Commit Graph

429 Commits

Author SHA1 Message Date
Hendrik Muhs e974f178b5 [Transform] rename data frame transform to transform for hlrc client (#46933)
rename data frame transform to transform for hlrc
2019-09-25 08:31:43 +02:00
Lisa Cawley 875d864be6
[DOCS] Update data frame transform URLs (#46940) (#46946) 2019-09-20 15:57:43 -07:00
Lisa Cawley d62e1a3d8b [DOCS] Fixes data frame analytics job terminology in HLRC (#46758) 2019-09-16 10:07:59 -07:00
Lisa Cawley dddc9b3d73 [DOCS] Updates dataframe transform terminology (#46642) 2019-09-16 08:32:13 -07:00
Jilles van Gurp 030d43a76a Add a few notes on Cancellable to the LLRC and HLRC docs. (#45912)
Add a section to both the low level and high level client documentation on asynchronous usage and `Cancellable` added for #44802 

Co-Authored-By: Lee Hinman <dakrone@users.noreply.github.com>
2019-09-12 09:45:29 +02:00
Luca Cavanna cfb186afaf Add support for cancelling async requests in low-level REST client (#45379)
The low-level REST client exposes a `performRequestAsync` method that
allows to send async requests, but today it does not expose the ability
to cancel such requests. That is something that the underlying apache
async http client supports, and it makes sense for us to expose.

This commit adds a return value to the `performRequestAsync` method,
which is backwards compatible. A `Cancellable` object gets returned,
which exposes a `cancel` public method. When calling `cancel`, the
on-going request associated with the returned `Cancellable` instance
will be cancelled by calling its `abort` method. This works throughout
multiple retries, though some special care was needed for the case where
`cancel` is called between different attempts (when one attempt has
failed and the consecutive one has not been sent yet).

Note that cancelling a request on the client side does not automatically 
translate to cancelling the server side execution of it. That needs to be 
specifically implemented, which is on the work for the search API (see #43332).

Relates to #44802
2019-09-12 09:45:28 +02:00
Lisa Cawley ec5592ed76 [DOCS] Adds missing icons to Watcher HLRC APIs (#46626) 2019-09-11 16:35:15 -07:00
Lisa Cawley 4e371a220b [DOCS] Adds missing icons to ILM HLRC APIs (#46633) 2019-09-11 15:46:19 -07:00
Lisa Cawley c3b6e6fe96 [DOCS] Adds missing icons to CCR HLRC APIs (#46631) 2019-09-11 15:37:20 -07:00
Lisa Cawley 8200010e0a [DOCS] Adds missing icons to Graph HLRC APIs (#46630) 2019-09-11 15:22:10 -07:00
Lisa Cawley 769f42bdd7 [DOCS] Add missing icons to security HLRC APIs (#46619) 2019-09-11 15:05:31 -07:00
Lisa Cawley e609011754 [DOCS] Add missing icons to rollup HLRC APIs (#46617) 2019-09-11 11:50:22 -07:00
Lisa Cawley fa54de7789 [DOCS] Add missing icons to transform HLRC APIs (#46616) 2019-09-11 11:22:58 -07:00
Lisa Cawley 7461259ba6 [DOCS] Adds missing icons to ML HLRC APIs (#46515) 2019-09-10 08:28:02 -07:00
Lee Hinman cdc3a260af
Add retention to Snapshot Lifecycle Management (backport of #4… (#46506)
* Add retention to Snapshot Lifecycle Management (#46407)

This commit adds retention to the existing Snapshot Lifecycle Management feature (#38461) as described in #43663. This allows a user to configure SLM to automatically delete older snapshots based on a number of criteria.

