We need to limit the search request aggregations to whole multiples
of the configured interval for both histogram and date_histogram.
Otherwise, agg buckets won't overlap with the rolled up buckets
and the results will be incorrect.
For histogram, the validation is very simple: request must be >= the config,
and modulo evenly.
Dates are more tricky.
- If both request and config are fixed dates, we can convert to millis
and treat them just like the histo
- If both are calendar, we make sure the request is >= the config with
a static lookup map that ranks the calendar values relatively. All
calendar units are "singles", so they are evenly divisible already
- We disallow any other combination (one fixed, one calendar, etc)
This change adds support for the client credentials grant type to the
token api. The client credentials grant allows for a client to
authenticate with the authorization server and obtain a token to access
as itself. Per RFC 6749, a refresh token should not be included with
the access token and as such a refresh token is not issued when the
client credentials grant is used.
The addition of the client credentials grant will allow users
authenticated with mechanisms such as kerberos or PKI to obtain a token
that can be used for subsequent access.
* Adding new MonitoredSystem for APM server
* Teaching Monitoring template utils about APM server monitoring indices
* Documenting new monitoring index for APM server
* Adding monitoring index template for APM server
* Copy pasta typo
* Removing metrics.libbeat.config section from mapping
* Adding built-in user and role for APM server user
* Actually define the role :)
* Adding missing import
* Removing index template and system ID for apm server
* Shortening line lengths
* Updating expected number of built-in users in integration test
* Removing "system" from role and user names
* Rearranging users to make tests pass
If a search request doesn't contain aggs (or an empty agg object),
we should just retun an empty response. This is how the normal search
API works if you specify zero hits and empty aggs.
The existing behavior throws an exception because it tries to send
an empty msearch.
Closes#32256
Add documentation for #31238
- Add documentation for the req_authn_context_class_ref setting
- Add a section in SAML Guide regarding the use of SAML
Authentication Context.
This reworks how we configure the `shadow` plugin in the build. The major
change is that we no longer bundle dependencies in the `compile` configuration,
instead we bundle dependencies in the new `bundle` configuration. This feels
more right because it is a little more "opt in" rather than "opt out" and the
name of the `bundle` configuration is a little more obvious.
As an neat side effect of this, the `runtimeElements` configuration used when
one project depends on another now contains exactly the dependencies needed
to run the project so you no longer need to reference projects that use the
shadow plugin like this:
```
testCompile project(path: ':client:rest-high-level', configuration: 'shadow')
```
You can instead use the much more normal:
```
testCompile "org.elasticsearch.client:elasticsearch-rest-high-level-client:${version}"
```
* Add relevant documentation for FIPS 140-2 compliance.
* Introduce `fips_mode` setting.
* Discuss necessary configuration for FIPS 140-2
* Discuss introduced limitations by FIPS 140-2
* [DOCS] Add configurable password hashing docs
Adds documentation about the newly introduced configuration option
for setting the password hashing algorithm to be used for the users
cache and for storing credentials for the native and file realm.
This commit adds troubleshooting section for Kerberos.
Most of the times the problems seen are caused due to invalid
configurations like keytab missing principals or credentials
not up to date. Time synchronization is an important part for
Kerberos infrastructure and the time skew can cause problems.
To debug further documentation explains how to enable JAAS
Kerberos login module debugging and Kerberos/SPNEGO debugging
by setting JVM system properties.
This commit adds documentation for configuring Kerberos realm.
Configuring Kerberos realm documentation highlights important
terminology and requirements before creating Kerberos realm.
Most of the documentation is centered around configuration from
Elasticsearch rather than go deep into Kerberos implementation.
Kerberos realm settings are mentioned in the security settings
for Kerberos realm.
- Missing links to new IndexCaps API
- Incorrect security permissions on IndexCaps API
- GetJobs API must supply a job (or `_all`), omitting throws error
- Link to search/agg limitations from RollupSearch API
- Tweak URLs in quick reference
- Formatting of overview page
Our rest testing framework has support for sniffing the host metadata on
startup and, before this change, it'd sniff that metadata before running
the first test. This prevents running these tests against
elasticsearch installations that won't support sniffing like Elastic
Cloud. This change allows tests to only sniff for metadata when they
encounter a test with a `node_selector`. These selectors are the things
that need the metadata anyway and they are super rare. Tests that use
these won't be able to run against installations that don't support
sniffing but we can just skip them. In the case of Elastic Cloud, these
tests were never going to work against Elastic Cloud anyway.
Previously, we were using a simple CRC32 for the IDs of rollup documents.
This is a very poor choice however, since 32bit IDs leads to collisions
between documents very quickly.
This commit moves Rollups over to a 128bit ID. The ID is a concatenation
of all the keys in the document (similar to the rolling CRC before),
hashed with 128bit Murmur3, then base64 encoded. Finally, the job
ID and a delimiter (`$`) are prepended to the ID.
This gurantees that there are 128bits per-job. 128bits should
essentially remove all chances of collisions, and the prepended
job ID means that _if_ there is a collision, it stays "within"
the job.
BWC notes:
We can only upgrade the ID scheme after we know there has been a good
checkpoint during indexing. We don't rely on a STARTED/STOPPED
status since we can't guarantee that resulted from a real checkpoint,
or other state. So we only upgrade the ID after we have reached
a checkpoint state during an active index run, and only after the
checkpoint has been confirmed.
Once a job has been upgraded and checkpointed, the version increments
and the new ID is used in the future. All new jobs use the
new ID from the start
This commit introduces "Application Privileges" to the X-Pack security
model.
