Add support for retrieving fields in bulk updates
This commit adds support to retrieve fields when using the bulk update API. This functionality was previously available for the update API
but not for the bulk update API.
Closes#11527
This commit adds support to retrieve fields when using the bulk update API. This functionality was previously available for the update API
but not for the bulk update API.
Closes#11527
Fixed documentation since the default rewrite method for fuzzy queries is to
select top terms, fixed usage of the fuzzy rewrite method, and removed unused
`rewrite` parameter.
Close#6932
This rewrite method is interesting because it computes scores as if all terms
had the same frequencies, which avoids disappointments with ranking when a fuzzy
query ranks typos first given that they are less frequent than the correct term.
Plugin Manager can now use another simplified form when a user wants to install an official plugin hosted at elasticsearch download service.
The form we use is:
```sh
bin/plugin install pluginname
```
As plugins share now the same version as elasticsearch, we can automatically guess what is the exact current version of the plugin manager script.
Also, download service will now use `/org.elasticsearch.plugins/pluginName/pluginName-version.zip` URL path to download a plugin.
If the older form is provided (`user/plugin/version` or `user/plugin`), we will still use:
* elasticsearch download service at `/user/plugin/plugin-version.zip`
* maven central with groupIp=user, artifactId=plugin and version=version
* github with user=user, repoName=plugin and tag=version
* github with user=user, repoName=plugin and branch=master if no version is set
Note that community plugin providers can use other download services by using `--url` option.
If you try to use the new form with a non core elasticsearch plugin, the plugin manager will reject
it and will give you all known core plugins.
```
Usage:
-u, --url [plugin location] : Set exact URL to download the plugin from
-i, --install [plugin name] : Downloads and installs listed plugins [*]
-t, --timeout [duration] : Timeout setting: 30s, 1m, 1h... (infinite by default)
-r, --remove [plugin name] : Removes listed plugins
-l, --list : List installed plugins
-v, --verbose : Prints verbose messages
-s, --silent : Run in silent mode
-h, --help : Prints this help message
[*] Plugin name could be:
elasticsearch-plugin-name for Elasticsearch 2.0 Core plugin (download from download.elastic.co)
elasticsearch/plugin/version for elasticsearch commercial plugins (download from download.elastic.co)
groupId/artifactId/version for community plugins (download from maven central or oss sonatype)
username/repository for site plugins (download from github master)
Elasticsearch Core plugins:
- elasticsearch-analysis-icu
- elasticsearch-analysis-kuromoji
- elasticsearch-analysis-phonetic
- elasticsearch-analysis-smartcn
- elasticsearch-analysis-stempel
- elasticsearch-cloud-aws
- elasticsearch-cloud-azure
- elasticsearch-cloud-gce
- elasticsearch-delete-by-query
- elasticsearch-lang-javascript
- elasticsearch-lang-python
```
This pipeline aggregation runs a script on each bucket in the parent aggregation to determine whether the bucket is kept in the final aggregation tree. If the script returns true the bucket is retained, if it returns false the bucket is dropped
If you are using the default date or the named identifiers of dates,
the current implementation was allowed to read a year with only one
digit. In order to make this more strict, this fixes a year to be at
least 4 digits. Same applies for month, day, hour, minute, seconds.
Also the new default is `strictDateOptionalTime` for indices created
with Elasticsearch 2.0 or newer.
In addition a couple of not exposed date formats have been exposed, as they
have been mentioned in the documentation.
Closes#6158
Moving the query building functionality from the parser to the builders
new toQuery() method analogous to other recent query refactorings.
Relates to #10217
Currently parsing inner queries can return `null` which leads to unnecessary complicated
null checks further up the query hierarchy. By introducing a special EmptyQueryBuilder
that can be used to signal that this query clause should be ignored upstream where possible,
we can avoid additional null checks in parent query builders and still allow for this query
to be ignored when creating the lucene query later.
This new builder returns `null` when calling its `toQuery()` method, so at this point
we still need to handle it, but having an explicit object for the intermediate query
representation makes it easier to differentiate between cases where inner query clauses are
empty (legal) or are not set at all (illegal).
Also added check for empty inner builder list to BoolQueryBuilder and OrQueryBuilder.
Removed setters for positive/negatice query in favour of constructor with
mandatory non-null arguments in BoostingQueryBuilder.
Closes#11915
The `:ref:` link in java-api doc is connected to `current` version which is at this time `1.6`.
This commit patch this.
That being said, we might have to change it again once master will become `current` doc.
This commit reorganizes the docs to make Java API docs looking more like the REST docs.
Also, with 2.0.0, FilterBuilders don't exist anymore but only QueryBuilders.
Also, all docs api move now to docs/java-api/docs dir as for REST doc.
