Previously, a reindex request had two different size specifications in the body:
* Outer level, determining the maximum documents to process
* Inside the source element, determining the scroll/batch size.
The outer level size has now been renamed to max_docs to
avoid confusion and clarify its semantics, with backwards compatibility and
deprecation warnings for using size.
Similarly, the size parameter has been renamed to max_docs for
update/delete-by-query to keep the 3 interfaces consistent.
Finally, all 3 endpoints now support max_docs in both body and URL.
Relates #24344
A static code analysis revealed that we are not closing
the input stream in the find_file_structure endpoint.
This actually makes no difference in practice, as the
particular InputStream implementation in this case is
org.elasticsearch.common.bytes.BytesReferenceStreamInput
and its close() method is a no-op. However, it is good
practice to close the stream anyway.
This change adds the earliest and latest timestamps into
the field stats for fields of type "date" in the output of
the ML find_file_structure endpoint. This will enable the
cards for date fields in the file data visualizer in the UI
to be made to look more similar to the cards for date
fields in the index data visualizer in the UI.
Dots in the column names cause an error in the ingest
pipeline, as dots are special characters in ingest pipeline.
This PR changes dots into underscores in CSV field names
suggested by the ML find_file_structure endpoint _unless_
the field names are specifically overridden. The reason for
allowing them in overrides is that fields that are not
mentioned in the ingest pipeline can contain dots. But it's
more consistent that the default behaviour is to replace
them all.
Fixeselastic/kibana#26800
When analysing a semi-structured text file the
find_file_structure endpoint merges lines to form
multi-line messages using the assumption that the
first line in each message contains the timestamp.
However, if the timestamp is misdetected then this
can lead to excessive numbers of lines being merged
to form massive messages.
This commit adds a line_merge_size_limit setting
(default 10000 characters) that halts the analysis
if a message bigger than this is created. This
prevents significant CPU time being spent subsequently
trying to determine the internal structure of the
huge bogus messages.
This change helps to prevent the situation where a binary
file uploaded to the find_file_structure endpoint is
detected as being text in the UTF-16 character set, and
then causes a large amount of CPU to be spent analysing
the bogus text structure.
The approach is to check the distribution of zero bytes
between odd and even file positions, on the grounds that
UTF-16BE or UTF16-LE would have a very skewed distribution.
This change fixes a race condition that would result in an
in-memory data structure becoming out-of-sync with persistent
tasks in cluster state.
If repeated often enough this could result in it being
impossible to open any ML jobs on the affected node, as the
master node would think the node had capacity to open another
job but the chosen node would error during the open sequence
due to its in-memory data structure being full.
The race could be triggered by opening a job and then closing
it a tiny fraction of a second later. It is unlikely a user
of the UI could open and close the job that fast, but a script
or program calling the REST API could.
The nasty thing is, from the externally observable states and
stats everything would appear to be fine - the fast open then
close sequence would appear to leave the job in the closed
state. It's only later that the leftovers in the in-memory
data structure might build up and cause a problem.
This change contains a major refactoring of the timestamp
format determination code used by the ML find file structure
endpoint.
Previously timestamp format determination was done separately
for each piece of text supplied to the timestamp format finder.
This had the drawback that it was not possible to distinguish
dd/MM and MM/dd in the case where both numbers were 12 or less.
In order to do this sensibly it is best to look across all the
available timestamps and see if one of the numbers is greater
than 12 in any of them. This necessitates making the timestamp
format finder an instantiable class that can accumulate evidence
over time.
Another problem with the previous approach was that it was only
possible to override the timestamp format to one of a limited
set of timestamp formats. There was no way out if a file to be
analysed had a timestamp that was sane yet not in the supported
set. This is now changed to allow any timestamp format that can
be parsed by a combination of these Java date/time formats:
yy, yyyy, M, MM, MMM, MMMM, d, dd, EEE, EEEE, H, HH, h, mm, ss,
a, XX, XXX, zzz
Additionally S letter groups (fractional seconds) are supported
providing they occur after ss and separated from the ss by a dot,
comma or colon. Spacing and punctuation is also permitted with
the exception of the question mark, newline and carriage return
characters, together with literal text enclosed in single quotes.
The full list of changes/improvements in this refactor is:
- Make TimestampFormatFinder an instantiable class
- Overrides must be specified in Java date/time format - Joda
format is no longer accepted
- Joda timestamp formats in outputs are now derived from the
determined or overridden Java timestamp formats, not stored
separately
- Functionality for determining the "best" timestamp format in
a set of lines has been moved from TextLogFileStructureFinder
to TimestampFormatFinder, taking advantage of the fact that
TimestampFormatFinder is now an instantiable class with state
- The functionality to quickly rule out some possible Grok
patterns when looking for timestamp formats has been changed
from using simple regular expressions to the much faster
approach of using the Shift-And method of sub-string search,
but using an "alphabet" consisting of just 1 (representing any
digit) and 0 (representing non-digits)
- Timestamp format overrides are now much more flexible
- Timestamp format overrides that do not correspond to a built-in
Grok pattern are mapped to a %{CUSTOM_TIMESTAMP} Grok pattern
whose definition is included within the date processor in the
ingest pipeline
- Grok patterns that correspond to multiple Java date/time
patterns are now handled better - the Grok pattern is accepted
as matching broadly, and the required set of Java date/time
patterns is built up considering all observed samples
- As a result of the more flexible acceptance of Grok patterns,
when looking for the "best" timestamp in a set of lines
timestamps are considered different if they are preceded by
a different sequence of punctuation characters (to prevent
timestamps far into some lines being considered similar to
timestamps near the beginning of other lines)
- Out-of-the-box Grok patterns that are considered now include
%{DATE} and %{DATESTAMP}, which have indeterminate day/month
ordering
- The order of day/month in formats with indeterminate day/month
order is determined by considering all observed samples (plus
the server locale if the observed samples still do not suggest
an ordering)
Relates #38086Closes#35137Closes#35132
This adds the node name where we fail to start a process via the native
controller to facilitate debugging as otherwise it might not be known
to which node the job was allocated.
Moves the test infrastructure away from using node.max_local_storage_nodes, allowing us in a
follow-up PR to deprecate this setting in 7.x and to remove it in 8.0.
This also changes the behavior of InternalTestCluster so that starting up nodes will not automatically
reuse data folders of previously stopped nodes. If this behavior is desired, it needs to be explicitly
done by passing the data path from the stopped node to the new node that is started.
Re-enable muted tests and accommodate recent backend changes
that result in higher memory usage being reported for a job
at the start of its life-cycle
This corrects what appears to have been a copy-paste error
where the logger for `MachineLearning` and `DataFrame` was wrongly
set to be that of `XPackPlugin`.
The date_histogram accepts an interval which can be either a calendar
interval (DST-aware, leap seconds, arbitrary length of months, etc) or
fixed interval (strict multiples of SI units). Unfortunately this is inferred
by first trying to parse as a calendar interval, then falling back to fixed
if that fails.
This leads to confusing arrangement where `1d` == calendar, but
`2d` == fixed. And if you want a day of fixed time, you have to
specify `24h` (e.g. the next smallest unit). This arrangement is very
error-prone for users.
This PR adds `calendar_interval` and `fixed_interval` parameters to any
code that uses intervals (date_histogram, rollup, composite, datafeed, etc).
Calendar only accepts calendar intervals, fixed accepts any combination of
units (meaning `1d` can be used to specify `24h` in fixed time), and both
are mutually exclusive.
The old interval behavior is deprecated and will throw a deprecation warning.
It is also mutually exclusive with the two new parameters. In the future the
old dual-purpose interval will be removed.
The change applies to both REST and java clients.
Muting a number of AutoDetectMemoryLimitIT tests to give CI a chance to
settle before easing in required backend changes.
relates elastic/ml-cpp#486
relates #42086
Improve the hard_limit memory audit message by reporting how many bytes
over the configured memory limit the job was at the point of the last
allocation failure.