Application Privileges are managed within Elasticsearch, and can be
tested with the _has_privileges API, but do not grant access to any
actions or resources within Elasticsearch. Their purpose is to allow
applications outside of Elasticsearch to represent and store their own
privileges model within Elasticsearch roles.
Access to manage application privileges is handled in a new way that
grants permission to specific application names only. This lays the
foundation for more OLS on cluster privileges, which is implemented by
allowing a cluster permission to inspect not just the action being
executed, but also the request to which the action is applied.
To support this, a "conditional cluster privilege" is introduced, which
is like the existing cluster privilege, except that it has a Predicate
over the request as well as over the action name.
Specifically, this adds
- GET/PUT/DELETE actions for defining application level privileges
- application privileges in role definitions
- application privileges in the has_privileges API
- changes to the cluster permission class to support checking of request
objects
- a new "global" element on role definition to provide cluster object
level security (only for manage application privileges)
- changes to `kibana_user`, `kibana_dashboard_only_user` and
`kibana_system` roles to use and manage application privileges
Closes#29820Closes#31559
This bundles the x-pack:protocol project into the x-pack:plugin:core
project because we'd like folks to consider it an implementation detail
of our build rather than a separate artifact to be managed and depended
on. It is now bundled into both x-pack:plugin:core and
client:rest-high-level. To make this work I had to fix a few things.
Firstly, I had to make PluginBuildPlugin work with the shadow plugin.
In that case we have to bundle only the `shadow` dependencies and the
shadow jar.
Secondly, every reference to x-pack:plugin:core has to use the `shadow`
configuration. Without that the reference is missing all of the
un-shadowed dependencies. I tried to make it so that applying the shadow
plugin automatically redefines the `default` configuration to mirror the
`shadow` configuration which would allow us to use bare project references
to the x-pack:plugin:core project but I couldn't make it work. It'd *look*
like it works but then fail for transitive dependencies anyway. I think
it is still a good thing to do but I don't have the willpower to do it
now.
Finally, I had to fix an issue where Eclipse and IntelliJ didn't properly
reference shadowed transitive dependencies. Neither IDE supports shadowing
natively so they have to reference the shadowed projects. We fix this by
detecting `shadow` dependencies when in "Intellij mode" or "Eclipse mode"
and adding `runtime` dependencies to the same target. This convinces
IntelliJ and Eclipse to play nice.
Resolving wildcards in aliases expression is challenging as we may end
up with no aliases to replace the original expression with, but if we
replace with an empty array that means _all which is quite the opposite.
Now that we support and serialize the original requested aliases,
whenever aliases are replaced we will be able to know what was
initially requested. `MetaData#findAliases` can then be updated to not
return anything in case it gets empty aliases, but the original aliases
were not empty. That means that empty aliases are interpreted as _all
only if they were originally requested that way.
Relates to #31516
Remove references to the `platinum` image and add a self-generated trial
licence to the example for TLS on Docker.
Fixeselastic/elasticsearch-docker#176
This introduces a new GetRollupIndexCaps API which allows the user to retrieve rollup capabilities of a specific rollup index (or index pattern). This is distinct from the existing RollupCaps endpoint.
- Multiple jobs can be stored in multiple indices and point to a single target data index pattern (logstash-*). The existing API finds capabilities/config of all jobs matching that data index pattern.
- One rollup index can hold data from multiple jobs, targeting multiple data index patterns. This new API finds the capabilities based on the concrete rollup indices.
There is currently no way to see what user executed a watch. This commit
adds the decrypted username to each execution in the watch history, in a
new field "user".
Closes#31772
We can leverage the composite agg's new `missing_bucket` feature on
terms groupings. This means the aggregation criteria used in the indexer
will now return null buckets for missing keys.
Because all buckets are now returned (even if a key is null),
we can guarantee correct doc counts with
"combined" jobs (where a job rolls up multiple schemas). This was
previously impossible since composite would ignore documents that
didn't have _all_ the keys, meaning non-overlapping schemas would
cause composite to return no buckets.
Note: date_histo does not use `missing_bucket`, since a timestamp is
always required.
The docs have been adjusted to recommend a single, combined job. It
also makes reference to the previous issue to help users that are upgrading
(rather than just deleting the sections).
This change adds stats about forecasts, to the jobstats api as well as xpack/_usage. The following
information is collected:
_xpack/ml/anomaly_detectors/{jobid|_all}/_stats:
- total number of forecasts
- memory statistics (mean/min/max)
- runtime statistics
- record statistics
- counts by status
_xpack/usage
- collected by job status as well as overall (_all):
- total number of forecasts
- number of jobs that have at least 1 forecast
- memory, runtime, record statistics
- counts by status
Fixes#31395
Proper cleanup of the docs snippet tests depends on detecting what is being tested (ML, Watcher, etc) this is deduced from the file path and so we must account for Windows and Unix path separators
We have made node selectors configurable per request, but all
of other language clients don't allow for that.
A good reason not to do so, is that having a different node selector
per request breaks round-robin. This commit makes NodeSelector
configurable only at client initialization. It also improves the docs
on this matter, important given that a single node selector can still
affect round-robin.
Zachary Tong
Jay Modi
Shaunak Kashyap
Tim Vernum
Ioannis Kakavas
Nik Everett
Yogesh Gaikwad
Lisa Cawley
Zachary Tong
debadair
Dimitris Athanasiou
David Kyle
Luca Cavanna
Toby McLaughlin
Michael Basnight
Damien Alexandre
Hendrik Muhs
Alexander Reelsen
Costin Leau