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
* Adds a new auto-interval date histogram
This change adds a new type of histogram aggregation called `auto_date_histogram` where you can specify the target number of buckets you require and it will find an appropriate interval for the returned buckets. The aggregation works by first collecting documents in buckets at second interval, when it has created more than the target number of buckets it merges these buckets into minute interval bucket and continues collecting until it reaches the target number of buckets again. It will keep merging buckets when it exceeds the target until either collection is finished or the highest interval (currently years) is reached. A similar process happens at reduce time.
This aggregation intentionally does not support min_doc_count, offest and extended_bounds to keep the already complex logic from becoming more complex. The aggregation accepts sub-aggregations but will always operate in `breadth_first` mode deferring the computation of sub-aggregations until the final buckets from the shard are known. min_doc_count is effectively hard-coded to zero meaning that we will insert empty buckets where necessary.
Closes#9572
* Adds documentation
* Added sub aggregator test
* Fixes failing docs test
* Brings branch up to date with master changes
* trying to get tests to pass again
* Fixes multiBucketConsumer accounting
* Collects more buckets than needed on shards
This gives us more options at reduce time in terms of how we do the
final merge of the buckeets to produce the final result
* Revert "Collects more buckets than needed on shards"
This reverts commit 993c782d117892af9a3c86a51921cdee630a3ac5.
* Adds ability to merge within a rounding
* Fixes nonn-timezone doc test failure
* Fix time zone tests
* iterates on tests
* Adds test case and documentation changes
Added some notes in the documentation about the intervals that can bbe
returned.
Also added a test case that utilises the merging of conseecutive buckets
* Fixes performance bug
The bug meant that getAppropriate rounding look a huge amount of time
if the range of the data was large but also sparsely populated. In
these situations the rounding would be very low so iterating through
the rounding values from the min key to the max keey look a long time
(~120 seconds in one test).
The solution is to add a rough estimate first which chooses the
rounding based just on the long values of the min and max keeys alone
but selects the rounding one lower than the one it thinks is
appropriate so the accurate method can choose the final rounding taking
into account the fact that intervals are not always fixed length.
Thee commit also adds more tests
* Changes to only do complex reduction on final reduce
* merge latest with master
* correct tests and add a new test case for 10k buckets
* refactor to perform bucket number check in innerBuild
* correctly derive bucket setting, update tests to increase bucket threshold
* fix checkstyle
* address code review comments
* add documentation for default buckets
* fix typo
Because this is a static method on a public API, and one that we encourage
plugin authors to use, the method with the typo is deprecated in 6.x
rather than just renamed.
With this commit we introduce a new circuit-breaking strategy to the parent
circuit breaker. Contrary to the current implementation which only accounts for
memory reserved via child circuit breakers, the new strategy measures real heap
memory usage at the time of reservation. This allows us to be much more
aggressive with the circuit breaker limit so we bump it to 95% by default. The
new strategy is turned on by default and can be controlled with the new cluster
setting `indices.breaker.total.userealmemory`.
Note that we turn it off for all integration tests with an internal test cluster
because it leads to spurious test failures which are of no value (we cannot
fully control heap memory usage in tests). All REST tests, however, will make
use of the real memory circuit breaker.
Relates #31767
* Added lenient flag for synonym-tokenfilter.
Relates to #30968
* added docs for synonym-graph-tokenfilter
-- Also made lenient final
-- changed from !lenient to lenient == false
* Changes after review (1)
-- Renamed to ElasticsearchSynonymParser
-- Added explanation for ElasticsearchSynonymParser::add method
-- Changed ElasticsearchSynonymParser::logger instance to static
* Added lenient option for WordnetSynonymParser
-- also added more documentation
* Added additional documentation
* Improved documentation
This commit removes the link to an oss-MSI; there is only one version of the MSI, which includes X-Pack.
(cherry picked from commit d2e5db8a806ec8a25162f79db5209aceed4f30f7)
For historical reasons SQL restricts GROUP BY to only one field.
This commit removes the restriction and improves the test suite with
multi group by tests.
Close#31793
There have been at least two PRs trying to fix the spelling of "lazi" because it
isn't very clear from the example that the english analyzer will stem each token
in the example. This adds a short description of the analysis process to make
this clearer.
Relates to #31797
Only the shards that receive the bulk request will be affected by
`refresh`. Imagine a `_bulk?refresh=wait_for` request with three
documents in it that happen to be routed to different shards in an index
with five shards. The request will only wait for those three shards to
refresh. The other two shards of that make up the index do not
participate in the `_bulk` request at all.
Relates to #31819
Removes support for storing scripts without the usual json around the
script. So You can no longer do:
```
POST _scripts/<templatename>
{
"query": {
"match": {
"title": "{{query_string}}"
}
}
}
```
and must instead do:
```
POST _scripts/<templatename>
{
"script": {
"lang": "mustache",
"source": {
"query": {
"match": {
"title": "{{query_string}}"
}
}
}
}
}
```
This improves error reporting when you attempt to store a script but don't
quite get the syntax right. Before, there was a good chance that we'd
think of it as a "raw" template and just store it. Now we won't do that.
Nice.
Ryan Ernst
Albert Zaharovits
Nik Everett
Colm O'Shea
Tal Levy
w-bonelli
Jason Tedor
Sandeep Kanabar
mzbeck
Lisa Cawley
Christoph Büscher
Zachary Tong
debadair
Armin Braun
Daniel Mitterdorfer
Luca Cavanna
Julie Tibshirani
David Turner
ahmedakef
DeDe Morton
Paul Sanwald
Colin Goodheart-Smithe
Mayya Sharipova
Clinton Gormley
Alan Woodward
Jimi Ford
Sohaib Iftikhar
Jim Ferenczi
Russ Cam
Costin Leau
Piotr Prądzyński