Changes the titles for tokenizer pages to sentence case.
Also moves the 'Path hierarchy tokenizer examples' page within the
'Path hierarchy tokenizer' page and adds a related redirect.
We're tracking this aggregation's experimental-progress in #58573. We'd
like a little time to be able to make backwards incompatible changes to
the aggregation because we're not 100% sure about the request and
response format yet.
Today we have individual settings for configuring node roles such as
node.data and node.master. Additionally, roles are pluggable and we have
used this to introduce roles such as node.ml and node.voting_only. As
the number of roles is growing, managing these becomes harder for the
user. For example, to create a master-only node, today a user has to
configure:
- node.data: false
- node.ingest: false
- node.remote_cluster_client: false
- node.ml: false
at a minimum if they are relying on defaults, but also add:
- node.master: true
- node.transform: false
- node.voting_only: false
If they want to be explicit. This is also challenging in cases where a
user wants to have configure a coordinating-only node which requires
disabling all roles, a list which we are adding to, requiring the user
to keep checking whether a node has acquired any of these roles.
This commit addresses this by adding a list setting node.roles for which
a user has explicit control over the list of roles that a node has. If
the setting is configured, the node has exactly the roles in the list,
and not any additional roles. This means to configure a master-only
node, the setting is merely 'node.roles: [master]', and to configure a
coordinating-only node, the setting is merely: 'node.roles: []'.
With this change we deprecate the existing 'node.*' settings such as
'node.data'.
Implements a new histogram aggregation called `variable_width_histogram` which
dynamically determines bucket intervals based on document groupings. These
groups are determined by running a one-pass clustering algorithm on each shard
and then reducing each shard's clusters using an agglomerative
clustering algorithm.
This PR addresses #9572.
The shard-level clustering is done in one pass to minimize memory overhead. The
algorithm was lightly inspired by
[this paper](https://ieeexplore.ieee.org/abstract/document/1198387). It fetches
a small number of documents to sample the data and determine initial clusters.
Subsequent documents are then placed into one of these clusters, or a new one
if they are an outlier. This algorithm is described in more details in the
aggregation's docs.
At reduce time, a
[hierarchical agglomerative clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering)
algorithm inspired by [this paper](https://arxiv.org/abs/1802.00304)
continually merges the closest buckets from all shards (based on their
centroids) until the target number of buckets is reached.
The final values produced by this aggregation are approximate. Each bucket's
min value is used as its key in the histogram. Furthermore, buckets are merged
based on their centroids and not their bounds. So it is possible that adjacent
buckets will overlap after reduction. Because each bucket's key is its min,
this overlap is not shown in the final histogram. However, when such overlap
occurs, we set the key of the bucket with the larger centroid to the midpoint
between its minimum and the smaller bucket’s maximum:
`min[large] = (min[large] + max[small]) / 2`. This heuristic is expected to
increases the accuracy of the clustering.
Nodes are unable to share centroids during the shard-level clustering phase. In
the future, resolving https://github.com/elastic/elasticsearch/issues/50863
would let us solve this issue.
It doesn’t make sense for this aggregation to support the `min_doc_count`
parameter, since clusters are determined dynamically. The `order` parameter is
not supported here to keep this large PR from becoming too complex.
Co-authored-by: James Dorfman <jamesdorfman@users.noreply.github.com>
With #58096, data streams now track the timestamp field mapping outside
of the template associated with the stream. This means you can no longer
update the timestamp field mapping using template changes.
This updates the associated data stream docs.
Introduces a new method on `MappedFieldType` to return a family type name which defaults to the field type.
Changes `wildcard` and `constant_keyword` field types to return `keyword` for field capabilities.
Relates to #53175
When a local model is constructed, the cache hit miss count is incremented.
When a user calls _stats, we will include the sum cache hit miss count across ALL nodes. This statistic is important to in comparing against the inference_count. If the cache hit miss count is near the inference_count it indicates that the cache is overburdened, or inappropriately configured.
Today when creating a follower index via the put follow API, or via an
auto-follow pattern, it is not possible to specify settings overrides
for the follower index. Instead, we copy all of the leader index
settings to the follower. Yet, there are cases where a user would want
some different settings on the follower index such as the number of
replicas, or allocation settings. This commit addresses this by allowing
the user to specify settings overrides when creating follower index via
manual put follower calls, or via auto-follow patterns. Note that not
all settings can be overrode (e.g., index.number_of_shards) so we also
have detection that prevents attempting to override settings that must
be equal between the leader and follow index. Note that we do not even
allow specifying such settings in the overrides, even if they are
specified to be equal between the leader and the follower
index. Instead, the must be implicitly copied from the leader index, not
explicitly set by the user.
TIME_PARSE works correctly if both date and time parts are specified,
and a TIME object (that contains only time is returned).
Adjust docs and add a unit test that validates the behavior.
Follows: #55223
(cherry picked from commit 9d6b679a5da88f3c131b9bdba49aa92c6c272abe)
Changes:
* Adds additional examples to the `Search a data stream` section of
`Use a data stream`
* Updates existing search docs to make them aware of data streams
This change allows to use an `index_filter` in the
field capabilities API. Indices are filtered from
the response if the provided query rewrites to `match_none`
on every shard:
````
GET metrics-*
{
"index_filter": {
"bool": {
"must": [
"range": {
"@timestamp": {
"gt": "2019"
}
}
}
}
}
````
The filtering is done on a best-effort basis, it uses the can match phase
to rewrite queries to `match_none` instead of fully executing the request.
