Documents the `nodes` response parameters returned by the
`_cluster/stats` API.
Also adds collapsible attributes for the `indices` and `nodes`
sections.
Makes the following changes to the `word_delimiter_graph` token filter
docs:
* Updates the Lucene experimental admonition.
* Updates description
* Adds analyze snippet
* Adds custom analyzer and custom filter snippets
* Reorganizes and updates parameter list
* Expands and updates section re: differences between `word_delimiter`
and `word_delimiter_graph`
This commit introduces hidden aliases. These are similar to hidden
indices, in that they are not visible by default, unless explicitly
specified by name or by indicating that hidden indices/aliases are
desired.
The new alias property, `is_hidden` is implemented similarly to
`is_write_index`, except that it must be consistent across all indices
with a given alias - that is, all indices with a given alias must
specify the alias as either hidden, or all specify it as non-hidden,
either explicitly or by omitting the `is_hidden` property.
7.5 and 7.6 had a regression that allowed for
script_score queries to have negative scores.
We have corrected this regression in #52478.
This is an addition to #52478 that adds
a test and release notes.
Adds documentation for the `any` keyword to the EQL syntax docs.
Includes:
* Definition of an event category and its relationship to the event
category field.
* Example matching all event categories using `any` keyword
* Example using `any` with `where true`
Updates the documented default `event_category_field` and `timestamp_field`
values for the EQL search API. Also updates related guidance in the
EQL requirement docs.
Relates to #53073.
Per the [Asciidoctor docs][0], Asciidoctor replaces the following
syntax with double arrows in the rendered HTML:
* => renders as ⇒
* <= renders as ⇐
This escapes several unintended replacements, such as in the Painless
docs.
Where appropriate, it also replaces some double arrow instances with
single arrows for consistency.
[0]: https://asciidoctor.org/docs/user-manual/#replacements
Makes the following changes to the `stop` token filter docs:
* Updates description
* Adds a link to the related Lucene filter
* Adds detailed analyze snippet
* Updates custom analyzer and custom filter snippets
* Adds a list of predefined stop words by language
Co-authored-by: ScottieL <36999642+ScottieL@users.noreply.github.com>
This field is a specialization of the `keyword` field for the case when all
documents have the same value. It typically performs more efficiently than
keywords at query time by figuring out whether all or none of the documents
match at rewrite time, like `term` queries on `_index`.
The name is up for discussion. I liked including `keyword` in it, so that we
still have room for a `singleton_numeric` in the future. However I'm unsure
whether to call it `singleton`, `constant` or something else, any opinions?
For this field there is a choice between
1. accepting values in `_source` when they are equal to the value configured
in mappings, but rejecting mapping updates
2. rejecting values in `_source` but then allowing updates to the value that
is configured in the mapping
This commit implements option 1, so that it is possible to reindex from/to an
index that has the field mapped as a keyword with no changes to the source.
Backport of #49713
implement transform node attributes to disable transform on certain nodes and
test which nodes are allowed to do remote connections
closes#52200closes#50033closes#48734
backport #52712
Makes the following updates to the EQL search tutorial:
* Adds an API response to the basic tutorial
* Adds an example using the `event_type_field` parm
* Adds an example using the `timestamp_field`parm
* Adds an example using the `query` parm
* Updates example dataset to support more EQL query variety
Makes the following changes to the `trim` token filter docs:
* Updates description
* Adds a link to the related Lucene filter
* Adds tip about removing whitespace using tokenizers
* Adds detailed analyze snippets
* Adds custom analyzer snippet
Adds a warning admonition stating that the `index_options` mapping
parameter is intended only for `text` fields.
Removes an outdated statement regarding default values for numeric
and other datatypes.
Adds reporting of memory usage for data frame analytics jobs.
This commit introduces a new index pattern `.ml-stats-*` whose
first concrete index will be `.ml-stats-000001`. This index serves
to store instrumentation information for those jobs.
Backport of #52778 and #52958
Closes#43990. Describe how to change the default GC settings without changing
the default `jvm.options`. Give examples using `jvm.options.d`, and
`ES_JAVA_OPTS` with Docker.
Backport of #51233 to the seven dot x branch.
Tries to load a `Mapper` instance for the mapping snippet of a dynamic template.
This should catch things like using an analyzer that is undefined or mapping attributes that are unused.
This is best effort:
* If `{{name}}` placeholder is used in the mapping snippet then validation is skipped.
