes for UpdateRequest (#29293)
Use `ObjectParser` to parse `UpdateRequest` so we reject unknown fields
and drop support for the `_fields` parameter because it was deprecated
in 5.x.
Unlike the `indices.create`, `indices.get_mapping` and `indices.put_mapping`
APIs, the index APIs do not need the `include_type_name` option, they can work
work with and without types withouth knowing whether types are being used.
Internally, `_doc` is used as a type if no type is provided, like for the
`indices.put_mapping` API.
Currently, a flush stats contains only the total flush which is the sum
of manual flush (via API) and periodic flush (async triggered when the
uncommitted translog size is exceeded the flush threshold). Sometimes,
it's useful to know these two numbers independently. This commit tracks
and returns a periodic flush count in a flush stats.
This adds an `include_type_name` option to the `indices.create`,
`indices.get_mapping` and `indices.put_mapping` APIs, which defaults to `true`.
When set to `false`, then mappings will be returned directly in the body of
the `indices.get_mapping` API, without keying them by the type name, the
`indices.create` will expect mappings directly under the `mappings` key, and
the `indices.put_mapping` will use `_doc` as a type name and fail if a `type`
is provided explicitly.
Relates #15613
Some features have been deprecated since `6.0` like the `_parent` field or the
ability to have multiple types per index. This allows to remove quite some
code, which in-turn will hopefully make it easier to proceed with the removal
of types.
* Move ObjectParser into the x-content lib
This moves `ObjectParser`, `AbstractObjectParser`, and
`ConstructingObjectParser` into the libs/x-content dependency. This decoupling
allows them to be used for parsing for projects that don't want to depend on the
entire Elasticsearch jar.
Relates to #28504
Currently the ranking evaluation API doesn't support many of the
standard parameters of the search API. Some of these make sense, like
adding support for the common indices options parameters, which this
change adds.
Today we report thread pool info using a common object. This means that
we use a shared set of terminology that is not consistent with the
terminology used to the configure thread pools. This holds in particular
for the minimum and maximum number of threads in the thread pool where
we use the following terminology:
thread pool info | fixed | scaling
min core size
max max size
A previous change addressed this for the nodes info API. This commit
changes the display of thread pool info in the cat thread pool API too
to be dependent on the type of the thread pool so that we can align the
terminology in the output of thread pool info with the terminology used
to configure a thread pool.
Some source files seem to have the execute bit (a+x) set, which doesn't
really seem to hurt but is a bit odd. This change removes those, making
the permissions similar to other source files in the repository.
This change refactors the composite aggregation to add an execution mode that visits documents in the order of the values
present in the leading source of the composite definition. This mode does not need to visit all documents since it can early terminate
the collection when the leading source value is greater than the lowest value in the queue.
Instead of collecting the documents in the order of their doc_id, this mode uses the inverted lists (or the bkd tree for numerics) to collect documents
in the order of the values present in the leading source.
For instance the following aggregation:
```
"composite" : {
"sources" : [
{ "value1": { "terms" : { "field": "timestamp", "order": "asc" } } }
],
"size": 10
}
```
... can use the field `timestamp` to collect the documents with the 10 lowest values for the field instead of visiting all documents.
For composite aggregation with more than one source the execution can early terminate as soon as one of the 10 lowest values produces enough
composite buckets. For instance if visiting the first two lowest timestamp created 10 composite buckets we can early terminate the collection since it
is guaranteed that the third lowest timestamp cannot create a composite key that compares lower than the one already visited.
This mode can execute iff:
* The leading source in the composite definition uses an indexed field of type `date` (works also with `date_histogram` source), `integer`, `long` or `keyword`.
* The query is a match_all query or a range query over the field that is used as the leading source in the composite definition.
* The sort order of the leading source is the natural order (ascending since postings and numerics are sorted in ascending order only).
If these conditions are not met this aggregation visits each document like any other agg.
By the time the master branch is released the deprecated url
parameters in the `/_cache/clear` API will have been deprecated
for a couple of minor releases. Since master will be the next
major release we are fine with removing these parameters.
* Add a REST integration test that documents date_range support
Add a test case that exercises date_range aggregations using the missing
option.
Addresses #17597
* Test cleanup and correction
Adding a document with a null date to exercise `missing` option, update
test name to something reasonable.
* Update documentation to explain how the "missing" parameter works for
date_range aggregations.
* Wrap lines at 80 chars in docs.
* Change format of test to YAML for readability.
This reverts commit f057fc294a.
The rescorer does not resort the collapsed values inside the top docs
during rescoring. For this reason the Lucene rescorer is not compatible
with collapsing.
Relates #27243
* Reject regex search if regex string is too long (#28344)
* Add docs
* Introduce index level setting `index.max_regex_length`
to control the maximum length of the regular expression
Closes#28344
We added a rest test for the translog last modified age without a
version check. This causes BWC failed because the stats are not
available in the old versions.
Relates #28613
Currently the Translog constructor is capable both of opening an existing translog and creating a
new one (deleting existing files). This PR separates these two into separate code paths. The
constructors opens files and a dedicated static methods creates an empty translog.
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 adds the ability to index term prefixes into a hidden subfield, enabling prefix queries to be run without multitermquery rewrites. The subfield reuses the analysis chain of its parent text field, appending an EdgeNGramTokenFilter. It can be configured with minimum and maximum ngram lengths. Query terms with lengths outside this min-max range fall back to using prefix queries against the parent text field.
The mapping looks like this:
"my_text_field" : {
"type" : "text",
"analyzer" : "english",
"index_prefix" : { "min_chars" : 1, "max_chars" : 10 }
}
Relates to #27049
This change adds the `after_key` of a composite aggregation directly in the response.
It is redundant when all buckets are not filtered/removed by a pipeline aggregation since in this case the `after_key` is always the last bucket
in the response. Though when using a pipeline aggregation to filter composite buckets, the `after_key` can be lost if the last bucket is filtered.
This commit fixes this situation by always returning the `after_key` in a dedicated section.