Previously the model memory usage was reported, however this was
inaccurate and hence of limited use - primarily because the total
memory used by the model can decrease significantly after the models
status is changed to hard_limit but before the model size stats are
reported from autodetect to ES.
While this PR contains the changes to the format of the hard_limit audit
message it is dependent on modifications to the ml-cpp backend to
send additional data fields in the model size stats message. These
changes will follow in a subsequent PR. It is worth noting that this PR
must be merged prior to the ml-cpp one, to keep CI tests happy.
This change replaces the extremely unfriendly message
"Number of messages analyzed must be positive" in the
case where the sample lines were incorrectly grouped
into just one message to an error that more helpfully
explains the likely root cause of the problem.
The run task is supposed to run elasticsearch with the given plugin or
module. However, for modules, this is most realistic if using the full
distribution. This commit changes the run setup to use the default or
oss as appropriate.
This switches the strategy used to download machine learning artifacts
from a manual download through S3 to using an Ivy repository on top of
S3. This gives us all the benefits of Gradle dependency resolution
including local caching.
* [ML] Refactor NativeStorageProvider to enable reuse
Moves `NativeStorageProvider` as a machine learning component
so that it can be reused for other job types. Also, we now
pass the persistent task description as unique identifier which
avoids conflicts between jobs of different type but with same ids.
* Adding nativeStorageProvider as component
Since `TransportForecastJobAction` is expected to get injected a `NativeStorageProvider` class, we need to make sure that it is a constructed component, as it does not have a zero parametered, public ctor.
The date_histogram internally converts obsolete timezones (such as
"Canada/Mountain") into their modern equivalent ("America/Edmonton").
But rollup just stored the TZ as provided by the user.
When checking the TZ for query validation we used a string comparison,
which would fail due to the date_histo's upgrading behavior.
Instead, we should convert both to a TimeZone object and check if their
rules are compatible.
Values higher than 100% are now allowed to accommodate use
cases where swapping has been determined to be acceptable.
Anomaly detector jobs only use their full model memory
during background persistence, and this is deliberately
staggered, so with large numbers of jobs few will generally
be persisting state at the same time. Settings higher than
available memory are only recommended for OEM type
situations where a wrapper tightly controls the types of
jobs that can be created, and each job alone is considerably
smaller than what each node can handle.
* [ML] Add validation that rejects duplicate detectors in PutJobAction
Closes#39704
* Add YML integration test for duplicate detectors fix.
* Use "== false" comparison rather than "!" operator.
* Refine error message to sound more natural.
* Put job description in square brackets in the error message.
* Use the new validation in ValidateJobConfigAction.
* Exclude YML tests for new validation from permission tests.
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
The invalid license enforced is exposed to the cluster state update
thread (via the license state listener) before the constructor has
finished. This violates the JLS for safe publication of an object, and
means there is a concurrency bug lurking here. This commit addresses
this by avoiding publication of the invalid license enforcer before the
constructor has returned.
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
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
If multiple jobs are created together and the anomaly
results index does not exist then some of the jobs could
fail to update the mappings of the results index. This
lead them to fail to write their results correctly later.
Although this scenario sounds rare, it is exactly what
happens if the user creates their first jobs using the
Nginx module in the ML UI.
This change fixes the problem by updating the mappings
of the results index if it is found to exist during a
creation attempt.
Fixes#38785
* [ML] Refactor common utils out of ML plugin to XPack.Core
* implementing GET filters with abstract transport
* removing added rest param
* adjusting how defaults can be supplied
The problem here was that `DatafeedJob` was updating the last end time searched
based on the `now` even though when there are aggregations, the extactor will
only search up to the floor of `now` against the histogram interval.
This commit fixes the issue by using the end time as calculated by the extractor.
It also adds an integration test that uses aggregations. This test would fail
before this fix. Unfortunately the test is slow as we need to wait for the
datafeed to work in real time.
Closes#39842
* [ML] refactoring lazy query and agg parsing
* Clean up and addressing PR comments
* removing unnecessary try/catch block
* removing bad call to logger
* removing unused import
* fixing bwc test failure due to serialization and config migrator test
* fixing style issues
* Adjusting DafafeedUpdate class serialization
* Adding todo for refactor in v8
* Making query non-optional so it does not write a boolean byte
This change does the following:
1. Makes the per-node setting xpack.ml.max_open_jobs
into a cluster-wide dynamic setting
2. Changes the job node selection to continue to use the
per-node attributes storing the maximum number of open
jobs if any node in the cluster is older than 7.1, and
use the dynamic cluster-wide setting if all nodes are on
7.1 or later
3. Changes the docs to reflect this
4. Changes the thread pools for native process communication
from fixed size to scaling, to support the dynamic nature
of xpack.ml.max_open_jobs
5. Renames the autodetect thread pool to the job comms
thread pool to make clear that it will be used for other
types of ML jobs (data frame analytics in particular)
Backport of #39320
Investigating how to make DeleteExpiredDataIT faster, it was
revealed that the security audit trail threads were quite hot.
Disabling that seems to be helping quite a bit with making this
test faster. This commit also unmutes the test to see how it goes
with the audit trail disabled.
Relates #39658Closes#39575
ML has historically used doc as the single mapping type but reindex in 7.x
will change the mapping to _doc. Switching to the typeless APIs handles
case where the mapping type is either doc or _doc. This change removes
deprecated typed usages.
This commit parallelizes some parts of the test
and its remove an unnecessary refresh call.
On my local machine it shaves off about 15 seconds
for a test execution time of ~64s (down from ~80s).
This test is still slow but progress over perfection.
Relates #37339
The ScheduledEvent class has never preserved the time
zone so it makes more sense for it to store the start and
end time using Instant rather than ZonedDateTime.
Closes#38620
The assertBusy() that waits the default 10 seconds for a
datafeed to complete very occasionally times out on slow
machines. This commit increases the timeout to 60 seconds.
It will almost never actually take this long, but it's
better to have a timeout that will prevent time being
wasted looking at spurious test failures.
This test failed once in a very long time with the assertion
that there is no document for the `non_existing_job` in the
state index. I could not see how that is possible and I cannot
reproduce. With this commit the failure message will reveal
some examples of the left behind docs which might shed a light
about what could go wrong.
The ML memory tracker does searches against ML results
and config indices. These searches can be asynchronous,
and if they are running while the node is closing then
they can cause problems for other components.
This change adds a stop() method to the MlMemoryTracker
that waits for in-flight searches to complete. Once
stop() has returned the MlMemoryTracker will not kick
off any new searches.
The MlLifeCycleService now calls MlMemoryTracker.stop()
before stopping stopping the node.
Fixes#37117
These two changes are interlinked.
Before this change unsetting ML upgrade mode would wait for all
datafeeds to be assigned and not waiting for their corresponding
jobs to initialise. However, this could be inappropriate, if
there was a reason other that upgrade mode why one job was unable
to be assigned or slow to start up. Unsetting of upgrade mode
would hang in this case.
This change relaxes the condition for considering upgrade mode to
be unset to simply that an assignment attempt has been made for
each ML persistent task that did not fail because upgrade mode
was enabled. Thus after unsetting upgrade mode there is no
guarantee that every ML persistent task is assigned, just that
each is not unassigned due to upgrade mode.
In order to make setting upgrade mode work immediately after
unsetting upgrade mode it was then also necessary to make it
possible to stop a datafeed that was not assigned. There was
no particularly good reason why this was not allowed in the past.
It is trivial to stop an unassigned datafeed because it just
involves removing the persistent task.
The .ml-annotations index is created asynchronously when
some other ML index exists. This can interfere with the
post-test index deletion, as the .ml-annotations index
can be created after all other indices have been deleted.
