Adds support for the `offset` parameter to the `date_histogram` source
of composite aggs. The `offset` parameter is supported by the normal
`date_histogram` aggregation and is useful for folks that need to
measure things from, say, 6am one day to 6am the next day.
This is implemented by creating a new `Rounding` that knows how to
handle offsets and delegates to other rounding implementations. That
implementation doesn't fully implement the `Rounding` contract, namely
`nextRoundingValue`. That method isn't used by composite aggs so I can't
be sure that any implementation that I add will be correct. I propose to
leave it throwing `UnsupportedOperationException` until I need it.
Closes#48757
If a pipeline referenced by a transform does not exist, we should not allow the transform to be created.
We do allow the pipeline existence check to be skipped with defer_validations, but if the pipeline still does not exist on `_start`, the pipeline will fail to start.
relates: #50135
Adds a 'text analysis overview' page to the analysis topic docs.
The goals of this page are:
* Concisely summarize the analysis process while avoiding in-depth concepts, tutorials, or API examples
* Explain why analysis is important, largely through highlighting problems with full-text searches missing analysis
* Highlight how analysis can be used to improve search results
The Analysis docs mention including a default analyzer in the index settings. However, no example snippet is included.
This adds an example snippet that users can easily copy and adjust.
This PR adds per-field metadata that can be set in the mappings and is later
returned by the field capabilities API. This metadata is completely opaque to
Elasticsearch but may be used by tools that index data in Elasticsearch to
communicate metadata about fields with tools that then search this data. A
typical example that has been requested in the past is the ability to attach
a unit to a numeric field.
In order to not bloat the cluster state, Elasticsearch requires that this
metadata be small:
- keys can't be longer than 20 chars,
- values can only be numbers or strings of no more than 50 chars - no inner
arrays or objects,
- the metadata can't have more than 5 keys in total.
Given that metadata is opaque to Elasticsearch, field capabilities don't try to
do anything smart when merging metadata about multiple indices, the union of
all field metadatas is returned.
Here is how the meta might look like in mappings:
```json
{
"properties": {
"latency": {
"type": "long",
"meta": {
"unit": "ms"
}
}
}
}
```
And then in the field capabilities response:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms" ]
}
}
}
}
```
When there are no conflicts, values are arrays of size 1, but when there are
conflicts, Elasticsearch includes all unique values in this array, without
giving ways to know which index has which metadata value:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms", "ns" ]
}
}
}
}
```
Closes#33267
#43007 restructured the SQL REST API docs so they display across several pages.
This updates up a reference that assumes a single page in the "Paginating through a large response" section. It also reformats a tip for the Kibana console.
Closes#50688
The docs/reference/redirects.asciidoc file stores a list of relocated or
deleted pages for the Elasticsearch Reference documentation.
This prunes several older redirects that are no longer needed.
If `geo_point fields` are multi-valued, using `geo_centroid` as a
sub-agg to `geohash_grid` could result in centroids outside of bucket
boundaries.
This adds a related warning to the geo_centroid agg docs.
Adds a `force` parameter to the delete data frame analytics
request. When `force` is `true`, the action force-stops the
jobs and then proceeds to the deletion. This can be used in
order to delete a non-stopped job with a single request.
Closes#48124
Backport of #50553
This intervals source will return terms that are similar to an input term, up to
an edit distance defined by fuzziness, similar to FuzzyQuery.
Closes#49595
* Docs: Refine note about `after_key`
I was curious about composite aggregations, specifically I wanted to
know how to write a composite aggregation that had all of its buckets
filtered out so you *had* to use the `after_key`. Then I saw that we've
declared composite aggregations not to work with pipelines in #44180. So
I'm not sure you *can* do that any more. Which makes the note about
`after_key` inaccurate. This rejiggers that section of the docs a little
so it is more obvious that you send the `after_key` back to us. And so
it is more obvious that you should *only* use the `after_key` that we
give you rather than try to work it out for yourself.
* Apply suggestions from code review
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
The cat nodes API performs a `ClusterStateAction` then a `NodesInfoAction`.
Today it accepts the `?local` parameter and passes this to the
`ClusterStateAction` but this parameter has no effect on the `NodesInfoAction`.