* If `match_mapping_type` is not specified then validation is performed for all mapping types.
If parsing succeeds with a single mapping type then this the dynamic mapping is considered valid.
If is detected that a dynamic template mapping snippet is invalid at mapping update time then the mapping update is failed for indices created on 8.0.0-alpha1 and later. For indices created on prior version a deprecation warning is omitted instead. In 7.x clusters the mapping update will never fail in case of an invalid dynamic template mapping snippet and a deprecation warning will always be omitted.
Closes#17411Closes#24419
Co-authored-by: Adrien Grand <jpountz@gmail.com>
This adds a new configurable field called `indices_options`. This allows users to create or update the indices_options used when a datafeed reads from an index.
This is necessary for the following use cases:
- Reading from frozen indices
- Allowing certain indices in multiple index patterns to not exist yet
These index options are available on datafeed creation and update. Users may specify them as URL parameters or within the configuration object.
closes https://github.com/elastic/elasticsearch/issues/48056
This change adds the recall@k metric and refactors precision@k to match
the new metric.
Recall@k is an important metric to use for learning to rank (LTR)
use-cases. Candidate generation or first ranking phase ranking functions
are often optimized for high recall, in order to generate as many
relevant candidates in the top-k as possible for a second phase of
ranking. Adding this metric allows tuning that base query for LTR.
See: https://github.com/elastic/elasticsearch/issues/51676
Backports: https://github.com/elastic/elasticsearch/pull/52577
Add query execution and return actual results returned from
Elasticsearch inside the tests
(cherry picked from commit 3e039282bf991af87604a6d4f8eada19d5e33842)
The introductory sections of the reference manual contains some simplified
instructions for adding a node to the cluster. Unfortunately they are a little
too simplified and only really work for clusters running on `localhost`. If you
try and follow these instructions for a distributed cluster then the new node
will, confusingly, auto-bootstrap itself into a distinct one-node cluster.
Multiple nodes running on localhost is a valid config, of course, but we should
spell out that these instructions are really only for experimentation and that
it takes a bit more work to add nodes to a distributed cluster. This commit
does so.
Also, the "important config" instructions for discovery say that you MUST set
`discovery.seed_hosts` whereas in fact it is fine to ignore this setting and
use a dynamic discovery mechanism instead. This commit weakens this statement
and links to the docs for dynamic discovery mechanisms.
Finally, this section is also overloaded with some technical details that are
not important for this context and are adequately covered elsewhere, and
completely fails to note that the default discovery port is 9300. This commit
addresses this.
Adds the `?refresh=wait_for` query argument to an index API snippet in
the term vectors API docs.
This should ensure the document is indexed and available before a
subsequent term vectors API request executes.
Fixes#52814.
* Smarter copying of the rest specs and tests (#52114)
This PR addresses the unnecessary copying of the rest specs and allows
for better semantics for which specs and tests are copied. By default
the rest specs will get copied if the project applies
`elasticsearch.standalone-rest-test` or `esplugin` and the project
has rest tests or you configure the custom extension `restResources`.
This PR also removes the need for dozens of places where the x-pack
specs were copied by supporting copying of the x-pack rest specs too.
The plugin/task introduced here can also copy the rest tests to the
local project through a similar configuration.
The new plugin/task allows a user to minimize the surface area of
which rest specs are copied. Per project can be configured to include
only a subset of the specs (or tests). Configuring a project to only
copy the specs when actually needed should help with build cache hit
rates since we can better define what is actually in use.
However, project level optimizations for build cache hit rates are
not included with this PR.
Also, with this PR you can no longer use the includePackaged flag on
integTest task.
The following items are included in this PR:
* new plugin: `elasticsearch.rest-resources`
* new tasks: CopyRestApiTask and CopyRestTestsTask - performs the copy
* new extension 'restResources'
```
restResources {
restApi {
includeCore 'foo' , 'bar' //will include the core specs that start with foo and bar
includeXpack 'baz' //will include x-pack specs that start with baz
}
restTests {
includeCore 'foo', 'bar' //will include the core tests that start with foo and bar
includeXpack 'baz' //will include the x-pack tests that start with baz
}
}
```
Remove reference to an "SQL API" which could suggest that one needs to
treat this in a special way when configuring the ODBC driver.