An example policy would look like:

```
PUT /_slm/policy/snapshot-every-day
{
  "schedule": "0 30 2 * * ?",
  "name": "<production-snap-{now/d}>",
  "repository": "my-s3-repository",
  "config": {
    "indices": ["foo-*", "important"]
  },
  // Newly configured retention options
  "retention": {
    // Snapshots should be deleted after 14 days
    "expire_after": "14d",
    // Keep a maximum of thirty snapshots
    "max_count": 30,
    // Keep a minimum of the four most recent snapshots
    "min_count": 4
  }
}
```

SLM Retention is run on a scheduled configurable with the `slm.retention_schedule` setting, which supports cron expressions. Deletions are run for a configurable time bounded by the `slm.retention_duration` setting, which defaults to 1 hour.

Included in this work is a new SLM stats API endpoint available through

``` json
GET /_slm/stats
```

That returns statistics about snapshot taken and deleted, as well as successful retention runs, failures, and the time spent deleting snapshots. #45362 has more information as well as an example of the output. These stats are also included when retrieving SLM policies via the API.

* Add base framework for snapshot retention (#43605)

* Add base framework for snapshot retention

This adds a basic `SnapshotRetentionService` and `SnapshotRetentionTask`
to start as the basis for SLM's retention implementation.

Relates to #38461

* Remove extraneous 'public'

* Use a local var instead of reading class var repeatedly

* Add SnapshotRetentionConfiguration for retention configuration (#43777)

* Add SnapshotRetentionConfiguration for retention configuration

This commit adds the `SnapshotRetentionConfiguration` class and its HLRC
counterpart to encapsulate the configuration for SLM retention.
Currently only a single parameter is supported as an example (we still
need to discuss the different options we want to support and their
names) to keep the size of the PR down. It also does not yet include version serialization checks
since the original SLM branch has not yet been merged.

Relates to #43663

* Fix REST tests

* Fix more documentation

* Use Objects.equals to avoid NPE

* Put `randomSnapshotLifecyclePolicy` in only one place

* Occasionally return retention with no configuration

* Implement SnapshotRetentionTask's snapshot filtering and delet… (#44764)

* Implement SnapshotRetentionTask's snapshot filtering and deletion

This commit implements the snapshot filtering and deletion for
`SnapshotRetentionTask`. Currently only the expire-after age is used for
determining whether a snapshot is eligible for deletion.

Relates to #43663

* Fix deletes running on the wrong thread

* Handle missing or null policy in snap metadata differently

* Convert Tuple<String, List<SnapshotInfo>> to Map<String, List<SnapshotInfo>>

* Use the `OriginSettingClient` to work with security, enhance logging

* Prevent NPE in test by mocking Client

* Allow empty/missing SLM retention configuration (#45018)

Semi-related to #44465, this allows the `"retention"` configuration map
to be missing.

Relates to #43663

* Add min_count and max_count as SLM retention predicates (#44926)

This adds the configuration options for `min_count` and `max_count` as
well as the logic for determining whether a snapshot meets this criteria
to SLM's retention feature.

These options are optional and one, two, or all three can be specified
in an SLM policy.

Relates to #43663

* Time-bound deletion of snapshots in retention delete function (#45065)

* Time-bound deletion of snapshots in retention delete function

With a cluster that has a large number of snapshots, it's possible that
snapshot deletion can take a very long time (especially since deletes
currently have to happen in a serial fashion). To prevent snapshot
deletion from taking forever in a cluster and blocking other operations,
this commit adds a setting to allow configuring a maximum time to spend
deletion snapshots during retention. This dynamic setting defaults to 1
hour and is best-effort, meaning that it doesn't hard stop a deletion
at an hour mark, but ensures that once the time has passed, all
subsequent deletions are deferred until the next retention cycle.

Relates to #43663

* Wow snapshots suuuure can take a long time.

