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.