The `elasticsearch-certutil http` command, and security auto-configuration,
generate the HTTP certificate and CA without setting the `keyUsage` extension.
This PR fixes this by setting (by default):
- `keyCertSign` and `cRLSign` for self-signed CAs
- `digitalSignature` and `keyEncipherment` for HTTP certificates and CSRs
These defaults can be overridden when running `elasticsearch-certutil http`
command. The user will be prompted to change them as they wish.
For `elasticsearch-certutil ca`, the default value can be overridden by passing
the `--keysage` option, e.g.
```
elasticsearch-certutil ca --keyusage "digitalSignature,keyCertSign,cRLSign" -pem
```
Fixes#117769
With `geo_point` fields, here is the special case of values that have a syntactically valid format, but the numerical values for `latitude` and `longitude` are out of range.
If `ignore_malformed` is `false`, an exception will be thrown as usual. But if it is `true`, the document will be indexed correctly, by normalizing the latitude and longitude values into the valid range. The special `_ignored` field will not be set. The original source document will remain as before, but indexed values, doc-values and stored fields will all be normalized.
* test
* Revert "test"
This reverts commit 9f4e2adba0.
* Refactor InferenceService to allow passing in chunking settings
* Add chunking config to inference field metadata and store in semantic_text field
* Fix test compilation errors
* Hacking around trying to get ingest to work
* Debugging
* [CI] Auto commit changes from spotless
* POC works and update TODO to fix this
* [CI] Auto commit changes from spotless
* Refactor chunking settings from model settings to field inference request
* A bit of cleanup
* Revert a bunch of changes to try to narrow down what broke CI
* test
* Revert "test"
This reverts commit 9f4e2adba0.
* Fix InferenceFieldMetadataTest
* [CI] Auto commit changes from spotless
* Add chunking settings back in
* Update builder to use new map
* Fix compilation errors after merge
* Debugging tests
* debugging
* Cleanup
* Add yaml test
* Update tests
* Add chunking to test inference service
* Trying to get tests to work
* Shard bulk inference test never specifies chunking settings
* Fix test
* Always process batches in order
* Fix chunking in test inference service and yaml tests
* [CI] Auto commit changes from spotless
* Refactor - remove convenience method with default chunking settings
* Fix ShardBulkInferenceActionFilterTests
* Fix ElasticsearchInternalServiceTests
* Fix SemanticTextFieldMapperTests
* [CI] Auto commit changes from spotless
* Fix test data to fit within bounds
* Add additional yaml test cases
* Playing with xcontent parsing
* A little cleanup
* Update docs/changelog/121041.yaml
* Fix failures introduced by merge
* [CI] Auto commit changes from spotless
* Address PR feedback
* [CI] Auto commit changes from spotless
* Fix predicate in updated test
* Better handling of null/empty ChunkingSettings
* Update parsing settings
* Fix errors post merge
* PR feedback
* [CI] Auto commit changes from spotless
* PR feedback and fix Xcontent parsing for SemanticTextField
* Remove chunking settings check to use what's passed in from sender service
* Fix some tests
* Cleanup
* Test failure whack-a-mole
* Cleanup
* Refactor to handle memory optimized bulk shard inference actions - this is ugly but at least it compiles
* [CI] Auto commit changes from spotless
* Minor cleanup
* A bit more cleanup
* Spotless
* Revert change
* Update chunking setting update logic
* Go back to serializing maps
* Revert change to model settings - source still errors on missing model_id
* Fix updating chunking settings
* Look up model if null
* Fix test
* Work around https://github.com/elastic/elasticsearch/issues/125723 in semantic text field serialization
* Add BWC tests
* Add chunking_settings to docs
* Refactor/rename
* Address minor PR feedback
* Add test case for null update
* PR feedback - adjust refactor of chunked inputs
* Refactored AbstractTestInferenceService to return offsets instead of just Strings
* [CI] Auto commit changes from spotless
* Fix tests where chunk output was of size 3
* Update mappings per PR feedback
* PR Feedback
* Fix problems related to merge
* PR optimization
* Fix test
* Delete extra file
---------
Co-authored-by: elasticsearchmachine <infra-root+elasticsearchmachine@elastic.co>
Originally, `DATE_TRUNC` only supported 1-month and 3-month intervals for months, and 1-year interval for years, while arbitrary intervals were supported for weeks and days. This PR adds support for `DATE_TRUNC` with arbitrary month and year intervals.
Closes#120094
Hides some of the "extra" lines from ESQL's documentation. These lines
are required to make the documentation into nice tests which is
important to make sure the docs don't get out of date. But readers don't
need to see them.
In particular:
* Remove all links (both asciidoc and markdown) from the JSON definition files.