* Use a LongSupplier instead of actually sleeping

* Remove TestLogging annotation

* Remove rate limiting

* Add SLM metrics gathering and endpoint (#45362)

* Add SLM metrics gathering and endpoint

This commit adds the infrastructure to gather metrics about the different SLM actions that a cluster
takes. These actions are stored in `SnapshotLifecycleStats` and perpetuated in cluster state. The
stats stored include the number of snapshots taken, failed, deleted, the number of retention runs,
as well as per-policy counts for snapshots taken, failed, and deleted. It also includes the amount
of time spent deleting snapshots from SLM retention.

This commit also adds an endpoint for retrieving all stats (further commits will expose this in the
SLM get-policy API) that looks like:

```
GET /_slm/stats
{
  "retention_runs" : 13,
  "retention_failed" : 0,
  "retention_timed_out" : 0,
  "retention_deletion_time" : "1.4s",
  "retention_deletion_time_millis" : 1404,
  "policy_metrics" : {
    "daily-snapshots2" : {
      "snapshots_taken" : 7,
      "snapshots_failed" : 0,
      "snapshots_deleted" : 6,
      "snapshot_deletion_failures" : 0
    },
    "daily-snapshots" : {
      "snapshots_taken" : 12,
      "snapshots_failed" : 0,
      "snapshots_deleted" : 12,
      "snapshot_deletion_failures" : 6
    }
  },
  "total_snapshots_taken" : 19,
  "total_snapshots_failed" : 0,
  "total_snapshots_deleted" : 18,
  "total_snapshot_deletion_failures" : 6
}
```

This does not yet include HLRC for this, as this commit is quite large on its own. That will be
added in a subsequent commit.

Relates to #43663

* Version qualify serialization

* Initialize counters outside constructor

* Use computeIfAbsent instead of being too verbose

* Move part of XContent generation into subclass

* Fix REST action for master merge

* Unused import

*  Record history of SLM retention actions (#45513)

This commit records the deletion of snapshots by the retention component
of SLM into the SLM history index for the purposes of reviewing operations
taken by SLM and alerting.

* Retry SLM retention after currently running snapshot completes (#45802)

* Retry SLM retention after currently running snapshot completes

This commit adds a ClusterStateObserver to wait until the currently
running snapshot is complete before proceeding with snapshot deletion.
SLM retention waits for the maximum allowed deletion time for the
snapshot to complete, however, the waiting time is not factored into
the limit on actual deletions.

Relates to #43663

* Increase timeout waiting for snapshot completion

* Apply patch

From 2374316f0d.patch

* Rename test variables

* [TEST] Be less strict for stats checking

* Skip SLM retention if ILM is STOPPING or STOPPED (#45869)

This adds a check to ensure we take no action during SLM retention if
ILM is currently stopped or in the process of stopping.

Relates to #43663

* Check all actions preventing snapshot delete during retention (#45992)

* Check all actions preventing snapshot delete during retention run

Previously we only checked to see if a snapshot was currently running,
but it turns out that more things can block snapshot deletion. This
changes the check to be a check for:

- a snapshot currently running
- a deletion already in progress
- a repo cleanup in progress
- a restore currently running

This was found by CI where a third party delete in a test caused SLM
retention deletion to throw an exception.

Relates to #43663

* Add unit test for okayToDeleteSnapshots

* Fix bug where SLM retention task would be scheduled on every node

* Enhance test logging

* Ignore if snapshot is already deleted

* Missing import

* Fix SnapshotRetentionServiceTests

* Expose SLM policy stats in get SLM policy API (#45989)

This also adds support for the SLM stats endpoint to the high level rest client.