This is surprising, because `GET _cat/nodes?local` looks like it might be a
completely local call but in fact it still depends on every node in the
cluster.
This commit deprecates the `?local` parameter on this API so that it can be
removed in 8.0.
Relates #50088
PR #44238 changed several links related to the Elasticsearch search request body API. This updates several places still using outdated links or anchors.
This will ultimately let us remove some redirects related to those link changes.
The docs/reference/redirects.asciidoc file stores a list of relocated or
deleted pages for the Elasticsearch Reference documentation.
This prunes several older redirects that are no longer needed and
don't require work to fix broken links in other repositories.
Percentile aggregations are non-deterministic. A percentile aggregation
can produce different results even when using the same data.
Based on [this discuss post][0], the non-deterministic property stems
from processes in Lucene that can affect the order in which docs are
provided to the aggregation.
This adds a warning stating that the aggregation is non-deterministic
and what that means.
[0]: https://discuss.elastic.co/t/different-results-for-same-query/111757
File scripts were removed in 6.0 with #24627.
This removes an outdated file scripts reference from the conditional clauses section of the search templates docs.
* Add ILM histore store index (#50287)
* Add ILM histore store index
This commit adds an ILM history store that tracks the lifecycle
execution state as an index progresses through its ILM policy. ILM
history documents store output similar to what the ILM explain API
returns.
An example document with ALL fields (not all documents will have all
fields) would look like:
```json
{
"@timestamp": 1203012389,
"policy": "my-ilm-policy",
"index": "index-2019.1.1-000023",
"index_age":123120,
"success": true,
"state": {
"phase": "warm",
"action": "allocate",
"step": "ERROR",
"failed_step": "update-settings",
"is_auto-retryable_error": true,
"creation_date": 12389012039,
"phase_time": 12908389120,
"action_time": 1283901209,
"step_time": 123904107140,
"phase_definition": "{\"policy\":\"ilm-history-ilm-policy\",\"phase_definition\":{\"min_age\":\"0ms\",\"actions\":{\"rollover\":{\"max_size\":\"50gb\",\"max_age\":\"30d\"}}},\"version\":1,\"modified_date_in_millis\":1576517253463}",
"step_info": "{... etc step info here as json ...}"
},
"error_details": "java.lang.RuntimeException: etc\n\tcaused by:etc etc etc full stacktrace"
}
```
These documents go into the `ilm-history-1-00000N` index to provide an
audit trail of the operations ILM has performed.
This history storage is enabled by default but can be disabled by setting
`index.lifecycle.history_index_enabled` to `false.`
Resolves#49180
* Make ILMHistoryStore.putAsync truly async (#50403)
This moves the `putAsync` method in `ILMHistoryStore` never to block.
Previously due to the way that the `BulkProcessor` works, it was possible
for `BulkProcessor#add` to block executing a bulk request. This was bad
as we may be adding things to the history store in cluster state update
threads.
This also moves the index creation to be done prior to the bulk request
execution, rather than being checked every time an operation was added
to the queue. This lessens the chance of the index being created, then
deleted (by some external force), and then recreated via a bulk indexing
request.
Resolves#50353
Co-authored-by: Daniel Huang <danielhuang@tencent.com>
This is a spinoff of #48130 that generalizes the proposal to allow early termination with the composite aggregation when leading sources match a prefix or the entire index sort specification.
In such case the composite aggregation can use the index sort natural order to early terminate the collection when it reaches a composite key that is greater than the bottom of the queue.
The optimization is also applicable when a query other than match_all is provided. However the optimization is deactivated for sources that match the index sort in the following cases:
* Multi-valued source, in such case early termination is not possible.
* missing_bucket is set to true
* Update remote cluster stats to support simple mode (#49961)
Remote cluster stats API currently only returns useful information if
the strategy in use is the SNIFF mode. This PR modifies the API to
provide relevant information if the user is in the SIMPLE mode. This
information is the configured addresses, max socket connections, and
open socket connections.
* Send hostname in SNI header in simple remote mode (#50247)
Currently an intermediate proxy must route conncctions to the
appropriate remote cluster when using simple mode. This commit offers
a additional mechanism for the proxy to route the connections by
including the hostname in the TLS SNI header.