(cherry picked from commit 451c341e0193b542409e8891ec2a31e62529a5e7)
Adds an explicit "important" admonition discouraging apps from using
cat APIs.
cat APIs are intended for human consumption via the command line or
Kibana console only. They are not intended for consumption by
applications.
Indices open with the `niofs` store type load much more data on-heap than
indices open with the `mmapfs` store type. This limitation is now documented
and examples have been updated to show how to update settings to use the
`mmapfs` store type rather than `niofs`.
We should be more explicit about the downsides of disabling replicas and
explain that users should be ready to re-do the entire load in case of
issues mid-way.
One architecture that we have recommended to several users to speed up
indexing involved using CCR to prevent searching from stealing resources
from indexing.
Before boost in script_score query was wrongly applied only to the subquery.
This commit makes sure that the boost is applied to the whole score
that comes out of script.
Closes#48465
Explicitly notes the Elasticsearch API endpoints that support CCS.
This should deter users from attempting to use CCS with other API
endpoints, such as `GET <index>/_doc/<_id>`.
* Adds an example request to the top of the page.
* Relocates several parameters erroneously listed under "Request body"
to the appropriate "Query parameters" section.
* Updates the "Request body" section to better document the NDJSON
structure of msearch requests.
Add default value to each one of the usages of `allow_no_indices`
since it differs between different APIs.
Relates to: #52534
(cherry picked from commit 2eb986488ac326d6da6ab8ad0203a94e08684a36)
This adds machine learning model feature importance calculations to the inference processor.
The new flag in the configuration matches the analytics parameter name: `num_top_feature_importance_values`
Example:
```
"inference": {
"field_mappings": {},
"model_id": "my_model",
"inference_config": {
"regression": {
"num_top_feature_importance_values": 3
}
}
}
```
This will write to the document as follows:
```
"inference" : {
"feature_importance" : {
"FlightTimeMin" : -76.90955548511226,
"FlightDelayType" : 114.13514762158526,
"DistanceMiles" : 13.731580450792187
},
"predicted_value" : 108.33165831875137,
"model_id" : "my_model"
}
```
This is done through calculating the [SHAP values](https://arxiv.org/abs/1802.03888).
It requires that models have populated `number_samples` for each tree node. This is not available to models that were created before 7.7.
Additionally, if the inference config is requesting feature_importance, and not all nodes have been upgraded yet, it will not allow the pipeline to be created. This is to safe-guard in a mixed-version environment where only some ingest nodes have been upgraded.
NOTE: the algorithm is a Java port of the one laid out in ml-cpp: https://github.com/elastic/ml-cpp/blob/master/lib/maths/CTreeShapFeatureImportance.cc
usability blocked by: https://github.com/elastic/ml-cpp/pull/991
Re-adds several redirects removed with #50510.
These redirects were related to the relocation of several API docs to
new pages under the 'REST APIs' chapter.
We've since decided to only remove such redirects with major releases.
When `PUT` is called to store a trained model, it is useful to return the newly create model config. But, it is NOT useful to return the inflated definition.
These definitions can be large and returning the inflated definition causes undo work on the server and client side.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This commit updates the enrich.get_policy API to specify name
as a list, in line with other URL parts that accept a comma-separated
list of values.
In addition, update the get enrich policy API docs
to align the URL part name in the documentation with
the name used in the REST API specs.
(cherry picked from commit 94f6f946ef283dc93040e052b4676c5bc37f4bde)
* Refresh snapshots with latest look
Add new snapshots with the connection editor to reflect the latest UI.
* Document the effect of the late added params
Add details about the Cloud ID setting, as well as those on the Misc
tab.
(cherry picked from commit afa67625e847e99a22264f5dd6fa0daa37786c6f)
Updates the cross-cluster search (CCS) documentation to note how
cluster-level settings are applied.
When `ccs_minimize_roundtrips` is `true`, each cluster applies its own
cluster-level settings to the request.
When `ccs_minimize_roundtrips` is `false`, cluster-level settings for
the local cluster is used. This includes shard limit settings, such as
`action.search.shard_count.limit`, `pre_filter_shard_size`, and
`max_concurrent_shard_requests`. If these limits are set too low, the
request could be rejected.
* Fix "Description"s for various sections in the functions pages.
* Added a TIP for searching using a routing key.
* Other small polishings
(cherry picked from commit 9fad0b1ac4409a42c435ed040f41cbaea18930a3)
The `top_metrics` agg is kind of like `top_hits` but it only works on
doc values so it *should* be faster.
