The failed_category_count statistic records the number of times
categorization wanted to create a new category but couldn't
because the job had reached its model_memory_limit.
Backport of #55716
Makes the following changes to the `stemmer` token filter docs:
* Adds detailed analyze example
* Rewrites parameter definitions
* Adds custom analyzer example
* Adds a `language` value for the `estonian` stemmer
* Reorders the `language` values to show recommended algorithms first,
followed by other values alphabetically
Adds conceptual documentation for stemming, including:
* An overview of why stemming is helpful in search
* Algorithmic vs. dictionary stemming
* Token filters used to control stemming, such as `stemmer_override`, `keyword_marker`, and `conditional`
The example looks the same as in the previous section although it should use the
"fuzziness" parameter. This seems to be okay on 6.8 and master and was probably
only forgotten to port to 7.x branches.
This adds a validation to VSParserHelper to ensure that a field or
script or both are specified by the user. This is technically
required today already, but throws an exception much deeper
in the agg framework and has a very unintuitive error for the user
(as well as eating more resources instead of failing early)
Adds a important admonition to the EQL syntax page noting that
the equal (`==`) operator should not be used to match `text` field
values.
Relates to #52709 and #53020
Documents several parameters missing from the bulk API's response body
docs. Also moves several response-related chunks of text to the response
body section.
Relates to #55237
The ML info endpoint returns the max_model_memory_limit setting
if one is configured. However, it is still possible to create
a job that cannot run anywhere in the current cluster because
no node in the cluster has enough memory to accommodate it.
This change adds an extra piece of information,
limits.effective_max_model_memory_limit, to the ML info
response that returns the biggest model memory limit that could
be run in the current cluster assuming no other jobs were
running.
The idea is that the ML UI will be able to warn users who try to
create jobs with higher model memory limits that their jobs will
not be able to start unless they add a bigger ML node to their
cluster.
Backport of #55529
Adds a "node" field to the response from the following endpoints:
1. Open anomaly detection job
2. Start datafeed
3. Start data frame analytics job
If the job or datafeed is assigned to a node immediately then
this field will return the ID of that node.
In the case where a job or datafeed is opened or started lazily
the node field will contain an empty string. Clients that want
to test whether a job or datafeed was opened or started lazily
can therefore check for this.
Backport of #55473
Adds an example for bulk API requests that include failures.
Also documents guidance on use the `filter_path` parameter
to narrow the bulk API response for errors.
Closes#55237
Removes the 'Testing' chapter from the Elasticsearch Reference guide.
This chapter was originally written for so that users using the Java HLRC client could
use the same test classes when testing Elasticsearch in their own applications.
However, this is no longer the case or recommended.
Closes#55257.
This paves the data layer way so that exceptionally large models are partitioned across multiple documents.
This change means that nodes before 7.8.0 will not be able to use trained inference models created on nodes on or after 7.8.0.
I chose the definition document limit to be 100. This *SHOULD* be plenty for any large model. One of the largest models that I have created so far had the following stats:
~314MB of inflated JSON, ~66MB when compressed, ~177MB of heap.
With the chunking sizes of `16 * 1024 * 1024` its compressed string could be partitioned to 5 documents.
Supporting models 20 times this size (compressed) seems adequate for now.
This commit adds a new querystring parameter on the following APIs:
- Index
- Update
- Bulk
- Create Index
- Rollover
These APIs now support a `?prefer_v2_templates=true|false` flag. This flag changes the preference
creation to use either V2 index templates or V1 templates. This flag defaults to `false` and will be
changed to `true` for 8.0+ in subsequent work.
Additionally, setting this flag internally sets the `index.prefer_v2_templates` index-level setting.
This setting is used so that actions that automatically create a new index (things like rollover
initiated by ILM) will inherit the preference from the original index. This setting is dynamic so
that a transition from v1 to v2 templates can occur for long-running indices grouped by an alias
performing periodic rollover.
This also adds support for sending this parameter to the High Level Rest Client.
Relates to #53101
We believe there's no longer a need to be able to disable basic-license
features completely using the "xpack.*.enabled" settings. If users don't
want to use those features, they simply don't need to use them. Having
such features always available lets us build more complex features that
assume basic-license features are present.
This commit deprecates settings of the form "xpack.*.enabled" for
basic-license features, excluding "security", which is a special case.