* Rename the remote connection mode simple to proxy (#50291)
This commit renames the simple connection mode to the proxy connection
mode for remote cluster connections. In order to do this, the mode specific
settings which we namespaced by their mode (ex: sniff.seed and
proxy.addresses) have been reverted.
* Modify proxy mode to support a single address (#50391)
Currently, the remote proxy connection mode uses a list setting for the
proxy address. This commit modifies this so that the setting is
proxy_address and only supports a single remote proxy address.
The freeze index API docs state that frozen indices are blocked for
write operations.
While this implies frozen indices are read-only, it does not explicitly
use the term "read-only", which is found in other docs, such as the
force merge docs.
This adds the "ready-only" term to the freeze index API docs as well
as other clarification.
The `filter` rule is not allowed on the top-level of the query, so removing it
from the list of allowed rules. Where it can be nested inside other rules, those
rules already mention it.
Docker bypasses the Uncomplicated Firewall (UFW) on Linux by editing the `iptables` config directly, which leads to the exposure of port 9200, even if you blocked it via UFW.
This adds a warning along with work-arounds to the docs.
Signed-off-by: Kovah <mail@kovah.de>
Users often mistakenly map numeric IDs to numeric datatypes. However,
this is often slow for the `term` and other term-level queries.
The "Tune for search speed" docs includes advice for mapping numeric
IDs to `keyword` fields. However, this tip is not included in the
`numeric` or `keyword` field datatype doc pages.
This rewords the tip in the "Tune for search speed" docs, relocates it
to the `numeric` field docs, and reuses it using tagged regions.
For 7.x and earlier branches, `_cat/repositories` API requests require a
repository name.
This removes an erroneous request example without a repository name
added with a8e0275.
Lucene 8.4 added support for "CONTAINS", therefore in this commit those
changes are integrated in Elasticsearch. This commit contains as well a
bug fix when querying with a geometry collection with "DISJOINT" relation.
* [DOCS] Document JVM node stats
Documents the `jvm` parameters returned by the `_nodes/stats` API.
Co-Authored-By: James Baiera <james.baiera@gmail.com>
The example snippets in the percentile rank agg docs use a test dataset
named `latency`, which is generated from docs/gradle.build.
At some point the dataset and example snippets were updated, but the
text surrounding the snippets was not. This means the text and the
example snippets shown no longer match up.
This corrects that by changing the snippets using /TESTRESPONSE magic comments.
* CSV ingest processor (#49509)
This change adds new ingest processor that breaks line from CSV file into separate fields.
By default it conforms to RFC 4180 but can be tweaked.
Closes#49113
As we discussed in #36371, interval notation is confusing to some users. This makes the intention clearer by just explaining inclusivity and exclusivity in the docs.
Removes a reference to shadow replicas from the cat shards API docs
and a comment in cluster/routing/UnassignedInfo.java.
Shadow replicas were removed with #23906.
This adds a new `randomize_seed` for regression and classification.
When not explicitly set, the seed is randomly generated. One can
reuse the seed in a similar job in order to ensure the same docs
are picked for training.
Backport of #49990
The current snippets in the synced flush docs can cause conflicts with
other background syncs, such as the global checkpoint sync or retention
lease sync, in the docs tests.
This skips tests for those snippets to avoid conflicts.
In the shape query docs, the index mapping snippet uses the "geometry"
shape field mapping. However, the doc index snippet uses the "location"
property.
This changes the "location" property to "geometry". It also adds a
comment containing the search result snippet. This should prevent
similar issues in the future.
This commit changes the recommended repository file for rpm based
systems to be disabled by default. This is a safer practice so upgrades
of the system do no accidentally upgrade elasticsearch itself.
closes#30660
* Allow list of IPs in geoip ingest processor
This change lets you use array of IPs in addition to string in geoip processor source field.
It will set array containing geoip data for each element in source, unless first_only parameter
option is enabled, then only first found will be returned.
Closes#46193
Adds documentation for the `minimum_should_match` parameter to the `bool` query docs. Includes docs for the default values:
- `1` if the `bool` query includes at least one `should` clause and no `must` or `filter` clauses
- `0` otherwise
* Adds a title abbreviation
* Updates the description and adds a Lucene link
* Reformats the parameters section
* Adds analyze, custom analyzer, and custom filter snippets
Relates to #44726.
