Following the removal of the `unzip` package from the Elasticsearch
Docker image in #39040, update setup instructions for TLS in Docker.
Also avoid cross-platform ownership+permission issues by not relying
on local bind mounts for storing generated certs and don't require
`curl` locally installed.
Backport of #43748
Removes the suggestion to use IP addresses for `cluster.initial_master_nodes`
in the "important settings" discovery docs, leaving only the suggestion to use
node names.
Relates #41179, #41569
This commit merges the `object-fields` feature branch. The new 'flattened
object' field type allows an entire JSON object to be indexed into a field, and
provides limited search functionality over the field's contents.
This commit adds a wildcard intervals source, similar to the prefix. It
also changes the term parameter in prefix to read prefix, to bring it
in to line with the pattern parameter in wildcard.
Closes#43198
Currently changing resources (like dictionaries, synonym files etc...) of search
time analyzers is only possible by closing an index, changing the underlying
resource (e.g. synonym files) and then re-opening the index for the change to
take effect.
This PR adds a new API endpoint that allows triggering reloading of certain
analysis resources (currently token filters) that will then pick up changes in
underlying file resources. To achieve this we introduce a new type of custom
analyzer (ReloadableCustomAnalyzer) that uses a ReuseStrategy that allows
swapping out analysis components. Custom analyzers that contain filters that are
markes as "updateable" will automatically choose this implementation. This PR
also adds this capability to `synonym` token filters for use in search time
analyzers.
Relates to #29051
We should throw an exception at construction time if a list of
articles is not provided, otherwise we can get random NPEs during
indexing.
Relates to #43002
It is possible for internal ML indices like `.data-frame-notifications-1` to leak,
causing other docs tests to fail when they accidentally search over these
indices. This PR updates the ignore_above tests to only search a specific index.
This commit adds a prefix intervals source, allowing you to search
for intervals that contain terms starting with a given prefix. The source
can make use of the index_prefixes mapping option.
Relates to #43198
* [ML][Data Frame] Add support for allow_no_match for endpoints (#43490)
* [ML][Data Frame] Add support for allow_no_match parameter in endpoints
Adds support for:
* Get Transforms
* Get Transforms stats
* stop transforms
* Update DataFrameTransformDocumentationIT.java
Given a nested structure composed of Lists and Maps, getByPath will return the value
keyed by path. getByPath is a method on Lists and Maps.
The path is string Map keys and integer List indices separated by dot. An optional third
argument returns a default value if the path lookup fails due to a missing value.
Eg.
['key0': ['a', 'b'], 'key1': ['c', 'd']].getByPath('key1') = ['c', 'd']
['key0': ['a', 'b'], 'key1': ['c', 'd']].getByPath('key1.0') = 'c'
['key0': ['a', 'b'], 'key1': ['c', 'd']].getByPath('key2', 'x') = 'x'
[['key0': 'value0'], ['key1': 'value1']].getByPath('1.key1') = 'value1'
Throws IllegalArgumentException if an item cannot be found and a default is not given.
Throws NumberFormatException if a path element operating on a List is not an integer.
Fixes#42769
This change introduces a new setting,
xpack.ml.process_connect_timeout, to enable
the timeout for one of the external ML processes
to connect to the ES JVM to be increased.
The timeout may need to be increased if many
processes are being started simultaneously on
the same machine. This is unlikely in clusters
with many ML nodes, as we balance the processes
across the ML nodes, but can happen in clusters
with a single ML node and a high value for
xpack.ml.node_concurrent_job_allocations.
A voting-only master-eligible node is a node that can participate in master elections but will not act
as a master in the cluster. In particular, a voting-only node can help elect another master-eligible
node as master, and can serve as a tiebreaker in elections. High availability (HA) clusters require at
least three master-eligible nodes, so that if one of the three nodes is down, then the remaining two
can still elect a master amongst them-selves. This only requires one of the two remaining nodes to
have the capability to act as master, but both need to have voting powers. This means that one of
the three master-eligible nodes can be made as voting-only. If this voting-only node is a dedicated
master, a less powerful machine or a smaller heap-size can be chosen for this node. Alternatively, a
voting-only non-dedicated master node can play the role of the third master-eligible node, which
allows running an HA cluster with only two dedicated master nodes.
Closes#14340
Co-authored-by: David Turner <david.turner@elastic.co>
This merges the initial work that adds a framework for performing
machine learning analytics on data frames. The feature is currently experimental
and requires a platinum license. Note that the original commits can be
found in the `feature-ml-data-frame-analytics` branch.
A new set of APIs is added which allows the creation of data frame analytics
jobs. Configuration allows specifying different types of analysis to be performed
on a data frame. At first there is support for outlier detection.
The APIs are:
- PUT _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}/_stats
- POST _ml/data_frame/analysis/{id}/_start
- POST _ml/data_frame/analysis/{id}/_stop
- DELETE _ml/data_frame/analysis/{id}
When a data frame analytics job is started a persistent task is created and started.
The main steps of the task are:
1. reindex the source index into the dest index
2. analyze the data through the data_frame_analyzer c++ process
3. merge the results of the process back into the destination index
In addition, an evaluation API is added which packages commonly used metrics
that provide evaluation of various analysis:
- POST _ml/data_frame/_evaluate
The existing language was misleading about the model snapshots and where they are located. Saying "to disk" sounds like files external to Elasticsearch IMO. It raises the obvious question, where on disk? which node? Is it in the Elasticsearch snapshot repo? The model snapshots are held in an internal index.