It also removes deprecated settings from integration tests and unit
tests where they're not directly relevant; e.g. monitoring and ILM are
no longer disabled in many integration tests.
PR #51260 moved usage counts about mapping field types and analysis to
the `_cluster/stats` API.
This documents those stats in the response section of the cluster stats
API docs.
Implement the use of scalar functions inside aggregate functions.
This allows for complex expressions inside aggregations, with or without
GROUBY as well as with or without a HAVING clause. e.g.:
```
SELECT MAX(CASE WHEN a IS NULL then -1 ELSE abs(a * 10) + 1 END) AS max, b
FROM test
GROUP BY b
HAVING MAX(CASE WHEN a IS NULL then -1 ELSE abs(a * 10) + 1 END) > 5
```
Scalar functions are still not allowed for `KURTOSIS` and `SKEWNESS` as
this is currently not implemented on the ElasticSearch side.
Fixes: #29980Fixes: #36865Fixes: #37271
(cherry picked from commit 506d1beea7abb2b45de793bba2e349090a78f2f9)
The main changes are:
1. Throw an error when updating `include_in_parent` or `include_in_root` attribute of nested field dynamically by the PUT mapping API.
2. Add a test for the change.
Closes#53792
Co-authored-by: bellengao <gbl_long@163.com>
* [DOCS] Reformat `flatten_graph` token filter
Makes the following changes to the `flatten_graph` token filter docs:
* Rewrites description and adds Lucene link
* Adds detailed analyze example
* Adds analyzer example
* Add the change log for 7.7
Add the change log for 7.7
* Update rel. notes to latest state (BC5)
Update the release notes to current state (i.e. BC5).
* Update docs/reference/release-notes/7.7.asciidoc
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
Upgrade to lucene 8.5.1 release that contains a bug fix for a bug that might introduce index corruption when deleting data from an index that was previously shrunk.
* [ML] adding prediction_field_type to inference config (#55128)
Data frame analytics dynamically determines the classification field type. This field type then dictates the encoded JSON that is written to Elasticsearch.
Inference needs to know about this field type so that it may provide the EXACT SAME predicted values as analytics.
Here is added a new field `prediction_field_type` which indicates the desired type. Options are: `string` (DEFAULT), `number`, `boolean` (where close_to(1.0) == true, false otherwise).
Analytics provides the default `prediction_field_type` when the model is created from the process.
Updates the supported upgrade path table in [Upgrade Elasticsearch][0]
to include a new row for maintenance releases. For example, this row
covers upgrading from 7.6.0 to 7.6.2.
The new table row only displays for releases greater than n.x.0. For
example, the new row will display for the 7.7.1 release but not the
7.7.0 release.
[0]: https://www.elastic.co/guide/en/elasticsearch/reference/master/setup-upgrade.html
Provides basic repository-level stats that will allow us to get some insight into how many
requests are actually being made by the underlying SDK. Currently only tracks GET and LIST
calls for S3 repositories. Most of the code is unfortunately boiler plate to add a new endpoint
that will help us better understand some of the low-level dynamics of searchable snapshots.
With this change, when a task is canceled, the task manager will cancel
not only its direct child tasks but all also its descendant tasks.
Closes#50990
Adds support for filters to T-Test aggregation. The filters can be used to
select populations based on some criteria and use values from the same or
different fields.
Closes#53692
This change converts the module and plugin parameters
for testClusters to be lazy. Meaning that the values
are not resolved until they are actually used. This
removes the requirement to use project.afterEvaluate to
be able to resolve the bundle artifact.
Note - this does not completely remove the need for afterEvaluate
since it is still needed for the custom resource extension.
The secure_settings_password was never taken into consideration in
the ReloadSecureSettings API. This commit fixes that and adds
necessary REST layer testing. Doing so, it also:
- Allows TestClusters to have a password protected keystore
so that it can be set for tests.
- Adds a parameter to the run task so that elastisearch can
be run with a password protected keystore from source.
The usage of local parameter for GetFieldMappingRequest has been removed from the underlying transport action since v2.0.
This PR deprecates the parameter from rest layer. It will be removed in next major version.
Changes boilerplate sentence of "If using a field as the argument, this
parameter only supports..." to "...this parameter supports only...".
