This commit adds the ability to package multiple plugins in a single zip.
The zip file for a meta plugin must contains the following structure:
|____elasticsearch/
| |____ <plugin1> <-- The plugin files for plugin1 (the content of the elastisearch directory)
| |____ <plugin2> <-- The plugin files for plugin2
| |____ meta-plugin-descriptor.properties <-- example contents below
The meta plugin properties descriptor is mandatory and must contain the following properties:
description: simple summary of the meta plugin.
name: the meta plugin name
The installation process installs each plugin in a sub-folder inside the meta plugin directory.
The example above would create the following structure in the plugins directory:
|_____ plugins
| |____ <name_of_the_meta_plugin>
| | |____ meta-plugin-descriptor.properties
| | |____ <plugin1>
| | |____ <plugin2>
If the sub plugins contain a config or a bin directory, they are copied in a sub folder inside the meta plugin config/bin directory.
|_____ config
| |____ <name_of_the_meta_plugin>
| | |____ <plugin1>
| | |____ <plugin2>
|_____ bin
| |____ <name_of_the_meta_plugin>
| | |____ <plugin1>
| | |____ <plugin2>
The sub-plugins are loaded at startup like normal plugins with the same restrictions; they have a separate class loader and a sub-plugin
cannot have the same name than another plugin (or a sub-plugin inside another meta plugin).
It is also not possible to remove a sub-plugin inside a meta plugin, only full removal of the meta plugin is allowed.
Closes#27316
* Only bind loopback addresses when binding to local
Today when binding to local (the default) we bind to any address that is
a loopback address, or any address on an interface that declares itself
as a loopback interface. Yet, not all addresses on loopback interfaces
are loopback addresses. This arises on macOS where there is a link-local
address assigned to the loopback interface (fe80::1%lo0) and in Docker
services where virtual IPs of the service are assigned to the loopback
interface (docker/libnetwork#1877). These situations cause problems:
- because we do not handle the scope ID of a link-local address, we end
up bound to an address for which publishing of that address does not
allow that address to be reached (since we drop the scope)
- the virtual IPs in the Docker situation are not loopback addresses,
they are not link-local addresses, so we end up bound to interfaces
that cause the bootstrap checks to be enforced even though the
instance is only bound to local
We address this by only binding to actual loopback addresses, and skip
binding to any address on a loopback interface that is not a loopback
address. This lets us simplify some code where in the bootstrap checks
we were skipping link-local addresses, and in writing the ports file
where we had to skip link-local addresses because again the formatting
of them does not allow them to be connected to by another node (to be
clear, they could be connected to via the scope-qualified address, but
that information is not written out).
Relates #28029
- Introduce index level settings to control the maximum number of terms
that can be used in a Terms Query
- Throw an error if a request exceeds this max number
Closes#18829
* Limit the analyzed text for highlighting
- Introduce index level settings to control the max number of character
to be analyzed for highlighting
- Throw an error if analysis is required on a larger text
Closes#27517
Allowing `_doc` as a type will enable users to make the transition to 7.0
smoother since the index APIs will be `PUT index/_doc/id` and `POST index/_doc`.
This also moves most of the documentation to `_doc` as a type name.
Closes#27750Closes#27751
This commit clarifies that we recommended using supported LTS versions
of Java as opposed to supporting a minimum version and any version above
that.
Relates #27795
This commit reorganizes some of the content in the configuring
Elasticsearch section of the docs. The changes are:
- move JVM options out of system configuration into configuring
Elasticsearch
- move JVM options to its own page of the docs
- move configuring the heap to important Elasticsearch settings
- move configuring the heap to its own page of the docs
- move all important settings to individual pages in the docs
- remove bootstrap.memory_lock from important settings, this is covered
in the swap section of system configuration
Relates #27755
#27409 deprecated the incorrectly-spelled `levenstein` in favour of `levenshtein`.
#27526 deprecated the inconsistent `jarowinkler` in favour of `jaro_winkler`.
These changes were merged into 6.2, and this change removes them entirely in 7.0.
JDK 9 has removed JVM options that were valid in JDK 8 (e.g., GC logging
flags) and replaced them with new flags that are not available in JDK
8. This means that a single JVM options file can no longer apply to JDK
8 and JDK 9, complicating development, complicating our packaging story,
and complicating operations. This commit extends the JVM options syntax
to specify the range of versions the option applies to. If the running
JVM matches the range of versions, the flag will be used to start the
JVM otherwise the flag will be ignored.
We implement this parser in Java for simplicity, and with this we start
our first step towards a Java launcher.
Relates #27675
This commit adds a new dynamic cluster setting named `search.max_buckets` that can be used to limit the number of buckets created per shard or by the reduce phase. Each multi bucket aggregator can consume buckets during the final build of the aggregation at the shard level or during the reduce phase (final or not) in the coordinating node. When an aggregator consumes a bucket, a global count for the request is incremented and if this number is greater than the limit an exception is thrown (TooManyBuckets exception).
