This PR implements value fetching for the following field types:
* `text` phrase and prefix subfields
* `search_as_you_type`, plus its subfields
* `token_count`, which is implemented by fetching doc values
Supporting these types helps ensure that retrieving all fields through
`"fields": ["*"]` doesn't fail because of unsupported value fetchers.
As a result of this, we can remove a chunk of code from TypeParsers as well. Tests
for search/index mode analyzers have moved into their own file. This commit also
rationalises the serialization checks for parameters into a single SerializerCheck
interface that takes the values includeDefaults, isConfigured and the value
itself.
Relates to #62988
We currently pass a SearchContext around to share configuration among
FetchSubPhases. With the introduction of runtime fields, it would be useful
to start storing some state on this context to be shared between different
subphases (for example, stored fields or search lookups can be loaded lazily
but referred to by many different subphases). However, SearchContext is a
very large and unwieldy class, and adding more methods or state here feels
like a bridge too far.
This commit introduces a new FetchContext class that exposes only those
methods on SearchContext that are required for fetch phases. This reduces
the API surface area for fetch phases considerably, and should give us some
leeway to add further state.
This implements the `fields` API in `_search` for runtime fields using
doc values. Most of that implementation is stolen from the
`docvalue_fields` fetch sub-phase, just moved into the same API that the
`fields` API uses. At this point the `docvalue_fields` fetch phase looks
like a special case of the `fields` API.
While I was at it I moved the "which doc values sub-implementation
should I use for fetching?" question from a bunch of `instanceof`s to a
method on `LeafFieldData` so we can be much more flexible with what is
returned and we're not forced to extend certain classes just to make the
fetch phase happy.
Relates to #59332
This adds two extra bits of info to the profiler:
1. Count of the number of different types of collectors. This lets us figure
out if we're using the optimization for segment ordinals. It adds a few
more similar counters just for good measure.
2. Profiles the `getLeafCollector` and `postCollection` methods. These are
non-trivial for some aggregations, like cardinality.
This PR adds support for the 'fields' option in the following places:
* Anytime `inner_hits` is used, for both fetching nested/ child docs and field collapsing
* The `top_hits` aggregation
Addresses #61949.
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>
Add test for item-level error when no write index defined for an alia…
Co-authored-by: Jake Landis <jake.landis@elastic.co>
Co-authored-by: bellengao <gbl_long@163.com>
The `global_ordinals` implementation of `terms` had a bug when
`min_doc_count: 0` that'd cause sub-aggregations to have array index out
of bounds exceptions. Ooops. My fault. This fixes the bug by assigning
ordinals to those buckets.
Closes#62084
We have a couple of yaml tests that index documents under a 'test' type, while they could omit it. We do want to still test that specifying the type is still allowed in 7.x but we already have specific tests for that, and other tests should use the endpoint that don't require specifying a type.
Previously we didn't retain the requested fields when performing a shallow copy
of the search source. This meant that when a search was rewritten, we could drop
the requested fields and fail to return them in the response.
* Some progress on failing runtime fields tests (bring #61098 to 7.x)
This breaks apart the a test for the `terms` aggregation into one that
work for runtime fields and one that doesn't.
Breaks up an integration test into one that runtime fields can run and
one that runtime fields have to skip. This is because runtime fields
don't have global ords and we assert things *about* global ords in the
test we have to skip.
Allows nanosecond resolution in search_after (#60328)
This fixes `search_after` to properly parse string formatted dates that
have nanosecond resolution.
Closes#52424
Adds a full list of supported aggregations to the node info API. This list
will be used in transform tests and telemetry mapping tests that will be added
as follow-up PRs.
Fixes#59774
This feature adds a new `fields` parameter to the search request, which
consults both the document `_source` and the mappings to fetch fields in a
consistent way. The PR merges the `field-retrieval` feature branch.
Addresses #49028 and #55363.
Transport connections between nodes remain in place until one or other
node shuts down or the connection is disrupted by a flaky network.
Today it is very difficult to demonstrate that transient failures and
cluster instability are caused by the network even though this is often
the case. In particular, transport connections open and close without
logging anything, even at `DEBUG` level, making it very hard to quantify
the scale of the problem or to correlate the networking problems with
external events.
This commit adds the missing `DEBUG`-level logging when transport
connections open and close, and also tracks the total number of
transport connections a node has opened as a measure of the stability of
the underlying network.
In #54716 I removed pipeline aggregators from the aggregation result
tree and caused us to read them from the request. This saves a bunch of
round trip bytes, which is neat. But there was a bug in the backwards
compatibility logic. You see, we still have to give the pipeline
aggregations to nodes older than 7.8 over the wire because that is how
they know what pipelines to run. They have the pipelines in the request
but they don't read them. They use the ones in the response tree.
Anyway, we had a bug where we were never sending pipelines defined two
levels down. So while you are upgrading the pipeline wouldn't run.