This change adds an ML specific post-test cleanup step
that runs before the main cleanup and:
1. Checks if any ML indices exist
2. If so, waits for the .ml-annotations index to exist
3. Deletes the other ML indices found in step 1.
4. Calls the super class cleanup
This means that by the time the main post-test index
cleanup code runs:
1. The only ML index it has to delete will be the
.ml-annotations index
2. No other ML indices will exist that could trigger
recreation of the .ml-annotations index
Fixes#38952
* Fix#38623 remove xpack namespace REST API
Except for xpack.usage and xpack.info API's, this moves the last remaining API's out of the xpack namespace
* rename xpack api's inside inside the files as well
* updated yaml tests references to xpack namespaces api's
* update callsApi calls in the IT subclasses
* make sure docs testing does not use xpack namespaced api's
* fix leftover xpack namespaced method names in docs/build.gradle
* found another leftover reference
(cherry picked from commit ccb5d934363c37506b76119ac050a254fa80b5e7)
* ML: update set_upgrade_mode, add logging
* Attempt to fix datafeed isolation
Also renamed a few methods/variables for clarity and added
some comments
Elasticsearch has long [supported](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html#index-versioning) compare and set (a.k.a optimistic concurrency control) operations using internal document versioning. Sadly that approach is flawed and can sometime do the wrong thing. Here's the relevant excerpt from the resiliency status page:
> When a primary has been partitioned away from the cluster there is a short period of time until it detects this. During that time it will continue indexing writes locally, thereby updating document versions. When it tries to replicate the operation, however, it will discover that it is partitioned away. It won’t acknowledge the write and will wait until the partition is resolved to negotiate with the master on how to proceed. The master will decide to either fail any replicas which failed to index the operations on the primary or tell the primary that it has to step down because a new primary has been chosen in the meantime. Since the old primary has already written documents, clients may already have read from the old primary before it shuts itself down. The version numbers of these reads may not be unique if the new primary has already accepted writes for the same document
We recently [introduced](https://www.elastic.co/guide/en/elasticsearch/reference/6.x/optimistic-concurrency-control.html) a new sequence number based approach that doesn't suffer from this dirty reads problem.
This commit removes support for internal versioning as a concurrency control mechanism in favor of the sequence number approach.
Relates to #1078
With this change we no longer support pluggable discovery implementations. No
known implementations of `DiscoveryPlugin` actually override this method, so in
practice this should have no effect on the wider world. However, we were using
this rather extensively in tests to provide the `test-zen` discovery type. We
no longer need a separate discovery type for tests as we no longer need to
customise its behaviour.
Relates #38410
If a job cannot be assigned to a node because an index it
requires is unavailable and there are lazy ML nodes then
index unavailable should be reported as the assignment
explanation rather than waiting for a lazy ML node.
X-Pack security supports built-in authentication service
`token-service` that allows access tokens to be used to
access Elasticsearch without using Basic authentication.
The tokens are generated by `token-service` based on
OAuth2 spec. The access token is a short-lived token
(defaults to 20m) and refresh token with a lifetime of 24 hours,
making them unsuitable for long-lived or recurring tasks where
the system might go offline thereby failing refresh of tokens.
This commit introduces a built-in authentication service
`api-key-service` that adds support for long-lived tokens aka API
keys to access Elasticsearch. The `api-key-service` is consulted
after `token-service` in the authentication chain. By default,
if TLS is enabled then `api-key-service` is also enabled.
The service can be disabled using the configuration setting.
The API keys:-
- by default do not have an expiration but expiration can be
configured where the API keys need to be expired after a
certain amount of time.
- when generated will keep authentication information of the user that
generated them.
- can be defined with a role describing the privileges for accessing
Elasticsearch and will be limited by the role of the user that
generated them
- can be invalidated via invalidation API
- information can be retrieved via a get API
- that have been expired or invalidated will be retained for 1 week
before being deleted. The expired API keys remover task handles this.
Following are the API key management APIs:-
1. Create API Key - `PUT/POST /_security/api_key`
2. Get API key(s) - `GET /_security/api_key`
3. Invalidate API Key(s) `DELETE /_security/api_key`
The API keys can be used to access Elasticsearch using `Authorization`
header, where the auth scheme is `ApiKey` and the credentials, is the
base64 encoding of API key Id and API key separated by a colon.
Example:-
```
curl -H "Authorization: ApiKey YXBpLWtleS1pZDphcGkta2V5" http://localhost:9200/_cluster/health
```
Closes#34383
The explanation so far can be invaluable for troubleshooting
as incorrect decisions made early on in the structure analysis
can result in seemingly crazy decisions or timeouts later on.
Relates elastic/kibana#29821
Today the following settings in the `discovery.zen` namespace are still used:
- `discovery.zen.no_master_block`
- `discovery.zen.hosts_provider`
- `discovery.zen.ping.unicast.concurrent_connects`
- `discovery.zen.ping.unicast.hosts.resolve_timeout`
- `discovery.zen.ping.unicast.hosts`
This commit deprecates all other settings in this namespace so that they can be
removed in the next major version.
In 7.x Java timestamp formats are the default timestamp format and
there is no need to prefix them with "8". (The "8" prefix was used
in 6.7 to distinguish Java timestamp formats from Joda timestamp
formats.)
This change removes the "8" prefixes from timestamp formats in the
output of the ML file structure finder.
Scheduler.schedule(...) would previously assume that caller handles
exception by calling get() on the returned ScheduledFuture.
schedule() now returns a ScheduledCancellable that no longer gives
access to the exception. Instead, any exception thrown out of a
scheduled Runnable is logged as a warning.
This is a continuation of #28667, #36137 and also fixes#37708.
Doc-value fields now return a value that is based on the mappings rather than
the script implementation by default.
This deprecates the special `use_field_mapping` docvalue format which was added
in #29639 only to ease the transition to 7.x and it is not necessary anymore in
7.0.
Runnables can be submitted to
AutodetectProcessManager.AutodetectWorkerExecutorService
without error after it has been shutdown which can lead
to requests timing out as their handlers are never called
by the terminated executor.
This change throws an EsRejectedExecutionException if a
runnable is submitted after after the shutdown and calls
AbstractRunnable.onRejection on any tasks not run.
Closes#37108
This commit moves the auditing of job deletion related errors
to the final listener in the job delete action. This ensures
any error that occurs during job deletion is audited.
* ML: Add MlMetadata.upgrade_mode and API
* Adding tests
* Adding wait conditionals for the upgrade_mode call to return
* Adding tests
* adjusting format and tests
* Adjusting wait conditions for api return and msgs
* adjusting doc tests
* adding upgrade mode tests to black list
We have read and write aliases for the ML results indices. However,
the job still had methods that purported to reliably return the name
of the concrete results index being used by the job. After reindexing
prior to upgrade to 7.x this will be wrong, so the method has been
renamed and the comments made more explicit to say the returned index
name may not be the actual concrete index name for the lifetime of the
job. Additionally, the selection of indices when deleting the job
has been changed so that it works regardless of concrete index names.
All these changes are nice-to-have for 6.7 and 7.0, but will become
critical if we add rolling results indices in the 7.x release stream
as 6.7 and 7.0 nodes may have to operate in a mixed version cluster
that includes a version that can roll results indices.
The ML file structure finder has always reported both Joda
and Java time format strings. This change makes the Java time
format strings the ones that are incorporated into mappings
and ingest pipeline definitions.
The BWC syntax of prepending "8" to these formats is used.
This will need to be removed once Java time format strings
become the default in Elasticsearch.
This commit also removes direct imports of Joda classes in the
structure finder unit tests. Instead the core Joda BWC class
is used.
* Remove empty statements
There are a couple of instances of undocumented empty statements all across the
code base. While they are mostly harmless, they make the code hard to read and
are potentially error-prone. Removing most of these instances and marking blocks
that look empty by intention as such.
* Change test, slightly more verbose but less confusing
When upgrading from 5.4 to 5.5 to 6.7 (inclusive) it was
necessary to ensure there was a mapping for type "doc" on
the ML state index before opening a job. This was because
5.4 created a multi-type ML state index.