At this point it is fairly limited in that it only supports a single,
numeric sort and a single, numeric metric. And it only fetches the "very
topest" document worth of metric. We plan to support returning a
configurable number of top metrics, requesting more than one metric and
more than one sort. And, eventually, non-numeric sorts and metrics. The
trick is doing those things fairly efficiently.
Co-Authored by: Zachary Tong <zach@elastic.co>
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
The example of how to access the nano value of a date_nanos field has
been broken since it was created. This commit fixes it to use the
correct scripting methods.
closes#51931
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
I plan to add additional sections to this page with future PRs:
* Specify timestamp and event type fields
* Specify a join key field
* Filter using query DSL
* Paginate a large response
See #51057.
Add a section to point out that when ordering by an aggregate
only plain aggregate functions are allowed, no scalars/operators
can be used on top of them.
Fixes: #52204
(cherry picked from commit 78a1185549ff7f3229fd2d036567eb2a4f2cf230)
7.x backport of #52201
Provides a path to set register the EQL feature flag in release builds.
This enables EQL in release builds so that release docs tests pass.
Release docs tests do not have infrastructure in place to only register
snippets from included portions of the docs, they instead include all
docs snippets.
Since EQL can not be enabled in release builds, this meant that the EQL
snippets fail in the release docs tests.
This adds the ability to enable EQL in the release docs tests. This
system property will be removed when EQL is ready for release.
Adds the ability to display docs on permanently unreleased branches,
such as `master` and `7.x`.
Also updates how the autoscaling and EQL docs are included.
Currently, these feature-flag docs would display on any unreleased
branches that contain the changes, such as 7.7.
Today we use `cluster.join.timeout` to prevent nodes from waiting indefinitely
if joining a faulty master that is too slow to respond, and
`cluster.publish.timeout` to allow a faulty master to detect that it is unable
to publish its cluster state updates in a timely fashion. If these timeouts
occur then the node restarts the discovery process in an attempt to find a
healthier master.
In the special case of `discovery.type: single-node` there is no point in
looking for another healthier master since the single node in the cluster is
all we've got. This commit suppresses these timeouts and instead lets the node
wait for joins and publications to succeed no matter how long this might take.
The changes add more granularity for identiying the data ingestion user.
The ingest pipeline can now be configure to record authentication realm and
type. It can also record API key name and ID when one is in use.
This improves traceability when data are being ingested from multiple agents
and will become more relevant with the incoming support of required
pipelines (#46847)
Resolves: #49106
* Allow forcemerge in the hot phase for ILM policies
This commit changes the `forcemerge` action to also be allowed in the `hot` phase for policies. The
forcemerge will occur after a rollover, and allows users to take advantage of higher disk speeds for
performing the force merge (on a separate node type, for example).
On caveat with this is that a `forcemerge` in the `hot` phase *MUST* be accompanied by a `rollover`
action. ILM validates policies to ensure this is the case.
Resolves#43165
* Use anyMatch instead of findAny in validation
* Make randomTimeseriesLifecyclePolicy single-pass
This change adds support for the following new model_size_stats
fields:
- categorized_doc_count
- total_category_count
- frequent_category_count
- rare_category_count
- dead_category_count
- categorization_status
Backport of #51879
This commit introduces the ability to override JVM options by adding
custom JVM options files to a jvm.options.d directory. This simplifies
administration of Elasticsearch by not requiring administrators to keep
the root jvm.options file in sync with changes that we make to the root
jvm.options file. Instead, they are not expected to modify this file but
instead supply their own in jvm.options.d. In Docker installations, this
means they can bind mount this directory in. In future versions of
Elasticsearch, we can consider removing the root jvm.options file
(instead, providing all options there as system JVM options).
This commit provides a path to set register the autoscaling feature flag
in release builds, and therefore enabling autoscaling in release
builds. The primary reason that we add this is so that our release docs
tests can pass. Our release docs tests do not have infrastructure in
place to only register snippets from included portions of the docs, they
instead include all docs snippets. Since autoscaling can not be enabled
in release builds, this meant that the autoscaling snippets would fail
in the release docs tests. To address then, we need the ability to
enable autoscaling in the release docs tests which we can now do with
the system property added here. This system property will be removed
when autoscaling is ready for release.
