Expands and clarifies exactly what is and isn't allowed when specifying a
subset of the nodes as targets of a cluster API, and adds missing links to this
from the hot threads and cluster stats API docs.
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Yu <yu.liu003@gmail.com>
This commit adds documentation for configuring Kerberos realm.
Configuring Kerberos realm documentation highlights important
terminology and requirements before creating Kerberos realm.
Most of the documentation is centered around configuration from
Elasticsearch rather than go deep into Kerberos implementation.
Kerberos realm settings are mentioned in the security settings
for Kerberos realm.
* Modified a reference to real time to match the previous line reference of
realtime.
* Modified eg to e.g. as it's an abbreviation for the latin exempli gratia
* Added missing pronoun to `_executing_filters` section.
Currently, if geo context is represented by something other than
geo_point or an object with lat and lon fields, the parsing of it
as a geo context can result in ignoring the context altogether,
returning confusing errors such as number_format_exception or trying
to parse the number specifying as long-encoded hash code. It would also
fail if the geo_point was stored.
This commit makes the mapping parsing more strict and will fail during
mapping update or index creation if the geo context doesn't point to
a geo_point field.
Supersedes #32412Closes#32202
It took me quite a while of online searching and experimenting to realize the function-call asymmetry in the Add versus Remove from a list, like the "tags" list! I realize we cannot give examples for every single thing the user wants to do in Painless, but this is such a common use case (removing a tag from a single doc, or from a set of docs with Update-By-Query) that I believe it ought to be demonstrated immediately after the "add a tag" example. We have an example of removing an entire document field, but not removing one element of a list (a multi-valued field).
Also, a minor grammar fix: I have added an apostrophe to the word "its" in the accompanying text of the example just above.
The docs here incorrectly state that it is okay for a heap dump file to
exist when heap dump path is configured to a fixed filename. This is
incorrect, the JVM will fail to write the heap dump if a heap dump file
already exists at the specified location (see the DumpWriter constructor
DumpWriter::DumpWriter(const char* path) in the JVM source).
Suggestion responses were previously serialized as streamables which
made writing suggesters in plugins with custom suggestion response types
impossible. This commit makes them serialized as named writeables and
provides a facility for registering a reader for suggestion responses
when registering a suggester.
This also makes Suggestion responses abstract, requiring a suggester
implementation to provide its own types. Suggesters which do not need
anything additional to what is defined in Suggest.Suggestion should
provide a minimal subclass.
The existing plugin suggester integration tests are removed and
replaced with an equivalent implementation as an example
plugin.
On some Linux distributions tmpfiles.d cleans files and
directories under /tmp if they haven't been accessed for
10 days.
This can cause problems for ML as ML is currently the only
component that uses the temp directory more than a few
seconds after startup. If you didn't open an ML job for
10 days and then tried to open one then the temp directory
would have been deleted.
This commit prevents the problem occurring in the case of
Elasticsearch being managed by systemd, as systemd private
temp directories are not subject to periodic cleanup (by
default).
Additionally there are now some docs to warn people about
the risk and suggest a manual mitigation for .tar.gz users.
* Make cluster stats response contain cluster UUID
* Updating constructor usage in Monitoring tests
* Adding cluster_uuid field to Cluster Stats API reference doc
* Adding rest api spec test for expecting cluster_uuid in cluster stats response
* Adding missing newline
* Indenting do section properly
* Missed a spot!
* Fixing the test cluster ID
This commit adds a boolean system property, `es.scripting.use_java_time`,
which controls the concrete return type used by doc values within
scripts. The return type of accessing doc values for a date field is
changed to Object, essentially duck typing the type to allow
co-existence during the transition from joda time to java time.
First, some background: we have 15 different methods to get a logger in
Elasticsearch but they can be broken down into three broad categories
based on what information is provided when building the logger.
