This commit adds scripting capability to significant_terms.
Custom heuristics can be implemented with a script that provides
parameters subset_freq, superset_freq,subset_size, superset_size.
closes#7850
Changed search_type docs to reflect that the `(dfs_)query_and_fetch` modes are an internal optimization and should not be specified explicitly by the user.
Relates to #9606
Removed the existing `pre_zone` and `post_zone` option in `date_histogram` in favor of
the simpler `time_zone` option. Previously, specifying different values for these could
lead to confusing scenarios where ES would return bucket keys that are not UTC.
Now `time_zone` is the only option setting, the calculation of date buckets to take place in the
preferred time zone, but after rounding converting the bucket key values back to UTC.
Closes#9062Closes#9637
Add offset option to 'date_histogram' replacing and simplifying the previous 'pre_offset' and 'post_offset' options.
This change is part of a larger clean up task for `date_histogram` from issue #9062.
We now have a very useful annotation to mark features or parameters as
experimental. Let's use it! This commit replaces some custom text warnings with
this annotation and adds this annotation to some existing features/parameters:
- inner_hits (unreleased yet)
- terminate_after (released in 1.4)
- per-bucket doc count errors in the terms agg (released in 1.4)
I also tagged with this annotation settings which should either be not needed
(like the ability to evict entries from the filter cache based on time) or that
are too deep into the way that Elasticsearch works like the Directory
implementation or merge settings.
Close#9563
These aggregations are not experimental anymore but some of their parameters
still are:
- `precision_threshold` and `rehash` on `cardinality`
- `compression` on percentiles(-ranks)
Close#9560
Histogram aggregation supports an 'offset' option to move bucket boundaries.
In a histogram with buckets of size X these can be moved from 0, X, 2X, 3X,...
by an offset value of Y to Y, X+Y, 2X+Y, 3X+Y... by using the 'offset' option.
The previous 'pre_offset' and 'post_offset' options are removed in favour of
the simplified 'offset' option.
Closes#9417Closes#9505
The `analyzer` setting is now the base setting, and `search_analyzer`
is simply an override of the search time analyzer. When setting
`search_analyzer`, `analyzer` must be set.
closes#9371
Extended_stats now displays the upper and lower bounds on standard deviations (e.g. avg +/- std).
Default is to show 2 std above/below, but can be changed using the `sigma` parameter.
Accepts non-negative doubles
Closes#9356
Inner hits allows to embed nested inner objects, children documents or the parent document that contributed to the matching of the returned search hit as inner hits, which would otherwise be hidden.
Closes#8153Closes#3022Closes#3152
This commit adds the ability to associate a bit of state with each
individual aggregation.
The aggregation response can be hard to stitch back together without
having a reference to the aggregation request. In many cases this is not
available, many json serializer frameworks cache types globally or have a
static deserialisation override mechanism. In these cases making the
original request available, if at all possible, would be a hack.
The old facets returned `_type` which was just enough metadata to know
what the originating facet type in the request was.
This PR takes `_type` one step further by introducing ANY arbitrary meta
data. This could be further <strike>ab</strike>used for instance by
generic/automated aggregations that include UI state (color information,
thresholds, user input states, etc) per aggregation.
This commit adds a new field to the response of the terms aggregation called
`sum_other_doc_count` which is equal to the sum of the doc counts of the buckets
that did not make it to the list of top buckets. It is typically useful to have
a sector called eg. `other` when using terms aggregations to build pie charts.
Example query and response:
```json
GET test/_search?search_type=count
{
"aggs": {
"colors": {
"terms": {
"field": "color",
"size": 3
}
}
}
}
```
```json
{
[...],
"aggregations": {
"colors": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 4,
"buckets": [
{
"key": "blue",
"doc_count": 65
},
{
"key": "red",
"doc_count": 14
},
{
"key": "brown",
"doc_count": 3
}
]
}
}
}
```
Close#8213
This is functionally equivalent to before, so there should be no
user-visible impact, except I added a NOTE in the docs warning about
the interaction of pagination and rescoring.
Closes#6232Closes#7707
By letting the fetch phase understand the nested docs structure we can serve nested docs as hits.
The `top_hits` aggregation can because of this commit be placed in a `nested` or `reverse_nested` aggregation.
Closes#7164
This change removes the script_type parameter form the Scripted Metric Aggregation and adds support for _file and _id suffixes to the init_script, map_script, combine_script and reduce_script parameters to make defining the source of the script consistent with the other APIs which use the ScriptService
Changes the name of the field in the scripted metrics aggregation from 'aggregation' to 'value' to be more in line with the other metrics aggregations like 'avg'
The terms aggregation can now support sorting on multiple criteria by replacing the sort object with an array or sort object whose order signifies the priority of the sort. The existing syntax for sorting on a single criteria also still works.
Contributes to #6917
Replaces #7588
The terms aggregation can now support sorting on multiple criteria by replacing the sort object with an array or sort object whose order signifies the priority of the sort. The existing syntax for sorting on a single criteria also still works.
Contributes to #6917
Aggregations are collection-wide statistics, which is incompatible with the
collection mode of search_type=SCAN since it doesn't collect all matches on
calls to the search API.
Close#7429
Aggregations are collection-wide statistics so they would always be the same.
In order to save CPU/bandwidth, we can just return them on the first page.
Same as #1642 but for aggregations.
The current implementation of 'date_histogram' does not understand
the `factor` parameter. Since the docs shouldn't raise false hopes,
I removed the section.
Closes#7277
A multi-bucket aggregation where multiple filters can be defined (each filter defines a bucket). The buckets will collect all the documents that match their associated filter.
This aggregation can be very useful when one wants to compare analytics between different criterias. It can also be accomplished using multiple definitions of the single filter aggregation, but here, the user will only need to define the sub-aggregations only once.
Closes#6118
Implements a new Exists API allowing users to do fast exists check on any matched documents for a given query.
This API should be faster then using the Count API as it will:
- early terminate the search execution once any document is found to exist
- return the response as soon as the first shard reports matched documents
closes#6995