There is some extraneous whitespace here, and every time I look at this
file my editor wants to make these changes and so my diffs end up having
this noise in it which I fight to exclude. This commit addresses this
issue by removing this extraneous whitespace.
The main purpose of this commit is to add a single autoscaling REST
endpoint skeleton, for the purpose of starting to build out the build
and testing infrastructure that will surround it. For example, rather
than commiting a fully-functioning autoscaling API, we introduce here
the skeleton so that we can start wiring up the build and testing
infrastructure, establish security roles/permissions, an so on. This
way, in a forthcoming PR that introduces actual functionality, that PR
will be smaller and have less distractions around that sort of
infrastructure.
Adds the ability to display docs on permanently unreleased branches,
such as `master` and `7.x`.
Also updates how the autoscaling and EQL docs are included.
Currently, these feature-flag docs would display on any unreleased
branches that contain the changes, such as 7.7.
Backport of #51867.
Tweak the documentation around configuring the heap size when using
Docker, to state that:
- using `ES_JAVA_OPTS` is the preferred method
- Any `ES_JAVA_OPTS` overrides the defaults in `jvm.options`
- It's possible to bind-mount a custom `jvm.options`
* Add empty_value parameter to CSV processor
This change adds `empty_value` parameter to the CSV processor.
This value is used to fill empty fields. Fields will be skipped
if this parameter is ommited. This behavior is the same for both
quoted and unquoted fields.
* docs updated
* Fix compilation problem
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Adds documentation for basic EQL syntax.
Joins, sequences, and other syntax to be added as its supported
in future development.
Co-Authored-By: Ross Wolf <31489089+rw-access@users.noreply.github.com>
We only drop ilm/slm policies on teardown only if the running docs tests
are ilm/slm related.
This updates the test name pattern to match the ilm/slm related tests
when running on windows
(eg.`reference\ilm/update-lifecycle-policy/line_29`).
(cherry picked from commit 4bb5bbd52eee59bd3eee6d766a9efc159822d9b9)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
* [DOCS] Align with ILM API docs (#48705)
* [DOCS] Reconciled with Snapshot/Restore reorg
* [DOCS] Split off ILM overview to a separate topic. (#51287)
* [DOCS} Split off overview to a separate topic.
* [DOCS] Incorporated feedback from @jrodewig.
* [DOCS] Edit ILM GS tutorial (#51513)
* [DOCS] Edit ILM GS tutorial
* [DOCS] Incorporated review feedback from @andreidan.
* [DOCS] Removed test link & fixed anchor & title.
* Update docs/reference/ilm/getting-started-ilm.asciidoc
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
* Fixed glossary merge error.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Use standard format for reload settings API
The reload-secure-settings API page was not reorganized for the standard
API format, so this commit is reorganizing the page and adding some
links to the page in related documentation.
* Fix broken links
* Reorder examples to correctly check API response
* Note that only certain settings are reloadable
* [DOCS] Edits layout
* [DOCS] Removes unnecessary callouts
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Adds a secure and reloadable SECURE_AUTH_PASSWORD setting to allow keystore entries in the form "xpack.monitoring.exporters.*.auth.secure_password" to securely supply passwords for monitoring HTTP exporters. Also deprecates the insecure `AUTH_PASSWORD` setting.
The changes are to help users prepare for migration to next major
release (v8.0.0) regarding to the break change of realm order config.
Warnings are added for when:
* A realm does not have an order config
* Multiple realms have the same order config
The warning messages are added to both deprecation API and loggings.
The main reasons for doing this are: 1) there is currently no automatic relay
between the two; 2) deprecation API is under basic and we need logging
for OSS.
* Rename ILM history index enablement setting
The previous setting was `index.lifecycle.history_index_enabled`, this commit changes it to
`indices.lifecycle.history_index_enabled` to indicate this is not an index-level setting (it's node
level).
* [DOCS] Rewrite analysis intro. Move index/search analysis content.
* Rewrites 'Text analysis' page intro as high-level definition.
Adds guidance on when users should configure text analysis
* Rewrites and splits index/search analysis content:
* Conceptual content -> 'Index and search analysis' under 'Concepts'
* Task-based content -> 'Specify an analyzer' under 'Configure...'
* Adds detailed examples for when to use the same index/search analyzer
and when not.
* Adds new example snippets for specifying search analyzers
* clarifications
* Add toc. Decrement headings.