Retrieving a policy now looks like:

```json
{
  "daily-snapshots" : {
    "version": 1,
    "modified_date": "2019-04-23T01:30:00.000Z",
    "modified_date_millis": 1556048137314,
    "policy" : {
      "schedule": "0 30 1 * * ?",
      "name": "<daily-snap-{now/d}>",
      "repository": "my_repository",
      "config": {
        "indices": ["data-*", "important"],
        "ignore_unavailable": false,
        "include_global_state": false
      },
      "retention": {}
    },
    "stats": {
      "snapshots_taken": 0,
      "snapshots_failed": 0,
      "snapshots_deleted": 0,
      "snapshot_deletion_failures": 0
    },
    "next_execution": "2019-04-24T01:30:00.000Z",
    "next_execution_millis": 1556048160000
  }
}
```

Relates to #43663

* Rewrite SnapshotLifecycleIT as as ESIntegTestCase (#46356)

* Rewrite SnapshotLifecycleIT as as ESIntegTestCase

This commit splits `SnapshotLifecycleIT` into two different tests.
`SnapshotLifecycleRestIT` which includes the tests that do not require
slow repositories, and `SLMSnapshotBlockingIntegTests` which is now an
integration test using `MockRepository` to simulate a snapshot being in
progress.

Relates to #43663
Resolves #46205

* Add error logging when exceptions are thrown

* Update serialization versions

* Fix type inference

* Use non-Cancellable HLRC return value

* Fix Client mocking in test

* Fix SLMSnapshotBlockingIntegTests for 7.x branch

* Update SnapshotRetentionTask for non-multi-repo snapshot retrieval

* Add serialization guards for SnapshotLifecyclePolicy
2019-09-10 09:08:09 -06:00
Lisa Cawley b11968cf4d [DOCS] Synchs Watcher API titles with better HLRC titles (#46328) 2019-09-04 17:04:19 -07:00
Dimitris Athanasiou bb8fcb3cac
[7.x][ML][HLRC] Add data frame analytics regression analysis (#46024) (#46053) 2019-08-28 12:02:14 +03:00
Yogesh Gaikwad 7b6246ec67
Add `manage_own_api_key` cluster privilege (#45897) (#46023)
The existing privilege model for API keys with privileges like
`manage_api_key`, `manage_security` etc. are too permissive and
we would want finer-grained control over the cluster privileges
for API keys. Previously APIs created would also need these
privileges to get its own information.

This commit adds support for `manage_own_api_key` cluster privilege
which only allows api key cluster actions on API keys owned by the
currently authenticated user. Also adds support for retrieval of
the API key self-information when authenticating via API key
without the need for the additional API key privileges.
To support this privilege, we are introducing additional
authentication context along with the request context such that
it can be used to authorize cluster actions based on the current
user authentication.

The API key get and invalidate APIs introduce an `owner` flag
that can be set to true if the API key request (Get or Invalidate)
is for the API keys owned by the currently authenticated user only.
In that case, `realm` and `username` cannot be set as they are
assumed to be the currently authenticated ones.

The changes cover HLRC changes, documentation for the API changes.

Closes #40031
2019-08-28 00:44:23 +10:00
Dimitris Athanasiou dd6c13fdf9
[ML] Add description to DF analytics (#45774) (#46019) 2019-08-27 15:48:59 +03:00
Albert Zaharovits 1ebee5bf9b
PKI realm authentication delegation (#45906)
This commit introduces PKI realm delegation. This feature
supports the PKI authentication feature in Kibana.

In essence, this creates a new API endpoint which Kibana must
call to authenticate clients that use certificates in their TLS
connection to Kibana. The API call passes to Elasticsearch the client's
certificate chain. The response contains an access token to be further
used to authenticate as the client. The client's certificates are validated
by the PKI realms that have been explicitly configured to permit
certificates from the proxy (Kibana). The user calling the delegation
API must have the delegate_pki privilege.

Closes #34396
2019-08-27 14:42:46 +03:00
markharwood 217e41ab6c
Search - added HLRC support for PinnedQueryBuilder (#45779) (#45853)
Added HLRC support for PinnedQueryBuilder

Related  #44074
2019-08-23 09:22:17 +01:00
Przemysław Witek 7512337922
[7.x] Allow the user to specify 'query' in Evaluate Data Frame request (#45775) (#45825) 2019-08-22 11:14:26 +02:00
Przemysław Witek 5faa012fd6
[7.x] Add docs for HLRC for Estimate memory usage API (#45538) (#45783) 2019-08-21 14:27:36 +02:00
Jim Ferenczi 79a1390935 Add mapper-extras and the RankFeatureQuery in the hlrc (#43713)
This change adds the support for the RankFeatureQuery in the HLRC by
providing an extra dependency on mapper-extras-client. It also removes
the dependency on lang-painless in mapper-extras which is not needed
anymore since the move of the vector field into a dedicated module.

