* [ML] Not an error to close a job twice
* Error if job is opening
* Address review comments
* Test closed job isn’t resolved
Original commit: elastic/x-pack-elasticsearch@7da7b24c08
Originally we used to try to get the native code version even when ML was disabled.
However, this has proved to be an annoyance in cases where people running on
unsupported platforms have disabled ML. This commit means we'll only try to get
the native code version if ML is enabled on a node.
Original commit: elastic/x-pack-elasticsearch@778d6708d2
This removes the "node" type from `.monitoring-data-2`. This data is sent to _both_ the time-based and non-time-based indexes for Elasticsearch, but the UI only used the time-based variant already.
This is another step in the process of removing the `.monitoring-data-2` index. There is now only one `_type` left in that index: `cluster_info`, which is used by the UI and phone home stats because it contains the license details _and_ the `stack_stats` (e.g., `xpack_usage`).
Original commit: elastic/x-pack-elasticsearch@2cadb5939d
* [DOCS] Add ML analytical functions
* [DOCS] Add pages for ML analytical functions
* [DOCS] Add links to ML functions from API definitions
Original commit: elastic/x-pack-elasticsearch@ae50b431d3
This is a task towards allowing rollover.
Multiple model_size_stats are stored in order to allow
analytics of the memory usage over time. The job _stats
need to display the latest model_size_stats. Before this
commit, the latest model_size_stats was being stored with
a special ID and it was retrieved using that ID. This
does not lend itself well for rollover as we would end up
with multiple of those special IDs in the rolled indices.
This commit removes the need to store a special model_size_stats
version. Job _stats now retrieve the model_size_stats by searching
for the latest one. It also uses a manual ID for all model_size_stats
in order to maintain a single document per log_time.
Relates elastic/x-pack-elasticsearch#827
Original commit: elastic/x-pack-elasticsearch@b2796e9b08
Now that the Monitoring UI no longer checks the `.monitoring-data-2` index
for Kibana, Logstash, or Beats data, we can stop accepting the duplicated
data in that index (the _exact_ same documents are also indexed into the
time-based index for each product).
This ignores rather than rejects requests that contain such documents to
allow older clients to communicate with a 5.5+ monitoring cluster.
Original commit: elastic/x-pack-elasticsearch@def472cf2e
- role_mapping.native is always present, but contains no entries if the security index is unavailable
- file based role mapping does not allow duplicate keys
Original commit: elastic/x-pack-elasticsearch@734cf7e2c0
As fields with underscores will be disallowed in master, and we have to
prepare the upgrade, this commit renames the _status field to status.
When the 5.x upgrade logic is in place in the 5.x we can remove all the
old style _status handling from the master branch.
Note: All the BWC compatibility tests, that load 5.x indices are now
faking a finished upgrade by adding the `status` field to the mapping
of the watches index.
Original commit: elastic/x-pack-elasticsearch@9d5cc9aaec
In some cases (based on the randomisation) the primary-realm would have no mappings, but the secondary-realm would.
If this occurred we wouldn't write out any mappings and the secondary-realm would not authorize the access being tested
Original commit: elastic/x-pack-elasticsearch@8e81ec9dd7
This introduces a role-mapping API to X-Pack security.
Features:
- A `GET`/`PUT`/`DELETE` API at `/_xpack/security/role_mapping/`
- Role-mappings are stored in the `.security` index
- A custom expression language (in JSON) for expressing the mapping rules
- Supported in LDAP/AD and PKI realms
- LDAP realm also supports loading arbitrary meta-data (which can be used in the mapping rules)
- A CompositeRoleMapper unifies roles from the existing file based mapper, and the new API based mapper.
- Usage stats for native role mappings
Original commit: elastic/x-pack-elasticsearch@d9972ed1da
This is related to elastic/elasticsearch#24412. That commit changed how
ListenableActionFuture implementations are created. This commit
updates x-pack to be compatible with those changes. In particular, all
the usages of ListenableActionFuture in x-pack could be replaced with
PlainActionFuture as the "listening" functionality was not being used.
Original commit: elastic/x-pack-elasticsearch@7c8d8e3df9
JobDataDeleter handles the deletion logic for 3 cases:
1. deleting a model snapshot and its state docs
2. deleting all results after a timestamp
3. deleting all interim results
The last 2 are currently implemented by manually performing
a search and scroll and then adding matching hits in a bulk
delete action. This operation is exactly what delete-by-query
does.
This commit changes JobDataDeleter to use delete-by-query. This
makes the code simpler and less error-prone. The downside is
losing some logging which seems non-critical. Unit tests for
JobDataDeleter are also removed as they are heavily mocked tests,
adding little value and high maintenance cost. This functionality
is tested by integration tests already.
relates elastic/x-pack-elasticsearch#821
Original commit: elastic/x-pack-elasticsearch@7da91332bd
* [DOCS] Add property table for ML Update Jobs API
* [DOCS] Updates based on feedback for ML Update Jobs API
* [DOCS] Removed detector properties from ML Update Jobs API
* [DOCS] Fixes typos
Original commit: elastic/x-pack-elasticsearch@68d1b5598c
The distribution of watches now happens on the node which holds the
watches index, instead of on the master node. This requires several
changes to the current implementation.
1. Running on shards and replicas
In order to run watches on the nodes with the watches index on its
primaries and replicas. To ensure that watches do not run twice, there is
a logic which checks the local shards, runs a murmurhash on the id and
runs modulo against the number of shards and replicas, this is the way to
find out, if a watch should run local. Reloading happens
2. Several master node actions moved to a HandledTransportAction, as they
are basically just aliases for indexing actions, among them the
put/delete/get watch actions, the acknowledgement action, the de/activate
actions
3. Stats action moved to a broadcast node action, because we potentially
have to query every node to get watcher statistics
4. Starting/Stopping watcher now is a master node action, which updates
the cluster state and then listeners acts on those. Because of this watches
can be running on two systems, if you those have different cluster state
versions, until the new watcher state is propagated
5. Watcher is started on all nodes now. With the exception of the ticker
schedule engine most classes do not need a lot of resources while running.
However they have to run, because of the execute watch API, which can hit
any node - it does not make sense to find the right shard for this watch
and only then execute (as this also has to work with a watch, that has not
been stored before)
6. By using a indexing operation listener, each storing of a watch now
parses the watch first and only stores on successful parsing
7. Execute watch API now uses the watcher threadpool for execution
8. Getting the number of watches for the stats now simply queries the
different execution engines, how many watches are scheduled, so this is
not doing a search anymore
There will be follow up commits on this one, mainly to ensure BWC compatibility.
Original commit: elastic/x-pack-elasticsearch@0adb46e658
Within the same JVM, setting the number of processors available to Netty
can only be done once. However, tests randomize the number of processors
and so without intervention would attempt to set this value multiple
times. Therefore, we need to use a flag that prevents setting this value
in tests.
Relates elastic/x-pack-elasticsearch#1266
Original commit: elastic/x-pack-elasticsearch@d127149725
David Kyle
David Roberts
Lisa Cawley
Dimitris Athanasiou
Tim Vernum
Chris Earle
Tanguy Leroux
Simon Willnauer
Igor Motov
Adrien Grand
Alexander Reelsen
Jim Ferenczi
Tim Vernum
Luca Cavanna
Tim Brooks
Hendrik Muhs
Daniel Mitterdorfer
Chee Wee
debadair
Jason Tedor