In version 7.x we can be sure that any such 5.4 index is no
longer in use. It would have had to be reindexed into the
6.x index format prior to the upgrade to version 7.x.
This commit changes the default for the `track_total_hits` option of the search request
to `10,000`. This means that by default search requests will accurately track the total hit count
up to `10,000` documents, requests that match more than this value will set the `"total.relation"`
to `"gte"` (e.g. greater than or equals) and the `"total.value"` to `10,000` in the search response.
Scroll queries are not impacted, they will continue to count the total hits accurately.
The default is set back to `true` (accurate hit count) if `rest_total_hits_as_int` is set in the search request.
I choose `10,000` as the default because that's also the number we use to limit pagination. This means that users will be able to know how far they can jump (up to 10,000) even if the total number of hits is not accurate.
Closes#33028
* Use ILM for Watcher history deletion
This commit adds an index lifecycle policy for the `.watch-history-*` indices.
This policy is automatically used for all new watch history indices.
This does not yet remove the automatic cleanup that the monitoring plugin does
for the .watch-history indices, and it does not touch the
`xpack.watcher.history.cleaner_service.enabled` setting.
Relates to #32041
This commit moves the aggregation and mapping code from joda time to
java time. This includes field mappers, root object mappers, aggregations with date
histograms, query builders and a lot of changes within tests.
The cut-over to java time is a requirement so that we can support nanoseconds
properly in a future field mapper.
Relates #27330
This change moves the update to the results index mappings
from the open job action to the code that starts the
autodetect process.
When a rolling upgrade is performed we need to update the
mappings for already-open jobs that are reassigned from an
old version node to a new version node, but the open job
action is not called in this case.
Closes#37607
The ML subproject of xpack has a cache for the cpp artifact snapshots
which is checked on each build. The cache is outside of the build dir so
that it is not wiped on a typical clean, as the artifacts can be large
and do not change often. This commit adds a cleanCache task which will
wipe the cache dir, as over time the size of the directory can become
bloated.
This is a continuation of #28667 and has as goal to convert all executors to propagate errors to the
uncaught exception handler. Notable missing ones were the direct executor and the scheduler. This
commit also makes it the property of the executor, not the runnable, to ensure this property. A big
part of this commit also consists of vastly improving the test coverage in this area.
Migrate ml job and datafeed config of open jobs and update
the parameters of the persistent tasks as they become unallocated
during a rolling upgrade. Block allocation of ml persistent tasks
until the configs are migrated.
The test that remote clusters used by ML datafeeds have
a license that allows ML was not accounting for the
possibility that the remote cluster name could be
wildcarded. This change fixes that omission.
Fixes#36228
* Default include_type_name to false for get and put mappings.
* Default include_type_name to false for get field mappings.
* Add a constant for the default include_type_name value.
* Default include_type_name to false for get and put index templates.
* Default include_type_name to false for create index.
* Update create index calls in REST documentation to use include_type_name=true.
* Some minor clean-ups around the get index API.
* In REST tests, use include_type_name=true by default for index creation.
* Make sure to use 'expression == false'.
* Clarify the different IndexTemplateMetaData toXContent methods.
* Fix FullClusterRestartIT#testSnapshotRestore.
* Fix the ml_anomalies_default_mappings test.
* Fix GetFieldMappingsResponseTests and GetIndexTemplateResponseTests.
We make sure to specify include_type_name=true during xContent parsing,
so we continue to test the legacy typed responses. XContent generation
for the typeless responses is currently only covered by REST tests,
but we will be adding unit test coverage for these as we implement
each typeless API in the Java HLRC.
This commit also refactors GetMappingsResponse to follow the same appraoch
as the other mappings-related responses, where we read include_type_name
out of the xContent params, instead of creating a second toXContent method.
This gives better consistency in the response parsing code.
* Fix more REST tests.
* Improve some wording in the create index documentation.
* Add a note about types removal in the create index docs.
* Fix SmokeTestMonitoringWithSecurityIT#testHTTPExporterWithSSL.
* Make sure to mention include_type_name in the REST docs for affected APIs.
* Make sure to use 'expression == false' in FullClusterRestartIT.
* Mention include_type_name in the REST templates docs.
When this message was first added the model debug config was
the only thing that could be updated, but now more aspects of
the config can be updated so the message needs to be more
general.
* ML: Updating .ml-state calls to be able to support > 1 index
* Matching bulk delete behavior with dbq
* Adjusting state name
* refreshing indices before search
* fixing line length
* adjusting index expansion options
This is a reinforcement of #37227. It turns out that
persistent tasks are not made stale if the node they
were running on is restarted and the master node does
not notice this. The main scenario where this happens
is when minimum master nodes is the same as the number
of nodes in the cluster, so the cluster cannot elect a
master node when any node is restarted.
When an ML node restarts we need the datafeeds for any
jobs that were running on that node to not just wait
until the jobs are allocated, but to wait for the
autodetect process of the job to start up. In the case
of reassignment of the job persistent task this was
dealt with by the stale status test. But in the case
where a node restarts but its persistent tasks are not
reassigned we need a deeper test.
Fixes#36810
Added warnings checks to existing tests
Added “defaultTypeIfNull” to DocWriteRequest interface so that Bulk requests can override a null choice of document type with any global custom choice.
Related to #35190
Jobs created in version 6.1 or earlier can have a
null model_memory_limit. If these are parsed from
cluster state following a full cluster restart then
we replace the null with 4096mb to make the meaning
explicit. But if such jobs are streamed from an
old node in a mixed version cluster this does not
happen. Therefore we need to account for the
possibility of a null model_memory_limit in the ML
memory tracker.
* ML: add migrate anomalies assistant
* adjusting failure handling for reindex
* Fixing request and tests
* Adding tests to blacklist
* adjusting test
* test fix: posting data directly to the job instead of relying on datafeed
* adjusting API usage
* adding Todos and adjusting endpoint
* Adding types to reindexRequest
* removing unreliable "live" data test
* adding index refresh to test
* adding index refresh to test
* adding index refresh to yaml test
* fixing bad exists call
* removing todo
* Addressing remove comments
* Adjusting rest endpoint name
* making service have its own logger
* adjusting validity check for newindex names
* fixing typos
* fixing renaming
We already had logic to stop datafeeds running against
jobs that were OPENING, but a job that relocates from
one node to another while OPENED stays OPENED, and this
could cause the datafeed to fail when it sent data to
the OPENED job on its new node before it had a
corresponding autodetect process.
This change extends the check to stop datafeeds running
when their job is OPENING _or_ stale (i.e. has not had
its status reset since relocating to a different node).
Relates #36810
When a 6.1-6.3 job is opened in a later version
we increase the model memory limit by 30% if it's
below 0.5GB. The migration of jobs from cluster
state to the config index changes the job version,
so we need to also do this uplift as part of that
config migration.
Relates #36961
The unused state remover was never adjusted to account for jobs stored
in the config index. The result was that when triggered it removed
state for all jobs stored in the config index.
This commit fixes the issue.
Closes#37109
Changes the feature usage retrieval to use the job manager rather than
directly talking to the cluster state, because jobs can now be either in
cluster state or stored in an index
This is a follow-up of #36702 / #36698
... MlDistributedFailureIT.testLoseDedicatedMasterNode.
An intermittent failure has been observed in
`MlDistributedFailureIT. testLoseDedicatedMasterNode`.
The test launches a cluster comprised by a dedicated master node
and a data and ML node. It creates a job and datafeed and starts them.
It then shuts down and restarts the master node. Finally, the test asserts
that the two tasks have been reassigned within 10s.
The intermittent failure is due to the assertions that the tasks have been
reassigned failing. Investigating the failure revealed that the `assertBusy`
that performs that assertion times out. Furthermore, it appears that the
job task is not reassigned because the memory tracking info is stale.
Memory tracking info is refreshed asynchronously when a job is attempted
to be reassigned. Tasks are attempted to be reassigned either due to a relevant
cluster state change or periodically. The periodic interval is controlled by a cluster
setting called `cluster.persistent_tasks.allocation.recheck_interval` and defaults to 30s.
