It is possible for a running analytics job that its config is removed
from the '.ml-config' index (perhaps the user deleted the entire index,
etc.). In that case the task remains without a matching config. I have
raised #46781 to discuss how to deal with this issue.
This commit focuses on `MlMemoryTracker` and changes it so that when
we get the configs for the running tasks we leniently ignore missing ones.
This at least means memory tracking will keep working for other jobs
if one or more are missing.
In addition, this commit makes the cleanup code for native analytics
tests more robust by explicitly stopping all jobs and force-stopping
if an error occurs. This helps so that a single failing test does
not cause other tests fail due to pending tasks.
Backport of #46789
Since the `resolveAllDependencies` task resolves all the congfigurations
it can find, this was not caught by our testing, but it's required to be
configuraed specifically.
We should probably cut-over to the new configurations at some point to
avoid problems like this.
Closeselastic/infra#14580
* Give kibana user reserved role privileges on .apm-* to create APM agent configuration index.
* fixed test to include checking all .apm-* permissions
* changed pattern from ".apm-*" to the more specific ".apm-agent-configuration"
When encountering only indices with empty mapping, the IndexResolver
throws an exception as it expects to find at least one entry.
This commit fixes this case so that an empty mapping is returned.
Fix#46757
(cherry picked from commit 5f4f5807acb93b5fab36718c092c328977a396b6)
* Write metadata during snapshot finalization after segment files to prevent outdated metadata in case of dynamic mapping updates as explained in #41581
* Keep the old behavior of writing the metadata beforehand in the case of mixed version clusters for BwC reasons
* Still overwrite the metadata in the end, so even a mixed version cluster is fixed by this change if a newer version master does the finalization
* Fixes#41581
Handle queries with implicit GROUP BY where the aggregation is not in
the projection/SELECT but inside the filter/HAVING such as:
SELECT 1 FROM x HAVING COUNT(*) > 0
The engine now properly identifies the case and handles it accordingly.
Fix#37051
(cherry picked from commit fa53ca05d8219c27079b50b4a5b7aeb220c7cde2)
Improve the defensive behavior of ResultSet when dealing with incorrect
API usage. In particular handle the case of dealing with no row
available (either because the cursor is before the first entry or after
the last).
Fix#46750
(cherry picked from commit 58fa38e4606625962e879265d35eacb0960c6cdb)
* [ILM] Add date setting to calculate index age
Add the `index.lifecycle.origination_date` to allow users to configure a
custom date that'll be used to calculate the index age for the phase
transmissions (as opposed to the default index creation date).
This could be useful for users to create an index with an "older"
origination date when indexing old data.
Relates to #42449.
* [ILM] Don't override creation date on policy init
The initial approach we took was to override the lifecycle creation date
if the `index.lifecycle.origination_date` setting was set. This had the
disadvantage of the user not being able to update the `origination_date`
anymore once set.
This commit changes the way we makes use of the
`index.lifecycle.origination_date` setting by checking its value when
we calculate the index age (ie. at "read time") and, in case it's not
set, default to the index creation date.
* Make origination date setting index scope dynamic
* Document orignation date setting in ilm settings
(cherry picked from commit d5bd2bb77ee28c1978ab6679f941d7c02e389d32)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
When the stop API is called while the task is running there is
a chance the task gets marked completed twice. This may cause
undesired side effects, like indexing the progress document a second
time after the stop API has returned (the cause for #46705).
This commit adds a check that the task has not been completed before
proceeding to mark it so. In addition, when we update the task's state
we could get some warnings that the task was missing if the stop API
has been called in the meantime. We now check the errors are
`ResourceNotFoundException` and ignore them if so.
Closes#46705
Backports #46721
We renew the CCR retention lease at a fixed interval, therefore it's
possible to have more than one in-flight renewal requests at the same
time. If requests arrive out of order, then the assertion is violated.
Closes#46416Closes#46013
This is fixing a bug where if an analytics job is started before any
anomaly detection job is opened, we create an index after the state
write alias.
Instead, we should create the state index and alias before starting
an analytics job and this commit makes sure this is the case.
Backport of #46602
This makes the AllocatedPersistentTask#init() method protected so that
implementing classes can perform their initialization logic there,
instead of the constructor. Rollup's task is adjusted to use this
init method.
