* Add Kibana application privileges for monitoring and ml reserved roles
* Adding test for kibana-.kibana application explicitly
* Whoa there, fat fingered kibana and application...
* And I copied something from monitoring I shouldn't have...
* And actually doing what Yogesh recommended...
The security index had a few "object" types with
"dynamic": true
However, this automatically creates a mapping for each field that is
created within those objects. This means that types are dynamically
inferred and "locked in" for future updates.
Instead we want "dynamic": false which will allow us to store a range
of fields in these nested objects and retrieve them from the source,
without creating mapping types for those fields.
Backport of: #40499
Many gradle projects specifically use the -try exclude flag, because
there are many cases where auto-closeable resource ignore is never
referenced in body of corresponding try statement. Suppressing this
warning specifically in each case that it happens using
`@SuppressWarnings("try")` would be very verbose.
This change removes `-try` from any gradle project and adds it to the
build plugin. Also this change removes exclude flags from gradle projects
that is already specified in build plugin (for example -deprecation).
Relates to #40366
When translating the original aggregation for the rollup indices,
the timezone of the date histogram is validated against the rollup
job but the value is not copied in the newly created date_histogram.
Prior to this PR, there is a bug in ILM which does not allow ILM to stop
if one or more indices have an index.lifecycle.name which refers to
a policy that does not exist - the operation_mode will be stuck as
STOPPING until either the policy is created or the nonexistent
policy is removed from those indices.
This change allows ILM to stop in this case and makes the logging more
clear as to why ILM is not stopping.
By default, in integ tests we wait for the standalone cluster to start
by using the ant Get task to retrieve the cluster health endpoint.
However the ant task has no facilities for customising the trusted
CAs for a https resource, so if the integ test cluster has TLS enabled
on the http interface (using a custom CA) we need a separate utility
for that purpose.
Backport of: #40573
This change adds information about which UI path
(if any) created ML anomaly detector jobs to the
stats returned by the _xpack/usage endpoint.
Counts for the following possibilities are expected:
* ml_module_apache_access
* ml_module_apm_transaction
* ml_module_auditbeat_process_docker
* ml_module_auditbeat_process_hosts
* ml_module_nginx_access
* ml_module_sample
* multi_metric_wizard
* population_wizard
* single_metric_wizard
* unknown
The "unknown" count is for jobs that do not have a
created_by setting in their custom_settings.
Closes#38403
After `TIME` SQL data type is introduced, implement
`CURRENT_TIME/CURTIME` functions similarly to CURRENT_TIMESTAMP
that return the system's current time (only, without the date part).
Closes: #40468
(cherry picked from commit 9feede781409d0e264ce45951a25b28ff129b187)
It is possible to have SSL enabled but security disabled if security
was dynamically disabled by the license type (e.g. trial license).
e.g. In the following configuration:
xpack.license.self_generated.type: trial
# xpack.security not set, default to disabled on trial
xpack.security.transport.ssl.enabled: true
The security feature will be reported as
available: true
enabled: false
And in this case, SSL will be active even though security is not
enabled.
This commit causes the X-Pack feature usage to report the state of the
"ssl" features unless security was explicitly disabled in the
settings.
Backport of: #40672
TimeProcessor didn't implement `getWriteableName()` so the one from
the parent was used which returned the `NAME` of the parent. This
caused `TimeProcessor` objects to be deserialised into
DateTimeProcessor.
Moreover, added a restriction to run the TIME related integration tests
only in UTC timezone.
Fixes: #40717
(cherry picked from commit cfea348bec20e547df72c415cccd85279accb767)
A full format for a DATETIME would be:
`2019-03-30T10:20:30.123+10:00` which is 29 chars long.
For DATE a full format would be: `2019-03-30T00:00:00.000+10:00`
which is also 29 chars long.
(cherry picked from commit 6be83964ed025528778bca8d35692762e166983b)
It is important that resync actions are not rejected on the primary even if its
`write` threadpool is overloaded. Today we do this by exposing
`registerRequestHandlers` to subclasses and overriding it in
`TransportResyncReplicationAction`. This isn't ideal because it obscures the
difference between this action and other replication actions, and also might
allow subclasses to try and use some state before they are properly
initialised. This change replaces this override with a constructor parameter to
solve these issues.