The latter is a bit more clear and readable.
Some of these characters are special to Asciidoctor and they ruin the
rendering on this page. Instead, we use a macro to passthrough these
characters without Asciidoctor applying any subtitutions to them. This
commit then addresses some rendering issues in the thread pool docs.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
We found some problems during the test.
Data: 200Million docs, 1 shard, 0 replica
hits | avg | sum | value_count |
----------- | ------- | ------- | ----------- |
20,000 | .038s | .033s | .063s |
200,000 | .127s | .125s | .334s |
2,000,000 | .789s | .729s | 3.176s |
20,000,000 | 4.200s | 3.239s | 22.787s |
200,000,000 | 21.000s | 22.000s | 154.917s |
The performance of `avg`, `sum` and other is very close when performing
statistics, but the performance of `value_count` has always been poor,
even not on an order of magnitude. Based on some common-sense knowledge,
we think that `value_count` and sum are similar operations, and the time
consumed should be the same. Therefore, we have discussed the agg
of `value_count`.
The principle of counting in es is to traverse the field of each
document. If the field is an ordinary value, the count value is
increased by 1. If it is an array type, the count value is increased
by n. However, the problem lies in traversing each document and taking
out the field, which changes from disk to an object in the Java
language. We summarize its current problems with Elasticsearch as:
- Number cast to string overhead, and GC problems caused by a large
number of strings
- After the number type is converted to string, sorting and other
unnecessary operations are performed
Here is the proof of type conversion overhead.
```
// Java long to string source code, getChars is very time-consuming.
public static String toString(long i) {
int size = stringSize(i);
if (COMPACT_STRINGS) {
byte[] buf = new byte[size];
getChars(i, size, buf);
return new String(buf, LATIN1);
} else {
byte[] buf = new byte[size * 2];
StringUTF16.getChars(i, size, buf);
return new String(buf, UTF16);
}
}
```
test type | average | min | max | sum
------------ | ------- | ---- | ----------- | -------
double->long | 32.2ns | 28ns | 0.024ms | 3.22s
long->double | 31.9ns | 28ns | 0.036ms | 3.19s
long->String | 163.8ns | 93ns | 1921 ms | 16.3s
particularly serious.
Our optimization code is actually very simple. It is to manage different
types separately, instead of uniformly converting to string unified
processing. We added type identification in ValueCountAggregator, and
made special treatment for number and geopoint types to cancel their
type conversion. Because the string type is reduced and the string
constant is reduced, the improvement effect is very obvious.
hits | avg | sum | value_count | value_count | value_count | value_count | value_count | value_count |
| | | double | double | keyword | keyword | geo_point | geo_point |
| | | before | after | before | after | before | after |
----------- | ------- | ------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |
20,000 | 38s | .033s | .063s | .026s | .030s | .030s | .038s | .015s |
200,000 | 127s | .125s | .334s | .078s | .116s | .099s | .278s | .031s |
2,000,000 | 789s | .729s | 3.176s | .439s | .348s | .386s | 3.365s | .178s |
20,000,000 | 4.200s | 3.239s | 22.787s | 2.700s | 2.500s | 2.600s | 25.192s | 1.278s |
200,000,000 | 21.000s | 22.000s | 154.917s | 18.990s | 19.000s | 20.000s | 168.971s | 9.093s |
- The results are more in line with common sense. `value_count` is about
the same as `avg`, `sum`, etc., or even lower than these. Previously,
`value_count` was much larger than avg and sum, and it was not even an
order of magnitude when the amount of data was large.
- When calculating numeric types such as `double` and `long`, the
performance is improved by about 8 to 9 times; when calculating the
`geo_point` type, the performance is improved by 18 to 20 times.
The use of available processors, the terminology, and the settings
around it have evolved over time. This commit cleans up some places in
the codes and in the docs to adjust to the current terminology.
Creates a reusable template for token filter reference documentation.
Contributors can make a copy of this template and customize it when
documenting new token filters.
Implement DATETIME_PARSE(<datetime_str>, <pattern_str>) function
which allows to parse a datetime string according to the specified
pattern into a datetime object. The patterns allowed are those of
java.time.format.DateTimeFormatter.
