There was a bug in the geoshape circuit-breaker check where the
hash values array was being allocated before its new size was
accounted for by the circuit breaker.
Fixes#57847.
* Adding new `require_alias` option to indexing requests (#58917)
This commit adds the `require_alias` flag to requests that create new documents.
This flag, when `true` prevents the request from automatically creating an index. Instead, the destination of the request MUST be an alias.
When the flag is not set, or `false`, the behavior defaults to the `action.auto_create_index` settings.
This is useful when an alias is required instead of a concrete index.
closes https://github.com/elastic/elasticsearch/issues/55267
This commit makes DateFieldMapper extend ParametrizedFieldMapper,
declaring its parameters explicitly. As well as changes to DateFieldMapper
itself, there are some changes to dynamic mapping code to ensure that
dynamically detected date formats are passed through to new date mapper
builders.
The ILM policy for the source and shrunk indices run separately (ie. they
are two separate managed indices). This fixes the test which exhibited some
flakiness by allowing some time for the ILM policy for the source index
to finish executing.
(cherry picked from commit c78d5e8499fc5ca2ca1314f97bcc6b55ba06e2e7)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Adds a hard_bounds parameter to explicitly limit the buckets that a histogram
can generate. This is especially useful in case of open ended ranges that can
produce a very large number of buckets.
Implement DATE_PARSE(<date_str>, <pattern_str>) function
which allows to parse a date string according to the specified
pattern into a date object. The patterns allowed are those of
java.time.format.DateTimeFormatter.
Closes#54962
Co-authored-by: Marios Trivyzas <matriv@users.noreply.github.com>
Co-authored-by: Patrick Jiang(白泽) <dreamlike.sky@foxmail.com>
(cherry picked from commit 647a413d9b21bd3938f1716bb19f8407e1334125)
* [ML] add new `custom` field to trained model processors (#59542)
This commit adds the new configurable field `custom`.
`custom` indicates if the preprocessor was submitted by a user or automatically created by the analytics job.
Eventually, this field will be used in calculating feature importance. When `custom` is true, the feature importance for
the processed fields is calculated. When `false` the current behavior is the same (we calculate the importance for the originating field/feature).
This also adds new required methods to the preprocessor interface. If users are to supply their own preprocessors
in the analytics job configuration, we need to know the input and output field names.
Eclipse was confused by #59583. It can't see a the public inner
interface within the superclass. This time. Usually that is fine, but
the Eclipse gods don't like this particular code, I guess.
Using serialization/deserialization when dealing with non-trivial
documents causes the process to get stuck not to mention it is expensive.
Use a much more simple approach at the expense of losing information
(we're just interested in the source after all).
(cherry picked from commit e1659822db7ce1390ba9bbfb21768e24a0907dff)
Previously the concrete type parameters for the MappedFieldType didn't always
match those for the FieldMapper. This PR updates the mappers so that the type
parameters always match, which makes the design easier to follow.
to avoid many error stacktraces in logs during a rolling upgrade.
Stack templates use the composable index template and component APIs,these APIs
aren't supported in 7.7 and earlier and in mixed cluster
environments this can cause a lot of ActionNotFoundTransportException
errors in the logs during rolling upgrades. If these templates
are only installed via elected master node then the APIs are always
there and the ActionNotFoundTransportException errors are then prevented.
When an inference model is loaded it is accounted for in circuit breaker
and should not be released until there are no users of the model. Adds
a reference count to the model to track usage.
Today when mounting a searchable snapshot we obtain the snapshot/index
UUIDs and then assume that these are the UUIDs used during the
subsequent restore. If you concurrently delete the snapshot and replace
it with one with the same name then this assumption is violated, with
chaotic consequences.
This commit introduces a check that ensures that the snapshot UUID does
not change during the mount process. If the snapshot remains in place
then the index UUID necessarily does not change either.
Relates #50999
Case sensitivity is incorporated as a test dimension - instead of
running the same test twice, two different tests are created.
Clean-up the test invocation by removing unused parameters.
Fix#59294
(cherry picked from commit 72c8a3582d8e8a4a663d82814a17a1a3d2757292)
Unfortunately, we cannot guarantee that the execution will be truly
async even with 0ms timeout since we cannot block the execution. So, we need
to modify the test to work in both async and non-async mode.