Closes #43634
2019-08-14 18:41:39 +02:00
David Roberts 14545f8958
[ML-DataFrame] Combine task_state and indexer_state in _stats (#45324)
This commit replaces task_state and indexer_state in the
data frame _stats output with a single top level state
that combines the two. It is defined as:

- failed if what's currently reported as task_state is failed
- stopped if there is no persistent task
- Otherwise what's currently reported as indexer_state

Backport of #45276
2019-08-08 16:24:26 +01:00
Benjamin Trent 5db9982f71
[7.x] [ML][Data Frame] Add update transform api endpoint (#45154) (#45279)
* [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
2019-08-07 10:37:35 -05:00
Lisa Cawley 7c9c9a9cc4 [DOCS] Reformats ML update APIs (#45253) 2019-08-06 11:16:29 -07:00
James Rodewig 8dd74dfe0b Rename "indices APIs" to "index APIs" (#44863) 2019-08-02 14:10:09 -04:00
Lisa Cawley e4b7ae211b [DOCS] Updates terms in machine learning get APIs (#44986) 2019-07-30 11:29:25 -07:00
Lisa Cawley cef375f883 [DOCS] Updates terms in machine learning datafeed APIs (#44883) 2019-07-26 10:48:28 -07:00
Yannick Welsch 0ce841915c Add Clone Index API (#44267)
Adds an API to clone an index. This is similar to the index split and shrink APIs, just with the
difference that the number of primary shards is kept the same. In case where the filesystem
provides hard-linking capabilities, this is a very cheap operation.

Indexing cloning can be done by running `POST my_source_index/_clone/my_target_index` and it
supports the same options as the split and shrink APIs.

Closes #44128
2019-07-25 22:02:28 +02:00
Lisa Cawley 21971feae8 [DOCS] Updates terms in machine learning calendar APIs (#44866) 2019-07-25 11:50:34 -07:00
lcawl 6a60fd6d30 [DOCS] Fixes terms in HLRC data frame transform APIs (#44838) (#44865) 2019-07-25 10:08:38 -07:00
Lisa Cawley a79adca7e3 [DOCS] Updates terms in anomaly detection job APIs (#44839) 2019-07-25 09:06:52 -07:00
Tanguy Leroux a8905ef142
[7.x] Add CloseIndexResponse to HLRC (#44349) (#44788)
The CloseIndexResponse was improved in #39687; this commit
exposes it in the HLRC.

Backport of #44349 to 7.x.
2019-07-24 15:51:01 +02:00
David Roberts caf9411a72
[ML] Improve response format of data frame stats endpoint (#44743)
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
2019-07-23 18:00:50 +01:00
Przemysław Witek 16c8e18013
Deprecate the ability to update datafeed's job_id. (#44691) (#44742) 2019-07-23 14:48:56 +02:00
Benjamin Trent 4456850a8e
[7.x] [ML][Data Frame] Add optional defer_validation param to PUT (#44455) (#44697)
* [ML][Data Frame] Add optional defer_validation param to PUT (#44455)

* [ML][Data Frame] Add optional defer_validation param to PUT

* addressing PR comments

* reverting bad replace

* addressing pr comments

* Update put-transform.asciidoc

* Update put-transform.asciidoc

* Update put-transform.asciidoc

* adjusting for backport

* fixing imports

* [DOCS] Fixes formatting in  create data frame transform API
2019-07-22 15:12:55 -05:00
Benjamin Trent 06e21f7902
[7.x] [ML][Data Frame] adding force delete (#44590) (#44696)
* [ML][Data Frame] adding force delete (#44590)