* This required a two phase edit, from asciidoc links to markdown, and then removal of markdown (replace with markdown text). This is because the asciidoc does not have the display text, and because some links were already markdown.
* Split predicates into is_null and is_not_null
* We kept the old combined version because the main docs still use that, so now we have both combined and separate versions, and Kibana can select the version they want.
This primarily splits the old preview:true warning from the newer applies_to approach. Since all of our current applies_to examples are actually just behaviour modifications of current functions, we do not use the official docs {applies_to} syntax. However there is code to make use of that in the case where we have an entirely new function which will appear in a new version.
Co-authored-by: Alexander Spies <alexander.spies@elastic.co>
This allows a `rescore_vector: {oversample: 0}` to indicate bypassing
oversampling and rescoring.
This is useful for:
- Updating a quantized mapping to turn off automatic rescoring
- Bypassing oversampling at query time in an ad-hoc manner if its on by default in the mapping
closes: https://github.com/elastic/elasticsearch/issues/125157
This PR was originally focused on improving support for Kibana docs, in particular the missing operator docs, but it has expanded to cover a bunch of related things:
* Primarily the main work was to improve operators support. ESQL generated docs cover all functions and most operators for which their is a clear operator class and test class. However, some are built-in behaviour and need additional support. This PR adds more generated content for those operators.
* Various specific operators requested by Kibana: Cast & null-predicates, and in particular the addition of examples
* Two functions without examples: mv_append and to_date_nanos
* Many small visual document cleanups (spelling, grammar, capitalization, etc.)
* Initial support for `applies_to` for multi-version differentiation.
This last point requires more work, as it is not yet agreed on just how we want this to look. We'll probably need to do refinements in followup PR. Consider the version in this PR as a first step into how this could look.
Adds a new cache and setting
TransportGetAllocationStatsAction.CACHE_TTL_SETTING
"cluster.routing.allocation.stats.cache.ttl" to configure the max age
for cached NodeAllocationStats on the master. The default
value is currently 1 minute per the suggestion in issue 110716.
Closes#110716
Did a few things:
* Rewrite Kibana docs asciidoc links to be MD links
* Make kibana docs links absolute to planned publication path
* Clarify which operators are generated and which are static
* Removed the trailing .md from kibana docs links
This commit adds a conversion function from numerics (and aggregate
metric doubles) to aggregate metric doubles.
It is most useful when you have multiple indices, where one index uses
aggregate metric double (e.g. a downsampled index) and another uses a
normal numeric type like long or double (e.g. an index prior to
downsampling).
Earlier work on the ES|QL port of docs to V3 introduced an issue in the build.gradle file making it fail with --configuration-cache. This fixes that, as well as one other broken link and removes some unused files.
In addition we bring back partial support for deleting unused files. It is tricky to have full support for this due to the mix of static and generated content, particularly in the operators snippets.
In a few previous PR's we restructured the ES|QL docs to make it possible to generate them dynamically.
This PR just moves a few files around to make the query languages docs easier to work with, and a little more organized like the ES|QL docs.
A bit part of this was setting up redirects to the new locations, so other repo's could correctly link to the elasticsearch docs.
Clarify that it is expected sometimes to see inter-node connections
sending zero-window advertisements as part of the usual TCP backpressure
mechanism.
This adds a new parameter to the quantized index mapping that allows
default oversampling and rescoring to occur.
This doesn't adjust any of the defaults. It allows it to be configured.
When the user provides `rescore_vector: {oversample: <number>}` in the
query it will overwrite it.
For example, here is how to use it with bbq:
```
PUT rescored_bbq
{
"mappings": {
"properties": {
"vector": {
"type": "dense_vector",
"index_options": {
"type": "bbq_hnsw",
"rescore_vector": {"oversample": 3.0}
}
}
}
}
}
```
Then, when querying, it will auto oversample the `k` by `3x` and rerank
with the raw vectors.
```
POST _search
{
"knn": {
"query_vector": [...],
"field": "vector"
}
}
```
Building on the work started in https://github.com/elastic/elasticsearch/pull/123904, we now want to auto-generate most of the small subfiles from the ES|QL functions unit tests.
This work also investigates any remaining discrepancies between the original asciidoc version and the new markdown, and tries to minimize differences so the docs do not look too different.
The kibana json and markdown files are moved to a new location, and the operator docs are a little more generated than before (although still largely manual).
* Inline cast to date
* Update docs/changelog/123460.yaml
* New capability for `::date` casting
* More tests
* Update tests
---------
Co-authored-by: Fang Xing <155562079+fang-xing-esql@users.noreply.github.com>
Resolves#123053
This adds the thread name to the driver sleep profile output.
---------
Co-authored-by: elasticsearchmachine <infra-root+elasticsearchmachine@elastic.co>
