refactors source and dest validation, adds support for CCS, makes resolve work like reindex/search, allow aliased dest index with a single write index.
fixes#49988fixes#49851
relates #43201
Previously, during expression optimisation, CAST would be considered
nullable if the casted expression resulted to a NULL literal, and would
be always non-nullable otherwise. As a result if CASE was wrapped by a
null check function like IS NULL or IS NOT NULL it was simplified to
TRUE/FALSE, eliminating the actual casting operation. So in case of an
expression with an erroneous casting like CAST('foo' AS DATETIME) IS NULL
it would be simplified to FALSE instead of throwing an Exception signifying
the attempt to cast 'foo' to a DATETIME type.
CAST now always returns Nullability.UKNOWN except from the case that
its result evaluated to a constant NULL, where it returns Nullability.TRUE.
This way the IS NULL/IS NOT NULL don't get simplified to FALSE/TRUE
and the CAST actually gets evaluated resulting to a thrown Exception.
Fixes: #50191
(cherry picked from commit 671e07a931cd828661e226cba22a5d38804a17a5)
* Update remote cluster stats to support simple mode (#49961)
Remote cluster stats API currently only returns useful information if
the strategy in use is the SNIFF mode. This PR modifies the API to
provide relevant information if the user is in the SIMPLE mode. This
information is the configured addresses, max socket connections, and
open socket connections.
* Send hostname in SNI header in simple remote mode (#50247)
Currently an intermediate proxy must route conncctions to the
appropriate remote cluster when using simple mode. This commit offers
a additional mechanism for the proxy to route the connections by
including the hostname in the TLS SNI header.
* Rename the remote connection mode simple to proxy (#50291)
This commit renames the simple connection mode to the proxy connection
mode for remote cluster connections. In order to do this, the mode specific
settings which we namespaced by their mode (ex: sniff.seed and
proxy.addresses) have been reverted.
* Modify proxy mode to support a single address (#50391)
Currently, the remote proxy connection mode uses a list setting for the
proxy address. This commit modifies this so that the setting is
proxy_address and only supports a single remote proxy address.
Avoid backwards incompatible changes for 8.x and 7.6 by removing type
restriction on compile and Factory. Factories may optionally implement
ScriptFactory. If so, then they can indicate determinism and thus
cacheability.
**Backport**
Relates: #49466
In order to ensure any persisted model state is searchable by the moment
the job reports itself as `stopped`, we need to refresh the state index
before completing.
This should fix the occasional failures we see in #50168 and #50313 where
the model state appears missing.
Closes#50168Closes#50313
Backport of #50322
This fixes support for nested fields
We now support fully nested, fully collapsed, or a mix of both on inference docs.
ES mappings allow the `_source` to be any combination of nested objects + dot delimited fields.
So, we should do our best to find the best path down the Map for the desired field.
Our REST infrastructure will reject requests that have a body where the
body of the request is never consumed. This ensures that we reject
requests on endpoints that do not support having a body. This requires
cooperation from the REST handlers though, to actually consume the body,
otherwise the REST infrastructure will proceed with rejecting the
request. This commit addresses an issue in the has privileges API where
we would prematurely try to reject a request for not having a username,
before consuming the body. Since the body was not consumed, the REST
infrastructure would instead reject the request as a bad request.
This commit adds removal of unused data frame analytics state
from the _delete_expired_data API (and in extend th ML daily
maintenance task). At the moment the potential state docs
include the progress document and state for regression and
classification analyses.
Backport of #50243
Backport #50244 to 7.x branch.
If a processor executes asynchronously and the ingest simulate api simulates with
multiple documents then the order of the documents in the response may not match
the order of the documents in the request.
Alexander Reelsen discovered this issue with the enrich processor with the following reproduction:
```
PUT cities/_doc/munich
{"zip":"80331","city":"Munich"}
PUT cities/_doc/berlin
{"zip":"10965","city":"Berlin"}
PUT /_enrich/policy/zip-policy
{
"match": {
"indices": "cities",
"match_field": "zip",
"enrich_fields": [ "city" ]
}
}
POST /_enrich/policy/zip-policy/_execute
GET _cat/indices/.enrich-*
POST /_ingest/pipeline/_simulate
{
"pipeline": {
"processors" : [
{
"enrich" : {
"policy_name": "zip-policy",
"field" : "zip",
"target_field": "city",
"max_matches": "1"
}
}
]
},
"docs": [
{ "_id": "first", "_source" : { "zip" : "80331" } } ,
{ "_id": "second", "_source" : { "zip" : "50667" } }
]
}
```
* fixed test compile error
Follow up to #49729
This change removes falling back to listing out the repository contents to find the latest `index-N` in write-mounted blob store repositories.