It also slightly refactors the methods to se a static logger in the
AllocatedTask instead of passing it in via an argument. This is
simpler, logged messages come from the task instead of the
service, and is easier for tests
DATE_TRUNC(<truncate field>, <date/datetime>) is a function that allows
the user to truncate a timestamp to the specified field by zeroing out
the rest of the fields. The function is implemented according to the
spec from PostgreSQL: https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TRUNCCloses: #46319
(cherry picked from commit b37e96712db1aace09f17b574eb02ff6b942a297)
The sql project uses a common set of security tests, which are run in
subprojects. Currently these are shared through a shared directory, but
this is not setup correctly to ensure it is built before tests run. This
commit changes the test classes to be an artifact of the sql/qa/security
project and makes the test runner use the built artifact (a directory of
classes) for tests.
closes#45866
Since the `IndicesSegmentsRequest` scatters to all shards for the index,
it's possible that some of the shards may fail. This adds failure
handling and logging (since this is a best-effort step in the first
place) for this case.
Many scalar functions try to find out the common type between their
arguments in order to set it as their return time, e.g.:
for `float + double` the common type which is set as the return type
of the + operation is `double`.
Previously, for data types TEXT and KEYWORD (string data types) there
was no common data type found and null was returned causing NPEs when
the function was trying to resolve the return data type.
Fixes: #46551
(cherry picked from commit 291017d69dfc810707c3c7c692f5a50af431b790)
This commit adds a wait/check for all running snapshots to be cleared
before taking another snapshot. The previous snapshot was successful but
had not yet been cleared from the cluster state, so the second snapshot
failed due to a `ConcurrentSnapshotException`.
Resolves#46508
After starting the analytics job and checking its state
the state can be any of "started", "reindexing" or
"analyzing" depending on how quickly the work is done.
When upgrading data nodes to a newer version before
master nodes there was a risk that a transform running
on an upgraded data node would index a document into
the new transforms internal index before its index
template was created. This would cause the index to
be created with entirely dynamic mappings.
This change introduces a check before indexing any
internal transforms document to ensure that the required
index template exists and create it if it doesn't.
Backport of #46553
This commit replaces the `SearchContext` with the `QueryShardContext` when building aggregator factories. Aggregator factories are part of the `SearchContext` so they shouldn't require a `SearchContext` to create them.
The main changes here are the signatures of `AggregationBuilder#build` that now takes a `QueryShardContext` and `AggregatorFactory#createInternal` that passes the `SearchContext` to build the `Aggregator`.
Relates #46523
rename data frame transform plugin to transform:
- rename plugin data-frame to transform
- change all package names from o.e.*.dataframe.* to o.e.*.transform.*
- necessary changes to fix loading/testing
* More Efficient Ordering of Shard Upload Execution (#42791)
* Change the upload order of of snapshots to work file by file in parallel on the snapshot pool instead of merely shard-by-shard
* Inspired by #39657
* Cleanup BlobStoreRepository Abort and Failure Handling (#46208)
This change adds an IndexSearcher and the node's BigArrays in the QueryShardContext.
It's a spin off of #46527 as this change is required to allow aggregation builder to solely use the
query shard context.
Relates #46523
Investigating the test failure reported in #45518 it appears that
the datafeed task was not found during a tast state update. There
are only two places where such an update is performed: when we set
the state to `started` and when we set it to `stopping`. We handle
`ResourceNotFoundException` in the latter but not in the former.
Thus the test reveals a rare race condition where the datafeed gets
requested to stop before we managed to update its state to `started`.
I could not reproduce this scenario but it would be my best guess.
This commit catches `ResourceNotFoundException` while updating the
state to `started` and lets the task terminate smoothly.
Closes#45518
Backport of #46495
We depend on file realms being unique in a number of places. Pre
7.0 this was enforced by the fact that the multiple realm types
with different name would mean identical configuration keys and
cause configuration parsing errors. Since we intoduced affix
settings for realms this is not the case any more as the realm type
is part of the configuration key.
This change adds a check when building realms which will explicitly
fail if multiple realms are defined with the same name.
Backport of #46253
This changes API-Key authentication to always fallback to the realm
chain if the API key is not valid. The previous behaviour was
inconsistent and would terminate on some failures, but continue to the
realm chain for others.
Backport of: #46538
This class has been using a logger configured for a different class for
quite a while. While the circumstance in which it logs is rare, it
should still use the correct logger.
