After starting up elasticsearch the documentation said that their node
name was "6-bjhwl" but in the documentation's output I did not see that
node name. Instead I saw the node name as `localhost.localdomain`
Two new settings were introduced in #43669 to control the
behaviour of the Document Level Security BitSet cache.
This change adds documentation for these 2 settings.
Backport of: #44100
* HLRC: Fix '+' Not Correctly Encoded in GET Req.
* Encode `+` correctly as `%2B` in URL paths
* Keep encoding `+` as space in URL parameters
* Closes#33077
This commit documents the backup and restore of a cluster's
security configuration.
It is not possible to only backup (or only restore) security
configuration, independent to the rest of the cluster's conf,
so this describes how a full configuration backup&restore
will include security as well. Moreover, it explains how part
of the security conf data resides on the special .security
index and how to backup that using regular data snapshot API.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
Co-Authored-By: Tim Vernum <tim@adjective.org>
Previously a data frame transform would check whether the
source index was changed every 10 seconds. Sometimes it
may be desirable for the check to be done less frequently.
This commit increases the default to 60 seconds but also
allows the frequency to be overridden by a setting in the
data frame transform config.
* Provide an Option to Use Path-Style-Access with S3 Repo
* As discussed, added the option to use path style access back again and
deprecated it.
* Defaulted to `false`
* Added warning to docs
* Closes#41816
Currently when a document misses a vector value, vector function
returns 0 as a score for this document. We think this is incorrect
behaviour.
With this change, an error will be thrown if vector functions are
used with docs that are missing vector doc values.
Also VectorScriptDocValues is modified to allow size() function,
which can be used to check if a document has a value for the
vector field.
This PR adds the reference documentation pages of the data frame analytics APIs (PUT, START, STOP, GET, GET stats, DELETE, Evaluate) to the ML APIs pool.