This commit enables completion suggester to return documents
associated with suggestions. Now the document source is returned
with every suggestion, which respects source filtering options.
In case of suggest queries spanning more than one shard, the
suggest is executed in two phases, where the last phase fetches
the relevant documents from shards, implying executing suggest
requests against a single shard is more performant due to the
document fetch overhead when the suggest spans multiple shards.
Adds `warnings` syntax to the yaml test that allows you to expect
a `Warning` header that looks like:
```
- do:
warnings:
- '[index] is deprecated'
- quotes are not required because yaml
- but this argument is always a list, never a single string
- no matter how many warnings you expect
get:
index: test
type: test
id: 1
```
These are accessible from the docs with:
```
// TEST[warning:some warning]
```
This should help to force you to update the docs if you deprecate
something. You *must* add the warnings marker to the docs or the build
will fail. While you are there you *should* update the docs to add
deprecation warnings visible in the rendered results.
Today, when listing thread pools via the cat thread pool API, thread
pools are listed in a column-delimited format. This is unfriendly to
command-line tools, and inconsistent with other cat APIs. Instead,
thread pools should be listed in a row-delimited format.
Additionally, the cat thread pool API is limited to a fixed list of
thread pools that excludes certain built-in thread pools as well as all
custom thread pools. These thread pools should be available via the cat
thread pool API.
This commit improves the cat thread pool API by listing all thread pools
(built-in or custom), and by listing them in a row-delimited
format. Finally, for each node, the output thread pools are sorted by
thread pool name.
Relates #19721
Currently both aggregations really share the same implementation. This commit
splits the implementations so that regular histograms can support decimal
intervals/offsets and compute correct buckets for negative decimal values.
However the response API is still the same. So for intance both regular
histograms and date histograms will produce an
`org.elasticsearch.search.aggregations.bucket.histogram.Histogram`
aggregation.
The optimization to compute an identifier of the rounded value and the
rounded value itself has been removed since it was only used by regular
histograms, which now do the rounding themselves instead of relying on the
Rounding abstraction.
Closes#8082Closes#4847
* Rename operation to result and reworking responses
* Rename DocWriteResponse.Operation enum to DocWriteResponse.Result
These are just easier to interpret names.
Closes#19664
[DOCS] add java REST client docs
Add some docs on how to get started with the Java REST client, some common configuration that may be needed and the sniffer component.
The current heuristic to compute a default shard size is pretty aggressive,
it returns `max(10, number_of_shards * size)` as a value for the shard size.
I think making it less aggressive has the benefit that it would reduce the
likelyness of running into OOME when there are many shards (yearly
aggregations with time-based indices can make numbers of shards in the
thousands) and make the use of breadth-first more likely/efficient.
This commit replaces the heuristic with `size * 1.5 + 10`, which is enough
to have good accuracy on zipfian distributions.
* Update gateway.asciidoc
Added a note to clarify that, in cases where nodes in a cluster have different setting, the node that is the elected master takes precedence over anything else.
* Update gateway.asciidoc
Updated as per @bleskes's comments
This makes it obvious that these tests are for running the client yaml
suites. Now that there are other ways of running tests using the REST
client against a running cluster we can't go on calling the shared
client yaml tests "REST tests". They are rest tests, but they aren't
**the** rest tests.
Performing the bulk request shown in #19267 now results in the following:
```
{"_index":"test","_type":"test","_id":"1","_version":1,"_operation":"create","forced_refresh":false,"_shards":{"total":2,"successful":1,"failed":0},"status":201}
{"_index":"test","_type":"test","_id":"1","_version":1,"_operation":"noop","forced_refresh":false,"_shards":{"total":2,"successful":1,"failed":0},"status":200}
```
This change adds a new special path to the buckets_path syntax
`_bucket_count`. This new option will return the number of buckets for a
multi-bucket aggregation, which can then be used in pipeline
aggregations.
Closes#19553
This adds a header that looks like `Location: /test/test/1` to the
response for the index/create/update API. The requirement for the header
comes from https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.htmlhttps://tools.ietf.org/html/rfc7231#section-7.1.2 claims that relative
URIs are OK. So we use an absolute path which should resolve to the
appropriate location.
Closes#19079
This makes large changes to our rest test infrastructure, allowing us
to write junit tests that test a running cluster via the rest client.
