The data frame plugin allows users to create feature indexes by pivoting a source index. In a
nutshell this can be understood as reindex supporting aggregations or similar to the so called entity
centric indexing.
Full history is provided in: feature/data-frame-transforms
`SearchShardIterator` inherits its `compareTo` implementation from `PlainShardIterator`. That is good in most of the cases, as such comparisons are based on the shard id which is unique, even when searching against indices with same names across multiple clusters (thanks to the index uuid being different). In case though the same cluster is registered multiple times with different aliases, the shard id is exactly the same, hence remote results will be returned before local ones with same shard id objects. That is because remote iterators are added before local ones, and we use a stable sorting method in `GroupShardIterators` constructor.
This PR enhances `compareTo` for `SearchShardIterator` to tie break on cluster alias and introduces consistent `equals` and `hashcode` methods. This allows to remove a TODO in `SearchResponseMerger` which otherwise has to handle this special case specifically. Also, while at it I added missing tests around equals/hashcode and compareTo and expanded existing ones.
the get-ml-info API documentation tested that the
response show that ML's `upgrade_mode` was false.
For reasons that may be true due to other tests running in
parallel or not cleaning themselves up, this may not be
guaranteed. Since the actual value here is not of importance,
this commit relaxes the requirement that upgrade_mode be
static.
Forward port of https://github.com/elastic/elasticsearch/pull/38757
This change reverts the initial 7.0 commits and replaces them
with the 6.7 variant that still allows for the ecs flag.
This commit differs from the 6.7 variants in that ecs flag will
now default to true.
6.7: `ecs` : default `false`
7.x: `ecs` : default `true`
8.0: no option, but behaves as `true`
* Revert "Ingest node - user agent, move device to an object (#38115)"
This reverts commit 5b008a34aa.
* Revert "Add ECS schema for user-agent ingest processor (#37727) (#37984)"
This reverts commit cac6b8e06f.
* cherry-pick 5dfe1935345da3799931fd4a3ebe0b6aa9c17f57
Add ECS schema for user-agent ingest processor (#37727)
* cherry-pick ec8ddc890a34853ee8db6af66f608b0ad0cd1099
Ingest node - user agent, move device to an object (#38115) (#38121)
* cherry-pick f63cbdb9b426ba24ee4d987ca767ca05a22f2fbb (with manual merge fixes)
Dep. check for ECS changes to User Agent processor (#38362)
* make true the default for the ecs option, and update 7.0 references and tests
`<expression>::<dataType>` is a simplified altenative syntax to
`CAST(<expression> AS <dataType> which exists in PostgreSQL and
provides an improved user experience and possibly more compact
SQL queries.
Fixes: #38717
Make substitution of \u200C with a space explicit
The problem with this symbol `\u200C` in a test string,
that **SHOULD** be substituted with space in the rebuilt Persian analyzer, but it is not.
Correcting this line `"mappings": [ "\\u200C=> "] <1>` to
`"mappings": [ "\\u200C=>\\u0020"] <1>` in solves the problem.
This change explicitly says to substitute ZWNJ with a space.
Closes#38188
Reindex from remote now supports configurable SSL/TLS (node level)
settings. This change adds documentation relating to those settings
Relates: #37527
Backport of: #38486
Now that ML configurations are stored in the .ml-config
index rather than in cluster state there is a possibility
that some users may try to add configurations directly to
the index. Allowing this creates a variety of problems
including possible data exflitration attacks (depending on
how security is set up), so this commit adds warnings
against allowing writes to the .ml-config index other than
via the ML APIs.
Backport of #38509
This commit adds the 7.1 version constant to the 7.x branch.