* [ML][Data Frame] adding force delete

* Update delete-transform.asciidoc

* adjusting for backport
2019-07-22 13:13:25 -05:00
James Rodewig d46545f729 [DOCS] Update anchors and links for Elasticsearch API relocation (#44500) 2019-07-19 09:18:23 -04:00
Lee Hinman fb0461ac76
[7.x] Add Snapshot Lifecycle Management (#44382)
* Add Snapshot Lifecycle Management (#43934)

* Add SnapshotLifecycleService and related CRUD APIs

This commit adds `SnapshotLifecycleService` as a new service under the ilm
plugin. This service handles snapshot lifecycle policies by scheduling based on
the policies defined schedule.

This also includes the get, put, and delete APIs for these policies

Relates to #38461

* Make scheduledJobIds return an immutable set

* Use Object.equals for SnapshotLifecyclePolicy

* Remove unneeded TODO

* Implement ToXContentFragment on SnapshotLifecyclePolicyItem

* Copy contents of the scheduledJobIds

* Handle snapshot lifecycle policy updates and deletions (#40062)

(Note this is a PR against the `snapshot-lifecycle-management` feature branch)

This adds logic to `SnapshotLifecycleService` to handle updates and deletes for
snapshot policies. Policies with incremented versions have the old policy
cancelled and the new one scheduled. Deleted policies have their schedules
cancelled when they are no longer present in the cluster state metadata.

Relates to #38461

* Take a snapshot for the policy when the SLM policy is triggered (#40383)

(This is a PR for the `snapshot-lifecycle-management` branch)

This commit fills in `SnapshotLifecycleTask` to actually perform the
snapshotting when the policy is triggered. Currently there is no handling of the
results (other than logging) as that will be added in subsequent work.

This also adds unit tests and an integration test that schedules a policy and
ensures that a snapshot is correctly taken.

Relates to #38461

* Record most recent snapshot policy success/failure (#40619)

Keeping a record of the results of the successes and failures will aid
troubleshooting of policies and make users more confident that their
snapshots are being taken as expected.

This is the first step toward writing history in a more permanent
fashion.

* Validate snapshot lifecycle policies (#40654)

(This is a PR against the `snapshot-lifecycle-management` branch)

With the commit, we now validate the content of snapshot lifecycle policies when
the policy is being created or updated. This checks for the validity of the id,
name, schedule, and repository. Additionally, cluster state is checked to ensure
that the repository exists prior to the lifecycle being added to the cluster
state.

Part of #38461

* Hook SLM into ILM's start and stop APIs (#40871)

(This pull request is for the `snapshot-lifecycle-management` branch)

This change allows the existing `/_ilm/stop` and `/_ilm/start` APIs to also
manage snapshot lifecycle scheduling. When ILM is stopped all scheduled jobs are
cancelled.

Relates to #38461

* Add tests for SnapshotLifecyclePolicyItem (#40912)

Adds serialization tests for SnapshotLifecyclePolicyItem.

* Fix improper import in build.gradle after master merge

* Add human readable version of modified date for snapshot lifecycle policy (#41035)

* Add human readable version of modified date for snapshot lifecycle policy

This small change changes it from:

```
...
"modified_date": 1554843903242,
...
```

To

```
...
"modified_date" : "2019-04-09T21:05:03.242Z",
"modified_date_millis" : 1554843903242,
...
```

Including the `"modified_date"` field when the `?human` field is used.