* Add retention to Snapshot Lifecycle Management (#46407)
This commit adds retention to the existing Snapshot Lifecycle Management feature (#38461) as described in #43663. This allows a user to configure SLM to automatically delete older snapshots based on a number of criteria.
An example policy would look like:
```
PUT /_slm/policy/snapshot-every-day
{
"schedule": "0 30 2 * * ?",
"name": "<production-snap-{now/d}>",
"repository": "my-s3-repository",
"config": {
"indices": ["foo-*", "important"]
},
// Newly configured retention options
"retention": {
// Snapshots should be deleted after 14 days
"expire_after": "14d",
// Keep a maximum of thirty snapshots
"max_count": 30,
// Keep a minimum of the four most recent snapshots
"min_count": 4
}
}
```
SLM Retention is run on a scheduled configurable with the `slm.retention_schedule` setting, which supports cron expressions. Deletions are run for a configurable time bounded by the `slm.retention_duration` setting, which defaults to 1 hour.
Included in this work is a new SLM stats API endpoint available through
``` json
GET /_slm/stats
```
That returns statistics about snapshot taken and deleted, as well as successful retention runs, failures, and the time spent deleting snapshots. #45362 has more information as well as an example of the output. These stats are also included when retrieving SLM policies via the API.
* Add base framework for snapshot retention (#43605)
* Add base framework for snapshot retention
This adds a basic `SnapshotRetentionService` and `SnapshotRetentionTask`
to start as the basis for SLM's retention implementation.
Relates to #38461
* Remove extraneous 'public'
* Use a local var instead of reading class var repeatedly
* Add SnapshotRetentionConfiguration for retention configuration (#43777)
* Add SnapshotRetentionConfiguration for retention configuration
This commit adds the `SnapshotRetentionConfiguration` class and its HLRC
counterpart to encapsulate the configuration for SLM retention.
Currently only a single parameter is supported as an example (we still
need to discuss the different options we want to support and their
names) to keep the size of the PR down. It also does not yet include version serialization checks
since the original SLM branch has not yet been merged.
Relates to #43663
* Fix REST tests
* Fix more documentation
* Use Objects.equals to avoid NPE
* Put `randomSnapshotLifecyclePolicy` in only one place
* Occasionally return retention with no configuration
* Implement SnapshotRetentionTask's snapshot filtering and delet… (#44764)
* Implement SnapshotRetentionTask's snapshot filtering and deletion
This commit implements the snapshot filtering and deletion for
`SnapshotRetentionTask`. Currently only the expire-after age is used for
determining whether a snapshot is eligible for deletion.
Relates to #43663
* Fix deletes running on the wrong thread
* Handle missing or null policy in snap metadata differently
* Convert Tuple<String, List<SnapshotInfo>> to Map<String, List<SnapshotInfo>>
* Use the `OriginSettingClient` to work with security, enhance logging
* Prevent NPE in test by mocking Client
* Allow empty/missing SLM retention configuration (#45018)
Semi-related to #44465, this allows the `"retention"` configuration map
to be missing.
Relates to #43663
* Add min_count and max_count as SLM retention predicates (#44926)
This adds the configuration options for `min_count` and `max_count` as
well as the logic for determining whether a snapshot meets this criteria
to SLM's retention feature.
These options are optional and one, two, or all three can be specified
in an SLM policy.
Relates to #43663
* Time-bound deletion of snapshots in retention delete function (#45065)
* Time-bound deletion of snapshots in retention delete function
With a cluster that has a large number of snapshots, it's possible that
snapshot deletion can take a very long time (especially since deletes
currently have to happen in a serial fashion). To prevent snapshot
deletion from taking forever in a cluster and blocking other operations,
this commit adds a setting to allow configuring a maximum time to spend
deletion snapshots during retention. This dynamic setting defaults to 1
hour and is best-effort, meaning that it doesn't hard stop a deletion
at an hour mark, but ensures that once the time has passed, all
subsequent deletions are deferred until the next retention cycle.
Relates to #43663
* Wow snapshots suuuure can take a long time.
* Use a LongSupplier instead of actually sleeping
* Remove TestLogging annotation
* Remove rate limiting
* Add SLM metrics gathering and endpoint (#45362)
* Add SLM metrics gathering and endpoint
This commit adds the infrastructure to gather metrics about the different SLM actions that a cluster
takes. These actions are stored in `SnapshotLifecycleStats` and perpetuated in cluster state. The
stats stored include the number of snapshots taken, failed, deleted, the number of retention runs,
as well as per-policy counts for snapshots taken, failed, and deleted. It also includes the amount
of time spent deleting snapshots from SLM retention.