It does this by splitting ESRestTestCase into two classes:
* ESRestTestCase is the superclass of all tests that use the rest client
to interact with a running cluster.
* ESClientYamlSuiteTestCase is the superclass of all tests that use the
rest client to run the yaml tests. These tests are shared across all
official clients, thus the `ClientYamlSuite` part of the name.
This adds new circuit breaking with the "request" breaker, which adds
circuit breaks based on the number of buckets created during
aggregations. It consists of incrementing during AggregatorBase creation
This also bumps the REQUEST breaker to 60% of the JVM heap now.
The output when circuit breaking an aggregation looks like:
```json
{
"shard" : 0,
"index" : "i",
"node" : "a5AvjUn_TKeTNYl0FyBW2g",
"reason" : {
"type" : "exception",
"reason" : "java.util.concurrent.ExecutionException: QueryPhaseExecutionException[Query Failed [Failed to execute main query]]; nested: CircuitBreakingException[[request] Data too large, data for [<agg [otherthings]>] would be larger than limit of [104857600/100mb]];",
"caused_by" : {
"type" : "execution_exception",
"reason" : "QueryPhaseExecutionException[Query Failed [Failed to execute main query]]; nested: CircuitBreakingException[[request] Data too large, data for [<agg [myagg]>] would be larger than limit of [104857600/100mb]];",
"caused_by" : {
"type" : "circuit_breaking_exception",
"reason" : "[request] Data too large, data for [<agg [otherthings]>] would be larger than limit of [104857600/100mb]",
"bytes_wanted" : 104860781,
"bytes_limit" : 104857600
}
}
}
}
```
Relates to #14046
With #19140 we started persisting the node ID across node restarts. Now that we have a "stable" anchor, we can use it to generate a stable default node name and make it easier to track nodes over a restarts. Sadly, this means we will not have those random fun Marvel characters but we feel this is the right tradeoff.
On the implementation side, this requires a bit of juggling because we now need to read the node id from disk before we can log as the node node is part of each log message. The PR move the initialization of NodeEnvironment as high up in the starting sequence as possible, with only one logging message before it to indicate we are initializing. Things look now like this:
```
[2016-07-15 19:38:39,742][INFO ][node ] [_unset_] initializing ...
[2016-07-15 19:38:39,826][INFO ][node ] [aAmiW40] node name set to [aAmiW40] by default. set the [node.name] settings to change it
[2016-07-15 19:38:39,829][INFO ][env ] [aAmiW40] using [1] data paths, mounts [[ /(/dev/disk1)]], net usable_space [5.5gb], net total_space [232.6gb], spins? [unknown], types [hfs]
[2016-07-15 19:38:39,830][INFO ][env ] [aAmiW40] heap size [1.9gb], compressed ordinary object pointers [true]
[2016-07-15 19:38:39,837][INFO ][node ] [aAmiW40] version[5.0.0-alpha5-SNAPSHOT], pid[46048], build[473d3c0/2016-07-15T17:38:06.771Z], OS[Mac OS X/10.11.5/x86_64], JVM[Oracle Corporation/Java HotSpot(TM) 64-Bit Server VM/1.8.0_51/25.51-b03]
[2016-07-15 19:38:40,980][INFO ][plugins ] [aAmiW40] modules [percolator, lang-mustache, lang-painless, reindex, aggs-matrix-stats, lang-expression, ingest-common, lang-groovy, transport-netty], plugins []
[2016-07-15 19:38:43,218][INFO ][node ] [aAmiW40] initialized
```
Needless to say, settings `node.name` explicitly still works as before.
The commit also contains some clean ups to the relationship between Environment, Settings and Plugins. The previous code suggested the path related settings could be changed after the initial Environment was changed. This did not have any effect as the security manager already locked things down.
Add parser for anonymous char_filters/tokenizer/token_filters
Using Settings in AnalyzeRequest for anonymous definition
Add breaking changes document
Closed#8878
Remove `ParseField` constants used for names where there are no deprecated
names and just use the `String` version of the registration method instead.
This is step 2 in cleaning up the plugin interface for extending
search time actions. Aggregations are next.
This is breaking for plugins because those that register a new query should
now implement `SearchPlugin` rather than `onModule(SearchModule)`.
The `client/transport` project adds a new jar build project that
pulls in all dependencies and configures all required modules.