Relates to #38461

* Fix test

* Add API to execute SLM policy on demand (#41038)

This commit adds the ability to perform a snapshot on demand for a policy. This
can be useful to take a snapshot immediately prior to performing some sort of
maintenance.

```json
PUT /_ilm/snapshot/<policy>/_execute
```

And it returns the response with the generated snapshot name:

```json
{
  "snapshot_name" : "production-snap-2019.04.09-rfyv3j9qreixkdbnfuw0ug"
}
```

Note that this does not allow waiting for the snapshot, and the snapshot could
still fail. It *does* record this information into the cluster state similar to
a regularly trigged SLM job.

Relates to #38461

* Add next_execution to SLM policy metadata (#41221)

* Add next_execution to SLM policy metadata

This adds the next time a snapshot lifecycle policy will be executed when
retriving a policy's metadata, for example:

```json
GET /_ilm/snapshot?human
{
  "production" : {
    "version" : 1,
    "modified_date" : "2019-04-15T21:16:21.865Z",
    "modified_date_millis" : 1555362981865,
    "policy" : {
      "name" : "<production-snap-{now/d}>",
      "schedule" : "*/30 * * * * ?",
      "repository" : "repo",
      "config" : {
        "indices" : [
          "foo-*",
          "important"
        ],
        "ignore_unavailable" : true,
        "include_global_state" : false
      }
    },
    "next_execution" : "2019-04-15T21:16:30.000Z",
    "next_execution_millis" : 1555362990000
  },
  "other" : {
    "version" : 1,
    "modified_date" : "2019-04-15T21:12:19.959Z",
    "modified_date_millis" : 1555362739959,
    "policy" : {
      "name" : "<other-snap-{now/d}>",
      "schedule" : "0 30 2 * * ?",
      "repository" : "repo",
      "config" : {
        "indices" : [
          "other"
        ],
        "ignore_unavailable" : false,
        "include_global_state" : true
      }
    },
    "next_execution" : "2019-04-16T02:30:00.000Z",
    "next_execution_millis" : 1555381800000
  }
}
```

Relates to #38461

* Fix and enhance tests

* Figured out how to Cron

* Change SLM endpoint from /_ilm/* to /_slm/* (#41320)

This commit changes the endpoint for snapshot lifecycle management from:

```
GET /_ilm/snapshot/<policy>
```

to:

```
GET /_slm/policy/<policy>
```

It mimics the ILM path only using `slm` instead of `ilm`.

Relates to #38461

* Add initial documentation for SLM (#41510)

* Add initial documentation for SLM

This adds the initial documentation for snapshot lifecycle management.

It also includes the REST spec API json files since they're sort of
documentation.

Relates to #38461

* Add `manage_slm` and `read_slm` roles (#41607)

* Add `manage_slm` and `read_slm` roles

This adds two more built in roles -

`manage_slm` which has permission to perform any of the SLM actions, as well as
stopping, starting, and retrieving the operation status of ILM.

`read_slm` which has permission to retrieve snapshot lifecycle policies as well
as retrieving the operation status of ILM.

Relates to #38461

* Add execute to the test

* Fix ilm -> slm typo in test

* Record SLM history into an index (#41707)

It is useful to have a record of the actions that Snapshot Lifecycle
Management takes, especially for the purposes of alerting when a
snapshot fails or has not been taken successfully for a certain amount of
time.

This adds the infrastructure to record SLM actions into an index that
can be queried at leisure, along with a lifecycle policy so that this
history does not grow without bound.

Additionally,
SLM automatically setting up an index + lifecycle policy leads to
`index_lifecycle` custom metadata in the cluster state, which some of
the ML tests don't know how to deal with due to setting up custom
`NamedXContentRegistry`s.  Watcher would cause the same problem, but it
is already disabled (for the same reason).

* High Level Rest Client support for SLM (#41767)

* High Level Rest Client support for SLM

This commit add HLRC support for SLM.

Relates to #38461

* Fill out documentation tests with tags

* Add more callouts and asciidoc for HLRC

* Update javadoc links to real locations

* Add security test testing SLM cluster privileges (#42678)

* Add security test testing SLM cluster privileges

This adds a test to `PermissionsIT` that uses the `manage_slm` and `read_slm`
cluster privileges.

