Surprise! You can use sliced scroll to easily parallelize reindex
and friend. They support it because they use the same infrastructure
as a regular search to parse the search request. While we would like
to make an "automatic" option for parallelizing reindex, this manual
option works right now and is pretty convenient!
We can now run templates using `explain` and/or `profile` parameters.
Which is interesting when you have defined a complicated profile but want to debug it in an easier way than running the full query again.
You can use `explain` parameter when running a template:
```js
GET /_search/template
{
"file": "my_template",
"params": {
"status": [ "pending", "published" ]
},
"explain": true
}
```
You can use `profile` parameter when running a template:
```js
GET /_search/template
{
"file": "my_template",
"params": {
"status": [ "pending", "published" ]
},
"profile": true
}
```
`profile.asciidoc` now runs all of its command but it doesn't validate
all of the results. Writing the validation is time consuming so I only
did some of it.
* Update rescoring docs in respect to sort
If sort is present in a query the rescore query is not executed. As long as this feature is neither implemented (see discussion in #6788) nor the combination of sort and rescoring raises an error, we should warn the user in the documentation about this.
* Missed a dot
With the cut over to LatLonPoint the geohash, geohash_precision, lat_lon, and geohash_prefix parameters have been removed. This commit fixes the doc build by removing the remaining dangling references to these removed parameters.
This change replaces the fields parameter with stored_fields when it makes sense.
This is dictated by the renaming we made in #18943 for the search API.
The following list of endpoint has been changed to use `stored_fields` instead of `fields`:
* get
* mget
* explain
The documentation and the rest API spec has been updated to cope with the changes for the following APIs:
* delete_by_query
* get
* mget
* explain
The `fields` parameter has been deprecated for the following APIs (it is replaced by _source filtering):
* update: the fields are extracted from the _source directly.
* bulk: the fields parameter is used but fields are extracted from the source directly so it is allowed to have non-stored fields.
Some APIs still have the `fields` parameter for various reasons:
* cat.fielddata: the fields paramaters relates to the fielddata fields that should be printed.
* indices.clear_cache: used to indicate which fielddata fields should be cleared.
* indices.get_field_mapping: used to filter fields in the mapping.
* indices.stats: get stats on fields (stored or not stored).
* termvectors: fields are retrieved from the stored fields if possible and extracted from the _source otherwise.
* mtermvectors:
* nodes.stats: the fields parameter is used to concatenate completion_fields and fielddata_fields so it's not related to stored_fields at all.
Fixes#20155
Add docs to template support for _msearch
Relates to #10885
Relates to #15674
* Reference those docs from the rest api spec for _msearch/template support.
and be much more stingy about what we consider a console candidate.
* Add `// CONSOLE` to check-running
* Fix version in some snippets
* Mark groovy snippets as groovy
* Fix versions in plugins
* Fix language marker errors
* Fix language parsing in snippets
This adds support for snippets who's language is written like
`[source, txt]` and `["source","js",subs="attributes,callouts"]`.
This also makes language required for snippets which is nice because
then we can be sure we can grep for snippets in a particular language.
This change adds a special field named _none_ that allows to disable the retrieval of the stored fields in a search request or in a TopHitsAggregation.
To completely disable stored fields retrieval (including disabling metadata fields retrieval such as _id or _type) use _none_ like this:
````
POST _search
{
"stored_fields": "_none_"
}
````
Currently both `PUT` and `POST` can be used to create indices. This commit
removes support for `POST index_name` so that we can use it to index documents
with auto-generated ids once types are removed.
Relates #15613
The payload option was introduced with the new completion
suggester implementation in v5, as a stop gap solution
to return additional metadata with suggestions.
Now we can return associated documents with suggestions
(#19536) through fetch phase using stored field (_source).
The additional fetch phase ensures that we only fetch
the _source for the global top-N suggestions instead of
fetching _source of top results for each shard.
This commit enables completion suggester to return documents
associated with suggestions. Now the document source is returned
with every suggestion, which respects source filtering options.
In case of suggest queries spanning more than one shard, the
suggest is executed in two phases, where the last phase fetches
the relevant documents from shards, implying executing suggest
requests against a single shard is more performant due to the
document fetch overhead when the suggest spans multiple shards.
Adds `warnings` syntax to the yaml test that allows you to expect
a `Warning` header that looks like:
```
- do:
warnings:
- '[index] is deprecated'
- quotes are not required because yaml
- but this argument is always a list, never a single string
- no matter how many warnings you expect
get:
index: test
type: test
id: 1
```
These are accessible from the docs with:
```
// TEST[warning:some warning]
```
This should help to force you to update the docs if you deprecate
something. You *must* add the warnings marker to the docs or the build
will fail. While you are there you *should* update the docs to add
deprecation warnings visible in the rendered results.
Invocation counts can be used to help judge the selectivity of individual query components in the context of the entire query. E.g. a query may not look selective when run by itself (matches most of the index), but when run in context of a full search request, is evaluated only rarely due to execution order
Since this is modifying the base timing class, it'll enrich both query and agg profiles (as well as future profile results)
Rename `fields` to `stored_fields` and add `docvalue_fields`
`stored_fields` parameter will no longer try to retrieve fields from the _source but will only return stored fields.