The documentation contained a small error, as bytes and duration was not
properly converted to a number and thus remained a string.
The documentation is now also properly tested by providing a full blown
simulate pipeline example.
* Recommend Metricbeat for 7.x
* Fix typo in link to configuring-metricbeat
* [DOCS] Fixes build error and some terminology
* Add to local exporter page per review feedback
* Creates a prerequisites section in the cross-cluster replication (CCR)
overview.
* Adds concise definitions for local and remote cluster in a CCR context.
* Documents that the ES version of the local cluster must be the same
or a newer compatible version as the remote cluster.
The "Restore any snapshots as required" step is a trap: it's somewhere between
tricky and impossible to restore multiple clusters into a single one.
Also add a note about configuring discovery during a rolling upgrade to
proscribe any rare cases where you might accidentally autobootstrap during the
upgrade.
When the enrich processor appends enrich data to an incoming document,
it adds a `target_field` to contain the enrich data.
This `target_field` contains both the `match_field` AND `enrich_fields`
specified in the enrich policy.
Previously, this was reflected in the documented example but not
explicitly stated. This adds several explicit statements to the docs.
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
This rewrites long sort as a `DistanceFeatureQuery`, which can
efficiently skip non-competitive blocks and segments of documents.
Depending on the dataset, the speedups can be 2 - 10 times.
The optimization can be disabled with setting the system property
`es.search.rewrite_sort` to `false`.
Optimization is skipped when an index has 50% or more data with
the same value.
Optimization is done through:
1. Rewriting sort as `DistanceFeatureQuery` which can
efficiently skip non-competitive blocks and segments of documents.
2. Sorting segments according to the primary numeric sort field(#44021)
This allows to skip non-competitive segments.
3. Using collector manager.
When we optimize sort, we sort segments by their min/max value.
As a collector expects to have segments in order,
we can not use a single collector for sorted segments.
We use collectorManager, where for every segment a dedicated collector
will be created.
4. Using Lucene's shared TopFieldCollector manager
This collector manager is able to exchange minimum competitive
score between collectors, which allows us to efficiently skip
the whole segments that don't contain competitive scores.
5. When index is force merged to a single segment, #48533 interleaving
old and new segments allows for this optimization as well,
as blocks with non-competitive docs can be skipped.
Backport for #48804
Co-authored-by: Jim Ferenczi <jim.ferenczi@elastic.co>
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
This adds a `_source` setting under the `source` setting of a data
frame analytics config. The new `_source` is reusing the structure
of a `FetchSourceContext` like `analyzed_fields` does. Specifying
includes and excludes for source allows selecting which fields
will get reindexed and will be available in the destination index.
Closes#49531
Backport of #49690
- Improves HTTP client hostname verification failure messages
- Adds "DiagnosticTrustManager" which logs certificate information
when trust cannot be established (hostname failure, CA path failure,
etc)
These diagnostic messages are designed so that many common TLS
problems can be diagnosed based solely (or primarily) on the
elasticsearch logs.
These diagnostics can be disabled by setting
xpack.security.ssl.diagnose.trust: false
Backport of: #48911
Add a couple of pointers for the user to check the
overall cluster health and the version of ES running
on every node.
Fixes: #49670
(cherry picked from commit 8ca11f54cd839f41632c556601e94da67e91a3d1)
This change adds a dynamic cluster setting named `indices.id_field_data.enabled`.
When set to `false` any attempt to load the fielddata for the `_id` field will fail
with an exception. The default value in this change is set to `false` in order to prevent
fielddata usage on this field for future versions but it will be set to `true` when backporting
to 7x. When the setting is set to true (manually or by default in 7x) the loading will also issue
a deprecation warning since we want to disallow fielddata entirely when https://github.com/elastic/elasticsearch/issues/26472
is implemented.
Closes#43599
This commit clarifies how to override JAVA_HOME from the bundled jdk for
deb and rpm installs, which each have their own file that is sourced
upon service startup.
closes#49068
Fix reference about the uid:gid that Elasticsearch runs as inside
the Docker container and add a packaging test to ensure that bind
mounting a data dir with a random uid and gid:0 works as
expected.