What seems to be happening in this test is that if all cluster state changes after the
master node is restarted come through before the async memory info refresh completes,
then the job might take up to 30s until it is attempted to reassigned. Thus the `assertBusy`
times out.
This commit changes the test to reduce the periodic check that reassigns persistent
tasks to `200ms`. If the above theory is correct, this should eradicate those failures.
Closes#36760
This change cleans up a number of ugly BWC
workarounds in the ML code.
7.0 cannot run in a mixed version cluster with
versions prior to 6.7, so code that deals with
these old versions is no longer required.
Closes#29963
Fixes two minor problems reported after merge of #36731:
1. Name the creation method to make clear it only creates
if necessary
2. Avoid multiple simultaneous in-flight creation requests
* ML having delayed data detection create annotations
* adding upsertAsDoc, audit, and changing user
* changing update to just index the doc with the id set
* [ML] Job and datafeed mappings with index template (#32719)
Index mappings for the configuration documents
* [ML] Job config document CRUD operations (#32738)
* [ML] Datafeed config CRUD operations (#32854)
* [ML] Change JobManager to work with Job config in index (#33064)
* [ML] Change Datafeed actions to read config from the config index (#33273)
* [ML] Allocate jobs based on JobParams rather than cluster state config (#33994)
* [ML] Return missing job error when .ml-config is does not exist (#34177)
* [ML] Close job in index (#34217)
* [ML] Adjust finalize job action to work with documents (#34226)
* [ML] Job in index: Datafeed node selector (#34218)
* [ML] Job in Index: Stop and preview datafeed (#34605)
* [ML] Delete job document (#34595)
* [ML] Convert job data remover to work with index configs (#34532)
* [ML] Job in index: Get datafeed and job stats from index (#34645)
* [ML] Job in Index: Convert get calendar events to index docs (#34710)
* [ML] Job in index: delete filter action (#34642)
This changes the delete filter action to search
for jobs using the filter to be deleted in the index
rather than the cluster state.
* [ML] Job in Index: Enable integ tests (#34851)
Enables the ml integration tests excluding the rolling upgrade tests and a lot of fixes to
make the tests pass again.
* [ML] Reimplement established model memory (#35500)
This is the 7.0 implementation of a master node service to
keep track of the native process memory requirement of each ML
job with an associated native process.
The new ML memory tracker service works when the whole cluster
is upgraded to at least version 6.6. For mixed version clusters
the old mechanism of established model memory stored on the job
in cluster state was used. This means that the old (and complex)
code to keep established model memory up to date on the job object
has been removed in 7.0.
Forward port of #35263
* [ML] Need to wait for shards to replicate in distributed test (#35541)
Because the cluster was expanded from 1 node to 3 indices would
initially start off with 0 replicas. If the original node was
killed before auto-expansion to 1 replica was complete then
the test would fail because the indices would be unavailable.
* [ML] DelayedDataCheckConfig index mappings (#35646)
* [ML] JIndex: Restore finalize job action (#35939)
* [ML] Replace Version.CURRENT in streaming functions (#36118)
* [ML] Use 'anomaly-detector' in job config doc name (#36254)
* [ML] Job In Index: Migrate config from the clusterstate (#35834)
Migrate ML configuration from clusterstate to index for closed jobs
only once all nodes are v6.6.0 or higher
* [ML] Check groups against job Ids on update (#36317)
* [ML] Adapt to periodic persistent task refresh (#36633)
* [ML] Adapt to periodic persistent task refresh
If https://github.com/elastic/elasticsearch/pull/36069/files is
merged then the approach for reallocating ML persistent tasks
after refreshing job memory requirements can be simplified.
This change begins the simplification process.
* Remove AwaitsFix and implement TODO
* [ML] Default search size for configs
* Fix TooManyJobsIT.testMultipleNodes
Two problems:
1. Stack overflow during async iteration when lots of
jobs on same machine
2. Not effectively setting search size in all cases
* Use execute() instead of submit() in MlMemoryTracker
We don't need a Future to wait for completion
* [ML][TEST] Fix NPE in JobManagerTests
* [ML] JIindex: Limit the size of bulk migrations (#36481)
* [ML] Prevent updates and upgrade tests (#36649)
* [FEATURE][ML] Add cluster setting that enables/disables config migration (#36700)
This commit adds a cluster settings called `xpack.ml.enable_config_migration`.
The setting is `true` by default. When set to `false`, no config migration will
be attempted and non-migrated resources (e.g. jobs, datafeeds) will be able
to be updated normally.
Relates #32905
* [ML] Snapshot ml configs before migrating (#36645)
* [FEATURE][ML] Split in batches and migrate all jobs and datafeeds (#36716)
Relates #32905
* SQL: Fix translation of LIKE/RLIKE keywords (#36672)
* SQL: Fix translation of LIKE/RLIKE keywords
Refactor Like/RLike functions to simplify internals and improve query
translation when chained or within a script context.
Fix#36039Fix#36584
* Fixing line length for EnvironmentTests and RecoveryTests (#36657)
Relates #34884
* Add back one line removed by mistake regarding java version check and
COMPAT jvm parameter existence
* Do not resolve addresses in remote connection info (#36671)
The remote connection info API leads to resolving addresses of seed
nodes when invoked. This is problematic because if a hostname fails to
resolve, we would not display any remote connection info. Yet, a
hostname not resolving can happen across remote clusters, especially in
the modern world of cloud services with dynamically chaning
IPs. Instead, the remote connection info API should be providing the
configured seed nodes. This commit changes the remote connection info to
display the configured seed nodes, avoiding a hostname resolution. Note
that care was taken to preserve backwards compatibility with previous
versions that expect the remote connection info to serialize a transport
address instead of a string representing the hostname.
* [Painless] Add boxed type to boxed type casts for method/return (#36571)
This adds implicit boxed type to boxed types casts for non-def types to create asymmetric casting relative to the def type when calling methods or returning values. This means that a user calling a method taking an Integer can call it with a Byte, Short, etc. legally which matches the way def works. This creates consistency in the casting model that did not previously exist.
* SNAPSHOTS: Adjust BwC Versions in Restore Logic (#36718)
* Re-enables bwc tests with adjusted version conditions now that #36397 enables concurrent snapshots in 6.6+
* ingest: fix on_failure with Drop processor (#36686)
This commit allows a document to be dropped when a Drop processor
is used in the on_failure fork of the processor chain.
Fixes#36151
* Initialize startup `CcrRepositories` (#36730)
Currently, the CcrRepositoryManger only listens for settings updates
and installs new repositories. It does not install the repositories that
are in the initial settings. This commit, modifies the manager to
install the initial repositories. Additionally, it modifies the ccr
integration test to configure the remote leader node at startup, instead
of using a settings update.
* [TEST] fix float comparison in RandomObjects#getExpectedParsedValue
This commit fixes a test bug introduced with #36597. This caused some
test failure as stored field values comparisons would not work when CBOR
xcontent type was used.
Closes#29080
* [Geo] Integrate Lucene's LatLonShape (BKD Backed GeoShapes) as default `geo_shape` indexing approach (#35320)
This commit exposes lucene's LatLonShape field as the
default type in GeoShapeFieldMapper. To use the new
indexing approach, simply set "type" : "geo_shape" in
the mappings without setting any of the strategy, precision,
tree_levels, or distance_error_pct parameters. Note the
following when using the new indexing approach:
* geo_shape query does not support querying by
MULTIPOINT.
* LINESTRING and MULTILINESTRING queries do not
yet support WITHIN relation.
* CONTAINS relation is not yet supported.
The tree, precision, tree_levels, distance_error_pct,
and points_only parameters are deprecated.
* TESTS:Debug Log. IndexStatsIT#testFilterCacheStats
* ingest: support default pipelines + bulk upserts (#36618)
This commit adds support to enable bulk upserts to use an index's
default pipeline. Bulk upsert, doc_as_upsert, and script_as_upsert
are all supported.