This change adds the ability for multi bucket aggregator to "consume" buckets in the global limit, the default is 10,000. It's an opt-in consumer so each multi-bucket aggregator must explicitly call the consumer when a bucket is added in the response.
Closes#27452#26012
For too long we have been groping around in the dark when faced with GC
issues because we rarely have GC logs at our disposal. This commit
enables GC logging by default out of the box.
Relates #27610
#27611 broke the docs tests because $node_name in the URL doesn't (#27616)seem to be replaced.
Changing this to a * to match all nodes seems to fix the test
* Add accounting circuit breaker and track segment memory usage
This commit adds a new circuit breaker "accounting" that is used for tracking
the memory usage of non-request-tied memory users. It also adds tracking for the
amount of Lucene segment memory used by a shard as a user of the new circuit
breaker.
The Lucene segment memory is updated when the shard refreshes, and removed when
the shard relocates away from a node or is deleted. It should also be noted that
all tracking for segment memory uses `addWithoutBreaking` so as not to fail the
shard if a limit is reached.
The `accounting` breaker has a default limit of 100% and will contribute to the
parent breaker limit.
Resolves#27044
Add an index level setting `index.analyze.max_token_count` to control
the number of generated tokens in the _analyze endpoint.
Defaults to 10000.
Throw an error if the number of generated tokens exceeds this limit.
Closes#27038
When these docs were moved they should have been moved to the system
configuration docs. This commit does that, and also fixes a missing
heading that broke the docs build.
Previously the bootstrap check for max number of threads was increased
from 2048 to 4096 yet the docs were never adjusted for this change. This
commit addresses this so the docs are in-line with the limit enforced in
the bootstrap check.
Relates #27511
The main highlight of this new snapshot is that it introduces the opportunity
for queries to opt out of caching. In case a query opts out of caching, not only
will it never be cached, but also no compound query that wraps it will be
cached.
Also include _type and _id for parent/child hits inside inner hits.
In the case of top_hits aggregation the nested search hits are
directly returned and are not grouped by a root or parent document, so
it is important to include the _id and _index attributes in order to know
to what documents these nested search hits belong to.
Closes#27053
* Caps
* Fix awkward wording that took multiple passes to parse
* Floating point _number_
* Something more descriptive about the `scaled_float` scaling factor.
Running with the all permission java.security.AllPermission granted is
equivalent to disabling the security manager. This commit adds a
bootstrap check that forbids running with this permission granted.
Relates #27548
Today we refresh automatically in the background by default very second.
This default behavior has a significant impact on indexing performance
if the refreshes are not needed.
This change introduces a notion of a shard being `search idle` which a
shard transitions to after (default) `30s` without any access to an
external searcher. Once a shard is search idle all scheduled refreshes
will be skipped unless there are any refresh listeners registered.
If a search happens on a `serach idle` shard the search request _park_
on a refresh listener and will be executed once the next scheduled refresh
occurs. This will also turn the shard into the `non-idle` state immediately.
This behavior is only applied if there is no explicit refresh interval set.
The `delimited_payload_filter` is renamed to `delimited_payload`, the old name is
deprecated and should be replaced by `delimited_payload`.
Closes#21978
Today we require users to prepare their indices for split operations.
Yet, we can do this automatically when an index is created which would
make the split feature a much more appealing option since it doesn't have
any 3rd party prerequisites anymore.
This change automatically sets the number of routinng shards such that
an index is guaranteed to be able to split once into twice as many shards.
The number of routing shards is scaled towards the default shard limit per index
such that indices with a smaller amount of shards can be split more often than
larger ones. For instance an index with 1 or 2 shards can be split 10x
(until it approaches 1024 shards) while an index created with 128 shards can only
be split 3x by a factor of 2. Please note this is just a default value and users
can still prepare their indices with `index.number_of_routing_shards` for custom
splitting.
NOTE: this change has an impact on the document distribution since we are changing
the hash space. Documents are still uniformly distributed across all shards but since
we are artificually changing the number of buckets in the consistent hashign space
document might be hashed into different shards compared to previous versions.
This is a 7.0 only change.
Add an index level setting `index.mapping.nested_objects.limit` to control
the number of nested json objects that can be in a single document
across all fields. Defaults to 10000.
Throw an error if the number of created nested documents exceed this
limit during the parsing of a document.
Closes#26962
Today Cross Cluster Search requires at least one node in each remote cluster to be up once the cross cluster search is run. Otherwise the whole search request fails despite some of the data (either local and/or remote) is available. This happens when performing the _search/shards calls to find out which remote shards the query has to be executed on. This scenario is different from shard failures that may happen later on when the query is actually executed, in case e.g. remote shards are missing, which is not going to fail the whole request but rather yield partial results, and the _shards section in the response will indicate that.
This commit introduces a boolean setting per cluster called search.remote.$cluster_alias.skip_if_disconnected, set to false by default, which allows to skip certain clusters if they are down when trying to reach them through a cross cluster search requests. By default all clusters are mandatory.
Scroll requests support such setting too when they are first initiated (first search request with scroll parameter), but subsequent scroll rounds (_search/scroll endpoint) will fail if some of the remote clusters went down meanwhile.