Relates to #38461

* Don't redefine vars

*  Add Getting Started Guide for SLM  (#42878)

This commit adds a basic Getting Started Guide for SLM.

* Include SLM policy name in Snapshot metadata (#43132)

Keep track of which SLM policy in the metadata field of the Snapshots
taken by SLM. This allows users to more easily understand where the
snapshot came from, and will enable future SLM features such as
retention policies.

* Fix compilation after master merge

* [TEST] Move exception wrapping for devious exception throwing

Fixes an issue where an exception was created from one line and thrown in another.

* Fix SLM for the change to AcknowledgedResponse

* Add Snapshot Lifecycle Management Package Docs (#43535)

* Fix compilation for transport actions now that task is required

* Add a note mentioning the privileges needed for SLM (#43708)

* Add a note mentioning the privileges needed for SLM

This adds a note to the top of the "getting started with SLM"
documentation mentioning that there are two built-in privileges to
assist with creating roles for SLM users and administrators.

Relates to #38461

* Mention that you can create snapshots for indices you can't read

* Fix REST tests for new number of cluster privileges

* Mute testThatNonExistingTemplatesAreAddedImmediately (#43951)

* Fix SnapshotHistoryStoreTests after merge

* Remove overridden newResponse functions that have been removed

* Fix compilation for backport

* Fix get snapshot output parsing in test

* [DOCS] Add redirects for removed autogen anchors (#44380)

* Switch <tt>...</tt> in javadocs for {@code ...}
2019-07-16 07:37:13 -06:00
Lisa Cawley 4e0cc1be8f [DOCS] Fixes attribute in data frame transform API (#44249) 2019-07-12 09:56:35 -07:00
David Roberts cb62d4acdf [ML-DataFrame] Add a frequency option to transform config, default 1m (#44120)
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.
2019-07-10 09:59:00 +01:00
Christoph Büscher 662f517f4e Add _reload_search_analyzers endpoint to HLRC (#43733)
This change adds the new endpoint that allows reloading of search analyzers to
the high-level java rest client.

Relates to #43313
2019-07-03 12:05:59 +02:00
Dimitris Athanasiou 96b0b27f18
[7.x][ML] Set df-analytics task state to failed when appropriate (#43880) (#43906)
This introduces a `failed` state to which the data frame analytics
persistent task is set to when something unexpected fails. It could
be the process crashing, the results processor hitting some error,
etc. The failure message is then captured and set on the task state.
From there, it becomes available via the _stats API as `failure_reason`.

The df-analytics stop API now has a `force` boolean parameter. This allows
the user to call it for a failed task in order to reset it to `stopped` after
we have ensured the failure has been communicated to the user.

This commit also adds the analytics version in the persistent task
params as this allows us to prevent tasks to run on unsuitable nodes in
the future.
2019-07-03 12:41:56 +03:00
Tim Vernum 2a8f30eb9a
Support builtin privileges in get privileges API (#43901)
Adds a new "/_security/privilege/_builtin" endpoint so that builtin
index and cluster privileges can be retrieved via the Rest API

Backport of: #42134
2019-07-03 19:08:28 +10:00
Benjamin Trent fb825a6470
[7.x] [ML][Data Frame] add node attr to GET _stats (#43842) (#43894)
* [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
2019-07-02 19:35:37 -05:00
Benjamin Trent c121b00c98
[7.x] [ML][Data Frame] Add support for allow_no_match for endpoints (#43490) (#43637)
* [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
2019-06-26 10:09:56 -05:00
Dimitris Athanasiou 126c2fd2d5
[7.x][ML] Machine learning data frame analytics (#43544) (#43592)
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
2019-06-25 20:29:11 +03:00
James Rodewig 359b103f87 [DOCS] Rewrite term-level queries overview (#43337) 2019-06-21 11:55:02 -04:00