Relates #40706
* [ML] Add mappings, serialization, and hooks to persist stats
* Adding tests for transforms without tasks having stats persisted
* intermittent commit
* Adjusting usage stats to account for stored stats docs
* Adding tests for id expander
* Addressing PR comments
* removing unused import
* adding shard failures to the task response
We enforced the timezone of range queries when using the rollup
search endpoint, but this validation is not needed. Since
rollup dates are stored in UTC, and range queries are always
converted to UTC (even if specifying a `time_zone`) the validation
is not needed and can prevent legitimate queries from running.
Previously we only set the latch countdown with `nextStep.setLatch` after the
cluster state change has already been counted down. However, it's possible
execution could have already started, causing the latch to be missed when the
`MockAsyncActionStep` is being executed.
This moves the latch setting to be before the call to
`runPolicyAfterStateChange`, which means it is always available when the
`MockAsyncActionStep` is executed.
I was able to reproduce the failure every 30-40 runs before this change. With
this change, running 2000+ times the test passes.
Resolves#40018
* [ML] Addressing bug streaming DatafeedConfig aggs from (<= 6.5.4) -> 6.7.0 (#40610)
* Addressing stream failure and adding tests to catch such in the future
* Add aggs to full cluster restart tests
* Test BWC for datafeeds with and without aggs
The wire serialisation is different for null/non-null
aggs, so it's worth testing both cases.
* Fixing bwc test, removing types
* Fixing BWC test for datafeed
* Update 40_ml_datafeed_crud.yml
* Update build.gradle
This adds a new `role_templates` field to role mappings that is an
alternative to the existing roles field.
These templates are evaluated at runtime to determine which roles should be
granted to a user.
For example, it is possible to specify:
"role_templates": [
{ "template":{ "source": "_user_{{username}}" } }
]
which would mean that every user is assigned to their own role based on
their username.
You may not specify both roles and role_templates in the same role
mapping.
This commit adds support for templates to the role mapping API, the role
mapping engine, the Java high level rest client, and Elasticsearch
documentation.
Due to the lack of caching in our role mapping store, it is currently
inefficient to use a large number of templated role mappings. This will be
addressed in a future change.
Backport of: #39984, #40504
This commit introduces 2 changes to application privileges:
- The validation rules now accept a wildcard in the "suffix" of an application name.
Wildcards were always accepted in the application name, but the "valid filename" check
for the suffix incorrectly prevented the use of wildcards there.
- A role may now be defined against a wildcard application (e.g. kibana-*) and this will
be correctly treated as granting the named privileges against all named applications.
This does not allow wildcard application names in the body of a "has-privileges" check, but the
"has-privileges" check can test concrete application names against roles with wildcards.
Backport of: #40398
Support ANSI SQL's TIME type by introductin a runtime-only
ES SQL time type.
Closes: #38174
(cherry picked from commit 046ccd4cf0a251b2a3ddff6b072ab539a6711900)
This change removes the variants of the rolling upgrade and full
cluster restart tests that use or do not use a system key. These tests
were added during 5.x when the system key was still used for security
and now the system key is only used as the watcher encryption key so
duplicating rolling upgrade and full cluster restarts is not needed.
The change here removes the subprojects for testing these scenarios and
defaults to always run with the watcher sensitive values encrypted for
these tests.
* Have LIKE and RLIKE only use term-level queries (wildcard and regexp respectively). They
are already working only with exact fields, thus be in-line with how
SQL works in general (what you index is what you search on).
(cherry picked from commit 1bba887d481b49db231a1442922f1813952dcc67)
Enable some Ignored integration tests for issues/features that
have already been resolved/implemented.
(cherry picked from commit c23580f477ffc61c5701e14a91006db7bf21a8d4)
Previously, an expression like `10 + 2::long` would be interpreted
as `CAST(10 + 2 AS LONG)` instead of `10 + CAST(2 AS LONG)`.
(cherry picked from commit e34cc2f38b1477e78788ee377938f42cc47187c7)
In some cases the retention leases can return null, causing a
`NullPointerException` when waiting for no followers.
This wraps those so that no NPE is thrown.
