This adds a minimum compatible version to the model snapshot.
Nodes with a version earlier than that version cannot read
that model snapshot. Thus, such jobs are not assigned to
incompatible nodes.
relates elastic/x-pack-elasticsearch#4077
Original commit: elastic/x-pack-elasticsearch@2ffa6adce0
* Decouple XContentBuilder from BytesReference
This commit handles the removal of all mentions of BytesReference from
XContentBuilder. This is needed so that we can completely decouple the XContent
code and move it into its own dependency.
This is the x-pack side of https://github.com/elastic/elasticsearch/pull/28972
Original commit: elastic/x-pack-elasticsearch@8ba2e97b26
This commit replaces the usage of Lucene IOUtils with Elasticsearch
IOUtils, the former of which is now forbidden.
Original commit: elastic/x-pack-elasticsearch@8e0554001f
Up to now a job update that reduces the model memory limit
was not allowed. However, there could definitely be cases
where reducing the limit is necessary and reasonable.
This commit makes it possible to decrease the limit as long
as it does not go below the current memory usage. We obtain
the latter from the model size stats.
The conditions under which updating the model_memory_limit
is not allowed are now:
- when the job is open
- latest model_size_stats.model_bytes < new value
relates elastic/x-pack-elasticsearch#2461
Original commit: elastic/x-pack-elasticsearch@5b35923590
This wraps the stream (`.streamInput()`) that is passed to many of the
`createParser` instances in the enclosing (or a new) try-with-resources block.
This ensures the `BytesReference.streamInput()` is closed.
Relates to elastic/x-pack-elasticsearch#28504
Original commit: elastic/x-pack-elasticsearch@7546e3b4d4
Analysis limits contain settings that affect the resources
used by ML jobs. Those limits always take place. However,
explictly setting them is not required as they have reasonable
defaults. For a long time those defaults lived on the c++ side.
The job could just not have any explicit limits and that meant
defaults would be used at the c++ side. This has the disadvantage
that it is not obvious to the users what these settings are set to.
Additionally, users might not be aware of the settings existence.
On top of that, since 6.1, the default model_memory_limit was lowered
from 4GB to 1GB. For BWC, this meant that jobs where model_memory_limit
is null, the default of 4GB applies. Jobs that were created from 6.1
onwards, contain an explicit setting for model_memory_limit, which is
1GB unless the user sets it differently. This adds additional confusion.
This commit makes analysis limits an always explicit setting on the job.
Regardless of whether the user sets custom limits or not, the job object
(and response) will contain the full analysis limits values.
The possibilities for interpretation of missing values are:
- the entire analysis_limits is null: this may only happen for jobs
created prior to 6.1. Thus we set the model_memory_limit to 4GB.
- analysis_limits are non-null but model_memory_limit is: this also
may only happen for jobs prior to 6.1. Again, we set memory limit to
4GB.
- model_memory_limit is non-null: this either means the user set an
explicit value or the job was created from 6.1 onwards and it has
the explicit default of 1GB. We simply keep the given value.
For categorization_examples_limit the default has always been 4, so
we fill that in when it's missing.
Finally, note that we still need to handle potential null values
for the situation of a mixed cluster.
Original commit: elastic/x-pack-elasticsearch@5b6994ef75
* Pass InputStream when creating XContent parser
Rather than passing the raw `BytesReference` in when creating the xcontent
parser, this passes the StreamInput (which is an InputStream), this allows us to
decouple XContent from BytesReference.
This is the x-pack side of https://github.com/elastic/elasticsearch/pull/28754
* Use the streamInput variant, not sourceAsString
Original commit: elastic/x-pack-elasticsearch@dd5d8b1654
We were missing a notification for when a job is updated. This is
useful so users know that there's been changes which could justify
a change in the job behaviour.
In addition, having those notifications allows our integrations
tests to know when the update was processed which avoids having
to use `sleep()` with its instabilities.