Sometimes. If the data node of the "first" result was post-7.8 and the
coordinating node was pre-7.8.
This fixes the bug.
This PR removes the expand_wildcards and forbid_closed_indices parameters from the Data
Streams Stats REST endpoint. These options are required for broadcast requests, but are not
needed for anything in terms of resolving data streams. Instead, we just set a default set of
IndicesOptions on the transport request.
* Adding new `require_alias` option to indexing requests (#58917)
This commit adds the `require_alias` flag to requests that create new documents.
This flag, when `true` prevents the request from automatically creating an index. Instead, the destination of the request MUST be an alias.
When the flag is not set, or `false`, the behavior defaults to the `action.auto_create_index` settings.
This is useful when an alias is required instead of a concrete index.
closes https://github.com/elastic/elasticsearch/issues/55267
Adds a hard_bounds parameter to explicitly limit the buckets that a histogram
can generate. This is especially useful in case of open ended ranges that can
produce a very large number of buckets.
This API reports on statistics important for data streams, including the number of data
streams, the number of backing indices for those streams, the disk usage for each data
stream, and the maximum timestamp for each data stream
Currently we combine coordinating and primary bytes into a single bucket
for indexing pressure stats. This makes sense for rejection logic.
However, for metrics it would be useful to separate them.
This makes the data_stream timestamp field specification optional when
defining a composable template.
When there isn't one specified it will default to `@timestamp`.
(cherry picked from commit 5609353c5d164e15a636c22019c9c17fa98aac30)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This adds a low precendece mapping for the `@timestamp` field with
type `date`.
This will aid with the bootstrapping of data streams as a timestamp
mapping can be omitted when nanos precision is not needed.
(cherry picked from commit 4e72f43d62edfe52a934367ce9809b5efbcdb531)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
We have recently added internal metrics to monitor the amount of
indexing occurring on a node. These metrics introduce back pressure to
indexing when memory utilization is too high. This commit exposes these
stats through the node stats API.
Backport of #59293 to 7.x branch.
* Create new data-stream xpack module.
* Move TimestampFieldMapper to the new module,
this results in storing a composable index template
with data stream definition only to work with default
distribution. This way data streams can only be used
with default distribution, since a data stream can
currently only be created if a matching composable index
template exists with a data stream definition.
* Renamed `_timestamp` meta field mapper
to `_data_stream_timestamp` meta field mapper.
* Add logic to put composable index template api
to fail if `_data_stream_timestamp` meta field mapper
isn't registered. So that a more understandable
error is returned when attempting to store a template
with data stream definition via the oss distribution.
In a follow up the data stream transport and
rest actions can be moved to the xpack data-stream module.
Backport of #59076 to 7.x branch.
The commit makes the following changes:
* The timestamp field of a data stream definition in a composable
index template can only be set to '@timestamp'.
* Removed custom data stream timestamp field validation and reuse the validation from `TimestampFieldMapper` and
instead only check that the _timestamp field mapping has been defined on a backing index of a data stream.
* Moved code that injects _timestamp meta field mapping from `MetadataCreateIndexService#applyCreateIndexRequestWithV2Template58956(...)` method
to `MetadataIndexTemplateService#collectMappings(...)` method.
* Fixed a bug (#58956) that cases timestamp field validation to be performed
for each template and instead of the final mappings that is created.
* only apply _timestamp meta field if index is created as part of a data stream or data stream rollover,
this fixes a docs test, where a regular index creation matches (logs-*) with a template with a data stream definition.
Relates to #58642
Relates to #53100Closes#58956Closes#58583
* GET data stream API returns additional information (#59128)
This adds the data stream's index template, the configured ILM policy
(if any) and the health status of the data stream to the GET _data_stream
response.
Restoring a data stream from a snapshot could install a data stream that
doesn't match any composable templates. This also makes the `template`
field in the `GET _data_stream` response optional.
(cherry picked from commit 0d9c98a82353b088c782b6a04c44844e66137054)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This request:
```
POST /_search
{
"aggs": {
"a": {
"adjacency_matrix": {
"filters": {
"1": {
"terms": { "t": { "index": "lookup", "id": "1", "path": "t" } }
}
}
}
}
}
}
```
Would fail with a 500 error and a message like:
```
{
"error": {
"root_cause": [
{
"type": "illegal_state_exception",
"reason":"async actions are left after rewrite"
}
]
}
}
```
This fixes that by moving the query rewrite phase from a synchronous
call on the data nodes into the standard aggregation rewrite phase which
can properly handle the asynchronous actions.
Julie Tibshirani
Alan Woodward
Igor Motov
Nik Everett
Nhat Nguyen
Jake Landis
Luca Cavanna
Dan Hermann
Ryan Ernst
Russ Cam
István Zoltán Szabó
James Rodewig
Tim Brooks
David Turner
James Baiera
Lee Hinman
Benjamin Trent
Andrei Dan
Martijn van Groningen
James Rodewig