However, bulk script_as_upsert has slightly surprising behavior since
the pipeline is executed _before_ the script is evaluated. This means
that the pipeline only has access the data found in the upsert field
of the script_as_upsert. The non-bulk script_as_upsert (existing behavior)
runs the pipeline _after_ the script is executed. This commit
does _not_ attempt to consolidate the bulk and non-bulk behavior for
script_as_upsert.
This commit also adds additional testing for the non-bulk behavior,
which remains unchanged with this commit.
fixes#36219
* Fix duplicate phrase in shrink/split error message (#36734)
This commit removes a duplicate "must be a" from the shrink/split error
messages.
* Deprecate types in get_source and exist_source (#36426)
This change adds a new untyped endpoint `{index}/_source/{id}` for both the
GET and the HEAD methods to get the source of a document or check for its
existance. It also adds deprecation warnings to RestGetSourceAction that emit
a warning when the old deprecated "type" parameter is still used. Also updating
documentation and tests where appropriate.
Relates to #35190
* Revert "[Geo] Integrate Lucene's LatLonShape (BKD Backed GeoShapes) as default `geo_shape` indexing approach (#35320)"
This reverts commit 5bc7822562.
* Enhance Invalidate Token API (#35388)
This change:
- Adds functionality to invalidate all (refresh+access) tokens for all users of a realm
- Adds functionality to invalidate all (refresh+access)tokens for a user in all realms
- Adds functionality to invalidate all (refresh+access) tokens for a user in a specific realm
- Changes the response format for the invalidate token API to contain information about the
number of the invalidated tokens and possible errors that were encountered.
- Updates the API Documentation
After back-porting to 6.x, the `created` field will be removed from master as a field in the
response
Resolves: #35115
Relates: #34556
* Add raw sort values to SearchSortValues transport serialization (#36617)
In order for CCS alternate execution mode (see #32125) to be able to do the final reduction step on the CCS coordinating node, we need to serialize additional info in the transport layer as part of each `SearchHit`. Sort values are already present but they are formatted according to the provided `DocValueFormat` provided. The CCS node needs to be able to reconstruct the lucene `FieldDoc` to include in the `TopFieldDocs` and `CollapseTopFieldDocs` which will feed the `mergeTopDocs` method used to reduce multiple search responses (one per cluster) into one.
This commit adds such information to the `SearchSortValues` and exposes it through a new getter method added to `SearchHit` for retrieval. This info is only serialized at transport and never printed out at REST.
* Watcher: Ensure all internal search requests count hits (#36697)
In previous commits only the stored toXContent version of a search
request was using the old format. However an executed search request was
already disabling hit counts. In 7.0 hit counts will stay enabled by
default to allow for proper migration.
Closes#36177
* [TEST] Ensure shard follow tasks have really stopped.
Relates to #36696
* Ensure MapperService#getAllMetaFields elements order is deterministic (#36739)
MapperService#getAllMetaFields returns an array, which is created out of
an `ObjectHashSet`. Such set does not guarantee deterministic hash
ordering. The array returned by its toArray may be sorted differently
at each run. This caused some repeatability issues in our tests (see #29080)
as we pick random fields from the array of possible metadata fields,
but that won't be repeatable if the input array is sorted differently at
every run. Once setting the tests seed, hppc picks that up and the sorting is
deterministic, but failures don't repeat with the seed that gets printed out
originally (as a seed was not originally set).
See also https://issues.carrot2.org/projects/HPPC/issues/HPPC-173.
With this commit, we simply create a static sorted array that is used for
`getAllMetaFields`. The change is in production code but really affects
only testing as the only production usage of this method was to iterate
through all values when parsing fields in the high-level REST client code.
Anyways, this seems like a good change as returning an array would imply
that it's deterministically sorted.
* Expose Sequence Number based Optimistic Concurrency Control in the rest layer (#36721)
Relates #36148
Relates #10708
* [ML] Mute MlDistributedFailureIT
* Deprecate types in index API
- deprecate type-based constructors of IndexRequest
- update tests to use typeless IndexRequest constructors
- no yaml tests as they have been already added in #35790
Relates to #35190
The ML UI now provides the ability for users to annotate
time periods with arbitrary text to add insight to what
happened.
This change makes the backend create the index for these
annotations, together with read and write aliases to
make future upgrades possible without adding complexity
to the UI.
It also adds read and write permission to the index for
all ML users (not just admins).
The spec for the index is in
https://github.com/elastic/kibana/pull/26034/files#diff-c5c6ac3dbb0e7c91b6d127aa06121b2cR7
Relates #33376
Relates elastic/kibana#26034
The file structure finder has timeout functionality,
but prior to this change it would not interrupt a
single long-running Grok match attempt.
This commit hooks into the ThreadWatchdog facility
provided by the Grok library to interrupt individual
Grok matches that may be running at the time the
file structure finder timeout expires.
Redeprecates the `/_xpack/rollup` endpoints in favor of `/_rollup`.
When we cleanup the rollup in a cluster containing 6.x nodes we need to
use `/_xpack/rollup` instead of `/_rollup` because the 6.x nodes don't
know about `/_rollup`. In those cases we must ignore the deprecation
warnings that the 7.0 node will return for the end point.
Closes#36044
* This commit is part of our plan to deprecate and ultimately remove the use of _xpack in the REST APIs.
- REST API docs
- HLRC docs and doc tests
- Handle REST actions with deprecation warnings
- Changed endpoints in rest-api-spec and relevant file names
This commit makes FormatDateTimeFormatter and DateFormatter apis close
to each other, so that the former can be removed in favor of the latter.
This PR does not change the uses of FormatDateTimeFormatter yet, so that
that future change can be purely mechanical.
The results iterator is consuming and closing the results stream
once it is done. It seems this should not be the responsibility
of the results iterator. It stops the iterator from being reusable
for different processes where closing the stream is not desirable.
This commit is moving the consuming and closing of the results stream
into the autodetect result processor.
This commit moves back to use explicit dependsOn for test tasks on
check. Not all tasks extending RandomizedTestingTask should be run by
check directly.
This commit changes the format of the `hits.total` in the search response to be an object with
a `value` and a `relation`. The `value` indicates the number of hits that match the query and the
`relation` indicates whether the number is accurate (in which case the relation is equals to `eq`)
or a lower bound of the total (in which case it is equals to `gte`).
This change also adds a parameter called `rest_total_hits_as_int` that can be used in the
search APIs to opt out from this change (retrieve the total hits as a number in the rest response).
Note that currently all search responses are accurate (`track_total_hits: true`) or they don't contain
`hits.total` (`track_total_hits: true`). We'll add a way to get a lower bound of the total hits in a
follow up (to allow numbers to be passed to `track_total_hits`).
Relates #33028
Closes#35435
- make it easier to add additional testing tasks with the proper configuration and add some where they were missing.
- mute or fix failing tests
- add a check as part of testing conventions to find classes not included in any testing task.
This commit replaces usages of Streamable with Writeable for the
BaseTasksResponse / TransportTasksAction classes and subclasses of
these classes.
Note that where possible response fields were made final.
Relates to #34389
* Replace Streamable w/ Writeable in BaseTasksRequest and subclasses
This commit replaces usages of Streamable with Writeable for the
BaseTasksRequest / TransportTasksAction classes and subclasses of
these classes.
Relates to #34389
This commit removes the use of AbstractComponent in xpack where it was
still being extended. It has been replaced with explicit logger
declarations.
See #34488
* ML: Removing result_finalization_window && overlapping_buckets
* Reverting bad method deletions
* Setting to current before backport to try and get a green build
* fixing testBuildAutodetectCommand test
* disabling bwc tests for backport
Removed extending of AbstractComponent and changed logger usage to
explicit declaration. Abstract classes still have logger
declaration using this.getClass() in order to show implementation class
name in its logs.