* Example of how to set slow logs dynamically per-index
* Make _settings API example more explicit
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
* Add TEST directive to fix CI
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
the geo-bounding-box and phrase-suggest docs were susceptible to
failing due to other indices in the cluster. This change restricts
the queries to the index that is set up for the test.
relates to #43271.
This commit tweaks the docs for secure settings to ensure the user is
aware adding non secure settings to the keystore will result in
elasticsearch not starting.
fixes#43328
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
Together with types removal, any mention of "fields with the same name in the same index" doesn't make sense anymore.
(cherry picked from commit c5190106cbd4c007945156249cce462956933326)
* [ML][Data Frame] adds new pipeline field to dest config (#43124)
* [ML][Data Frame] adds new pipeline field to dest config
* Adding pipeline support to _preview
* removing unused import
* moving towards extracting _source from pipeline simulation
* fixing permission requirement, adding _index entry to doc
* adjusting for java 8 compatibility
* adjusting bwc serialization version to 7.3.0
These docs were misleading for package installations of
Elasticsearch. Instead, we should refer to $ES_CONFIG/ingest-geoip as
the path to place the custom database files. For non-package
installations, this is the same as $ES_HOME/config, but for package
installations this is not the case as the config directory for package
installations is /etc/elasticsearch, and is not relative to
$ES_HOME. This commit corrects the docs.
* [DOCS] Add introduction to Elasticsearch.
* [DOCS] Incorporated review comments.
* [DOCS] Minor edits to add an abbreviated title and cross refs.
* [DOCS] Added sizing tips & link to quantatative sizing video.
To be consistent with the `search.max_buckets` default setting,
set the hard limit of the PriorityQueue used for in memory sorting,
when sorting on an aggregate function, to 10000.
Fixes: #43168
(cherry picked from commit 079e012fdea68ea0a7daae078359495047e9c407)
The machine learning feature of xpack has native binaries with a
different commit id than the rest of code. It is currently exposed in
the xpack info api. This commit adds that commit information to the ML
info api, so that it may be removed from the info api.
Now emphasises the test is for indexed values.
Previous documentation only mentioned the state of the input JSON doc (null values) but this is only one of several reasons why an indexed value may not exist.
Closes#24256
The description field of xpack featuresets is optionally part of the
xpack info api, when using the verbose flag. However, this information
is unnecessary, as it is better left for documentation (and the existing
descriptions describe anything meaningful). This commit removes the
description field from feature sets.
Rest docs page update
- have the section be on separate pages
- add an Overview page
- add other formats examples
(cherry picked from commit 309bd691ff3f8625f67ca09fc1dd8e265f7e6c92)
* [ML] Adding support for geo_shape, geo_centroid, geo_point in datafeeds
* only supporting doc_values for geo_point fields
* moving validation into GeoPointField ctor
Previously, a reindex request had two different size specifications in the body:
* Outer level, determining the maximum documents to process
* Inside the source element, determining the scroll/batch size.
The outer level size has now been renamed to max_docs to
avoid confusion and clarify its semantics, with backwards compatibility and
deprecation warnings for using size.
Similarly, the size parameter has been renamed to max_docs for
update/delete-by-query to keep the 3 interfaces consistent.
Finally, all 3 endpoints now support max_docs in both body and URL.
Relates #24344
This change adds the earliest and latest timestamps into
the field stats for fields of type "date" in the output of
the ML find_file_structure endpoint. This will enable the
cards for date fields in the file data visualizer in the UI
to be made to look more similar to the cards for date
fields in the index data visualizer in the UI.
Adds a metadata field to snapshots which can be used to store arbitrary
key-value information. This may be useful for attaching a description of
why a snapshot was taken, tagging snapshots to make categorization
easier, or identifying the source of automatically-created snapshots.
The `replace` option in the phonetic token filter can have suprising side
effects, e.g. such as described in #26921. This PR adds a note to be mindful
about such scenarios and offers alternatives to using the `replace` option.
Closes#26921
This change abstracts the specific types away from the different
representations of datetime as a datetime representation in code can be all
kinds of different things. This defines the three most common types of
datetimes as numeric, string, and complex while outlining the type most
typically used for these as long, String, and ZonedDateTime, respectively.
Documentation uses the definitions while examples use the types. This makes
the documentation easier to consume especially for people from a non-Java
background.
Tanguy Leroux
Dimitrios Liappis
David Turner
Julie Tibshirani
weizijun
James Rodewig
Alan Woodward
Henning Andersen
Christoph Büscher
Lisa Cawley
Alan Woodward
Benjamin Trent
Stuart Tettemer
Jake Landis
Armin Braun
David Roberts
Yannick Welsch
Dimitris Athanasiou
rbayet
Ernesto Reig
debadair
Matthew Adams
Igor Motov
Luiz Guilherme Pais dos Santos
David Kyle
Yu
Ryan Ernst
Andrei Stefan
Jason Tedor
Paul Sanwald
Mayya Sharipova
caminsha
Colin Goodheart-Smithe
Jack Conradson
István Zoltán Szabó
Przemysław Witek
Marios Trivyzas
Luca Cavanna
Mirek Svoboda
James Baiera
Shaunak Kashyap
markharwood
Sachin Frayne
Sam Mingo
Shubham Vipul Majmudar
Gordon Brown