Preinstalled modules are:
* transport-netty
* lang-mustache
* reindex
* percolator
The `TransportClient` classes are still in core
while `TransportClient.Builder` has only a protected construcutor
such that users are redirected to use the new `TransportClientBuilder`
from the new jar.
Closes#19412
Previously if the size of the search request was greater than zero we would not cache the request in the request cache.
This change retains the default behaviour of not caching requests with size > 0 but also allows the `request_cache=true` query parameter
to enable the cache for requests with size > 0
This is a tentative to revive #15939 motivated by elastic/beats#1941.
Half-floats are a pretty bad option for storing percentages. They would likely
require 2 bytes all the time while they don't need more than one byte.
So this PR exposes a new `scaled_float` type that requires a `scaling_factor`
and internally indexes `value*scaling_factor` in a long field. Compared to the
original PR it exposes a lower-level API so that the trade-offs are clearer and
avoids any reference to fixed precision that might imply that this type is more
accurate (actually it is *less* accurate).
In addition to being more space-efficient for some use-cases that beats is
interested in, this is also faster that `half_float` unless we can improve the
efficiency of decoding half-float bits (which is currently done using software)
or until Java gets first-class support for half-floats.
Today the default precision for the cardinality aggregation depends on how many
parent bucket aggregations it had. The reasoning was that the more parent bucket
aggregations, the more buckets the cardinality had to be computed on. And this
number could be huge depending on what the parent aggregations actually are.
However now that we run terms aggregations in breadth-first mode by default when
there are sub aggregations, it is less likely that we have to run the cardinality
aggregation on kagilions of buckets. So we could use a static default, which will
be less confusing to users.
* Removed `Template` class and unified script & template parsing logic. Templates are scripts, so they should be defined as a script. Unless there will be separate template infrastructure, templates should share as much code as possible with scripts.
* Removed ScriptParseException in favour for ElasticsearchParseException
* Moved TemplateQueryBuilder to lang-mustache module because this query is hard coded to work with mustache only
This change removes the multiple ways that plugins can be added to the
integ test cluster. It also removes the use of the default
configuration, and instead adds a zip configuration to all plugins. This
will enable using project substitutions with plugins, which must be done
with the default configuration.
This should make them easier to read and adds them to the test suite
I changed the example from a two node cluster to a single node cluster
because that is what we have running in the integration tests. It is also
what a user just starting out is likely to see so I think that is ok.
Invocation counts can be used to help judge the selectivity of individual query components in the context of the entire query. E.g. a query may not look selective when run by itself (matches most of the index), but when run in context of a full search request, is evaluated only rarely due to execution order
Since this is modifying the base timing class, it'll enrich both query and agg profiles (as well as future profile results)
Today `node.mode` and `node.local` serve almost the same purpose, they
are a shortcut for `discovery.type` and `transport.type`. If `node.local: true`
or `node.mode: local` is set elasticsearch will start in _local_ mode which means
only nodes within the same JVM are discovered and a non-network based transport
is used. The _local_ mode it only really used in tests or if nodes are embedded.
For both, embedding and tests explicit configuration via `discovery.type` and `transport.type`
should be preferred.
This change removes all the usage of these settings and by-default doesn't
configure a default transport implemenation since netty is now a module. Yet, to make
the user expericence flawless, plugins or modules can set a `http.type.default` and
`transport.type.default`. Plugins set this via `PluginService#additionalSettings()`
which enforces _set-once_ which prevents node startup if set multiple times. This means
that our distributions will just startup with netty transport since it's packaged as a
module unless `transport.type` or `http.transport.type` is explicitly set.
This change also found a bunch of bugs since several NamedWriteables were not registered if a
transport client is used. Now that we don't rely on the `node.mode` leniency which is inherited
instead of using explicit settings, `TransportClient` uses `AssertingLocalTransport` which detects these problems since it serializes all messages.
Closes#16234
This commit removes support for properties syntax and config files:
- removed support for elasticsearch.properties
- removed support for logging.properties
- removed support for properties content detection in REST APIs
- removed support for properties content detection in Java API
Relates #19398
Switches most search behavior extensions from push (`onModule(SearchModule)`)
to pull (`implements SearchPlugin`). This effort in general gives plugin
authors a much cleaner view of how to extend Elasticsearch and starts to
set up portions of Elasticsearch as "the plugin API". This commit in
particular does that for search-time behavior like customized suggesters,
highlighters, score functions, and significance heuristics.