See #34488
* ML: Adding missing datacheck to datafeedjob
* Adding client side and docs
* Making adjustments to validations
* Making values default to on, having more sensible limits
* Intermittent commit, still need to figure out interval
* Adjusting delayed data check interval
* updating docs
* Making parameter Boolean, so it is nullable
* bumping bwc to 7 before backport
* changing to version current
* moving delayed data check config its own object
* Separation of duties for delayed data detection
* fixing checkstyles
* fixing checkstyles
* Adjusting default behavior so that null windows are allowed
* Mentioning the default value
* Fixing comments, syncing up validations
This pull request replaces some blocks of code that must be run once
and that are currently based on AtomicBoolean by the convient RunOnce
class added in #35489.
The NPE would occur if should_trim_field was overridden to
true and any field value was completely blank. This change
defends against this situation.
Fixes#35462
This commit uses the index settings version so that a follower can
replicate index settings changes as needed from the leader.
Co-authored-by: Martijn van Groningen <martijn.v.groningen@gmail.com>
* Adding rollup support for datafeeds
* Fixing tests and adjusting formatting
* minor formatting chagne
* fixing some syntax and removing redundancies
* Refactoring and fixing failing test
* Refactoring, adding paranoid null check
* Moving rollup into the aggregation package
* making AggregationToJsonProcessor package private again
* Addressing test failure
* Fixing validations, chunking
* Addressing failing test
* rolling back RollupJobCaps changes
* Adding comment and cleaning up test
* Addressing review comments and test failures
* Moving builder logic into separate methods
* Addressing PR comments, adding test for rollup permissions
* Fixing test failure
* Adding rollup priv check on datafeed put
* Handling missing index when getting caps
* Fixing unused import
Stop passing `Settings` to `AbstractComponent`'s ctor. This allows us to
stop passing around `Settings` in a *ton* of places. While this change
touches many files, it touches them all in fairly small, mechanical
ways, doing a few things per file:
1. Drop the `super(settings);` line on everything that extends
`AbstractComponent`.
2. Drop the `settings` argument to the ctor if it is no longer used.
3. If the file doesn't use `logger` then drop `extends
AbstractComponent` from it.
4. Clean up all compilation failure caused by the `settings` removal
and drop any now unused `settings` isntances and method arguments.
I've intentionally *not* removed the `settings` argument from a few
files:
1. TransportAction
2. AbstractLifecycleComponent
3. BaseRestHandler
These files don't *need* `settings` either, but this change is large
enough as is.
Relates to #34488
Today when ESIntegTestCase starts some nodes it writes out the unicast hosts
files each time a node starts its transport service. This does mean that a
number of nodes can start and perform their first pinging round without any
unicast hosts which, if the timing is unlucky and a lot of nodes are all
started at the same time, can lead to a split brain as in #35052.
Prior to #33554 this was unlikely to happen since the MockUncasedHostsProvider
would always have yielded the existing hosts, so the timing would have to have
been implausibly unlucky. Since #33554, however, it's more likely because the
race occurs between the start of the first round of pinging and the writing of
the unicast hosts file. It is realistic that new nodes will be configured with
the existing nodes from startup, so this change reinstates that behaviour.
Closes#35052.
Drops the `Settings` member from `AbstractComponent`, moving it from the
base class on to the classes that use it. For the most part this is a
mechanical change that doesn't drop `Settings` accesses. The one
exception to this is naming threads where it switches from an invocation
that passes `Settings` and extracts the node name to one that explicitly
passes the node name.
This change doesn't drop the `Settings` argument from
`AbstractComponent`'s ctor because this change is big enough as is.
We'll do that in a follow up change.
Sometimes the cluster forming here will split-brain when it grows up to 5
nodes. This could be a timing issue or could be something going wrong in
discovery, so this asks for more logs. Relates #35052
The file structure finder endpoint can find the NDJSON
(newline-delimited JSON) file format, but called it
`json`. This change renames the `format` for this file
structure to `ndjson`, which is more precise and will
hopefully avoid confusion.
`AbstractComponent` is trouble because its name implies that
*everything* should extend from it. It *is* useful, but maybe too
broadly useful. The things it offers access too, the `Settings` instance
for the entire server and a logger are nice to have around, but not
really needed *everywhere*. The `Settings` instance especially adds a
fair bit of ceremony to testing without any value.
This removes the `nodeName` method from `AbstractComponent` so it is
more clear where we actually need the node name.
We currently have two different native processes:
autodetect & normalizer. There are plans for introducing
a new process. All these share many things in common.
This commit refactors the processes to extend an
`AbstractNativeProcess` class that encapsulates those
commonalities with the purpose of reusing the code
for new processes in the future.
This change ensures the `message` field is always included
in the `field_stats` for the semi-structured text log file
file structure. Previously it was not, as it will almost
certainly contain all distinct values. However, for
consistency in the UI it's useful to include it.
After discussing on the team's FixItFriday, we concluded that
static final instance variables that are mutable should be lowercased.
Historically, DeprecationLogger was uppercased more frequently than lowercased.
With this change, we apply the common test config automatically to all
newly created tasks instead of opting in specifically.
For plugin authors using the plugin externally this means that the
configuration will be applied to their RandomizedTestingTasks as well.
The purpose of the task is to simplify setup and make it easier to
change projects that use the `test` task but actually run integration
tests to use a task called `integTest` for clarity, but also because
we may want to configure and run them differently.
E.x. using different levels of concurrency.
#33708 introduced a strict deprecation mode that makes a REST request
fail if there is a warning header in the response returned by
Elasticsearch (usually a deprecation message signaling that a feature
or a field has been deprecated).
This change adds the strict deprecation mode into the REST integration
tests, and makes the tests fail if a deprecated feature is used. Also
any test using a deprecated feature has been modified to pass the build.
The YAML integration tests already analyzed HTTP warnings so they do
not use this mode, keeping their "expected vs actual" behavior.
All of the tests in PainlessDomainSplitIT have an awaitsfix, which
causes the build to fail since no tests are run. This adds an empty
test to get the build going again.
Relates #34683
Relates #32966
In some of our X-Pack REST tests we have to wait for pending tasks to
complete. We are now needing this functionality in ESRestTestCase for
the docs tests where we run against X-Pack features. This commit moves
the helper method that we have in X-Pack to ESRestTestCase, and removes
duplicate logic from waiting for rollup tasks to complete.
The setting that reduces the disk space requirement
for the forecasting integration tests was accidentally
removed in #31757 when files were moved around. This
change simply adds back the setting that existed before
that.
This commit moves the definition of domainSplit into java and exposes it
as a painless whitelist extension. The method also no longer needs
params, and version which ignores params is added and deprecated.
The ingest pipeline that is produced is very simple. It
contains a grok processor if the format is semi-structured
text, a date processor if the format contains a timestamp,
and a remove processor if required to remove the interim
timestamp field parsed out of semi-structured text.
Eventually the UI should offer the option to customize the
pipeline with additional processors to perform other data
preparation steps before ingesting data to an index.
In ccb9ab5717 we changed how we deal with time
fields to support the `DateTime`-format fields added in 6.0, but dropped
support for pre-6.x `Long`-format fields. This change reinstates this support
for cases where pre-6.x data is made available to ML (e.g. in a mixed-version
CCS setup or after an upgrade).
This changes the delete job API by adding
the choice to delete a job asynchronously.
The commit adds a `wait_for_completion` parameter
to the delete job request. When set to `false`,
the action returns immediately and the response
contains the task id.
This also changes the handling of subsequent
delete requests for a job that is already being
deleted. It now uses the task framework to check
if the job is being deleted instead of the cluster
state. This is a beneficial for it is going to also
be working once the job configs are moved out of the
cluster state and into an index. Also, force delete
requests that are waiting for the job to be deleted
will not proceed with the deletion if the first task
fails. This will prevent overloading the cluster. Instead,
the failure is communicated better via notifications
so that the user may retry.