This commit also adds an endpoint for retrieving all stats (further commits will expose this in the
SLM get-policy API) that looks like:
```
GET /_slm/stats
{
"retention_runs" : 13,
"retention_failed" : 0,
"retention_timed_out" : 0,
"retention_deletion_time" : "1.4s",
"retention_deletion_time_millis" : 1404,
"policy_metrics" : {
"daily-snapshots2" : {
"snapshots_taken" : 7,
"snapshots_failed" : 0,
"snapshots_deleted" : 6,
"snapshot_deletion_failures" : 0
},
"daily-snapshots" : {
"snapshots_taken" : 12,
"snapshots_failed" : 0,
"snapshots_deleted" : 12,
"snapshot_deletion_failures" : 6
}
},
"total_snapshots_taken" : 19,
"total_snapshots_failed" : 0,
"total_snapshots_deleted" : 18,
"total_snapshot_deletion_failures" : 6
}
```
This does not yet include HLRC for this, as this commit is quite large on its own. That will be
added in a subsequent commit.
Relates to #43663
* Version qualify serialization
* Initialize counters outside constructor
* Use computeIfAbsent instead of being too verbose
* Move part of XContent generation into subclass
* Fix REST action for master merge
* Unused import
* Record history of SLM retention actions (#45513)
This commit records the deletion of snapshots by the retention component
of SLM into the SLM history index for the purposes of reviewing operations
taken by SLM and alerting.
* Retry SLM retention after currently running snapshot completes (#45802)
* Retry SLM retention after currently running snapshot completes
This commit adds a ClusterStateObserver to wait until the currently
running snapshot is complete before proceeding with snapshot deletion.
SLM retention waits for the maximum allowed deletion time for the
snapshot to complete, however, the waiting time is not factored into
the limit on actual deletions.
Relates to #43663
* Increase timeout waiting for snapshot completion
* Apply patch
From 2374316f0d.patch
* Rename test variables
* [TEST] Be less strict for stats checking
* Skip SLM retention if ILM is STOPPING or STOPPED (#45869)
This adds a check to ensure we take no action during SLM retention if
ILM is currently stopped or in the process of stopping.
Relates to #43663
* Check all actions preventing snapshot delete during retention (#45992)
* Check all actions preventing snapshot delete during retention run
Previously we only checked to see if a snapshot was currently running,
but it turns out that more things can block snapshot deletion. This
changes the check to be a check for:
- a snapshot currently running
- a deletion already in progress
- a repo cleanup in progress
- a restore currently running
This was found by CI where a third party delete in a test caused SLM
retention deletion to throw an exception.
Relates to #43663
* Add unit test for okayToDeleteSnapshots
* Fix bug where SLM retention task would be scheduled on every node
* Enhance test logging
* Ignore if snapshot is already deleted
* Missing import
* Fix SnapshotRetentionServiceTests
* Expose SLM policy stats in get SLM policy API (#45989)
This also adds support for the SLM stats endpoint to the high level rest client.
Retrieving a policy now looks like:
```json
{
"daily-snapshots" : {
"version": 1,
"modified_date": "2019-04-23T01:30:00.000Z",
"modified_date_millis": 1556048137314,
"policy" : {
"schedule": "0 30 1 * * ?",
"name": "<daily-snap-{now/d}>",
"repository": "my_repository",
"config": {
"indices": ["data-*", "important"],
"ignore_unavailable": false,
"include_global_state": false
},
"retention": {}
},
"stats": {
"snapshots_taken": 0,
"snapshots_failed": 0,
"snapshots_deleted": 0,
"snapshot_deletion_failures": 0
},
"next_execution": "2019-04-24T01:30:00.000Z",
"next_execution_millis": 1556048160000
}
}
```
Relates to #43663
* Rewrite SnapshotLifecycleIT as as ESIntegTestCase (#46356)
* Rewrite SnapshotLifecycleIT as as ESIntegTestCase
This commit splits `SnapshotLifecycleIT` into two different tests.
`SnapshotLifecycleRestIT` which includes the tests that do not require
slow repositories, and `SLMSnapshotBlockingIntegTests` which is now an
integration test using `MockRepository` to simulate a snapshot being in
progress.