`fields` will throw an exception if the user uses it.
Add `docvalue_fields` as an adjunct to `fielddata_fields` which is deprecated. `docvalue_fields` will try to load the value from the docvalue and fallback to fielddata cache if docvalues are not enabled on that field.
Closes#18943
This pull request adds two util functions to the Mustache templating engine:
- {{#toJson}}my_map{{/toJson}} to render a Map parameter as a JSON string
- {{#join}}my_iterable{{/join}} to render any iterable (including arrays) as a comma separated list of values like `1, 2, 3`. It's also possible de change the default delimiter (comma) to something else.
closes#18970
This commit moves template support out of the Search API to its own dedicated Search Template API in the lang-mustache module. It provides a new SearchTemplateAction that can be used to render templates before it gets delegated to the usual Search API. The current REST endpoint are identical, but the Render Search Template endpoint now uses the same Search Template API with a new "simulate" option. When this option is enabled, the Search Template API only renders template and returns immediatly, without executing the search.
Closes#17906
`stored_fields` parameter will no longer try to retrieve fields from the _source but will only return stored fields.
`fields` will throw an exception if the user uses it.
Add `docvalue_fields` as an adjunct to `fielddata_fields` which is deprecated. `docvalue_fields` will try to load the value from the docvalue and fallback to fielddata cache if docvalues are not enabled on that field.
Closes#18943
This commit removes the search preference _only_node as the same
functionality can be obtained by using the search preference
_only_nodes. This commit also adds a test that ensures that _only_nodes
will continue to support specifying node IDs.
Relates #18875
The search preference _prefer_node allows specifying a single node to
prefer when routing a request. This functionality can be enhanced by
permitting multiple nodes to be preferred. This commit replaces the
search preference _prefer_node with the search preference _prefer_nodes
which supplants the former by specifying a single node and otherwise
adds functionality.
Relates #18872
By default the number of searches msearch executes is capped by the number of
nodes multiplied with the default size of the search threadpool. This default can be
overwritten by using the newly added `max_concurrent_searches` parameter.
Before the msearch api would concurrently execute all searches concurrently. If many large
msearch requests would be executed this could lead to some searches being rejected
while other searches in the msearch request would succeed.
The goal of this change is to avoid this exhausting of the search TP.
Closes#17926
API:
```
curl -XGET 'localhost:9200/twitter/tweet/_search?scroll=1m' -d '{
"slice": {
"field": "_uid", <1>
"id": 0, <2>
"max": 10 <3>
},
"query": {
"match" : {
"title" : "elasticsearch"
}
}
}
```
<1> (optional) The field name used to do the slicing (_uid by default)
<2> The id of the slice
By default the splitting is done on the shards first and then locally on each shard using the _uid field
with the following formula:
`slice(doc) = floorMod(hashCode(doc._uid), max)`
For instance if the number of shards is equal to 2 and the user requested 4 slices then the slices 0 and 2 are assigned
to the first shard and the slices 1 and 3 are assigned to the second shard.
Each scroll is independent and can be processed in parallel like any scroll request.
Closes#13494
Two of the snippets in validate weren't working properly so they are
marked as skip and linked to this:
https://github.com/elastic/elasticsearch/issues/18254
We didn't properly handle empty parameter values. We were sending
them as the literal string "null". Now we do better and send them
as the empty string.
We should prevent highlighting if a field is anything but a text or keyword field.
However, someone might implement a custom field type that has text and still want to
highlight on that. We cannot know in advance if the highlighter will be able to
highlight such a field and so we do the following:
If the field is only highlighted because the field matches a wildcard we assume
it was a mistake and do not process it.
If the field was explicitly given we assume that whoever issued the query knew
what they were doing and try to highlight anyway.
closes#17537
Fix a limitation that prevent from hierarchical inner hits be defined in query dsl.
Removed the nested_path, parent_child_type and query options from inner hits dsl. These options are only set by ES
upon parsing the has_child, has_parent and nested queries are using their respective query builders.
These options are still used internally, when these options are set a new private copy is created based on the
provided InnerHitBuilder and configuring either nested_path or parent_child_type and the inner query of the query builder
being used.
Closes#11118
* Add isSearchable and isAggregatable (collapsed to true if any of the instances of that field are searchable or aggregatable).
* Accept wildcards in field names.
* Add a section named conflicts for fields with the same name but with incompatible types (instead of throwing an exception).
IMHO the original text here was incomplete. Adding the simple words 'in the index mapping' makes this sentence more clear. Perhaps a be more clear to make this a link.
Simon Willnauer
Nik Everett
David Pilato
Tobias Günther
Nicholas Knize
Jim Ferenczi
Isabel Drost-Fromm
Clinton Gormley
Areek Zillur
Josh Becker
Adrien Grand
Gytis Šk
debadair
Isabel Drost-Fromm
Zachary Tong
Colin Goodheart-Smithe
Tanguy Leroux
Robert Muir
Robert Muir
Martijn van Groningen
Jason Tedor
Alexander Lin
Vladimir Kovpak
Itamar Syn-Hershko
Britta Weber
jasonquick
Christoph Büscher
Jeff