Finally, this makes the `deleting` property of the job
visible (also it was renamed from `deleted`). This allows
a client to render a deleting job differently.
Closes#32836
This change fixes a potential deadlock problem in the unit
test introduced in #34117.
It also removes a piece of debug code and corrects a docs
formatting problem that were both added in that same PR.
This can be used to restrict the amount of CPU a single
structure finder request can use.
The timeout is not implemented precisely, so requests
may run for slightly longer than the timeout before
aborting.
The default is 25 seconds, which is a little below
Kibana's default timeout of 30 seconds for calls to
Elasticsearch APIs.
This change cleans up "unused variable" warnings. There are several cases were we
most likely want to suppress the warnings (especially in the client documentation test
where the snippets contain many unused variables). In a lot of cases the unused
variables can just be deleted though.
[ML] Modify thresholds for normalization triggers
The (arbitrary) threshold factors used to judge if scores have
changed significantly enough to trigger a look-back renormalization have
been changed to values that reduce the frequency of such
renormalizations.
Added a clause to treat changes in scores as a 'big change' if it would
result in a change of severity reported in the UI.
Also altered the clause affecting small scores so that a change should
be considered big if scores have changed by at least 1.5.
Relates https://github.com/elastic/machine-learning-qa/issues/263
Previously the timestamp_formats field in the response
from the find_file_structure endpoint contained Joda
timestamp formats. This change makes that clear by
renaming the field to joda_timestamp_formats, and also
adds a java_timestamp_formats field containing the
equivalent Java time format strings.
* Make certain ML node settings dynamic (#33565)
* Changing to pull in updating settings and pass to constructor
* adding note about only newly opened jobs getting updated value
Previously numeric values in the field_stats created by the
find_file_structure endpoint were always output with a
decimal point. This looked unfriendly and unnatural for
fields that clearly store integer values. This change
converts integer values to type Integer before output in
the file structure field stats.
This change adds the OneStatementPerLineCheck to our checkstyle precommit
checks. This rule restricts the number of statements per line to one. The
resoning behind this is that it is very difficult to read multiple statements on
one line. People seem to mostly use it in short lambdas and switch statements in
our code base, but just going through the changes already uncovered some actual
problems in randomization in test code, so I think its worth it.
The job deletion logic was scattered around a few places:
the transport action, the job manager and the deletion task.
Overloading the task with deletion logic also meant extra
dependencies in the core package which should be unnecessary.
This commit consolidates all this logic into the transport action
and replaces the deletion task with a plain one that needs not be
aware of deletion logic.
We currently special-case SynonymFilterFactory and SynonymGraphFilterFactory, which need to
know their predecessors in the analysis chain in order to correctly analyze their synonym lists. This
special-casing doesn't work with Referring filter factories, such as the Multiplexer or Conditional
filters. We also have a number of filters (eg the Multiplexer) that will break synonyms when they
appear before them in a chain, because they produce multiple tokens at the same position.
This commit adds two methods to the TokenFilterFactory interface.
* `getChainAwareTokenFilterFactory()` allows a filter factory to rewrite itself against its preceding
filter chain, or to resolve references to other filters. It replaces `ReferringFilterFactory` and
`CustomAnalyzerProvider.checkAndApplySynonymFilter`, and by default returns `this`.
* `getSynonymFilter()` defines whether or not a filter should be applied when building a synonym
list `Analyzer`. By default it returns `true`.
Fixes#33609
This change modifies the file structure detection functionality
such that some of the decisions can be overridden with user
supplied values.
The fields that can be overridden are:
- charset
- format
- has_header_row
- column_names
- delimiter
- quote
- should_trim_fields
- grok_pattern
- timestamp_field
- timestamp_format
If an override makes finding the file structure impossible then
the endpoint will return an exception.
This change addresses some issues regarding thread safety around
updates and method calls on the XPackLicenseState object. There exists
a possibility that there could be a concurrent update to the
XPackLicenseState when there is a scheduled check to see if the license
is expired and a cluster state update. In order to address this, the
update method now has a synchronized block where member variables are
updated. Each method that reads these variables is now also
synchronized.
Along with the above change, there was a consistency issue around
security calls to the license state. The majority of security checks
make two calls to the license state, which could result in incorrect
behavior due to the checks being made against different license states.
The majority of this behavior was introduced for 6.3 with the inclusion
of x-pack in the default distribution. In order to resolve the majority
of these cases, the `isSecurityEnabled` method is no longer public and
the logic is also included in individual methods about security such as
`isAuthAllowed`. There were a few cases where this did not remove
multiple calls on the license state, so a new method has been added
which creates a copy of the current license state that will not change.
Callers can use this copy of the license state to make decisions based
on a consistent view of the license state.
This change tightens up the meaning of the "input_fields" field
in the file structure finder output. Previously it was permitted
but not calculated for JSON and XML files. Following this change
the field is called "column_names" and is only permitted for
delimited files.
Additionally the way the column names are set for headerless
delimited files is refactored to encapsulate the way they're
named to one line of the code rather than having the same
logic in two places.
When requesting job stats for `_all`, all ES tasks are accepted
resulting to loads of cluster traffic and a memory overhead.
This commit correctly filters out non ML job tasks.
Closes#33515
This commit ensures that we bootstrap a new history_uuid when force
allocating a stale primary. A stale primary should never be the source
of an operation-based recovery to another shard which exists before the
forced-allocation.
Closes#26712
This endpoint accepts an arbitrary file in the request body and
attempts to determine the structure. If successful it also
proposes mappings that could be used when indexing the file's
contents, and calculates simple statistics for each of the fields
that are useful in the data preparation step prior to configuring
machine learning jobs.
This change collapses all metrics aggregations classes into a single package `org.elasticsearch.aggregations.metrics`.
It also restricts the visibility of some classes (aggregators and factories) that should not be used outside of the package.
Relates #22868
Many files supplied to the upcoming ML data preparation
functionality will not be "log" files. For example,
CSV files are generally not "log" files. Therefore it
makes sense to rename library that determines the
structure of these files.
Although "file structure" could be considered too broad,
as the library currently only works with a few text
formats, in the future it may be extended to work with
more formats.
The log structure endpoint will return these in addition to
pure structure information so that it can be used to drive
pre-import data visualizer functionality.
The statistics for every field are count, cardinality
(distinct count) and top hits (most common values). Extra
statistics are calculated if the field is numeric: min, max,
mean and median.
This is not changing the behaviour as when the sort field was set
to `influencer_score` the secondary sort would be used and that
was using the `record_score` at the highest priority.
1. The TOMCAT_DATESTAMP format needs to be checked before
TIMESTAMP_ISO8601, otherwise TIMESTAMP_ISO8601 will
match the start of the Tomcat datestamp.
2. Exclude more characters before and after numbers. For
example, in 1.2.3 we don't want to match 1.2 as a float.
David Turner
Henning Andersen
David Roberts
Mark Vieira
Dimitris Athanasiou
Yannick Welsch
Ed Savage
Zachary Tong
Ed Savage
Benjamin Trent
Jason Tedor
Ryan Ernst
Tom Veasey
Yogesh Gaikwad
Christoph Büscher
Zachary Tong
Iana Bondarska
David Kyle
Przemysław Witek
Mehran Koushkebaghi
Martijn Laarman
Boaz Leskes
Adrien Grand
Henrique Gonçalves
Jim Ferenczi
Lee Hinman
Alexander Reelsen
Hendrik Muhs
Julie Tibshirani
Gordon Brown
markharwood
Armin Braun
Alpar Torok
Mayya Sharipova
Nik Everett
Ioannis Kakavas
Martijn van Groningen
Jay Modi
Arthur Gavlyukovskiy
Tanguy Leroux
Tal Levy
Pratik Sanglikar
Lee Hinman
lipsill
jaymode
Colin Goodheart-Smithe
Kazuhiro Sera
Alan Woodward
Nhat Nguyen
Sohaib Iftikhar