Backport of #49529Closes#47929
Backport of #49076
In case an exception occurs inside a pipeline processor,
the pipeline stack is kept around as header in the exception.
Then in the on_failure processor the id of the pipeline the
exception occurred is made accessible via the `on_failure_pipeline`
ingest metadata.
Closes#44920
Add TRUNC as alias to already implemented TRUNCATE
numeric function which is the flavour supported by
Oracle and PostgreSQL.
Relates to: #41195
(cherry picked from commit f2aa7f0779bc5cce40cc0c1f5e5cf1a5bb7d84f0)
The default is set to Integer.MAX_VALUE but is reported to be `0` in the docs.
With the current implementation a value of 0 would mean all terms are filtered
out, which is the opposite of "unbounded".
Closes#49520
The breaking changes cover the removal of TLSv1 from the default
protocols, but assume that users who need to retain TLSv1 support will
understand all the places where they may used it.
This has proven not to be true, as it is easy to be unaware that (for
example) an LDAP server is using TLSv1.
This change explicitly lists all the places where TLS protocols may
need to be configured.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
Co-Authored-By: Pius <pius@elastic.co>
* Adds a title abbreviation
* Relocates the older name deprecation warning
* Updates the description and adds a Lucene link
* Adds a note to explain payloads and how to store them
* Adds analyze and custom analyzer snippets
* Adds a 'Return stored payloads' example
The categorization job wizard in the ML UI will use this
information when showing the effect of the chosen categorization
analyzer on a sample of input.
This commit replaces the _estimate_memory_usage API with
a new API, the _explain API.
The API consolidates information that is useful before
creating a data frame analytics job.
It includes:
- memory estimation
- field selection explanation
Memory estimation is moved here from what was previously
calculated in the _estimate_memory_usage API.
Field selection is a new feature that explains to the user
whether each available field was selected to be included or
not in the analysis. In the case it was not included, it also
explains the reason why.
Backport of #49455
This commit enhances the required pipeline functionality by changing it
so that default/request pipelines can also be executed, but the required
pipeline is always executed last. This gives users the flexibility to
execute their own indexing pipelines, but also ensure that any required
pipelines are also executed. Since such pipelines are executed last, we
change the name of required pipelines to final pipelines.
Reformats the edge n-gram and n-gram token filter docs. Changes include:
* Adds title abbreviations
* Updates the descriptions and adds Lucene links
* Reformats parameter definitions
* Adds analyze and custom analyzer snippets
* Adds notes explaining differences between the edge n-gram and n-gram
filters
Additional changes:
* Switches titles to use "n-gram" throughout.
* Fixes a typo in the edge n-gram tokenizer docs
* Adds an explicit anchor for the `index.max_ngram_diff` setting
All document scores are positive 32-bit floating point numbers. However, this
wasn't previously documented.
This can result in surprising behavior, such as precision loss, for users when
customizing scores using the function score query.
This commit updates an existing admonition in the function score query docs to
document the 32-bits precision limit. It also updates the search API reference
docs to note that `_score` is a 32-bit float.
Currently the `token_chars` setting in both `edgeNGram` and `ngram` tokenizers
only allows for a list of predefined character classes, which might not fit
every use case. For example, including underscore "_" in a token would currently
require the `punctuation` class which comes with a lot of other characters.
This change adds an additional "custom" option to the `token_chars` setting,
which requires an additional `custom_token_chars` setting to be present and
which will be interpreted as a set of characters to inlcude into a token.
Closes#25894
Previously, DATEDIFF for minutes and hours was doing a
rounding calculation using all the time fields (secs, msecs/micros/nanos).
Instead it should first truncate the 2 dates to the respective field (mins or hours)
zeroing out all the more detailed time fields and then make the subtraction.
(cherry picked from commit 124cd18e20429e19d52fd8dc383827ea5132d428)
The `string` type (with option `analyzed`) has been replaced by `text` after `6.0`,
also the `annonated_text` field do not support doc values and should be mentioned.
Backport of #47573.
Closes#43603. Allow environment variables to be passed to ES in a Docker
container via a file, by setting an environment variable with the `_FILE`
suffix that points to the file with the intended value of the env var.