Closes#59416
Backport of #59525 to 7.x branch.
* Actions are moved to xpack core.
* Transport and rest actions are moved the data-streams module.
* Removed data streams methods from Client interface.
* Adjusted tests to use client.execute(...) instead of data stream specific methods.
* only attempt to delete all data streams if xpack is installed in rest tests
* Now that ds apis are in xpack and ESIntegTestCase
no longers deletes all ds, do that in the MlNativeIntegTestCase
class for ml tests.
Since #58728 writing operations on searchable snapshot directory cache files
are executed in an asynchronous manner using a dedicated thread pool. The
thread pool used is searchable_snapshots which has been created to execute
prewarming tasks.
Reusing the same thread pool wasn't a good idea as it can lead to deadlock
situations. One of these situation arose in a test failure where the thread pool
was full of prewarming tasks, all waiting for a cache file to be accessible, while
the cache file was being evicted by the cache service. But such an eviction
can only be processed when all read/write operations on the cache file are
completed and in this case the deadlock occurred because the cache file was
actively being read by a concurrent search which also won the privilege to
write the range of bytes in cache... and this writing operation could never have
been completed because of the prewarming tasks making no progress and
filling up the thread pool.
This commit renames the searchable_snapshots thread pool to
searchable_snapshots_cache_fetch_async. Assertions are added to assert
that cache writes are executed using this thread pool and to assert that read
on cached index inputs are executed using a different thread pool to avoid
potential deadlock situations.
This commit also adds a searchable_snapshots_cache_prewarming that is
used to execute prewarming tasks. It also converts the existing cache prewarming
test into a more complte integration test that creates multiple searchable
snapshot indices concurrently with randomized thread pool sizes, and verifies
that all files have been correctly prewarmed.
Add a custom factory for recovery state into IndexStorePlugin that
allows different implementors to provide its own RecoveryState
implementation.
Backport of #59038
Enables fully concurrent snapshot operations:
* Snapshot create- and delete operations can be started in any order
* Delete operations wait for snapshot finalization to finish, are batched as much as possible to improve efficiency and once enqueued in the cluster state prevent new snapshots from starting on data nodes until executed
* We could be even more concurrent here in a follow-up by interleaving deletes and snapshots on a per-shard level. I decided not to do this for now since it seemed not worth the added complexity yet. Due to batching+deduplicating of deletes the pain of having a delete stuck behind a long -running snapshot seemed manageable (dropped client connections + resulting retries don't cause issues due to deduplication of delete jobs, batching of deletes allows enqueuing more and more deletes even if a snapshot blocks for a long time that will all be executed in essentially constant time (due to bulk snapshot deletion, deleting multiple snapshots is mostly about as fast as deleting a single one))
* Snapshot creation is completely concurrent across shards, but per shard snapshots are linearized for each repository as are snapshot finalizations
See updated JavaDoc and added test cases for more details and illustration on the functionality.
Some notes:
The queuing of snapshot finalizations and deletes and the related locking/synchronization is a little awkward in this version but can be much simplified with some refactoring. The problem is that snapshot finalizations resolve their listeners on the `SNAPSHOT` pool while deletes resolve the listener on the master update thread. With some refactoring both of these could be moved to the master update thread, effectively removing the need for any synchronization around the `SnapshotService` state. I didn't do this refactoring here because it's a fairly large change and not necessary for the functionality but plan to do so in a follow-up.
This change allows for completely removing any trickery around synchronizing deletes and snapshots from SLM and 100% does away with SLM errors from collisions between deletes and snapshots.
Snapshotting a single index in parallel to a long running full backup will execute without having to wait for the long running backup as required by the ILM/SLM use case of moving indices to "snapshot tier". Finalizations are linearized but ordered according to which snapshot saw all of its shards complete first
There is no point in writing out snapshots that contain no data that can be restored
whatsoever. It may have made sense to do so in the past when there was an `INIT` snapshot
step that wrote data to the repository that would've other become unreferenced, but in the
current day state machine without the `INIT` step there is no point in doing so.
Many of the parameters we pass into this method were only used to
build the `SnapshotInfo` instance to write.
This change simplifies the signature. Also, it seems less error prone to build
`SnapshotInfo` in `SnapshotsService` isntead of relying on the fact that each repository
implementation will build the correct `SnapshotInfo`.