It also switches most such customization to being done at search module
construction time which is much, much easier to reason about from a testing
perspective. It also helps significantly in the process of de-guice-ing
Elasticsearch's startup.
There are at least two major search time extensions that aren't covered in
this commit that will simply have to wait for the next commit on the topic
because this one has already grown large: custom aggregations and custom
queries. These will likely live in the same SearchPlugin interface as well.
If there are percolator queries containing `range` queries with ranges based on the current time then this can lead to incorrect results if the `percolate` query gets cached. These ranges are changing each time the `percolate` query gets executed and if this query gets cached then the results will be based on how the range was at the time when the `percolate` query got cached.
The ExtractQueryTermsService has been renamed `QueryAnalyzer` and now only deals with analyzing the query (extracting terms and deciding if the entire query is a verified match) . The `PercolatorFieldMapper` is responsible for adding the right fields based on the analysis the `QueryAnalyzer` has performed, because this is highly dependent on the field mappings. Also the `PercolatorFieldMapper` is responsible for creating the percolate query.
Today when a thread encounters a fatal unrecoverable error that
threatens the stability of the JVM, Elasticsearch marches on. This
includes out of memory errors, stack overflow errors and other errors
that leave the JVM in a questionable state. Instead, the Elasticsearch
JVM should die when these errors are encountered. This commit causes
this to be the case.
Relates #19272
This adds a remote option to reindex that looks like
```
curl -POST 'localhost:9200/_reindex?pretty' -d'{
"source": {
"remote": {
"host": "http://otherhost:9200"
},
"index": "target",
"query": {
"match": {
"foo": "bar"
}
}
},
"dest": {
"index": "target"
}
}'
```
This reindex has all of the features of local reindex:
* Using queries to filter what is copied
* Retry on rejection
* Throttle/rethottle
The big advantage of this version is that it goes over the HTTP API
which can be made backwards compatible.
Some things are different:
The query field is sent directly to the other node rather than parsed
on the coordinating node. This should allow it to support constructs
that are invalid on the coordinating node but are valid on the target
node. Mostly, that means old syntax.
This change activates the doc_values on the _size field for indices created after 5.0.0-alpha4.
It also adds a note in the breaking changes that explain the situation and how to get around it.
Closes#18334
Node IDs are currently randomly generated during node startup. That means they change every time the node is restarted. While this doesn't matter for ES proper, it makes it hard for external services to track nodes. Another, more minor, side effect is that indexing the output of, say, the node stats API results in creating new fields due to node ID being used as keys.
The first approach I considered was to use the node's published address as the base for the id. We already [treat nodes with the same address as the same](https://github.com/elastic/elasticsearch/blob/master/core/src/main/java/org/elasticsearch/discovery/zen/NodeJoinController.java#L387) so this is a simple change (see [here](https://github.com/elastic/elasticsearch/compare/master...bleskes:node_persistent_id_based_on_address)). While this is simple and it works for probably most cases, it is not perfect. For example, if after a node restart, the node is not able to bind to the same port (because it's not yet freed by the OS), it will cause the node to still change identity. Also in environments where the host IP can change due to a host restart, identity will not be the same.
Due to those limitation, I opted to go with a different approach where the node id will be persisted in the node's data folder. This has the upside of connecting the id to the nodes data. It also means that the host can be adapted in any way (replace network cards, attach storage to a new VM). I
It does however also have downsides - we now run the risk of two nodes having the same id, if someone copies clones a data folder from one node to another. To mitigate this I changed the semantics of the protection against multiple nodes with the same address to be stricter - it will now reject the incoming join if a node exists with the same id but a different address. Note that if the existing node doesn't respond to pings (i.e., it's not alive) it will be removed and the new node will be accepted when it tries another join.
Last, and most importantly, this change requires that *all* nodes persist data to disk. This is a change from current behavior where only data & master nodes store local files. This is the main reason for marking this PR as breaking.
Other less important notes:
- DummyTransportAddress is removed as we need a unique network address per node. Use `LocalTransportAddress.buildUnique()` instead.
- I renamed `node.add_lid_to_custom_path` to `node.add_lock_id_to_custom_path` to avoid confusion with the node ID which is now part of the `NodeEnvironment` logic.
- I removed the `version` paramater from `MetaDataStateFormat#write` , it wasn't really used and was just in the way :)
- TribeNodes are special in the sense that they do start multiple sub-nodes (previously known as client nodes). Those sub-nodes do not store local files but derive their ID from the parent node id, so they are generated consistently.