Backport of #47468 to 7.x
This PR adds a new metric aggregation called string_stats that operates on string terms of a document and returns the following:
min_length: The length of the shortest term
max_length: The length of the longest term
avg_length: The average length of all terms
distribution: The probability distribution of all characters appearing in all terms
entropy: The total Shannon entropy value calculated for all terms
This aggregation has been implemented as an analytics plugin.
Makes a few changes to better align the update license API docs with
the [API reference template][0].
Changes:
* Replaces POST with PUT in several snippet examples.
While both are valid, PUT is a bit more RESTful.
* Removes leading slashes (/) from all snippets.
* Relocates and retitles the 'Authorization' section to 'Prerequisites'.
* Replaces explicit titles with the appropriate API reference template
attributes.
* Replaces unneeded `[float]` tags with explicit anchors.
Closes#35341
[0]: https://github.com/elastic/docs/blob/master/shared/api-ref-ex.asciidoc
The `edge_ngram` tokenizer limits tokens to the `max_gram` character
length. Autocomplete searches for terms longer than this limit return
no results.
To prevent this, you can use the `truncate` token filter to truncate
tokens to the `max_gram` character length. However, this could return irrelevant results.
This commit adds some advisory text to make users aware of this limitation and outline the tradeoffs for each approach.
Closes#48956.
This PR makes the following two fixes around updating flattened fields:
* Make sure that the new value for ignore_above is immediately taken into
affect. Previously we recorded the new value but did not use it when parsing
documents.
* Allow depth_limit to be updated dynamically. It seems plausible that a user
might want to tweak this setting as they encounter more data.
* [ML] Add new geo_results.(actual_point|typical_point) fields for `lat_long` results (#47050)
[ML] Add new geo_results.(actual_point|typical_point) fields for `lat_long` results (#47050)
Related PR: https://github.com/elastic/ml-cpp/pull/809
* adjusting bwc version
The realtime GET API currently has erratic performance in case where a document is accessed
that has just been indexed but not refreshed yet, as the implementation will currently force an
internal refresh in that case. Refreshing can be an expensive operation, and also will block the
thread that executes the GET operation, blocking other GETs to be processed. In case of
frequent access of recently indexed documents, this can lead to a refresh storm and terrible
GET performance.
While older versions of Elasticsearch (2.x and older) did not trigger refreshes and instead opted
to read from the translog in case of realtime GET API or update API, this was removed in 5.0
(#20102) to avoid inconsistencies between values that were returned from the translog and
those returned by the index. This was partially reverted in 6.3 (#29264) to allow _update and
upsert to read from the translog again as it was easier to guarantee consistency for these, and
also brought back more predictable performance characteristics of this API. Calls to the realtime
GET API, however, would still always do a refresh if necessary to return consistent results. This
means that users that were calling realtime GET APIs to coordinate updates on client side
(realtime GET + CAS for conditional index of updated doc) would still see very erratic
performance.
This PR (together with #48707) resolves the inconsistencies between reading from translog and
index. In particular it fixes the inconsistencies that happen when requesting stored fields, which
were not available when reading from translog. In case where stored fields are requested, this
PR will reparse the _source from the translog and derive the stored fields to be returned. With
this, it changes the realtime GET API to allow reading from the translog again, avoid refresh
storms and blocking the GET threadpool, and provide overall much better and predictable
performance for this API.
The first example of splitting rules for the `word_delimiter` token filter was spread across two bullet points. This makes it look like they are two separate splitting rules.
CCR follower stats can return information for persistent tasks that are in the process of being cleaned up. This is problematic for tests where CCR follower indices have been deleted, but their persistent follower task is only cleaned up asynchronously afterwards. If one of the following tests then accesses the follower stats, it might still get the stats for that follower task.
In addition, some tests were not cleaning up their auto-follow patterns, leaving orphaned patterns behind. Other tests cleaned up their auto-follow patterns. As always the same name was used, it just depended on the test execution order whether this led to a failure or not. This commit fixes the offensive tests, and will also automatically remove auto-follow-patterns at the end of tests, like we do for many other features.