This commit adds a new api to track when gold+ features are used within
x-pack. The tracking is done internally whenever a feature is checked
against the current license. The output of the api is a list of each
used feature, which includes the name, license level, and last time it
was used. In addition to a unit test for the tracking, a rest test is
added which ensures starting up a default configured node does not
result in any features registering as used.
There are a couple features which currently do not work well with the
tracking, as they are checked in a manner that makes them look always
used. Those features will be fixed in followups, and in this PR they are
omitted from the feature usage output.
Removes the `@timestamp` field mapping from several data stream index
template snippets.
With #59317, the `@timestamp` field defaults to a `date` field data type
for data streams.
This API reports on statistics important for data streams, including the number of data
streams, the number of backing indices for those streams, the disk usage for each data
stream, and the maximum timestamp for each data stream
Instead of retrieving an entire SearchHit, get just a reference and
postpone the document retrieval when assembling the final results.
Remove sort information from results to make them consistent.
Move TumblingWindow under the sequence package.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
(cherry picked from commit bccfbcd81f2f1d3552e95e4a9ee2618fb3059bd9)
API keys can be created nameless using the grant endpoint (it is a bug, see #59484).
This change ensures auditing doesn't throw when such an API Key is used for authn.
The `create_doc`, `create`, `write` and `index` privileges do not grant
the PutMapping action anymore. Apart from the `write` privilege, the other
three privileges also do NOT grant (auto) updating the mapping when ingesting
a document with unmapped fields, according to the templates.
In order to maintain the BWC in the 7.x releases, the above privileges will still grant
the Put and AutoPutMapping actions, but only when the "index" entity is an alias
or a concrete index, but not a data stream or a backing index of a data stream.
This PR introduces two new fields in to `RepositoryData` (index-N) to track the blob name of `IndexMetaData` blobs and their content via setting generations and uuids. This is used to deduplicate the `IndexMetaData` blobs (`meta-{uuid}.dat` in the indices folders under `/indices` so that new metadata for an index is only written to the repository during a snapshot if that same metadata can't be found in another snapshot.
This saves one write per index in the common case of unchanged metadata thus saving cost and making snapshot finalization drastically faster if many indices are being snapshotted at the same time.
The implementation is mostly analogous to that for shard generations in #46250 and piggy backs on the BwC mechanism introduced in that PR (which means this PR needs adjustments if it doesn't go into `7.6`).
Relates to #45736 as it improves the efficiency of snapshotting unchanged indices
Relates to #49800 as it has the potential of loading the index metadata for multiple snapshots of the same index concurrently much more efficient speeding up future concurrent snapshot delete
Currently we combine coordinating and primary bytes into a single bucket
for indexing pressure stats. This makes sense for rejection logic.
However, for metrics it would be useful to separate them.
The `Authentication` object that gets built following an API Key authentication
contains the realm name of the owner user that created the key (which is audited),
but the specific field used for storing it changed in #51305 .
This PR makes it so that auditing tolerates an "unfound" realm name, so it doesn't
throw an NPE, because the owner realm name is not found in the expected field.
Closes#59425
Renames and moves the cross validation splitter package.
First, the package and classes are renamed from using
"cross validation splitter" to "train test splitter".
Cross validation as a term is overloaded and encompasses
more concepts than what we are trying to do here.
Second, the package used to be under `process` but it does
not make sense to be there, it can be a top level package
under `dataframe`.
Backport of #59529
When a field is not included yet its type is unsupported, we currently
state that the reason the field is excluded is that it is not in the
includes list. However, this implies the user could include it but
if the user tried to do so, they would get a failure as they would
be including a field with unsupported type.
This commit improves this by stating the reason a not included field
with unsupported type is excluded is because of its type.
Backport of #59424
The primary shards of follower indices during the bootstrap need to be
on nodes with the remote cluster client role as those nodes reach out to
the corresponding leader shards on the remote cluster to copy Lucene
segment files and renew the retention leases. This commit introduces a
new allocation decider that ensures bootstrapping follower primaries are
allocated to nodes with the remote cluster client role.
Co-authored-by: Jason Tedor <jason@tedor.me>
Since we have added checking the cardinality of the dependent_variable
for classification, we have introduced a bug where an NPE is thrown
if the dependent_variable is a missing field.