Relates to #43663Resolves#46205
* Add error logging when exceptions are thrown
* Update serialization versions
* Fix type inference
* Use non-Cancellable HLRC return value
* Fix Client mocking in test
* Fix SLMSnapshotBlockingIntegTests for 7.x branch
* Update SnapshotRetentionTask for non-multi-repo snapshot retrieval
* Add serialization guards for SnapshotLifecyclePolicy
This commit changes the SSLContext for the email server we use in
the tests so that it loads its key material from an in memory
keystore (that is in turn built from a pair of PEM encoded private key
and certificate) instead of a PKCS#12 one. This is done so that when
we run our tests in FIPS 140-2 JVMs, the keystore is of a type that the
Security Provider actually supports.
This also mutes testCanSendMessageToSmtpServerByDisablingVerification
as we can't run tests with verification set to `none` in FIPS 140
JVMs.
* Fix issue with painless scripting not being correctly generated when
datetime functions are used for GROUPing of an INTERVAL operation.
(cherry picked from commit cb92828e8ec9d9d241bd6189e5835fd99f8b9a44)
ML users who upgrade from versions prior to 7.4 to 7.4 or later
will have ML results indices that do not have mappings for the
total_search_time_ms field. Therefore, when searching these
indices we must tolerate this field not having a mapping.
Fixes#46437
This refactors `DataFrameAnalyticsTask` into its own class.
The task has quite a lot of functionality now and I believe it would
make code more readable to have it live as its own class rather than
an inner class of the start action class.
Backport of #46402
* [ML][Transforms] fixing rolling upgrade continuous transform test (#45823)
* [ML][Transforms] fixing rolling upgrade continuous transform test
* adjusting wait assert logic
* adjusting wait conditions
* [ML][Transforms] allow executor to call start on started task (#46347)
* making sure we only upgrade from 7.4.0 in test
* [ML] waiting for ml indices before waiting task assignment testFullClusterRestart
* waiting for a stable cluster after fullrestart
* removing unused imports
This commit initializes DocumentSubsetBitsetCache even if DLS
is disabled. Previously it would throw null pointer when querying
usage stats if we explicitly disabled DLS as there would be no instance of DocumentSubsetBitsetCache to query. It is okay to initialize
DocumentSubsetBitsetCache which will be empty as the license enforcement
would prevent usage of DLS feature and it will not fail when accessing usage stats.
Closes#45147
This PR merges the `vectors-optimize-brute-force` feature branch, which makes
the following changes to how vector functions are computed:
* Precompute the L2 norm of each vector at indexing time. (#45390)
* Switch to ByteBuffer for vector encoding. (#45936)
* Decode vectors and while computing the vector function. (#46103)
* Use an array instead of a List for the query vector. (#46155)
* Precompute the normalized query vector when using cosine similarity. (#46190)
Co-authored-by: Mayya Sharipova <mayya.sharipova@elastic.co>
As per #45852 comment we no longer need to log stack-traces in
SecurityTransportExceptionHandler and SecurityHttpExceptionHandler even
if trace logging is enabled.
(cherry picked from commit c99224a32d26db985053b7b36e2049036e438f97)
The test seems to have been failing due to a race condition between
stopping the task and refreshing the destination index. In particular,
we were going forward with refreshing the destination index even
though the task stopped in the meantime. This was fixed in
request.
Closes#43960
Backport of #46271
Previously, when the condition (1st argument) of the IIF function could
be evaluated (folded) to false, the `IfConditional` was eliminated which
caused `IndexOutOfBoundsException` to be thrown when `info()` and
`resolveType()` methods where called.
Fixes: #46268
(cherry picked from commit 9a885a3ac47bc8f52c07770d1d8d670ce0af1e59)
* [ML][Transforms] fixing stop on changes check bug
* Adding new method finishAndCheckState to cover race conditions in early terminations
* changing stopping conditions in `onStart`
* allow indexer to finish when exiting early
Fixes a problem where operations_behind would be one less than
expected per shard in a new index matched by the data frame
transform source pattern.
For example, if a data frame transform had a source of foo*
and a new index foo-new was created with 2 shards and 7 documents
indexed in it then operations_behind would be 5 prior to this
change.
The problem was that an empty index has a global checkpoint
number of -1 and the sequence number of the first document that
is indexed into an index is 0, not 1. This doesn't matter for
indices included in both the last and next checkpoints, as the
off-by-one errors cancelled, but for a new index it affected
the observed result.
