Commit Graph

7 Commits

Author SHA1 Message Date
James Rodewig 5a2c6f0d4f
[DOCS] http -> https, remove outdated plugin docs (#60380) (#60545)
Plugin discovery documentation contained information about installing
Elasticsearch 2.0 and installing an oracle JDK, both of which is no
longer valid.

While noticing that the instructions used cleartext HTTP to install
packages, this commit replaces HTTPs links instead of HTTP where possible.

In addition a few community links have been removed, as they do not seem
to exist anymore.

Co-authored-by: Alexander Reelsen <alexander@reelsen.net>
2020-07-31 16:16:31 -04:00
Florian Kelbert 25f69547d9 [DOCS] Fix typo in rank feature query docs (#57401) 2020-06-01 08:42:45 -04:00
James Rodewig e253ee6ba6
[DOCS] Change // CONSOLE comments to [source,console] (#46440) (#46494) 2019-09-09 12:35:50 -04:00
James Rodewig 3c4150cf72 [DOCS] Reformat rank feature query. Add relevance score section. (#44975) 2019-07-31 14:31:50 -04:00
James Rodewig 661f70183e [DOCS] Make Query DSL titles consistent (#43935) 2019-07-18 10:33:10 -04:00
Jim Ferenczi 787acb14b9
Track total hits up to 10,000 by default (#37466)
This commit changes the default for the `track_total_hits` option of the search request
to `10,000`. This means that by default search requests will accurately track the total hit count
up to `10,000` documents, requests that match more than this value will set the `"total.relation"`
to `"gte"` (e.g. greater than or equals) and the `"total.value"` to `10,000` in the search response.
Scroll queries are not impacted, they will continue to count the total hits accurately.
The default is set back to `true` (accurate hit count) if `rest_total_hits_as_int` is set in the search request.
I choose `10,000` as the default because that's also the number we use to limit pagination. This means that users will be able to know how far they can jump (up to 10,000) even if the total number of hits is not accurate.

Closes #33028
2019-01-25 13:45:39 +01:00
Mayya Sharipova a30ce6a00a
Rename feature, feature_vector and feature_query (#37794)
Ranaming as follows:
feature -> rank_feature
feature_vector -> rank_features
feature query -> rank_feature query

Ranaming is done to distinguish from other vector types.

Closes #36723
2019-01-24 19:18:48 -05:00