* Reword 'When to configure' section
* Remove sentence from tip
Previously, if YEAR() was used as and ORDER BY argument without being
wrapped with another scalar (e.g. YEAR(birth_date) + 10), no script
ordering was used but instead the underlying field (e.g. birth_date)
was used instead as a performance optimisation. This works correctly if
YEAR() is the only ORDER BY arg but if further args are used as tie
breakers for the ordering wrong results are produced. This is because
2 rows with the different birth_date but on the same year are not tied
as the underlying ordering is on birth_date and not on the
YEAR(birth_date), and the following ORDER BY args are ignored.
Remove this optimisation for YEAR() to avoid incorrect results in
such cases.
As a consequence another bug is revealed: scalar functions on top
of nested fields produce scripted sorting/filtering which is not yet
supported. In such cases no error was thrown but instead all values for
such nested fields were null and were passed to the script implementing
the sorting/filtering, producing incorrect results.
Detect such cases and throw a validation exception.
Fixes: #51224
(cherry picked from commit f41efd6753dc3650a7eabb3e07b02b3b32c5704c)
The timeout.tcp_read AD/LDAP realm setting, despite the low-level
allusion, controls the time interval the realms wait for a response for
a query (search or bind). If the connection to the server is synchronous
(un-pooled) the response timeout is analogous to the tcp read timeout.
But the tcp read timeout is irrelevant in the common case of a pooled
connection (when a Bind DN is specified).
The timeout.tcp_read qualifier is hereby deprecated in favor of
timeout.response.
In addition, the default value for both timeout.tcp_read and
timeout.response is that of timeout.ldap_search, instead of the 5s (but
the default for timeout.ldap_search is still 5s). The
timeout.ldap_search defines the server-controlled timeout of a search
request. There is no practical use case to have a smaller tcp_read
timeout compared to ldap_search (in this case the request would time-out
on the client but continue to be processed on the server). The proposed
change aims to simplify configuration so that the more common
configuration change, adjusting timeout.ldap_search up, has the expected
result (no timeout during searches) without any additional
modifications.
Closes#46028
This commit adds examples in our documentation for
- An HLRC instance authenticating to an elasticsearch cluster using
an elasticsearch token service access token or an API key
- An HLRC instance connecting to an elasticsearch cluster that is
setup for TLS on the HTTP layer when the CA certificate of the
cluster is available either as a PEM file or a keystore
- An HLRC instance connecting to an elasticsearch cluster that
requires client authentication where the client key and certificate
are available in a keystore
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
This commit deprecates the creation of dot-prefixed index names (e.g.
.watches) unless they are either 1) a hidden index, or 2) registered by
a plugin that extends SystemIndexPlugin. This is the first step
towards more thorough protections for system indices.
This commit also modifies several plugins which use dot-prefixed indices
to register indices they own as system indices, and adds a plugin to
register .tasks as a system index.
The docs tests have recently been running much slower than before (see #49753).
The gist here is that with ILM/SLM we do a lot of unnecessary setup / teardown work on each
test. Compounded with the slightly slower cluster state storage mechanism, this causes the
tests to run much slower.
In particular, on RAMDisk, docs:check is taking
ES 7.4: 6:55 minutes
ES master: 16:09 minutes
ES with this commit: 6:52 minutes
on SSD, docs:check is taking
ES 7.4: ??? minutes
ES master: 32:20 minutes
ES with this commit: 11:21 minutes
Changes the find_file_structure response to include a CSV
ingest processor in the ingest pipeline it suggests.
Previously the Kibana file upload functionality parsed CSV
in the browser, but by parsing CSV in the ingest pipeline
it makes the Kibana file upload functionality more easily
interchangable with Filebeat such that the configurations
it creates can more easily be used to import data with the
same structure repeatedly in production.
* Reload secure settings with password (#43197)
If a password is not set, we assume an empty string to be
compatible with previous behavior.
Only allow the reload to be broadcast to other nodes if TLS is
enabled for the transport layer.
* Add passphrase support to elasticsearch-keystore (#38498)
This change adds support for keystore passphrases to all subcommands
of the elasticsearch-keystore cli tool and adds a subcommand for
changing the passphrase of an existing keystore.
The work to read the passphrase in Elasticsearch when
loading, which will be addressed in a different PR.
Subcommands of elasticsearch-keystore can handle (open and create)
passphrase protected keystores
When reading a keystore, a user is only prompted for a passphrase
only if the keystore is passphrase protected.