Fix test issue to stabilise scoring through use of DFS search mode.
Randomised index-then-delete docs introduced by the test framework likely caused an imbalance in IDF scores across shards. Also made number of shards used in test a random number for added test coverage.
Closes#46174
Previously, if the DataType of all the WHEN conditions of a CASE
statement is NULL, then it was set to NULL even if the ELSE clause
has a non-NULL data type, e.g.:
```
CASE WHEN a = 1 THEN NULL
WHEN a = 5 THEN NULL
ELSE 'foo'
```
Fixes: #46032
(cherry picked from commit 8c1012efbbd3a300afd0dfb9b18250f15ea753f9)
Though we allow CCS within datafeeds, users could prevent nodes from accessing remote clusters. This can cause mysterious errors and difficult to troubleshoot.
This commit adds a check to verify that `cluster.remote.connect` is enabled on the current node when a datafeed is configured with a remote index pattern.
* [ML] Regression dependent variable must be numeric
This adds a validation that the dependent variable of a regression
analysis must be numeric.
* Address review comments and fix some problems
In addition to addressing the review comments, this
commit fixes a few issues I found during testing.
In particular:
- if there were mappings for required fields but they were
not included we were not reporting the error
- if explicitly included fields had unsupported types we were
not reporting the error
Unfortunately, I couldn't get those fixed without refactoring
the code in `ExtractedFieldsDetector`.
Today we might carry on a big merge uncommitted and therefore
occupy a significant amount of diskspace for quite a long time
if for instance indexing load goes down and we are not quickly
reaching the translog size threshold. This change will cause a
flush if we hit a significant merge (512MB by default) which
frees diskspace sooner.
If a CCR lease is disappeared while we are renewing it, then we will
issue asyncAddRetentionLease to add that lease. And if
asyncAddRetentionLease takes longer than retentionLeaseRenewInterval,
then we can issue another asyncAddRetentionLease request. One of
asyncAddRetentionLease requests will fail with
RetentionLeaseAlreadyExistsException, hence trip the assertion.
Closes#45192
This commit adds the `rollover_alias` setting required for ILM to work
correctly to the SLM history index template and adds assertions to the
SLM integration tests to ensure that it works correctly.
Currently, when using script_score functions like cosineSimilarity, the query
vector is treated as an array of doubles. Since the stored document vectors use
floats, it seems like the least surprising behavior for the query vectors to
also be float arrays.
In addition to improving consistency, this change may help with some
optimizations we have been considering around vector dot product.
This commit adds support for `boolean` fields in data frame
analytics (and currently both outlier detection and regression).
The analytics process expects `boolean` fields to be encoded as
integers with 0 or 1 value.
Prior to this commit the foreach action execution had a hard coded
limit to 100 iterations. This commit allows the max number of
iterations to be a configuration ('max_iterations') on the foreach
action. The default remains 100.
Adds a parameter `training_percent` to regression. The default
value is `100`. When the parameter is set to a value less than `100`,
from the rows that can be used for training (ie. those that have a
value for the dependent variable) we randomly choose whether to actually
use for training. This enables splitting the data into a training set and
the rest, usually called testing, validation or holdout set, which allows
for validating the model on data that have not been used for training.
Technically, the analytics process considers as training the data that
have a value for the dependent variable. Thus, when we decide a training
row is not going to be used for training, we simply clear the row's
dependent variable.
The existing privilege model for API keys with privileges like
`manage_api_key`, `manage_security` etc. are too permissive and
we would want finer-grained control over the cluster privileges
for API keys. Previously APIs created would also need these
privileges to get its own information.
This commit adds support for `manage_own_api_key` cluster privilege
which only allows api key cluster actions on API keys owned by the
currently authenticated user. Also adds support for retrieval of
the API key self-information when authenticating via API key
without the need for the additional API key privileges.
To support this privilege, we are introducing additional
authentication context along with the request context such that
it can be used to authorize cluster actions based on the current
user authentication.
The API key get and invalidate APIs introduce an `owner` flag
that can be set to true if the API key request (Get or Invalidate)
is for the API keys owned by the currently authenticated user only.
In that case, `realm` and `username` cannot be set as they are
assumed to be the currently authenticated ones.
The changes cover HLRC changes, documentation for the API changes.