The search API response contains now a new _clusters section, similar to the _shards section, that gets returned whenever one or more clusters were disconnected and got skipped:
"_clusters" : {
"total" : 3,
"successful" : 2,
"skipped" : 1
}
Such section won't be part of the response if no clusters have been skipped.
The per cluster skip_unavailable setting value has also been added to the output of the remote/info API.
This commit removes the ability to use ${prompt.secret} and
${prompt.text} as valid config settings. Secure settings has obsoleted
the need for this, and it cleans up some of the code in Bootstrap.
This commit corrects a word usage error in the getting started
docs. Since pronunciation is what determines when to use either "a" or
"an" and the word "ubiquitous" is pronounced /yo͞oˈbikwədəs/, it should
be preceded by "a."
Relates #27420
Stardardize underscore requirements in parameters across different type of
requests:
_index, _type, _source, _id keep their underscores
params like version and retry_on_conflict will be without underscores
Throw an error if older versions of parameters are used
BulkRequest, MultiGetRequest, TermVectorcRequest, MoreLikeThisQuery
were changed
Closes#26886
* Make fields optional in multi_match query and rely on index.query.default_field by default
This commit adds the ability to send `multi_match` query without providing any `fields`.
When no fields are provided the `multi_match` query will use the fields defined in the index setting `index.query.default_field`
(which in turns defaults to `*`).
The same behavior is already implemented in `query_string` and `simple_query_string` so this change just applies
the heuristic to `multi_match` queries.
Relying on `index.query.default_field` rather than `*` is safer for big mappings that break the 1024 field expansion limit added in 7.0 for all
text queries. For these kind of mappings the admin can change the `index.query.default_field` in order to make sure that exploratory queries using
`multi_match`, `query_string` or `simple_query_string` do not throw an exception.
* This change adds a module called `aggs-composite` that defines a new aggregation named `composite`.
The `composite` aggregation is a multi-buckets aggregation that creates composite buckets made of multiple sources.
The sources for each bucket can be defined as:
* A `terms` source, values are extracted from a field or a script.
* A `date_histogram` source, values are extracted from a date field and rounded to the provided interval.
This aggregation can be used to retrieve all buckets of a deeply nested aggregation by flattening the nested aggregation in composite buckets.
A composite buckets is composed of one value per source and is built for each document as the combinations of values in the provided sources.
For instance the following aggregation:
````
"test_agg": {
"terms": {
"field": "field1"
},
"aggs": {
"nested_test_agg":
"terms": {
"field": "field2"
}
}
}
````
... which retrieves the top N terms for `field1` and for each top term in `field1` the top N terms for `field2`, can be replaced by a `composite` aggregation in order to retrieve **all** the combinations of `field1`, `field2` in the matching documents:
````
"composite_agg": {
"composite": {
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
},
}
}
````
The response of the aggregation looks like this:
````
"aggregations": {
"composite_agg": {
"buckets": [
{
"key": {
"field1": "alabama",
"field2": "almanach"
},
"doc_count": 100
},
{
"key": {
"field1": "alabama",
"field2": "calendar"
},
"doc_count": 1
},
{
"key": {
"field1": "arizona",
"field2": "calendar"
},
"doc_count": 1
}
]
}
}
````
By default this aggregation returns 10 buckets sorted in ascending order of the composite key.
Pagination can be achieved by providing `after` values, the values of the composite key to aggregate after.
For instance the following aggregation will aggregate all composite keys that sorts after `arizona, calendar`:
````
"composite_agg": {
"composite": {
"after": {"field1": "alabama", "field2": "calendar"},
"size": 100,
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
}
}
}
````
This aggregation is optimized for indices that set an index sorting that match the composite source definition.
For instance the aggregation above could run faster on indices that defines an index sorting like this:
````
"settings": {
"index.sort.field": ["field1", "field2"]
}
````
In this case the `composite` aggregation can early terminate on each segment.
This aggregation also accepts multi-valued field but disables early termination for these fields even if index sorting matches the sources definition.
This is mandatory because index sorting picks only one value per document to perform the sort.
Ryan Ernst
Jim Ferenczi
Jim Ferenczi
Andrew Banchich
Martijn van Groningen
Sian Lerk Lau
Christoph Büscher
Jason Tedor
Gytis Šk
Timoshenko
Mayya Sharipova
Shaunak Kashyap
Vlad Holubiev
Adrien Grand
David Pilato
sandstrom
Simon Willnauer
Alex Benusovich
Sandeep Kanabar
Glen Smith
Tanguy Leroux
Jack Conradson
olcbean
Christoph Büscher
markwalkom
Catalin Ursachi
Deb Adair
Nicholas Knize
Clinton Gormley
Christoph Büscher
Lee Hinman
Luca Cavanna
佛陀.RML
Denis Gladkikh
olcbean
Philipp Krenn
Kanako Nakai
David Turner
lcawley
kel
Nhat Nguyen
Takumasa Ochi
Christoph Büscher
Ulrich Reffle
Michael Basnight
K. Daniel Newton