When creating a keystore, a user is allowed (default behavior) to create one with an
empty passphrase
Passphrase can be set to be empty when changing/setting it for an
existing keystore
Relates to: #32691
Supersedes: #37472
* Restore behavior for force parameter (#44847)
Turns out that the behavior of `-f` for the add and add-file sub
commands where it would also forcibly create the keystore if it
didn't exist, was by design - although undocumented.
This change restores that behavior auto-creating a keystore that
is not password protected if the force flag is used. The force
OptionSpec is moved to the BaseKeyStoreCommand as we will presumably
want to maintain the same behavior in any other command that takes
a force option.
* Handle pwd protected keystores in all CLI tools (#45289)
This change ensures that `elasticsearch-setup-passwords` and
`elasticsearch-saml-metadata` can handle a password protected
elasticsearch.keystore.
For setup passwords the user would be prompted to add the
elasticsearch keystore password upon running the tool. There is no
option to pass the password as a parameter as we assume the user is
present in order to enter the desired passwords for the built-in
users.
For saml-metadata, we prompt for the keystore password at all times
even though we'd only need to read something from the keystore when
there is a signing or encryption configuration.
* Modify docs for setup passwords and saml metadata cli (#45797)
Adds a sentence in the documentation of `elasticsearch-setup-passwords`
and `elasticsearch-saml-metadata` to describe that users would be
prompted for the keystore's password when running these CLI tools,
when the keystore is password protected.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
* Elasticsearch keystore passphrase for startup scripts (#44775)
This commit allows a user to provide a keystore password on Elasticsearch
startup, but only prompts when the keystore exists and is encrypted.
The entrypoint in Java code is standard input. When the Bootstrap class is
checking for secure keystore settings, it checks whether or not the keystore
is encrypted. If so, we read one line from standard input and use this as the
password. For simplicity's sake, we allow a maximum passphrase length of 128
characters. (This is an arbitrary limit and could be increased or eliminated.
It is also enforced in the keystore tools, so that a user can't create a
password that's too long to enter at startup.)
In order to provide a password on standard input, we have to account for four
different ways of starting Elasticsearch: the bash startup script, the Windows
batch startup script, systemd startup, and docker startup. We use wrapper
scripts to reduce systemd and docker to the bash case: in both cases, a
wrapper script can read a passphrase from the filesystem and pass it to the
bash script.
In order to simplify testing the need for a passphrase, I have added a
has-passwd command to the keystore tool. This command can run silently, and
exit with status 0 when the keystore has a password. It exits with status 1 if
the keystore doesn't exist or exists and is unencrypted.
A good deal of the code-change in this commit has to do with refactoring
packaging tests to cleanly use the same tests for both the "archive" and the
"package" cases. This required not only moving tests around, but also adding
some convenience methods for an abstraction layer over distribution-specific
commands.
* Adjust docs for password protected keystore (#45054)
This commit adds relevant parts in the elasticsearch-keystore
sub-commands reference docs and in the reload secure settings API
doc.
* Fix failing Keystore Passphrase test for feature branch (#50154)
One problem with the passphrase-from-file tests, as written, is that
they would leave a SystemD environment variable set when they failed,
and this setting would cause elasticsearch startup to fail for other
tests as well. By using a try-finally, I hope that these tests will fail
more gracefully.
It appears that our Fedora and Ubuntu environments may be configured to
store journald information under /var rather than under /run, so that it
will persist between boots. Our destructive tests that read from the
journal need to account for this in order to avoid trying to limit the
output we check in tests.
* Run keystore management tests on docker distros (#50610)
* Add Docker handling to PackagingTestCase
Keystore tests need to be able to run in the Docker case. We can do this
by using a DockerShell instead of a plain Shell when Docker is running.
* Improve ES startup check for docker
Previously we were checking truncated output for the packaged JDK as
an indication that Elasticsearch had started. With new preliminary
password checks, we might get a false positive from ES keystore
commands, so we have to check specifically that the Elasticsearch
class from the Bootstrap package is what's running.
* Test password-protected keystore with Docker (#50803)
This commit adds two tests for the case where we mount a
password-protected keystore into a Docker container and provide a
password via a Docker environment variable.
We also fix a logging bug where we were logging the identifier for an
array of strings rather than the contents of that array.