This commit is fixing this issue.
Backport of #59524
This PR adds minimum support for prefix search of API Key name. It only touches API key name and leave all other query parameters, e.g. realm name, username unchanged.
This makes the data_stream timestamp field specification optional when
defining a composable template.
When there isn't one specified it will default to `@timestamp`.
(cherry picked from commit 5609353c5d164e15a636c22019c9c17fa98aac30)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Certain OPs mix usage of boolean and string for boolean type OIDC claims. For example, the same "email_verified" field is presented as boolean in IdToken, but is a string of "true" in the response of user info. This inconsistency results in failures when we try to merge them during authorization.
This PR introduce a small leniency so that it will merge a boolean with a string that has value of the boolean's string representation. In another word, it will merge true with "true", also will merge false with "false", but nothing else.
This adds a low precendece mapping for the `@timestamp` field with
type `date`.
This will aid with the bootstrapping of data streams as a timestamp
mapping can be omitted when nanos precision is not needed.
(cherry picked from commit 4e72f43d62edfe52a934367ce9809b5efbcdb531)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Improve the way limit (in particular offset) is being applied to handle
the case where the matches are less than the offset and absolute limit.
Combine Matcher and SequenceStateMachine into one class since the two
have evolved beyond their original name and structure.
(cherry picked from commit 63d3c62cdfc33dea03f21d5565b9c8ea104003eb)
separate pivot from the indexer and introduce an abstraction layer, pivot becomes a function.
Foundation to add more functions to transform.
piggy backed fixes:
- when running geo tile group_by it could fail due to query clause limit (unreleased)
- new style page size using settings was not validating limit of 10k (7.8)
- Fix duplicate path deprecation by removing duplicate test resources
- fix deprecated non annotated input property in LazyPropertyList
- fix deprecated usage of AbstractArchiveTask.version
- Resolve correct test resources
Now that we have per-partition categorization, the estimate for
the model memory limit required for a particular analysis config
needs to take into account whether categorization is operating
for the job as a whole or per-partition.
API keys can be created without names using grant API key action. This is considered as a bug (#59484). Since the feature has already been released, we need to accomodate existing keys that are created with null names. This PR relaxes the parser logic so that a null name is accepted.
We have recently added internal metrics to monitor the amount of
indexing occurring on a node. These metrics introduce back pressure to
indexing when memory utilization is too high. This commit exposes these
stats through the node stats API.
This commit adds data stream info to the `/_xpack` and `/_xpack/usage` APIs. Currently the usage is
pretty minimal, returning only the number of data streams and the number of indices currently
abstracted by a data stream:
```
...
"data_streams" : {
"available" : true,
"enabled" : true,
"data_streams" : 3,
"indices_count" : 17
}
...
```
Removes member variable `index` from `ExtractedFieldsDetector`
as it is not used.
Backport of #59395
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Backport of #59293 to 7.x branch.
* Create new data-stream xpack module.
* Move TimestampFieldMapper to the new module,
this results in storing a composable index template
with data stream definition only to work with default
distribution. This way data streams can only be used
with default distribution, since a data stream can
currently only be created if a matching composable index
template exists with a data stream definition.
* Renamed `_timestamp` meta field mapper
to `_data_stream_timestamp` meta field mapper.
* Add logic to put composable index template api
to fail if `_data_stream_timestamp` meta field mapper
isn't registered. So that a more understandable
error is returned when attempting to store a template
with data stream definition via the oss distribution.
In a follow up the data stream transport and
rest actions can be moved to the xpack data-stream module.
With the introduction of per-partition categorization the old
logic for creating a job notification for categorization status
"warn" does not work. However, the C++ code is already writing
annotations for categorization status "warn" that take into
account whether per-partition categorization is being used and
which partition(s) the warnings relate to. Therefore, this
change alters the Java results processor to create notifications
based on the annotations the C++ writes. (It is arguable that
we don't need both annotations and notifications, but they show
up in different ways in the UI: only annotations are visible in
results and only notifications set the warning symbol in the
jobs list. This means it's best to have both.)
Backport of #59377
This PR ensure that same roles are cached only once even when they are from different API keys.
API key role descriptors and limited role descriptors are now saved in Authentication#metadata
as raw bytes instead of deserialised Map<String, Object>.