Just a class like:
```
private static final Logger logger = ESLoggerFactory.getLogger(ActionModule.class);
```
or:
```
protected final Logger logger = Loggers.getLogger(getClass());
```
The class and settings:
```
this.logger = Loggers.getLogger(getClass(), settings);
```
Or more information like:
```
Loggers.getLogger("index.store.deletes", settings, shardId)
```
The goal of the "class and settings" variant is to attach the node name
to the logger. Because we don't always have the settings available, we
often use the "just a class" variant and get loggers without node names
attached. There isn't any real consistency here. Some loggers get the
node name because it is convenient and some do not.
This change makes the node name available to all loggers all the time.
Almost. There are some caveats are testing that I'll get to. But in
*production* code the node name is node available to all loggers. This
means we can stop using the "class and settings" variants to fetch
loggers which was the real goal here, but a pleasant side effect is that
the ndoe name is now consitent on every log line and optional by editing
the logging pattern. This is all powered by setting the node name
statically on a logging formatter very early in initialization.
Now to tests: tests can't set the node name statically because
subclasses of `ESIntegTestCase` run many nodes in the same jvm, even in
the same class loader. Also, lots of tests don't run with a real node so
they don't *have* a node name at all. To support multiple nodes in the
same JVM tests suss out the node name from the thread name which works
surprisingly well and easy to test in a nice way. For those threads
that are not part of an `ESIntegTestCase` node we stick whatever useful
information we can get form the thread name in the place of the node
name. This allows us to keep the logger format consistent.
Rollover should not swap aliases when `is_write_index` is set to `true`.
Instead, both the new and old indices should have the rollover alias,
with the newly created index as the new write index
Updates Rollover to leverage the ability to preserve aliases and swap which is the write index.
Historically, Rollover would swap which index had the designated alias for writing documents against. This required users to keep a separate read-alias that enabled reading against both rolled over and newly created indices, whiles the write-alias was being re-assigned at every rollover.
With the ability for aliases to designate a write index, Rollover can be a bit more flexible with its use of aliases.
Updates include:
- Rollover validates that the target alias has a write index (the index that is being rolled over). This means that the restriction that aliases only point to one index is no longer necessary.
- Rollover explicitly (and atomically) swaps which index is the write-index by explicitly assigning the existing index to have `is_write_index: false` and have the newly created index have its rollover alias as `is_write_index: true`. This is only done when `is_write_index: true` on the write index. Default behavior of removing the alias from the rolled over index stays when `is_write_index` is not explicitly set
Relevant things that are staying the same:
- Rollover is rejected if there exist any templates that match the newly-created index and configure the rollover-alias
- I think this existed to prevent the situation where an alias pointed to two indices for a short while. Although this can technically be relaxed, the specific cases that are safe are really particular and difficult to reason, so leaving the broad restriction sounds good
Stating that the Fuzzy Query generates "all possible" matching terms is misleading, given that the query's default behavior is to generate a maximum of 50 matching terms.
(cherry picked from commit 345a0071a2a41fd7f80ae9ef8a39a2cb4991aedd)
We removed the default_fs store type yet the docs still contain a
reference to them. This commit addresses that by removing this
reference, and changing a reference to this section of the docs to
instead refer to mmapfs.
In the section of the bootstrap checks docs for the maximum map count
check, we refer to max size virtual memory check and explicitly call out
the maximum size virtual memory check as being the previous
point. However, this is not correct as the previous point is currently
the max file size check. It does make sense for these two checks to be
proximate to each other in the docs so this commit reorders the checks
so that the maximum size virtual memory check indeed comes before the
maximum map count check. This makes the sense in the maximum map count
check correct.
Adds a new single-value metrics aggregation that computes the weighted
average of numeric values that are extracted from the aggregated
documents. These values can be extracted from specific numeric
fields in the documents.
When calculating a regular average, each datapoint has an equal "weight"; it
contributes equally to the final value. In contrast, weighted averages
scale each datapoint differently. The amount that each datapoint contributes
to the final value is extracted from the document, or provided by a script.