This saves 2-3 list operations on each snapshot create and delete operation. Also it makes all the snapshot status APIs cheaper (and faster) by saving one list operation there as well in many cases.
This removes the resiliency to concurrent modifications of the repository as a result and puts a repository in a `corrupted` state in case loading `RepositoryData` failed from the assumed generation.
This adds a new "xpack.license.upload.types" setting that restricts
which license types may be uploaded to a cluster.
By default all types are allowed (excluding basic, which can only be
generated and never uploaded).
This setting does not restrict APIs that generate licenses such as the
start trial API.
This setting is not documented as it is intended to be set by
orchestrators and not end users.
Backport of: #49418
In the yaml cluster upgrade tests, we start a scroll in a mixed-version cluster,
then attempt to continue the scroll after the upgrade is complete. This test
occasionally fails because the scroll can expire before the cluster is done
upgrading.
The current scroll keep-alive time 5m. This PR bumps it to 10m, which gives a
good buffer since in failing tests the time was only exceeded by ~30 seconds.
Addresses #46529.
Backport of #49612.
The current Docker entrypoint script picks up environment variables and
translates them into -E command line arguments. However, since any tool
executes via `docker exec` doesn't run the entrypoint, it results in
a poorer user experience.
Therefore, refactor the env var handling so that the -E options are
generated in `elasticsearch-env`. These have to be appended to any
existing command arguments, since some CLI tools have subcommands and
-E arguments must come after the subcommand.
Also extract the support for `_FILE` env vars into a separate script, so
that it can be called from more than once place (the behaviour is
idempotent).
Finally, add noop -E handling to CronEvalTool for parity, and support
`-E` in MultiCommand before subcommands.
The testclusters shutdown code was killing child processes
of the ES JVM before the ES JVM. This causes any running
ML jobs to be recorded as failed, as the ES JVM notices that
they have disconnected from it without being told to stop,
as they would if they crashed. In many test suites this
doesn't matter because the test cluster will never be
restarted, but in the case of upgrade tests it makes it
impossible to test what happens when an ML job is running
at the time of the upgrade.
This change reverses the order of killing the ES process
tree such that the parent processes are killed before their
children. A list of children is stored before killing the
parent so that they can subsequently be killed (if they
don't exit by themselves as a side effect of the parent
dying).
Backport of #50175
Executing the data frame analytics _explain API with a config that contains
a field that is not in the includes list but at the same time is the excludes
list results to trying to remove the field twice from the iterator. That causes
an `IllegalStateException`. This commit fixes this issue and adds a test that
captures the scenario.
Backport of #50192
* Remove BlobContainer Tests against Mocks
Removing all these weird mocks as asked for by #30424.
All these tests are now part of real repository ITs and otherwise left unchanged if they had
independent tests that didn't call the `createBlobStore` method previously.
The HDFS tests also get added coverage as a side-effect because they did not have an implementation
of the abstract repository ITs.
Closes#30424
Lucene 8.4 added support for "CONTAINS", therefore in this commit those
changes are integrated in Elasticsearch. This commit contains as well a
bug fix when querying with a geometry collection with "DISJOINT" relation.
The release builds use a production license key, and our rest test load
licenses that are signed by the dev license key.
This change adds the new enterprise license Rest tests to the
blacklist on release builds.
Backport of: #50163
Since 7.4, we switch from translog to Lucene as the source of history
for peer recoveries. However, we reduce the likelihood of
operation-based recoveries when performing a full cluster restart from
pre-7.4 because existing copies do not have PPRL.
To remedy this issue, we fallback using translog in peer recoveries if
the recovering replica does not have a peer recovery retention lease,
and the replication group hasn't fully migrated to PRRL.
Relates #45136
Today we do not use retention leases in peer recovery for closed indices
because we can't sync retention leases on closed indices. This change
allows that ability and adjusts peer recovery to use retention leases
for all indices with soft-deletes enabled.