Hashes of these bytes are used as keys for API key roles. Only when the required role is not found
in the cache, they will be deserialised to build the RoleDescriptors. The deserialisation is directly
from raw bytes to RoleDescriptors without going through the current detour of
"bytes -> Map -> bytes -> RoleDescriptors".
With the removal of mapping types and the immutability of FieldTypeLookup in #58162, we no longer
have any cause to compare MappedFieldType instances. This means that we can remove all equals
and hashCode implementations, and in addition we no longer need the clone implementations which
were required for equals/hashcode testing. This greatly simplifies implementing new MappedFieldTypes,
which will be particularly useful for the runtime fields project.
This adds a setting to data frame analytics jobs called
`max_number_threads`. The setting expects a positive integer.
When used the user specifies the max number of threads that may
be used by the analysis. Note that the actual number of threads
used is limited by the number of processors on the node where
the job is assigned. Also, the process may use a couple more threads
for operational functionality that is not the analysis itself.
This setting may also be updated for a stopped job.
More threads may reduce the time it takes to complete the job at the cost
of using more CPU.
Backport of #59254 and #57274
Sequences now support until conditional, which prevents a match from
occurring if the until matches a document while doing look-ups.
Thus a sequence must complete before the until condition matches - if
any document within the sequence occurs at, or after, the until hit, the
sequence is discarded.
(cherry picked from commit 1ba1b9f0661aee655aa48cf9475ac61aaee2bfda)
Since we are able to load the inference model
and perform inference in java, we no longer need
to rely on the analytics process to be performing
test inference on the docs that were not used for
training. The benefit is that we do not need to
send test docs and fit them in memory of the c++
process.
Backport of #58877
Co-authored-by: Dimitris Athanasiou <dimitris@elastic.co>
Co-authored-by: Benjamin Trent <ben.w.trent@gmail.com>
The FieldMapper infrastructure currently has a bunch of shared parameters, many of which
are only applicable to a subset of the 41 mapper implementations we ship with. Merging,
parsing and serialization of these parameters are spread around the class hierarchy, with
much repetitive boilerplate code required. It would be much easier to reason about these
things if we could declare the parameter set of each FieldMapper directly in the implementing
class, and share the parsing, merging and serialization logic instead.
This commit is a first effort at introducing a declarative parameter style. It adds a new FieldMapper
subclass, ParametrizedFieldMapper, and refactors two mappers, Boolean and Binary, to use it.
Parameters are declared on Builder classes, with the declaration including the parameter name,
whether or not it is updateable, a default value, how to parse it from mappings, and how to
extract it from another mapper at merge time. Builders have a getParameters method, which
returns a list of the declared parameters; this is then used for parsing, merging and serialization.
Merging is achieved by constructing a new Builder from the existing Mapper, and merging in
values from the merging Mapper; conflicts are all caught at this point, and if none exist then a new,
merged, Mapper can be built from the Builder. This allows all values on the Mapper to be final.
Other mappers can be gradually migrated to this new style, and once they have all been refactored
we can merge ParametrizedFieldMapper and FieldMapper entirely.
1. Add the `apikey.id`, `apikey.name` and `authentication.type` fields
to the `access_granted`, `access_denied`, `authentication_success`, and
(some) `tampered_request` audit events. The `apikey.id` and `apikey.name`
are present only when authn using an API Key.
2. When authn with an API Key, the `user.realm` field now contains the effective
realm name of the user that created the key, instead of the synthetic value of
`_es_api_key`.
Tal Levy
Benjamin Trent
Alan Woodward
Andrei Dan
Andrei Stefan
Tanguy Leroux
Martijn van Groningen
Igor Motov
Marios Trivyzas
Nik Everett
David Kyle
Przemysław Witek
Nhat Nguyen
Yang Wang
Costin Leau
Julie Tibshirani
Lee Hinman
David Turner
Ignacio Vera
Francisco Fernández Castaño
Yannick Welsch
Armin Braun
Ryan Ernst
James Rodewig
James Baiera
Albert Zaharovits
Tim Brooks
Dan Hermann
Dimitris Athanasiou
Hendrik Muhs
Rene Groeschke
David Roberts
Lee Hinman
Christos Soulios
Alan Woodward
Lisa Cawley
Daniel Mitterdorfer