* Add documentation for keystore startup prompting (#50821)
When a keystore is password-protected, Elasticsearch will prompt at
startup. This commit adds documentation for this prompt for the archive,
systemd, and Docker cases.
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
* Warn when unable to upgrade keystore on debian (#51011)
For Red Hat RPM upgrades, we warn if we can't upgrade the keystore. This
commit brings the same logic to the code for Debian packages. See the
posttrans file for gets executed for RPMs.
* Restore handling of string input
Adds tests that were mistakenly removed. One of these tests proved
we were not handling the the stdin (-x) option correctly when no
input was added. This commit restores the original approach of
reading stdin one char at a time until there is no more (-1, \r, \n)
instead of using readline() that might return null
* Apply spotless reformatting
* Use '--since' flag to get recent journal messages
When we get Elasticsearch logs from journald, we want to fetch only log
messages from the last run. There are two reasons for this. First, if
there are many logs, we might get a string that's too large for our
utility methods. Second, when we're looking for a specific message or
error, we almost certainly want to look only at messages from the last
execution.
Previously, we've been trying to do this by clearing out the physical
files under the journald process. But there seems to be some contention
over these directories: if journald writes a log file in between when
our deletion command deletes the file and when it deletes the log
directory, the deletion will fail.
It seems to me that we might be able to use journald's "--since" flag to
retrieve only log messages from the last run, and that this might be
less likely to fail due to race conditions in file deletion.
Unfortunately, it looks as if the "--since" flag has a granularity of
one-second. I've added a two-second sleep to make sure that there's a
sufficient gap between the test that will read from journald and the
test before it.
* Use new journald wrapper pattern
* Update version added in secure settings request
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Co-authored-by: Ioannis Kakavas <ikakavas@protonmail.com>
Today we are repeatedly checking if the current build is a snapshot
build or not by reading the system property build.snapshot. This commit
formalizes this by adding a build parameter to indicate whether or not
the current build is a snapshot build.
* Creates a top-level page for EQL in the ES reference.
This page contains a high-level introduction and will include a nav for other EQL docs pages as they're built.
* Creates a requirements page.
This page outlines the fields needed to use EQL in ES.
This commit enables autoscaling in docs tests based on snapshot
builds. This is done so that when the API docs are added to the docs,
then the cluster will have been started to enable autoscaling so these
APIs are available for testing.
In 2bb31fe (v0.6.0!) we added DEBUG-level logging to the default config of
action loggers "for easier debugging". This change to the default config lives
on to this day. It does not obviously make debugging any easier any more, but
it does result in a good deal of log noise sometimes. This commit removes this
special case from the default config.
Closes#51198
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
The way it was originally written, it sounds like
we are boosting at query time.
Of course, the effect is at query time,
but the point here is that boosting is done at index time
* [ML][Inference] add tags url param to GET (#51330)
Adds a new URL parameter, `tags` to the GET _ml/inference/<model_id> endpoint.
This parameter allows the list of models to be further reduced to those who contain all the provided tags.
James Rodewig
Jason Tedor
Julie Tibshirani
Dominik Riemer
Greg Back
Romain Gonord
Anton Dollmaier
István Zoltán Szabó
Lisa Cawley
Gordon Brown
Adam Canady
Mayya Sharipova
David Turner
Nik Everett
Yannick Welsch
Aleksandr Maus
Adrien Grand
Costin Leau
Orhan Toy
Hendrik Muhs
rhymes
Yang Wang
Dimitris Athanasiou
Rory Hunter
Martijn van Groningen
Benjamin Trent
Nattachai Suteerapongpan
Josh Devins
Jake Landis
Bogdan Pintea
Andrei Stefan
Pius
bellengao
David Pilato
David Roberts
Bob Blank
Przemko Robakowski
Ignacio Vera
Marios Trivyzas
Nik Richers
Sean Story
Armin Braun
Russ Cam
Lee Hinman
Valentin Crettaz
debadair
OriGlassman
Igor Motov
Ryan Ernst
Marios Trivyzas
Zachary Tong
Raidok
David Kyle
Andrei Dan
Florian Kelbert
baifan
Grzegorz Banasiak
William Brafford
Dan Hermann
Darren LaCasse
Christoph Büscher
Sven Schliesing
Nhat Nguyen
Henning Andersen
Peter Dyson
Albert Zaharovits
Ioannis Kakavas
Jonas F. Henriksen