Here is an example failure:
```
[2019-03-26T09:24:01,368][ERROR][o.e.x.i.IndexLifecycleRunner] [node-0] policy [deletePolicy] for index [ilm-00001] failed on step [{"phase":"delete","action":"delete","name":"wait-for-shard-history-leases"}]. Moving to ERROR step
java.lang.NullPointerException: null
at org.elasticsearch.xpack.core.indexlifecycle.WaitForNoFollowersStep.lambda$evaluateCondition$0(WaitForNoFollowersStep.java:60) ~[?:?]
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:267) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193) ~[?:1.8.0_191]
at java.util.Spliterators$ArraySpliterator.tryAdvance(Spliterators.java:958) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline.forEachWithCancel(ReferencePipeline.java:126) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.copyIntoWithCancel(AbstractPipeline.java:498) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:485) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471) ~[?:1.8.0_191]
at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:230) ~[?:1.8.0_191]
at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:196) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline.anyMatch(ReferencePipeline.java:449) ~[?:1.8.0_191]
at org.elasticsearch.xpack.core.indexlifecycle.WaitForNoFollowersStep.lambda$evaluateCondition$2(WaitForNoFollowersStep.java:61) ~[?:?]
at org.elasticsearch.action.ActionListener$1.onResponse(ActionListener.java:62) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.ContextPreservingActionListener.onResponse(ContextPreservingActionListener.java:43) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.TransportAction$1.onResponse(TransportAction.java:68) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.TransportAction$1.onResponse(TransportAction.java:64) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.ContextPreservingActionListener.onResponse(ContextPreservingActionListener.java:43) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction.onCompletion(TransportBroadcastByNodeAction.java:383) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction.onNodeResponse(TransportBroadcastByNodeAction.java:352) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction$1.handleResponse(TransportBroadcastByNodeAction.java:324) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction$1.handleResponse(TransportBroadcastByNodeAction.java:314) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.transport.TransportService$ContextRestoreResponseHandler.handleResponse(TransportService.java:1095) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.transport.TransportService$DirectResponseChannel.processResponse(TransportService.java:1176) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
...
```
Replaces the vagrant based kerberos fixtures with docker based test fixtures plugin.
The configuration is now entirely static on the docker side and no longer driven by Gradle,
also two different services are being configured since there are two different consumers of the fixture that can run in parallel and require different configurations.
SYS TABLES meta command has been improved to better adhere to the ODBC
spec in particular with regards to the handling of enumerations (and
the differences between '%', null and ''(empty string))
Fix#40348
(cherry picked from commit e3070615000228c283d17ce8d182b44f1450a5d5)
Replicated closed indices can't be indexed into or searched, and therefore don't need a shard with
full indexing and search capabilities allocated. We can save on a lot of heap memory for those
indices by not allocating a mapper service and caching infrastructure (which preallocates a constant
amount per instance). Before this change, a 1GB ES instance could host 250 replicated closed
metricbeat indices (each index with one shard). After this change, the same instance can host 7300
replicated closed metricbeat instances (not that this would be a recommended configuration). Most
of the remaining memory is in the cluster state and the IndexSettings object.
Previously, `getTime(colIdx/colLabel)` and
`getObject(colIdx/colLabel, java.sql.Time.class)` methods were computing
the time from a `ZonedDateTime` by applying day in millis modulo on the epoch millis
of the `ZonedDateTime` object. This is wrong as we need to keep the time
related fields at the timezone of the `ZonedDateTime` object and just
set the date info to the epoch date (01/01/1970).
Additionally fixes a testing issue as the original timezone id is converted
to an offset string when parsing the response from the server.
* Document MATCH and QUERY function predicates.
* Polish the functions pages and add a list of functions to the main Functions & Operators page.
(cherry picked from commit 4cec0ae1b962ec7ea011a290aec72740386eb808)
Currently the TransportMessageListener is applied and used in the
Transport class. However, local requests and responses never make it to
this class. This PR moves the listener add/remove methods to the
TransportService. After this change the Transport can only have one
listener set with it. This one listener is the TransportService, which
will then propogate the events to the external listeners.
Additionally this commit back ports #40237
Remove Tracer from MockTransportService
Currently the TransportMessageListener is applied and used in the
Transport class. However, local requests and responses never make it to
this class. This PR moves the listener add/remove methods to the
TransportService. After this change the Transport can only have one
listener set with it. This one listener is the TransportService, which
will then propogate the events to the external listeners.