As a formula, a weighted average is the `∑(value * weight) / ∑(weight)`
A regular average can be thought of as a weighted average where every value has
an implicit weight of `1`.
Closes#15731
The notion of "quality" is an overloaded term in the search ranking evaluation
context. Its usually used to decribe certain levels of "good" vs. "bad" of a
seach result with respect to the users information need. We currently report the
result of the ranking evaluation as `quality_level` which is a bit missleading.
This changes the response parameter name to `metric_score` which fits better.
* INGEST: Extend KV Processor (#31789)
Added more capabilities supported by LS to the KV processor:
* Stripping of brackets and quotes from values (`include_brackets` in corresponding LS filter)
* Adding key prefixes
* Trimming specified chars from keys and values
Refactored the way the filter is configured to avoid conditionals during execution.
Refactored Tests a little to not have to add more redundant getters for new parameters.
Relates #31786
* Add documentation
With this commit we remove the documentation for the setting
`xpack.monitoring.collection.indices.stats.timeout` which has already
been removed in code.
Closes#32133
Relates #32229
Currently the ranking evaluation response contains a 'unknown_docs' section
for each search use case in the evaluation set. It contains document ids for
results in the search hits that currently don't have a quality rating.
This change renames it to `unrated_docs`, which better reflects its purpose.
Resolving wildcards in aliases expression is challenging as we may end
up with no aliases to replace the original expression with, but if we
replace with an empty array that means _all which is quite the opposite.
Now that we support and serialize the original requested aliases,
whenever aliases are replaced we will be able to know what was
initially requested. `MetaData#findAliases` can then be updated to not
return anything in case it gets empty aliases, but the original aliases
were not empty. That means that empty aliases are interpreted as _all
only if they were originally requested that way.
Relates to #31516
We do not support intra-cluster connections on multiple interfaces, but the
documentation indicates that we will in future. In fact there is currently no
plan to support this, so the forward-looking documentation is misleading. This
commit
- removes the misleading sentence
- fixes that a transport profile affects outbound connections, not inbound ones
- tidies up some nearby text
* Add basic support for field aliases in index mappings. (#31287)
* Allow for aliases when fetching stored fields. (#31411)
* Add tests around accessing field aliases in scripts. (#31417)
* Add documentation around field aliases. (#31538)
* Add validation for field alias mappings. (#31518)
* Return both concrete fields and aliases in DocumentFieldMappers#getMapper. (#31671)
* Make sure that field-level security is enforced when using field aliases. (#31807)
* Add more comprehensive tests for field aliases in queries + aggregations. (#31565)
* Remove the deprecated method DocumentFieldMappers#getFieldMapper. (#32148)
Today it is unclear what guarantees are offered by the search preference
feature, and we claim a guarantee that is stronger than what we really offer:
> A custom value will be used to guarantee that the same shards will be used
> for the same custom value.
This commit clarifies this documentation.
Forward-port of #32098 to `master`.
Currently the `keep_types` token filter includes all token types specified using
its `types` parameter. Lucenes TypeTokenFilter also provides a second mode where
instead of keeping the specified tokens (include) they are filtered out
(exclude). This change exposes this option as a new `mode` parameter that can
either take the values `include` (the default, if not specified) or `exclude`.
Closes#29277
Lisa Cawley
Julie Tibshirani
Yu
Yogesh Gaikwad
Tim Ryan
Igor Motov
markwalkom
JeffSaxeVA
Jason Tedor
datosh
markharwood
Andy Bristol
David Roberts
simonzheng
DeDe Morton
Jake Landis
Shaunak Kashyap
Matthias Sieber
Ryan Ernst
Albert Zaharovits
Nik Everett
Colm O'Shea
Tal Levy
w-bonelli
Sandeep Kanabar
mzbeck
Christoph Büscher
Zachary Tong
debadair
Armin Braun
Daniel Mitterdorfer
Luca Cavanna
David Turner
ahmedakef