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.
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.
* [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] 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
* [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
Previously, a reindex request had two different size specifications in the body:
* Outer level, determining the maximum documents to process
* Inside the source element, determining the scroll/batch size.
The outer level size has now been renamed to max_docs to
avoid confusion and clarify its semantics, with backwards compatibility and
deprecation warnings for using size.
Similarly, the size parameter has been renamed to max_docs for
update/delete-by-query to keep the 3 interfaces consistent.
Finally, all 3 endpoints now support max_docs in both body and URL.
Relates #24344
This commit clones the existing AnalyzeRequest/AnalyzeResponse classes
to the high-level rest client, and adjusts request converters to use these new
classes.
This is a prerequisite to removing the Streamable interface from the internal
server version of these classes.
As a follow-up to #38540 we can use lambda functions and method
references where convenient in the low-level REST client.
Also, we need to update the docs to state that the minimum java version
required is 1.8.
The date_histogram accepts an interval which can be either a calendar
interval (DST-aware, leap seconds, arbitrary length of months, etc) or
fixed interval (strict multiples of SI units). Unfortunately this is inferred
by first trying to parse as a calendar interval, then falling back to fixed
if that fails.
This leads to confusing arrangement where `1d` == calendar, but
`2d` == fixed. And if you want a day of fixed time, you have to
specify `24h` (e.g. the next smallest unit). This arrangement is very
error-prone for users.
This PR adds `calendar_interval` and `fixed_interval` parameters to any
code that uses intervals (date_histogram, rollup, composite, datafeed, etc).
Calendar only accepts calendar intervals, fixed accepts any combination of
units (meaning `1d` can be used to specify `24h` in fixed time), and both
are mutually exclusive.
The old interval behavior is deprecated and will throw a deprecation warning.
It is also mutually exclusive with the two new parameters. In the future the
old dual-purpose interval will be removed.
The change applies to both REST and java clients.
* [ML] adding pivot.size option for setting paging size
* Changing field name to address PR comments
* fixing ctor usage
* adjust hlrc for field name change
* [ML] Adds progress reporting for transforms
* fixing after master merge
* Addressing PR comments
* removing unused imports
* Adjusting afterKey handling and percentage to be 100*
* Making sure it is a linked hashmap for serialization
* removing unused import
* addressing PR comments
* removing unused import
* simplifying code, only storing total docs and decrementing
* adjusting for rewrite
* removing initial progress gathering from executor
This commit fixes a problem with BWC that was brought up in #40511. A
newer version of the code was emitting a new value for an enum to an
older version, and the older version could not handle that. It caused
the response to error. The MainResponse is now relaxed, and will accept
whatever values the server expose, and holds most of them as Strings
instead of complex objects.
Fixes#40511
We generate two pages with "funny" names:
* _changing_the_client_8217_s_initialization_code.html
* _changing_the_application_8217_s_code.html
The leading `_` comes from us not specifying the name of the page. The
`8217` comes about because of the single quote character. This is a
funny name, but it is the name that we have so we shouldn't change it
without putting in a redirect.
We're looking at switching these docs from being built with the
no-longer-maintained AsciiDoc project to being built with the
actively-maintained Asciidoctor project. Asciidoctor Doesn't include the
`8217`s in the generated ids. That is *better*, but we don't really want
to change the pages. Ultimately we'd prefer none of our pages start with
`_`, but that is a problem for a different time.
Anyway, this pins the ids to their "funny" id so it won't change when we
switch to Asciidoctor. We'll remove it later, when we have more fine
control of our redirects.
* [ML] Add data frame task state object and field
* A new state item is added so that the overall task state can be
accoutned for
* A new FAILED state and reason have been added as well so that failures
can be shown to the user for optional correction
* Addressing PR comments
* adjusting after master merge
* addressing pr comment
* Adjusting auditor usage with failure state
* Refactor, renamed state items to task_state and indexer_state
* Adding todo and removing redundant auditor call
* Address HLRC changes and PR comment
* adjusting hlrc IT test
* [ML] make source and dest objects in the transform config
* addressing PR comments
* Fixing compilation post merge
* adding comment for Arrays.hashCode
* addressing changes for moving dest to object
* fixing data_frame yml tests
* fixing API test
The Migration Assistance API has been functionally replaced by the
Deprecation Info API, and the Migration Upgrade API is not used for the
transition from ES 6.x to 7.x, and does not need to be kept around to
repair indices that were not properly upgraded before upgrading the
cluster, as was the case in 6.
This commit introduces the forget follower API. This API is needed in cases that
unfollowing a following index fails to remove the shard history retention leases
on the leader index. This can happen explicitly through user action, or
implicitly through an index managed by ILM. When this occurs, history will be
retained longer than necessary. While the retention lease will eventually
expire, it can be expensive to allow history to persist for that long, and also
prevent ILM from performing actions like shrink on the leader index. As such, we
introduce an API to allow for manual removal of the shard history retention
leases in this case.
We have had various reports of problems caused by the maxRetryTimeout
setting in the low-level REST client. Such setting was initially added
in the attempts to not have requests go through retries if the request
already took longer than the provided timeout.
The implementation was problematic though as such timeout would also
expire in the first request attempt (see #31834), would leave the
request executing after expiration causing memory leaks (see #33342),
and would not take into account the http client internal queuing (see #25951).
Given all these issues, it seems that this custom timeout mechanism
gives little benefits while causing a lot of harm. We should rather rely
on connect and socket timeout exposed by the underlying http client
and accept that a request can overall take longer than the configured
timeout, which is the case even with a single retry anyways.
This commit removes the `maxRetryTimeout` setting and all of its usages.