Relates to #53714
(cherry picked from commit 3febcd8f3cdf9fdda4faf01f23a5f139f38b57e0)
This commit includes a number of changes to reduce overall build
configuration time. These optimizations include:
- Removing the usage of the 'nebula.info-scm' plugin. This plugin
leverages jgit to load read various pieces of VCS information. This
is mostly overkill and we have our own minimal implementation for
determining the current commit id.
- Removing unnecessary build dependencies such as perforce and jgit
now that we don't need them. This reduces our classpath considerably.
- Expanding the usage lazy task creation, particularly in our
distribution projects. The archives and packages projects create
lots of tasks with very complex configuration. Avoiding the creation
of these tasks at configuration time gives us a nice boost.
Implement DATETIME_FORMAT(<date/datetime/time>, ) function
which allows for formatting a timestamp to the specified format. The
patterns allowed as those of java.time.format.DateTimeFormatter.
Related to #53714
(cherry picked from commit 72be0b54a9299e87e785469cdc9aafac2a48c046)
In 7.x, an index template will fail to apply if it contains a `_default_`
mapping. Several users have expressed confusion over the fact that loading the
template doesn't show any default mappings. This docs change clarifies that in
order to see all mappings in the template, you must pass `include_type_name`.
Adds a detailed example to the "Avoid scripts" section of the "Tune
for search speed" docs. The detail outlines how a script used to
transform indexed data can be moved to ingest.
The update also removes an outdated reference to supported script
languages.
This commit adds a new point field that is able to index arbitrary pair of values (x/y)
in the cartesian space. It only supports filtering using shape queries at the moment.
This is a backport of #54803 for 7.x.
This pull request cherry picks the squashed commit from #54803 with the additional commits:
6f50c92 which adjusts master code to 7.x
a114549 to mute a failing ILM test (#54818)
48cbca1 and 50186b2 that cleans up and fixes the previous test
aae12bb that adds a missing feature flag (#54861)
6f330e3 that adds missing serialization bits (#54864)
bf72c02 that adjust the version in YAML tests
a51955f that adds some plumbing for the transport client used in integration tests
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Andrei Dan <andrei.dan@elastic.co>
Adds t_test metric aggregation that can perform paired and unpaired two-sample
t-tests. In this PR support for filters in unpaired is still missing. It will
be added in a follow-up PR.
Relates to #53692
Today when canceling a task we broadcast ban/unban requests to all nodes
in the cluster. This strategy does not scale well for hierarchical
cancellation. With this change, we will track outstanding child requests
and broadcast the cancellation to only nodes that have outstanding child
tasks. This change also prevents a parent task from sending child
requests once it got canceled.
Relates #50990
Supersedes #51157
Co-authored-by: Igor Motov <igor@motovs.org>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Looking into #50237 I realized that two of the examples given in the
documentation around date math rounding for range queries on date fields using
`gt` and `lt` is slightly off by a nanosecond. This PR changes this to the
bounds that are currently parsed using these parameters.
* Document VarcharLimit and EarlyExecution params
Add the documentation for the newly added VarcharLimit and
EarlyExecution DSN attributes.
* Remove obsolete VersionChecking param
This param had been removed already along the #53082 work.
* Update docs/reference/sql/endpoints/odbc/configuration.asciidoc
fix typo
Co-Authored-By: Stuart Cam <stuart@codebrain.co.uk>
* Update docs/reference/sql/endpoints/odbc/configuration.asciidoc
fix typo
Co-Authored-By: Stuart Cam <stuart@codebrain.co.uk>
(cherry picked from commit f38761631a12b38f7f075635f7ac61dc96656cd7)
István Zoltán Szabó
James Rodewig
David Roberts
Christoph Büscher
Zachary Tong
Lisa Cawley
James Baiera
Paul Sanwald
Benjamin Trent
David Turner
Lee Hinman
jmceniery
Ben Skelker
William Brafford
Andrei Dan
Adrien Grand
markharwood
Marios Trivyzas
Julie Tibshirani
Bogdan Pintea
Ignacio Vera
Jake Landis
Yang Wang
Igor Motov
Yannick Welsch
Nhat Nguyen
Peter Dyson
Vishal Patel
Ioannis Kakavas
Jason Tedor
Nik Everett
oneoneonepig
Mark Vieira
Théophile Helleboid - chtitux
Tanguy Leroux
Bogdan Pintea