Rename `fields` to `stored_fields` and add `docvalue_fields`
`stored_fields` parameter will no longer try to retrieve fields from the _source but will only return stored fields.
`fields` will throw an exception if the user uses it.
Add `docvalue_fields` as an adjunct to `fielddata_fields` which is deprecated. `docvalue_fields` will try to load the value from the docvalue and fallback to fielddata cache if docvalues are not enabled on that field.
Closes#18943
We introduced a special response_body assertion to test our docs snippets. The match assertion does the same job though and can be reused and adapted where needed. ResponseBodyAssertion contains provides much better and accurate errors though, which can be now utilized in MatchAssertion so that many more REST tests can benefit from readable error messages.
Each response body gets always stashed and can be retrieved for later evaluations already. Instead of providing the response body as strings that get parsed to json objects separately, then converted to maps as ResponseBodyAssertion did, we parse everything once, the json is part of the yaml test, which is supported. The only downside is that json comments cannot be used, rather yaml comments should be used (// C style vs # ). There were only two docs tests that were using comments in ingest-node.asciidoc where I went ahead and remove the comments which didn't seem that useful anyways.
We have long worked to capture different partitioning scenarios in our testing infra. This PR adds a new variant, inspired by the Jepsen blogs, which was forgotten far - namely a partition where one node can still see and be seen by all other nodes. It also updates the resiliency page to better reflect all the work that was done in this area.
Update-By-Query and Delete-By-Query use internal versioning to update/delete documents. But documents can have a version number equal to zero using the external versioning... making the UBQ/DBQ request fail because zero is not a valid version number and they only support internal versioning for now. Sequence numbers might help to solve this issue in the future.
As discussed at https://github.com/elastic/elasticsearch-cloud-azure/issues/91#issuecomment-229113595, we know that the current `discovery-azure` plugin only works with Azure Classic VMs / Services (which is somehow Legacy now).
The proposal here is to rename `discovery-azure` to `discovery-azure-classic` in case some users are using it.
And deprecate it for 5.0.
Closes#19144.
`RestHandler`s are highly tied to actions so registering them in the
same place makes sense.
Removes the need to for plugins to check if they are in transport client
mode before registering a RestHandler - `getRestHandlers` isn't called
at all in transport client mode.
This caused guice to throw a massive fit about the circular dependency
between NodeClient and the allocation deciders. I broke the circular
dependency by registering the actions map with the node client after
instantiation.
As some plugins are becoming big now, it is hard for the user to know, if the plugin
is being downloaded or just nothing happens.
This commit adds a progress bar during download, which can be disabled by using the `-q`
parameter.
In addition this updates to jimfs 1.1, which allows us to test the batch mode, as adding
security policies are now supported due to having jimfs:// protocol support in URL stream
handlers.
This pull request adds two util functions to the Mustache templating engine:
- {{#toJson}}my_map{{/toJson}} to render a Map parameter as a JSON string
- {{#join}}my_iterable{{/join}} to render any iterable (including arrays) as a comma separated list of values like `1, 2, 3`. It's also possible de change the default delimiter (comma) to something else.
closes#18970
These are useful methods in groovy that give you control over
the replacements used:
```
'the quick brown fox'.replaceAll(/[aeiou]/,
m -> m.group().toUpperCase(Locale.ROOT))
```
Instead of implementing onModule(ActionModule) to register actions,
this has plugins implement ActionPlugin to declare actions. This is
yet another step in cleaning up the plugin infrastructure.
While I was in there I switched AutoCreateIndex and DestructiveOperations
to be eagerly constructed which makes them easier to use when
de-guice-ing the code base.
In 995e4eda08be99f72ef56052b3f78ceef9100885 we changed the cluster health Java API.
We need to also change the documentation.
Backport of #19093 in master branch
The discovery-plugin has been broken since 2.x because the code was not compliant with the security manager and because plugins have been refactored.
closes#18637, #15630
This commit modifies TimeValue parsing to keep the input time unit. This
enables round-trip parsing from instances of String to instances of
TimeValue and vice-versa. With this, this commit removes support for the
unit "w" representing weeks, and also removes support for fractional
values of units (e.g., 0.5s).