Closes#40031
This commit introduces PKI realm delegation. This feature
supports the PKI authentication feature in Kibana.
In essence, this creates a new API endpoint which Kibana must
call to authenticate clients that use certificates in their TLS
connection to Kibana. The API call passes to Elasticsearch the client's
certificate chain. The response contains an access token to be further
used to authenticate as the client. The client's certificates are validated
by the PKI realms that have been explicitly configured to permit
certificates from the proxy (Kibana). The user calling the delegation
API must have the delegate_pki privilege.
Closes#34396
This adds a pipeline aggregation that calculates the cumulative
cardinality of a field. It does this by iteratively merging in the
HLL sketch from consecutive buckets and emitting the cardinality up
to that point.
This is useful for things like finding the total "new" users that have
visited a website (as opposed to "repeat" visitors).
This is a Basic+ aggregation and adds a new Data Science plugin
to house it and future advanced analytics/data science aggregations.
The native process requires that there be a non-zero number of rows to analyze. If the flag --rows 0 is passed to the executable, it throws and does not start.
When building the configuration for the process we should not start the native process if there are no rows.
Adding some logging to indicate what is occurring.
* Watcher add email warning if CSV attachment contains formulas (#44460)
This commit introduces a Warning message to the emails generated by
Watcher's reporting action. This change complements Kibana's CSV
formula notifications (see elastic/kibana#37930).
This is implemented by reading a header (kbn-csv-contains-formulas)
provided by Kibana to notify to attach the Warning to the email.
The wording of the warning is borrowed from Kibana's UI and may
be overridden by a dynamic setting
xpack.notification.reporting.warning.kbn-csv-contains-formulas.text.
This warning is enabled by default, but may be disabled via a
dynamic setting xpack.notification.reporting.warning.enabled.
As of #43939 Watcher tests now correctly block until all Watch executions
kicked off by that test are finished. Prior we allowed tests to finish with
outstanding watch executions. It was known that this would increase the
time needed to finish a test. However, running the tests on CI can be slow
and on at least 1 occasion it took 60s to actually finish.
This PR simply increases the max allowable timeout for Watcher tests
to clean up after themselves.
Today if non-TLS record is received on TLS port generic exception will
be logged with the stack-trace.
SSLExceptionHelper.isNotSslRecordException method does not work because
it's assuming that NonSslRecordException would be top-level.
This commit addresses the issue and the log would be more concise.
(cherry picked from commit 6b83527bf0c23d4d5b97fab7f290c43432945d4f)
This commit allows the Transport Actions for the SSO realms to
indicate the realm that should be used to authenticate the
constructed AuthenticationToken. This is useful in the case that
many authentication realms of the same type have been configured
and where the caller of the API(Kibana or a custom web app) already
know which realm should be used so there is no need to iterate all
the realms of the same type.
The realm parameter is added in the relevant REST APIs as optional
so as not to introduce any breaking change.
Previously, the stats API reports a progress percentage
for DF analytics tasks that are running and are in the
`reindexing` or `analyzing` state.
This means that when the task is `stopped` there is no progress
reported. Thus, one cannot distinguish between a task that never
run to one that completed.
In addition, there are blind spots in the progress reporting.
In particular, we do not account for when data is loaded into the
process. We also do not account for when results are written.
This commit addresses the above issues. It changes progress
to being a list of objects, each one describing the phase
and its progress as a percentage. We currently have 4 phases:
reindexing, loading_data, analyzing, writing_results.
When the task stops, progress is persisted as a document in the
state index. The stats API now reports progress from in-memory
if the task is running, or returns the persisted document
(if there is one).
Dimitris Athanasiou
Alpar Torok
Lee Hinman
Oliver Gupte
Costin Leau
Armin Braun
Tomas Della Vedova
Przemysław Witek
Benjamin Trent
Andrei Stefan
Hendrik Muhs
Andrei Dan
Nhat Nguyen
Luca Cavanna
Zachary Tong
James Rodewig
Marios Trivyzas
Ryan Ernst
David Roberts
Jim Ferenczi
Ioannis Kakavas
Tim Vernum
Gordon Brown
Yogesh Gaikwad
Julie Tibshirani
Andrey Ershov
Ignacio Vera
markharwood
Alexander Reelsen
Simon Willnauer
Tal Levy
Mark Tozzi
Jake Landis
Albert Zaharovits
Jason Tedor