Original commit: elastic/x-pack-elasticsearch@0b4eda2232
There were a number of leftover unnecessary elements in the module
build.gradle files that were holdovers from copying the original plugin
build.gradle. This commit removes these elements.
Original commit: elastic/x-pack-elasticsearch@08babbd520
The notifier is scheduled to run once per second. Currently,
it simply polls for the next update in the queue. However,
when there are multiple updates queued up, there is no
reason to wait for subsequent runs in order to execute the
rest of the updates.
This commit changes the notifier to drain the queue each time
it runs. It then serially executes the updates.
relates elastic/x-pack-elasticsearch#3769
Original commit: elastic/x-pack-elasticsearch@7a433c17f2
In order to more easily integrate xpack once it moves into the
elasticsearch repo, references to the existing x-pack-elasticsearch need
to be reduced. This commit introduces a few helper "methods" available
to any project within xpack (through gradle project extension
properties, as closures). All refeerences to project paths now use these
helper methods, except for those pertaining to bwc, which will be
handled in a followup.
Original commit: elastic/x-pack-elasticsearch@850668744c
Now that ML binaries are public, there is no longer a need to use the s3
client to access the bucket, since creds are not needed. This commit
also moves the cpp snapshot project under the ml module, since it is
specific to that and does not need to clutter the plugin dir.
Original commit: elastic/x-pack-elasticsearch@51e77da4ac
This commit reenables running ITs in xpack by adding an internalClusterTest to xpack modules that contain ESIntegTestCase tests. The new task allows us to run these independently of rest integ tests, which are disabled for xpack modules because installing the bundled plugins directly is not quite the same as installing via the meta plugin. Some tests (ML) are moved to their own qa module to accommodate the need for a real cluster. A couple tests (monitoring and upgrade) have been marked as AwaitsFix.
Commits that have been folded into this commit:
* Move ML IT tests to qa/ml-native-tests
* Add internalClusterTest task and disable rest integ tests for xpack
modules. Also tweak ML tests and get upgrade tests working
* Adding the keystore and security back to the ml native tests
* Fixing native integ test
* Fix last ML test, add awaits fix to monitoring and upgrade tests
* cleanup PR
* fix checkstyle
Original commit: elastic/x-pack-elasticsearch@3c0ed6fd3b
By moving these into the ML module:
1. The classes are in the same module as their unit tests
2. We can extend the JobProvider in the future with functionality
that is not in core
Original commit: elastic/x-pack-elasticsearch@610a89a3d9
The security manager permissions were copied wholesale from pre-split
X-Pack. However, this grants unnecessary permissions to the child
plugins. This commit is a simple attempt at removing permissions that
are not needed in the child plugins.
Relates elastic/x-pack-elasticsearch#3651
Original commit: elastic/x-pack-elasticsearch@8325ed83d7
This commit moves the source file in x-pack-core to a org.elasticsearch.xpack.core package. This is to prevent issues where we have compile-time success reaching through packages that will cross module boundaries at runtime (due to being in different classloaders). By moving these to a separate package, we have compile-time safety. Follow-ups can consider build time checking that only this package is defined in x-pack-core, or sealing x-pack-core until modules arrive for us.
Original commit: elastic/x-pack-elasticsearch@232e156e0e
At present the PersistentTasksService is created inside the ML plugin.
This is undesirable, as other plugins will use persistent tasks in the
near future.
This change refactors the startup code so that the PersistentTasksService
no longer needs to be passed to any constructors for ML components.
A future change will still be required to actually move the initialization
of the PersistentTasksClusterService, PersistentTasksService and
PersistentTasksExecutorRegistry out of the ML plugin, but following this
change it should be fairly simple.
Original commit: elastic/x-pack-elasticsearch@3c2a8e020e
Lee Hinman
Tanguy Leroux
Dimitris Athanasiou
Jason Tedor
Yannick Welsch
David Roberts
David Kyle
Luca Cavanna
Tim Brooks
Ryan Ernst
Martijn van Groningen
Lee Hinman
Simon Willnauer
Michael Basnight
Alexander Reelsen