Relates #19102
This commit fixes several NPEs caused by implicitly performing a get request for a document that exists with its _source disabled and then trying to access the source. Instead of causing an NPE the following queries will throw an exception with a "source disabled" message (similar behavior as if the document does not exist).:
- GeoShape query for pre-indexed shape (throws IllegalArgumentException)
- Percolate query for an existing document (throws IllegalArgumentException)
A Terms query with a lookup will ignore the document if the source does not exist (same as if the document does not exist).
GET and HEAD requests for the document _source will return a 404 if the source is disabled (even if the document exists).
Instead of plugins calling `registerTokenizer` to extend the analyzer
they now instead have to implement `AnalysisPlugin` and override
`getTokenizer`. This lines up extending plugins in with extending
scripts. This allows `AnalysisModule` to construct the `AnalysisRegistry`
immediately as part of its constructor which makes testing anslysis
much simpler.
This also moves the default analysis configuration into `AnalysisModule`
which is how search is setup.
Like `ScriptModule`, `AnalysisModule` no longer extends `AbstractModule`.
Instead it is only responsible for building `AnslysisRegistry`. We still
bind `AnalysisRegistry` but we only do so in `Node`. This is means it
is available at module construction time so we slowly remove the need to
bind it in guice.
This commit fixes several NPEs caused by implicitly performing a get request for a document that exists with its _source disabled and then trying to access the source. Instead of causing an NPE the following queries will throw an exception with a "source disabled" message (similar behavior as if the document does not exist).:
- GeoShape query for pre-indexed shape (throws IllegalArgumentException)
- Percolate query for an existing document (throws IllegalArgumentException)
A Terms query with a lookup will ignore the document if the source does not exist (same as if the document does not exist).
GET and HEAD requests for the document _source will return a 404 if the source is disabled (even if the document exists).
This moves the "Performance Considerations for Elasticsearch Indexing" blog post
to the reference guide and adds similar recommendations for tuning disk usage
and search speed.
This commit moves template support out of the Search API to its own dedicated Search Template API in the lang-mustache module. It provides a new SearchTemplateAction that can be used to render templates before it gets delegated to the usual Search API. The current REST endpoint are identical, but the Render Search Template endpoint now uses the same Search Template API with a new "simulate" option. When this option is enabled, the Search Template API only renders template and returns immediatly, without executing the search.
Closes#17906
We aren't able to actually create an index with _timestamp enabled
to test the migration, or, at least, we won't be able to after #18980
is re-merged. But the docs are still ok.
Closes#19007
If a plugin declares `onModule(SomethingThatIsntAModule)` then refuse
to start. Before this commit we just logged a warning that flies by in
the console and is easy to miss. You can't miss refusing to start!
`stored_fields` parameter will no longer try to retrieve fields from the _source but will only return stored fields.
`fields` will throw an exception if the user uses it.
Add `docvalue_fields` as an adjunct to `fielddata_fields` which is deprecated. `docvalue_fields` will try to load the value from the docvalue and fallback to fielddata cache if docvalues are not enabled on that field.
Closes#18943
The default similarity was set to `classic` which refers to TFIDF and has not been moved after the upgrade to Lucene 6.
Though moving to BM25 could have some downside for queries that relies on coordination factor (match_query, multi_match_query) ?
relates #18944
We wrote that the document is:
```json
{
"value" : ["foo", "bar", "baz"]
}
```
But the processor is using a `values` field:
```json
{
"foreach" : {
"field" : "values",
"processors" : [
// ...
]
}
}
```
It should be `values`.
ES only sends a non-200 response all shards fail but we should
fail the tests generated by docs if any of them fail.
Depending on the outcome of #18978 this might be a temporary
workaround.
The MMapDirectory has a switch that allows the content of files to be loaded
into the filesystem cache upon opening. This commit exposes it with the new
`index.store.pre_load` setting.
This commit removes the search preference _only_node as the same
functionality can be obtained by using the search preference
_only_nodes. This commit also adds a test that ensures that _only_nodes
will continue to support specifying node IDs.
Relates #18875
This commit adds a note to the breaking changes docs that since commit
da74323141, thread pool settings are no
longer cluster-level settings and thus not dynamically updatable.
Painless: Add support for //m
Painless: Add support for //s
Painless: Add support for //i
Painless: Add support for //u
Painless: Add support for //U
Painless: Add support for //l
This means "literal" and is exposed for completeness sake with
the java api.