Closes #48700
* Add ingest info to Cluster Stats (#48485)
This commit enhances the ClusterStatsNodes response to include global
processor usage stats on a per-processor basis.
example output:
```
...
"processor_stats": {
"gsub": {
"count": 0,
"failed": 0
"current": 0
"time_in_millis": 0
},
"script": {
"count": 0,
"failed": 0
"current": 0,
"time_in_millis": 0
}
}
...
```
The purpose for this enhancement is to make it easier to collect stats on how specific processors are being used across the cluster beyond the current per-node usage statistics that currently exist in node stats.
Closes#46146.
* fix BWC of ingest stats
The introduction of processor types into IngestStats had a bug.
It was set to `null` and set as the key to the map. This would
throw a NPE. This commit resolves this by setting all the processor
types from previous versions that are not serializing it out to
`_NOT_AVAILABLE`.
This adds the infrastructure to be able to retry the execution of retryable
steps and makes the `check-rollover-ready` retryable as an initial step to
make the rollover action more resilient to transient errors.
(cherry picked from commit 454020ac8acb147eae97acb4ccd6fb470d1e5f48)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
The docs specify that cluster.remote.connect disables cross-cluster
search. This is correct, but not fully accurate as it disables any
functionality that relies on remote cluster connections: cross-cluster
search, remote data feeds, and cross-cluster replication. This commit
updates the docs to reflect this.
For the user agent ingest processor, custom regex files must end
with the `.yml` file extension.
This corrects the docs which said the `.yaml` extension was required.
Previously the functions accepted a doc values reference, whereas they now
accept the name of the vector field. Here's an example of how a vector function
was called before and after the change.
```
Before: cosineSimilarity(params.query_vector, doc['field'])
After: cosineSimilarity(params.query_vector, 'field')
```
This seems more intuitive, since we don't allow direct access to vector doc
values and the the meaning of `doc['field']` is unclear.
The PR makes the following changes (broken into distinct commits):
* Add new function signatures of the form `function(params.query_vector,
'field')` and deprecates the old ones. Because Painless doesn't allow two
methods with the same name and number of arguments, we allow a generic `Object`
to be passed in to the function and decide on the behavior through an
`instanceof` check.
* Refactor the class bindings so that the document field is passed to the
constructor instead of the instance method. This allows us to avoid retrieving
the vector doc values on every function invocation, which gives a tiny speed-up
in benchmarks.
Note that this PR adds new signatures for the sparse vector functions too, even
though sparse vectors are deprecated. It seemed simplest to understand (for both
us and users) to keep everything symmetric between dense and sparse vectors.
PR #25543 removed the `_uid` field in favor of the `_id` field,
including for use in slicing.
This removes an outdated reference to `_uid` in our reindex docs.
junmuz
James Rodewig
debadair
Matt Braymer-Hayes
Lisa Cawley
Nik Everett
Benjamin Trent
István Zoltán Szabó
blueSky1825821
Adrien Grand
Christoph Büscher
arkel-s
Nhat Nguyen
Orhan Toy
Dimitris Athanasiou
Alan Woodward
Lee Hinman
David Turner
Oleg
Gilad Gal
Igor Motov
Jack Conradson
Florian Kelbert
Jim Ferenczi
Tim Brooks
Stuart Tettemer
Kevin Woblick
Ignacio Vera
Henning Andersen
Przemko Robakowski
Wilder Pereira
Patryk Krawaczyński
Peter Johnson
Artur Carvalho
Ryan Ernst
Hendrik Muhs
Alexander Reelsen
Colin Goodheart-Smithe
cachedout
Paul Sanwald
Andrei Stefan
Henning Andersen
Mayya Sharipova
Tugberk Ugurlu
Tim Vernum
Marios Trivyzas
Martijn van Groningen
Xiang Dai
bellengao
Yannick Welsch
glerb
Dimitrios Liappis
Kelly Campbell
David Roberts
Jason Tedor
weizijun
Bogdan Pintea
Mathew Davis
Julie Tibshirani
gpaimla
Antoine Garcia
Rory Hunter
Christos Soulios
SylvainJuge
Patrick Maynard
Arne Welzel
Julian Simioni
Tanguy Leroux
pulysak
Tal Levy
Brandon Morelli
Andrei Dan
Dan Hermann