This commit introduces a new API that manages point-in-times in x-pack
basic. Elasticsearch pit (point in time) is a lightweight view into the
state of the data as it existed when initiated. A search request by
default executes against the most recent point in time. In some cases,
it is preferred to perform multiple search requests using the same point
in time. For example, if refreshes happen between search_after requests,
then the results of those requests might not be consistent as changes
happening between searches are only visible to the more recent point in
time.
A point in time must be opened before being used in search requests. The
`keep_alive` parameter tells Elasticsearch how long it should keep a
point in time around.
```
POST /my_index/_pit?keep_alive=1m
```
The response from the above request includes a `id`, which should be
passed to the `id` of the `pit` parameter of search requests.
```
POST /_search
{
"query": {
"match" : {
"title" : "elasticsearch"
}
},
"pit": {
"id": "46ToAwMDaWR4BXV1aWQxAgZub2RlXzEAAAAAAAAAAAEBYQNpZHkFdXVpZDIrBm5vZGVfMwAAAAAAAAAAKgFjA2lkeQV1dWlkMioGbm9kZV8yAAAAAAAAAAAMAWICBXV1aWQyAAAFdXVpZDEAAQltYXRjaF9hbGw_gAAAAA==",
"keep_alive": "1m"
}
}
```
Point-in-times are automatically closed when the `keep_alive` is
elapsed. However, keeping point-in-times has a cost; hence,
point-in-times should be closed as soon as they are no longer used in
search requests.
```
DELETE /_pit
{
"id" : "46ToAwMDaWR4BXV1aWQxAgZub2RlXzEAAAAAAAAAAAEBYQNpZHkFdXVpZDIrBm5vZGVfMwAAAAAAAAAAKgFjA2lkeQV1dWlkMioGbm9kZV8yAAAAAAAAAAAMAWIBBXV1aWQyAAA="
}
```
#### Notable works in this change:
- Move the search state to the coordinating node: #52741
- Allow searches with a specific reader context: #53989
- Add the ability to acquire readers in IndexShard: #54966
Relates #46523
Relates #26472
Co-authored-by: Jim Ferenczi <jimczi@apache.org>
This commit removes the documentation for some specific Searchable Snapshot REST APIs:
- clear cache
- searchable snapshot stats
- repository stats
These APIs are low-level and are useful to investigate the behavior of snapshot
backed indices but we expect them to be removed in the future or to appear in
a different form.
Previously the "mappings" field of the response from the
find_file_structure endpoint was not a drop-in for the
mappings format of the create index endpoint - the
"properties" layer was missing. The reason for omitting
it initially was that the assumption was that the
find_file_structure endpoint would only ever return very
simple mappings without any nested objects. However,
this will not be true in the future, as we will improve
mappings detection for complex JSON objects. As a first
step it makes sense to move the returned mappings closer
to the standard format.
This is a small building block towards fixing #55616
This pull request adds a new set of APIs that allows tracking the number of requests performed
by the different registered repositories.
In order to avoid losing data, the repository statistics are archived after the repository is closed for
a configurable retention period `repositories.stats.archive.retention_period`. The API exposes the
statistics for the active repositories as well as the modified/closed repositories.
Backport of #60371
There are currently half a dozen ways to add plugins and modules for
test clusters to use. All of them require the calling project to peek
into the plugin or module they want to use to grab its bundlePlugin
task, and then both depend on that task, as well as extract the archive
path the task will produce. This creates cross project dependencies that
are difficult to detect, and if the dependent plugin/module has not yet
been configured, the build will fail because the task does not yet
exist.
This commit makes the plugin and module methods for testclusters
symmetetric, and simply adding a file provider directly, or a project
path that will produce the plugin/module zip. Internally this new
variant uses normal configuration/dependencies across projects to get
the zip artifact. It also has the added benefit of no longer needing the
caller to add to the test task a dependsOn for bundlePlugin task.
We now link to the top-level keyword type family page instead of its individual
subsections. This better fits the page format, where each type name is a link.
This commit enhances the verbose output for the
`_ingest/pipeline/_simulate?verbose` api. Specifically
this adds the following:
* the pipeline processor is now included in the output
* the conditional (if) and result is now included in the output iff it was defined
* a status field is always displayed. the possible values of status are
* `success` - if the processor ran with out errors
* `error` - if the processor ran but threw an error that was not ingored
* `error_ignored` - if the processor ran but threw an error that was ingored
* `skipped` - if the process did not run (currently only possible if the if condition evaluates to false)
* `dropped` - if the the `drop` processor ran and dropped the document
* a `processor_type` field for the type of processor (e.g. set, rename, etc.)