Painless: Add support for //c
c enables Java's CANON_EQ (canonical equivalence) flag which makes
unicode characters that are canonically equal match. Java's javadoc
gives "a\u030A" being equal to "\u00E5". That is that the "a" code
point followed by the "combining ring above" code point is equal to
the "a with combining ring above" code point.
Update docs and add multi-flag test
Whitelist most of the Pattern class.
Adds support for the find operator (=~) and the match operator (==~)
to painless's regexes. Also whitelists most of the Matcher class and
documents regex support in painless.
The find operator (=~) returns a boolean that is the result of building
a matcher on the lhs with the Pattern on the RHS and calling `find` on
it. Use it like this:
```
if (ctx._source.last =~ /b/)
```
The match operator (==~) returns boolean like find but instead of calling
`find` on the Matcher it calls `matches`.
```
if (ctx._source.last ==~ /[^aeiou].*[aeiou]/)
```
Finally, if you want the actual matcher you do:
```
Matcher m = /[aeiou]/.matcher(ctx._source.last)
```
They have been implemented in https://issues.apache.org/jira/browse/LUCENE-7289.
Ranges are implemented so that the accuracy loss only occurs at index time,
which means that if you are searching for values between A and B, the query will
match exactly all documents whose value rounded to the closest half-float point
is between A and B.
Thread pool settings are no longer dynamically updatable since
da74323141. This commit removes a leftover
note from the thread pool module docs that incorrectly states that
thread pool settings are dynamically updatable.
The search preference _prefer_node allows specifying a single node to
prefer when routing a request. This functionality can be enhanced by
permitting multiple nodes to be preferred. This commit replaces the
search preference _prefer_node with the search preference _prefer_nodes
which supplants the former by specifying a single node and otherwise
adds functionality.
Relates #18872
We weren't doing it before because we weren't starting the plugins.
Now we are.
The hardest part of this was handling the files the tests expect
to be on the filesystem. extraConfigFiles was broken.
This adds a get task API that supports GET /_tasks/${taskId} and
removes that responsibility from the list tasks API. The get task
API supports wait_for_complation just as the list tasks API does
but doesn't support any of the list task API's filters. In exchange,
it supports falling back to the .results index when the task isn't
running any more. Like any good GET API it 404s when it doesn't
find the task.
Then we change reindex, update-by-query, and delete-by-query to
persist the task result when wait_for_completion=false. The leads
to the neat behavior that, once you start a reindex with
wait_for_completion=false, you can fetch the result of the task by
using the get task API and see the result when it has finished.
Also rename the .results index to .tasks.
By default the number of searches msearch executes is capped by the number of
nodes multiplied with the default size of the search threadpool. This default can be
overwritten by using the newly added `max_concurrent_searches` parameter.
Before the msearch api would concurrently execute all searches concurrently. If many large
msearch requests would be executed this could lead to some searches being rejected
while other searches in the msearch request would succeed.
The goal of this change is to avoid this exhausting of the search TP.
Closes#17926
The database files have been doubled in size compared to the previous files being used.
For this reason the database files are now gzip compressed, which required using
`GZIPInputStream` when loading database files.
Areek Zillur
Nik Everett
Clinton Gormley
Ryan Biesemeyer
Jason Tedor
debadair
Mary
Ali Beyad
Adrien Grand
Lee Hinman
Luca Cavanna
javanna
Alexander Lin
Isabel Drost-Fromm
Tanguy Leroux
Glen Smith
Martijn van Groningen
Colin Goodheart-Smithe
Brandon Wulf
markwalkom
kingrhoton
Jared McQueen
Tyler Langlois
Isabel Drost-Fromm
Boaz Leskes
David Pilato
Sakthipriyan Vairamani
Folusho Oladipo
Jun Ohtani
Ryan Ernst
Simon Willnauer
James Baiera
Zachary Tong
Tal Levy
Michael Sander
Sho Minagawa
Yannick Welsch
Christoph Wurm
Britta Weber
Jim Ferenczi
Leon Weidauer
jalvar08
Paul Echeverri
Alexander Reelsen
Robert Muir
Robert Muir
Jerry Liu
Damien Alexandre
Alex Benusovich
Mike McCandless
Eric Sherman
debadair
Mateusz Rzepa
Philips Kokoh
Vladimir Kovpak
Itamar Syn-Hershko
Aaron Mildenstein
eratio08
Britta Weber