* [ML] Add data frame task state object and field
* A new state item is added so that the overall task state can be
accoutned for
* A new FAILED state and reason have been added as well so that failures
can be shown to the user for optional correction
* Addressing PR comments
* adjusting after master merge
* addressing pr comment
* Adjusting auditor usage with failure state
* Refactor, renamed state items to task_state and indexer_state
* Adding todo and removing redundant auditor call
* Address HLRC changes and PR comment
* adjusting hlrc IT test
create and use unique, deterministic document ids based on the grouping values.
This is a pre-requisite for updating documents as well as preventing duplicates after a hard failure during indexing.
This change removes the use of hardcoded port values for the
idp-fixture in favor of the mapped ephemeral ports. This should prevent
failures due to port conflicts in CI.
Ensure that there is at least a 1s delay between the time that state
is persisted by each of the two jobs in the test.
Model snapshot IDs use the current time in epoch seconds to
distinguish themselves, hence snapshots will be overwritten
by another if it occurs in the same 1s window.
Closes#40347
To avoid having to specify each spec by hand (which can miss specs to be
added), the test infrastructure now performs classpath discovery so that
each spec added, is automatically considered.
Relates #40358
(cherry picked from commit d0f60b4425c731509aa8ca765d55f563f866ef90)
* [ML] make source and dest objects in the transform config
* addressing PR comments
* Fixing compilation post merge
* adding comment for Arrays.hashCode
* addressing changes for moving dest to object
* fixing data_frame yml tests
* fixing API test
Right now, the stats API only provides refresh metrics regarding
internal refreshes. This isn't very useful and somewhat misleading for
cluster administrators since the internal refreshes are not indicative
of documents being available for search.
In this PR I added a new metric for collecting external refreshes as
they occur and exposing them through the stats API. Now, calling an
endpoint for stats will yield external refresh metrics as well.
Relates #36712
Previously, `getDate(int columnIdx)/getDate(String columnLabel)` and
were using legacy`java.util.Calendar` instead of the the `java.time.*`
classes to reset to the start of day. This resulted in different results
for certain timestamps and timezones when calling
`getDate(col)` vs`getObject(col, java.sql.Date)`
Now only the methods (that must be implemented due to the JDBC spec)
`getDate(int columnIdx, Calendar cal)/getDate(String columnLabel, Calendar cal)`
are still using the `java.util.Calendar` for those conversion.
The same change was applied to
`getTime(int columnIdx)/getTime(String columnLabel)`
and
`getTimestamp(int columnIdx)/getTimestamp(String columnLabel)`
Fixes: #40289
(cherry picked from commit 44560671f18397e0c58e3647732880fcb73a5034)
In some cases, a request to perform a retention lease action can arrive
on a primary shard before it is active. In this case, the primary shard
would not yet be in primary mode, tripping an assertion in the
replication tracker. Instead, we should not attempt to perform such
actions on an initializing shard. This commit addresses this by not
returning the primary shard in the single shard iterator if the primary
shard is not yet active.
Previously metric aggregations on date fields would return a double
which caused errors when trying to apply scalar functions on top, e.g.:
```
SELECT YEAR(MAX(date)) FROM test
```
Fixes: #40376
(cherry-picked from commit 41d0a038467fbdbbf67fd9bfdf27623451cae63a)
* Refactor RegexMatch to support both LIKE and RLIKE
* Add integration tests for RLIKE
* Polish the rest of tests
(cherry picked from commit 7562d6eeeb77c04794002649fe726f4b3a9a398b)
Upgrade JLine to 3.10.0
Switch to using JLine granular jars instead of the uber-one
Remove Jansi dependency (due to errors in closing streams)
Pin JNA dependency to our own artifact
Fix#40239
(cherry picked from commit 9afa65fa80111f3b68c13373c7b6db13c11dde31)
Extend CAST to support all data types notations (whether SQL or ES
specific)
Fix#40282
(cherry picked from commit eb2ee8a344da946920598839a5db76c8bb9bc3fe)
Add a checkpoint service for data frame transforms, which allows to ask for a checkpoint of the
source. In future these checkpoints will be stored in the internal index to
- detect upstream changes
- updating the data frame without a full re-run
- allow data frame clients to checkpoint themselves