* throw a better error if trying to simulate with a pipeline that does not exist
closes#56004
This commit adds the functionality to allocate newly created indices on nodes in the "hot" tier by
default when they are created.
This does not break existing behavior, as nodes with the `data` role are considered to be part of
the hot tier. Users that separate their deployments by using the `data_hot` (and `data_warm`,
`data_cold`, `data_frozen`) roles will have their data allocated on the hot tier nodes now by
default.
This change is a little more complicated than changing the default value for
`index.routing.allocation.include._tier` from null to "data_hot". Instead, this adds the ability to
have a plugin inject a setting into the builder for a newly created index. This has the benefit of
allowing this setting to be visible as part of the settings when retrieving the index, for example:
```
// Create an index
PUT /eggplant
// Get an index
GET /eggplant?flat_settings
```
Returns the default settings now of:
```json
{
"eggplant" : {
"aliases" : { },
"mappings" : { },
"settings" : {
"index.creation_date" : "1597855465598",
"index.number_of_replicas" : "1",
"index.number_of_shards" : "1",
"index.provided_name" : "eggplant",
"index.routing.allocation.include._tier" : "data_hot",
"index.uuid" : "6ySG78s9RWGystRipoBFCA",
"index.version.created" : "8000099"
}
}
}
```
After the initial setting of this setting, it can be treated like any other index level setting.
This new setting is *not* set on a new index if any of the following is true:
- The index is created with an `index.routing.allocation.include.<anything>` setting
- The index is created with an `index.routing.allocation.exclude.<anything>` setting
- The index is created with an `index.routing.allocation.require.<anything>` setting
- The index is created with a null `index.routing.allocation.include._tier` value
- The index was created from an existing source metadata (shrink, clone, split, etc)
Relates to #60848
* updated shard limit doc
As the documentation was not so clear. I have updated saying this limit includes open indices with unassigned primaries and replicas count towards the limit.
* [DOCS] Incorporated edits.
Co-authored-by: Deb Adair <debadair@elastic.co>
Co-authored-by: gadekishore <50092970+gadekishore@users.noreply.github.com>
Backport to add case insensitive support for regex queries.
Forks a copy of Lucene’s RegexpQuery and RegExp from Lucene master.
This can be removed when 8.7 Lucene is released.
Closes#59235
The building block of the eql response is currently the SearchHit. This
is a problem since it is tied to an actual search, and thus has scoring,
highlighting, shard information and a lot of other things that are not
relevant for EQL.
This becomes a problem when doing sequence queries since the response is
not generated from one search query and thus there are no SearchHits to
speak of.
Emulating one is not just conceptually incorrect but also problematic
since most of the data is missed or made-up.
As such this PR introduces a simple class, Event, that maps nicely to
the terminology while hiding the ES internals (the use of SearchHit or
GetResult/GetResponse depending on the API used).
Fix#59764Fix#59779
Co-authored-by: Igor Motov <igor@motovs.org>
(cherry picked from commit 997376fbe6ef2894038968842f5e0635731ede65)
No-op changes to:
* Move `Search your data` source files into the same directory
* Rename `Search your data` source files based on page ID
* Remove unneeded includes
* Remove the `Request` dir
* [ML] adding docs + hlrc for data frame analysis feature_processors (#61149)
Adds HLRC and some docs for the new feature_processors field in Data frame analytics.
Co-authored-by: Przemysław Witek <przemyslaw.witek@elastic.co>
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Changes:
* Removes narrative around URI searches. These aren't commonly used in production. The `q` param is already covered in the search API docs: https://www.elastic.co/guide/en/elasticsearch/reference/master/search-search.html#search-api-query-params-q
* Adds a common options section that highlights narrative docs for query DSL, aggregations, multi-index search, search fields, pagination, sorting, and async search.
* Adds a `Search shard routing` page. Moves narrative docs for adaptive replica selection, preference, routing , and shard limits to that section.
* Moves search timeout and cancellation content to the `Search your data` page.
* Creates a `Search multiple data streams and indices` page. Moves related narrative docs for multi-target syntax searches and `indices_boost` to that page.
* Removes narrative examples for the `search_type` parameters. Moves documentation for this parameter to the search API docs.