Co-authored-by: Andy Bristol <andy.bristol@elastic.co>
Co-authored-by: Tim Brooks <tim@uncontended.net>
Co-authored-by: Christoph Büscher <cbuescher@posteo.de>
Co-authored-by: Luca Cavanna <javanna@users.noreply.github.com>
Co-authored-by: markharwood <markharwood@gmail.com>
Co-authored-by: Ioannis Kakavas <ioannis@elastic.co>
Co-authored-by: Nhat Nguyen <nhat.nguyen@elastic.co>
Co-authored-by: David Roberts <dave.roberts@elastic.co>
Co-authored-by: Jason Tedor <jason@tedor.me>
Co-authored-by: Alpar Torok <torokalpar@gmail.com>
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Martijn van Groningen <martijn.v.groningen@gmail.com>
Co-authored-by: Tim Vernum <tim@adjective.org>
Co-authored-by: Albert Zaharovits <albert.zaharovits@gmail.com>
In #38333 and #38350 we moved away from the `discovery.zen` settings namespace
since these settings have an effect even though Zen Discovery itself is being
phased out. This change aligns the documentation and the names of related
classes and methods with the newly-introduced naming conventions.
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
`CreateIndexRequest#source(Map<String, Object>, ... )`, which is used when
deserializing index creation requests, accidentally accepts mappings that are
nested twice under the type key (as described in the bug report #38266).
This in turn causes us to be too lenient in parsing typeless mappings. In
particular, we accept the following index creation request, even though it
should not contain the type key `_doc`:
```
PUT index?include_type_name=false
{
"mappings": {
"_doc": {
"properties": { ... }
}
}
}
```
There is a similar issue for both 'put templates' and 'put mappings' requests
as well.
This PR makes the minimal changes to detect and reject these typed mappings in
requests. It does not address #38266 generally, or attempt a larger refactor
around types in these server-side requests, as I think this should be done at a
later time.
With this change we no longer support pluggable discovery implementations. No
known implementations of `DiscoveryPlugin` actually override this method, so in
practice this should have no effect on the wider world. However, we were using
this rather extensively in tests to provide the `test-zen` discovery type. We
no longer need a separate discovery type for tests as we no longer need to
customise its behaviour.
Relates #38410
Renames the following settings to remove the mention of `zen` in their names:
- `discovery.zen.hosts_provider` -> `discovery.seed_providers`
- `discovery.zen.ping.unicast.concurrent_connects` -> `discovery.seed_resolver.max_concurrent_resolvers`
- `discovery.zen.ping.unicast.hosts.resolve_timeout` -> `discovery.seed_resolver.timeout`
- `discovery.zen.ping.unicast.hosts` -> `discovery.seed_addresses`
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
As mapping types are being removed throughout Elasticsearch, the use of
`_type` in pipeline simulation requests is deprecated. Additionally, the
default `_type` used if one is not supplied has been changed to `_doc` for
consistency with the rest of Elasticsearch.
Coalesces two calls into one in a scroll example so all callouts are at
the end of the line. This is the only sort of callouts that are
supported by asciidoctor and we'd like to start building our docs with
asciidoctor.
At present we don't have any mechanism to stop folks adding more inline
callouts but we ought to be able to have one in a few weeks. For now,
though, removing these inline callouts is a step in the right direction.
Relates to #38335
Reduces the leader and follower check timeout to 3 * 10 = 30s instead of 3 * 30 = 90s, with 30s still
being a very long time for a node to be completely unresponsive.
This adds a dedicated field mapper that supports nanosecond resolution -
at the price of a reduced date range.
When using the date field mapper, the time is stored as milliseconds since the epoch
in a long in lucene. This field mapper stores the time in nanoseconds
since the epoch - which means its range is much smaller, ranging roughly from
1970 to 2262.
Note that aggregations will still be in milliseconds.
However docvalue fields will have full nanosecond resolution
Relates #27330
Hendrik Muhs
Luca Cavanna
Tal Levy
Guilherme Ferreira
Darren Meiss
Costin Leau
Costin Leau
lcawl
Hannes Van De Vreken
David Pilato
debadair
Christoph Büscher
taku333
Alexander Reelsen
Julie Tibshirani
Jake Landis
Jim Ferenczi
Mayya Sharipova
Marios Trivyzas
Tim Vernum
David Roberts
Jason Tedor
Lee Hinman
David Turner
Yogesh Gaikwad
Boaz Leskes
Przemyslaw Gomulka
Gordon Brown
Nik Everett
Yannick Welsch