Elasticsearch has long [supported](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html#index-versioning) compare and set (a.k.a optimistic concurrency control) operations using internal document versioning. Sadly that approach is flawed and can sometime do the wrong thing. Here's the relevant excerpt from the resiliency status page:
> When a primary has been partitioned away from the cluster there is a short period of time until it detects this. During that time it will continue indexing writes locally, thereby updating document versions. When it tries to replicate the operation, however, it will discover that it is partitioned away. It won’t acknowledge the write and will wait until the partition is resolved to negotiate with the master on how to proceed. The master will decide to either fail any replicas which failed to index the operations on the primary or tell the primary that it has to step down because a new primary has been chosen in the meantime. Since the old primary has already written documents, clients may already have read from the old primary before it shuts itself down. The version numbers of these reads may not be unique if the new primary has already accepted writes for the same document
We recently [introduced](https://www.elastic.co/guide/en/elasticsearch/reference/6.x/optimistic-concurrency-control.html) a new sequence number based approach that doesn't suffer from this dirty reads problem.
This commit removes support for internal versioning as a concurrency control mechanism in favor of the sequence number approach.
Relates to #1078
X-Pack security supports built-in authentication service
`token-service` that allows access tokens to be used to
access Elasticsearch without using Basic authentication.
The tokens are generated by `token-service` based on
OAuth2 spec. The access token is a short-lived token
(defaults to 20m) and refresh token with a lifetime of 24 hours,
making them unsuitable for long-lived or recurring tasks where
the system might go offline thereby failing refresh of tokens.
This commit introduces a built-in authentication service
`api-key-service` that adds support for long-lived tokens aka API
keys to access Elasticsearch. The `api-key-service` is consulted
after `token-service` in the authentication chain. By default,
if TLS is enabled then `api-key-service` is also enabled.
The service can be disabled using the configuration setting.
The API keys:-
- by default do not have an expiration but expiration can be
configured where the API keys need to be expired after a
certain amount of time.
- when generated will keep authentication information of the user that
generated them.
- can be defined with a role describing the privileges for accessing
Elasticsearch and will be limited by the role of the user that
generated them
- can be invalidated via invalidation API
- information can be retrieved via a get API
- that have been expired or invalidated will be retained for 1 week
before being deleted. The expired API keys remover task handles this.
Following are the API key management APIs:-
1. Create API Key - `PUT/POST /_security/api_key`
2. Get API key(s) - `GET /_security/api_key`
3. Invalidate API Key(s) `DELETE /_security/api_key`
The API keys can be used to access Elasticsearch using `Authorization`
header, where the auth scheme is `ApiKey` and the credentials, is the
base64 encoding of API key Id and API key separated by a colon.
Example:-
```
curl -H "Authorization: ApiKey YXBpLWtleS1pZDphcGkta2V5" http://localhost:9200/_cluster/health
```
Closes#34383
Added deprecation warnings for use of include_type_name in put/get index templates.
HLRC changes:
GetIndexTemplateRequest has a new client-side class which is a copy of server's GetIndexTemplateResponse but modified to be typeless.
PutIndexTemplateRequest has a new client-side counterpart which doesn't use types in the mappings
Relates to #35190
This commit modifies the put follow index action to use a
CcrRepository when creating a follower index. It routes
the logic through the snapshot/restore process. A
wait_for_active_shards parameter can be used to configure
how long to wait before returning the response.
From previous PRs, we've already added support for include_type_name to
the get mapping API. We had also taken an approach to the HLRC where the
server-side `GetMappingResponse#fromXContent` could only handle typeless
input.
This PR updates the HLRC for 'get mapping' to be in line with our new approach:
* Add a typeless 'get mappings' method to the Java HLRC, that accepts new
client-side request and response objects. This new response only handles
typeless mapping definitions.
* Switch the old version of `GetMappingResponse` back to expecting typed
mappings, and deprecate the corresponding method on the HLRC.
Finally, the PR also does some small, related clean-up around 'get field mappings'.
From #29453 and #37285, the include_type_name parameter was already present and defaulted to false. This PR makes the following updates:
* Add deprecation warnings to RestCreateIndexAction, plus tests in RestCreateIndexActionTests.
* Add a typeless 'create index' method to the Java HLRC, and deprecate the old typed version. To do this cleanly, I created new CreateIndexRequest and CreateIndexResponse objects that differ from the existing server ones.
The EmptyResponse is essentially the same as returning a boolean, which
is done in other places. This commit deprecates all the existing
EmptyResponse methods and creates new boolean methods that have method
params reordered so they can exist with the deprecated methods. A
followup PR in master will remove the existing deprecated methods, fix
the parameter ordering and deprecate the incorrectly ordered parameter
methods.
Relates #36938
- Add deprecation warning to RestGetFieldMappingAction
- Add two new java HRLC classes GetFieldMappingsRequest and
GetFieldMappingsResponse. These classes use new typeless forms
of a request and response, and differ in that from the server
versions.
Relates to #35190
From #29453 and #37285, the `include_type_name` parameter was already present and defaulted to false. This PR makes the following updates:
- Add deprecation warnings to `RestPutMappingAction`, plus tests in `RestPutMappingActionTests`.
- Add a typeless 'put mappings' method to the Java HLRC, and deprecate the old typed version. To do this cleanly, I opted to create a new `PutMappingRequest` object that differs from the existing server one.
David Roberts
Christoph Büscher
Dimitris Athanasiou
Tim Vernum
Benjamin Trent
James Rodewig
Henning Andersen
Alan Woodward
Luca Cavanna
Zachary Tong
Lisa Cawley
Jason Tedor
David Kyle
Michael Basnight
Nik Everett
Gordon Brown
Tal Levy
Martijn van Groningen
David Pilato
Boaz Leskes
Yogesh Gaikwad
Mayya Sharipova
markharwood
Tim Brooks
Julie Tibshirani