Relates #45136
Co-authored-by: David Turner <david.turner@elastic.co>
This adds a new field for the inference processor.
`warning_field` is a place for us to write warnings provided from the inference call. When there are warnings we are not going to write an inference result. The goal of this is to indicate that the data provided was too poor or too different for the model to make an accurate prediction.
The user could optionally include the `warning_field`. When it is not provided, it is assumed no warnings were desired to be written.
The first of these warnings is when ALL of the input fields are missing. If none of the trained fields are present, we don't bother inferencing against the model and instead provide a warning stating that the fields were missing.
Also, this adds checks to not allow duplicated fields during processor creation.
This exchanges the direct use of the `Client` for `ResultsPersisterService`. State doc persistence will now retry. Failures to persist state will still not throw, but will be audited and logged.
This commit fixes a bug that caused the data frame analytics
_explain API to time out in a multi-node setup when the source
index was missing. When we try to create the extracted fields detector,
we check the index settings. If the index is missing that responds
with a failure that could be wrapped as a remote exception.
While we unwrapped correctly to check if the cause was an
`IndexNotFoundException`, we then proceeded to cast the original
exception instead of the cause.
Backport of #50176
This test was fixed as part of #49736 so that it used a
TokenService mock instance that was enabled, so that token
verification fails because the token is invalid and not because
the token service is not enabled.
When the randomly generated token we send, decodes to being of
version > 7.2 , we need to have mocked a GetResponse for the call
that TokenService#getUserTokenFromId will make, otherwise this
hangs and times out.
Today the HTTP exporter settings without the exporter type having been
configured to HTTP. When it is time to initialize the exporter, we can
blow up. Since this initialization happens on the cluster state applier
thread, it is quite problematic that we do not reject settings updates
where the type is not configured to HTTP, but there are HTTP exporter
settings configured. This commit addresses this by validating that the
exporter type is not only set, but is set to HTTP.
The "code_user" and "code_admin" reserved roles existed to support
code search which is no longer included in Kibana.
The "kibana_system" role included privileges to read/write from the
code search indices, but no longer needs that access.
Backport of: #50068
* [ML] Add graceful retry for anomaly detector result indexing failures (#49508)
All results indexing now retry the amount of times configured in `xpack.ml.persist_results_max_retries`. The retries are done in a semi-random, exponential backoff.
* fixing test
This adds "enterprise" as an acceptable type for a license loaded
through the PUT _license API.
Internally an enterprise license is treated as having a "platinum"
operating mode.
The handling of License types was refactored to have a new explicit
"LicenseType" enum in addition to the existing "OperatingMode" enum.
By default (in 7.x) the GET license API will return "platinum" when an
enterprise license is active in order to be compatible with existing
consumers of that API.
A new "accept_enterprise" flag has been introduced to allow clients to
opt-in to receive the correct "enterprise" type.
Backport of: #49223
The `sparse_vector` REST tests occasionally fail on 7.x because we don't receive the expected response headers with deprecation warnings.
One theory as to what is happening is that there is an extra empty index present in addition to the test index. Since the search doesn't specify an index name, it hits both the test index and this extra empty index and shard responses from the extra index don't produce deprecation warnings. If not all shard responses contain the warning headers, then certain deprecation warnings can be lost (due to the bug described in #33936).
This PR tries to harden the `sparse_vector` tests by always specifying the index name during a search. This doesn't fix the root causes of the issue, but is good practice and can help avoid intermittent failures.
Addresses #49383.
The `ClassificationIT.testTwoJobsWithSameRandomizeSeedUseSameTrainingSet`
test was previously set up to just have 10 rows. With `training_percent`
of 50%, only 5 rows will be used for training. There is a good chance that
all 5 rows will be of one class which results to failure.
This commit increases the rows to 100. Now 50 rows should be used for training
and the chance of failure should be very small.
Backport of #50072
Przemysław Witek
Hendrik Muhs
Marios Trivyzas
Tim Brooks
Stuart Tettemer
Igor Motov
Dimitris Athanasiou
Benjamin Trent
Jason Tedor
Yannick Welsch
Florian Kelbert
David Kyle
Martijn van Groningen
Armin Braun
Andrei Stefan
Tim Vernum
Julie Tibshirani
Rory Hunter
David Roberts
Ignacio Vera
Nhat Nguyen
Ioannis Kakavas