* Initial changes for scripting.
* Shorten script examples.
* Expanding types docs.
* Updating types.
* Fixing broken cross-link.
* Fixing map error.
* Incorporating review feedback.
* Fixing broken table.
* Adding more info about reference types.
* Fixing broken path.
* Adding more info an examples for def type.
* Adding more info on operators.
* Incorporating review feedback.
* Adding notconsole for example.
* Removing comments in example.
* More review feedback.
* Editorial changes.
* Incorporating more reviewer feedback.
* Rewrites based on review feedback.
* Adding new sections for storing scripts and shortening scripts.
* Adding redirect for stored scripts.
* Adding DELETE for stored script plus link.
* Adding section for updating docs with scripts.
* Incorporating final feedback from reviews.
* Tightening up a few areas.
* Minor change around other languages.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
The docs for the geoip processor database_file option appear to indicate
that all geoip databases are in the config directory. This is leftover
legacy from when this was the case when ingest-geoip was a plugin, but
it is no longer true as the built-in databases now ship inside the
ingest-geoip module that is bundled by default. This commit clarifies
those docs.
Co-authored-by: Jakob Reiter <jakommo@users.noreply.github.com>
This adds the network property from the MaxMind Geo ASN database.
This enables analysis of IP data based on the subnets that MaxMind have
previously identified for ASN networks.
closes#60942
Changes:
* Moves "Notes" sections for the joining queries and percolate query
pages to the parent page
* Adds related redirects for the moved "Notes" pages
* Assigns explicit anchor IDs to other "Notes" headings. This was required for
the redirects to work.
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Elasticsearch 2.0 and installing an oracle JDK, both of which is no
longer valid.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.
When Joni, the regex engine that powers grok emits a warning it
does so by default to System.err. System.err logs are all bucketed
together in the server log at WARN level. When Joni emits a warning,
it can be extremely verbose, logging a message for each execution
again that pattern. For ingest node that means for every document
that is run that through Grok. Fortunately, Joni provides a call
back hook to push these warnings to a custom location.
This commit implements Joni's callback hook to push the Joni warning
to the Elasticsearch server logger (logger.org.elasticsearch.ingest.common.GrokProcessor)
at debug level. Generally these warning indicate a possible issue with
the regular expression and upon creation of the Grok processor will
do a "test run" of the expression and log the result (if any) at WARN
level. This WARN level log should only occur on pipeline creation which
is a much lower frequency then every document.
Additionally, the documentation is updated with instructions for how
to set the logger to debug level.
* Changes for #52239.
* Incorporating review feedback from Julie T. Also single-sourcing nexted options in the Mapping page and referencing them in the Nested page.
* Moving tip after the introduction and clarifying limits.
* Update docs/reference/mapping.asciidoc
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Update docs/reference/mapping/types/nested.asciidoc
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Data frame analytics dynamically determines the classification field type. This field type then dictates the encoded JSON that is written to Elasticsearch.
Inference needs to know about this field type so that it may provide the EXACT SAME predicted values as analytics.
Here is added a new field `prediction_field_type` which indicates the desired type. Options are: `string` (DEFAULT), `number`, `boolean` (where close_to(1.0) == true, false otherwise).
Analytics provides the default `prediction_field_type` when the model is created from the process.
