* [ML][Data Frame] Add update transform api endpoint (#45154)
This adds the ability to `_update` stored data frame transforms. All mutable fields are applied when the next checkpoint starts. The exception being `description`.
This PR contains all that is necessary for this addition:
* HLRC
* Docs
* Server side
This adds support for `geo_bounds` aggregation inside the `pivot.aggregations` configuration.
The two points returned from the `geo_bounds` aggregation are transformed into `geo_shape` whose types are dynamic given the point's similarity.
* `point` if the two points are identical
* `linestring` if the two points share either a latitude or longitude
* `polygon` if the two points are completely different
The automatically deduced mapping for the resulting field is a `geo_shape`.
introduces an abstraction for how checkpointing and synchronization works, covering
- retrieval of checkpoints
- check for updates
- retrieving stats information
This is a followup to #44350. The indexer stats used to
be persisted standalone, but now are only persisted as
part of a state-and-stats document. During the review
of #44350 it was decided that we'll stick with this
design, so there will never be a need for an indexer
stats object to store its transform ID as it is stored
on the enclosing document. This PR removes the indexer
stats document ID.
Backport of #44768
This change adjusts the data frame transforms stats
endpoint to return a structure that is easier to
understand.
This is a breaking change for clients of the data frame
transforms stats endpoint, but the feature is in beta so
stability is not guaranteed.
Backport of #44350
Since #44344 we use IndicesOptions.LENIENT_EXPAND_OPEN
when deciding which indices to include in checkpoint
calculation. This change uses the same option when
deciding which indices to search for data and which
indices to get mappings from, otherwise there is a
potential mismatch between the checkpoint details and
what is searched elsewhere.
This adds a new dynamic cluster setting `xpack.data_frame.num_transform_failure_retries`.
This setting indicates how many times non-critical failures should be retried before a data frame transform is marked as failed and should stop executing. At the time of this commit; Min: 0, Max: 100, Default: 10
* [ML][Data Frame] treat bulk index failures as an indexing failure
* removing redundant public modifier
* changing to an ElasticsearchException
* fixing redundant public modifier
make checkpointing more robust:
- do not let checkpointing fail if indexes got deleted
- treat missing seqNoStats as just created indices (checkpoint 0)
- loglevel: do not treat failed updated checks as error
fixes#43992
Test clusters currently has its own set of logic for dealing with
finding different versions of Elasticsearch, downloading them, and
extracting them. This commit converts testclusters to use the
DistributionDownloadPlugin.
This commit creates new base classes for master node actions whose
response types still implement Streamable. This simplifies both finding
remaining classes to convert, as well as creating new master node
actions that use Writeable for their responses.
relates #34389
Rewrites how continuous data frame transforms calculates and handles buckets that require an update. Instead of storing the whole set in memory, it pages through the updates using a 2nd cursor. This lowers memory consumption and prevents problems with limits at query time (max_terms_count). The list of updates can be re-retrieved in a failure case (#43662)
Previously a data frame transform would check whether the
source index was changed every 10 seconds. Sometimes it
may be desirable for the check to be done less frequently.
This commit increases the default to 60 seconds but also
allows the frequency to be overridden by a setting in the
data frame transform config.
Data frame task responses had logic to return a HTTP 500 status code if there was
any node or task failures even if other tasks in the same request reported correctly.
This is different to how other task responses are handled where a 200 is always
returned leaving the client should check for failures. Returning a 500 also breaks
the high level rest client so always return a 200
Closes#44011
* [ML][Data Frame] Adding bwc tests for pivot transform (#43506)
* [ML][Data Frame] Adding bwc tests for pivot transform
* adding continuous transforms
* adding continuous dataframes to bwc
* adding continuous data frame tests
* Adding rolling upgrade tests for continuous df
* Fixing test
* Adjusting indices used in BWC, and handling NPE for seq_no_stats
* updating and muting specific bwc test
* Adjusting bwc tests for backport
* [ML][Data Frame] add node attr to GET _stats (#43842)
* [ML][Data Frame] add node attr to GET _stats
* addressing testing issues with node.attributes
* adjusting for backport
* [ML][Data Frame] using transform creation version for node assignment (#43764)
* [ML][Data Frame] using transform creation version for node assignment
* removing unused imports
* Addressing PR comment
* adjusing for backport
Action is a class that encapsulates meta information about an action
that allows it to be called remotely, specifically the action name and
response type. With recent refactoring, the action class can now be
constructed as a static constant, instead of needing to create a
subclass. This makes the old pattern of creating a singleton INSTANCE
both misnamed and lacking a common placement.
This commit renames Action to ActionType, thus allowing the old INSTANCE
naming pattern to be TYPE on the transport action itself. ActionType
also conveys that this class is also not the action itself, although
this change does not rename any concrete classes as those will be
removed organically as they are converted to TYPE constants.
relates #34389
* [ML][Data Frame] Add support for allow_no_match for endpoints (#43490)
* [ML][Data Frame] Add support for allow_no_match parameter in endpoints
Adds support for:
* Get Transforms
* Get Transforms stats
* stop transforms
* Update DataFrameTransformDocumentationIT.java
This merges the initial work that adds a framework for performing
machine learning analytics on data frames. The feature is currently experimental
and requires a platinum license. Note that the original commits can be
found in the `feature-ml-data-frame-analytics` branch.
A new set of APIs is added which allows the creation of data frame analytics
jobs. Configuration allows specifying different types of analysis to be performed
on a data frame. At first there is support for outlier detection.
The APIs are:
- PUT _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}/_stats
- POST _ml/data_frame/analysis/{id}/_start
- POST _ml/data_frame/analysis/{id}/_stop
- DELETE _ml/data_frame/analysis/{id}
When a data frame analytics job is started a persistent task is created and started.
The main steps of the task are:
1. reindex the source index into the dest index
2. analyze the data through the data_frame_analyzer c++ process
3. merge the results of the process back into the destination index
In addition, an evaluation API is added which packages commonly used metrics
that provide evaluation of various analysis:
- POST _ml/data_frame/_evaluate
This commit replaces usages of Streamable with Writeable for the
AcknowledgedResponse and its subclasses, plus associated actions.
Note that where possible response fields were made final and default
constructors were removed.
This is a large PR, but the change is mostly mechanical.
Relates to #34389
Backport of #43414
* [ML][Data Frame] Add version and create_time to transform config (#43384)
* [ML][Data Frame] Add version and create_time to transform config
* s/transform_version/version s/Date/Instant
* fixing getter/setter for version
* adjusting for backport
* [ML][Data Frame] make response.count be total count of hits
* addressing line length check
* changing response count for filters
* adjusting serialization, variable name, and total count logic
* making count mandatory for creation
* [ML][Data Frame] adds new pipeline field to dest config (#43124)
* [ML][Data Frame] adds new pipeline field to dest config
* Adding pipeline support to _preview
* removing unused import
* moving towards extracting _source from pipeline simulation
* fixing permission requirement, adding _index entry to doc
* adjusting for java 8 compatibility
* adjusting bwc serialization version to 7.3.0
* [ML][Data Frame] only complete task after state persistence
There is a race condition where the task could be completed, but there
is still a pending document write. This change moves
the task cancellation into the actionlistener of the state persistence.
intermediate commit
intermediate commit
* removing unused import
* removing unused const
* refreshing internal index after waiting for task to complete
* adjusting test data generation
Benjamin Trent
Hendrik Muhs
David Roberts
Ryan Ernst
David Kyle
Przemysław Witek
Dimitris Athanasiou
Martijn van Groningen