The first shard that can match the filter is used to create the field
capabilities response for the entire index.
Closes#56195
This allows doing true CAS operations on aliases, making sure that an alias is actually properly
moved from a given source index onto a given target index. This is useful to ensure that an
alias is actually moved from a given index to another one, and not just added to another index.
* Adding documentation for near real-time search.
* Adding link to NRT topic and clarifying some text.
* Adding diagrams and incorporating changes from David T.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
(cherry picked from commit 25cbbe56dd29fbee2efe8040e9c8b92d168cb670)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Adds corresponding steps for the get and delete data stream APIs to the
data stream setup tutorial. Also provides some guidance on how to
determine the current write index for a data stream.
This commit clarifies that the `expand_wildcards` option (as well as other
`IndicesOptions` parameters) can be used with the Create Snapshot API, but that
they must be in the body of the request.
Also clarifies the connection between `expand_wildcards` and hidden indices as
it relates to snapshots.
Changes:
* Adds new 'Reindex with a data stream' section to 'Use a data stream'
* Makes the existing reindex API docs aware of data streams
* Rewrites the reindex glossary definition to include data streams
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: Tim Vernum <tim@adjective.org>
Co-authored-by: lcawl <lcawley@elastic.co>
Backport of #57870 to 7.x branch.
This change now also copies the op_type from the reindex request's destination index request to the actual index request being used in the bulk request.
For ensuring no document exists, the op_type create doesn't need to be copied, since Versions.MATCH_DELETED will copied from the 'mainRequest.getDestination().version()'.
The `version()` method on IndexRequest only returns Versions.MATCH_DELETED if op_type=create and no specific version has been specified.
However in order to be able to index into a data stream, the op_type must be create. So in order to support that the op_type must be copied from the reindex request's destination index request to the actual index request being used in the bulk request.
Relates to #53100 and #57788
Changes:
* Updates 'Data streams' intro page to focus on problem solution and
benefits.
* Adds 'Data streams overview' page to cover conceptual information,
based on existing content in the 'Data streams' intro.
* Adds diagrams for data streams and search/indexing request examples.
* Moves API jump list and API docs to a new 'Data streams APIs' section.
Links to these APIs will be available through tutorials.
* Add xrefs to existing docs for concepts like generation, write index,
and append-only.
Changes:
* Condenses and relocates the `docvalue_fields` example to the 'Run a search'
page.
* Adds docs for the `docvalue_fields` request body parameter.
* Updates several related xrefs.
Co-authored-by: debadair <debadair@elastic.co>
We document that the cluster state API is an internal representation which may
change, but apparently not emphatically enough. This commit adds a `NOTE:`
admonition to this paragraph.
Per 49554 I added standard deviation sampling and variance sampling to the extended stats interface.
Closes#49554
Co-authored-by: Igor Motov <igor@motovs.org>
Co-authored-by: andrewjohnson2 <aj114114@gmail.com>
Creates a new page for a 'Set up a data stream' tutorial, based on
existing content in 'Data streams'.
Also adds tutorials for:
* Configuring an ILM policy for a data stream
* Indexing documents to a data stream
* Searching a data stream
* Manually rolling over a data stream
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.
Cleans up the reference documentation for the following
search API parameters:
* `_source` query parameter
* `_source_excludes` query parameter
* `_source_includes` query parameter
* `_source` request body parameter
* `hits._source` response property
Changes:
* Adds title abbreviation
* Adds Lucene link to description
* Adds standard headings
* Simplifies analyze example
* Simplifies analyzer example and adds contextual text
This adds new plugin level circuit breaker for the ML plugin.
`model_inference` is the circuit breaker qualified name.
Right now it simply adds to the breaker when the model is loaded (and possibly breaking) and removing from the breaker when the model is unloaded.
Deleting expired data can take a long time leading to timeouts if there
are many jobs. Often the problem is due to a few large jobs which
prevent the regular maintenance of the remaining jobs. This change adds
a job_id parameter to the delete expired data endpoint to help clean up
those problematic jobs.
This PR adds the initial Java side changes to enable
use of the per-partition categorization functionality
added in elastic/ml-cpp#1293.
There will be a followup change to complete the work,
as there cannot be any end-to-end integration tests
until elastic/ml-cpp#1293 is merged, and also
elastic/ml-cpp#1293 does not implement some of the
more peripheral functionality, like stop_on_warn and
per-partition stats documents.
The changes so far cover REST APIs, results object
formats, HLRC and docs.
Backport of #57683
James Rodewig
Przemyslaw Gomulka
Nik Everett
Jason Tedor
Igor Motov
markharwood
Russ Cam
István Zoltán Szabó
Dan Hermann
Benjamin Trent
Lisa Cawley
Tal Levy
Stuart Tettemer
Marios Trivyzas
Jim Ferenczi
Yannick Welsch
debadair
Jake Landis
Adam Locke
Andrei Dan
Gordon Brown
Matthias Gärtner
Rory Hunter
Martijn van Groningen
David Kyle
David Turner
Hendrik Muhs
Simon
Andrew Wilkins
bellengao
Lee Hinman
Przemysław Witek
David Roberts