Remove removed queries/filters
-----
* Remove Constant Score Query with filter
* Remove Fuzzy Like This (Field) Query (flt and flt_field)
* Remove FilterBuilders
Move filters to queries
-----
* Move And Filter to And Query
* Move Bool Filter to Bool Query
* Move Exists Filter to Exists Query
* Move Geo Bounding Box Filter to Geo Bounding Box Query
* Move Geo Distance Filter to Geo Distance Query
* Move Geo Distance Range Filter to Geo Distance Range Query
* Move Geo Polygon Filter to Geo Polygon Query
* Move Geo Shape Filter to Geo Shape Query
* Move Has Child Filter by Has Child Query
* Move Has Parent Filter by Has Parent Query
* Move Ids Filter by Ids Query
* Move Limit Filter to Limit Query
* Move MatchAll Filter to MatchAll Query
* Move Missing Filter to Missing Query
* Move Nested Filter to Nested Query
* Move Not Filter to Not Query
* Move Or Filter to Or Query
* Move Range Filter to Range Query
* Move Ids Filter to Ids Query
* Move Term Filter to Term Query
* Move Terms Filter to Terms Query
* Move Type Filter to Type Query
Add missing queries
-----
* Add Common Terms Query
* Add Filtered Query
* Add Function Score Query
* Add Geohash Cell Query
* Add Regexp Query
* Add Script Query
* Add Simple Query String Query
* Add Span Containing Query
* Add Span Multi Term Query
* Add Span Within Query
Reorganize the documentation
-----
* Organize by full text queries
* Organize by term level queries
* Organize by compound queries
* Organize by joining queries
* Organize by geo queries
* Organize by specialized queries
* Organize by span queries
* Move Boosting Query
* Move DisMax Query
* Move Fuzzy Query
* Move Indices Query
* Move Match Query
* Move Mlt Query
* Move Multi Match Query
* Move Prefix Query
* Move Query String Query
* Move Span First Query
* Move Span Near Query
* Move Span Not Query
* Move Span Or Query
* Move Span Term Query
* Move Template Query
* Move Wildcard Query
Add some missing pages
----
* Add multi get API
* Add indexed-scripts link
Also closes#7826
Related to https://github.com/elastic/elasticsearch/pull/11477#issuecomment-114745934
The work around for resolving `now` doesn't need to be used for aliases, becuase alias filters are parsed at search time. However it can't be removed, because the percolator relies on it.
Parent/child can be specified again in alias filters, this now works again because alias filters are parsed at search time. Parent/child will also use the late query parse work around, to make sure to do the final preparations when the search context is around. This allows the aliases api to validate the parent/child queries without failing because there is no search context.
Closes#10485
Following the discussion in #11744, move boost and query _name to base class AbstractQueryBuilder with their getters and setters. Unify their serialization code and equals/hashcode handling in the base class too. This guarantess that every query supports both _name and boost and nothing needs to be done around those in subclasses besides properly parsing the fields in the parsers and printing them out as part of the doXContent method in the builders. More specifically, these are the performed changes:
- Introduced printBoostAndQueryName utility method in AbstractQueryBuilder that subclasses can use to print out _name and boost in their doXContent method.
- readFrom and writeTo are now final methods that take care of _name and boost serialization. Subclasses have to implement doReadFrom and doWriteTo instead.
- toQuery is a final method too that takes care of properly applying _name and boost to the lucene query. Subclasses have to implement doToQuery instead. The query returned will have boost and queryName applied automatically.
- Removed BoostableQueryBuilder interface, given that every query is boostable after this change. This won't have any negative effect on filters, as the boost simply gets ignored in that case.
- Extended equals and hashcode to handle queryName and boost automatically as well.
- Update the query test infra so that queryName and boost are tested automatically, and whenever they are forgotten in parser or doXContent tests fail, so this makes things a lot less error-prone
- Introduced DEFAULT_BOOST constant to make sure we don't repeat 1.0f all the time for default boost values.
SpanQueryBuilder is again a marker interface only. The convenient toQuery that allowed us to override the return type to SpanQuery cannot be supported anymore due to a clash with the toQuery implementation from AbstractQueryBuilder. We have to go back to castin lucene Query to SpanQuery when dealing with span queries unfortunately.
Note that this change touches not only the already refactored queries but also the untouched ones, by making sure that we parse _name and boost whenever we need to and that we print them out as part of QueryBuilder#doXContent. This will result in printing out the default boost all the time rather than skipping it in non refactored queries, something that we would have changed anyway as part of the query refactoring.
The following are the queries that support boost now while previously they didn't (parser now parses it and builder prints it out): and, exists, fquery, geo_bounding_box, geo_distance, geo_distance_range, geo_hash_cell, geo_polygon, indices, limit, missing, not, or, script, type.
The following are the queries that support _name now while previously they didn't (parser now parses it and builder prints it out): boosting, constant_score, function_score, limit, match_all, type.
Range query parser supports now _name at the same level as boost too (_name is still supported on the outer object though for bw comp).
There are two exceptions that despite have getters and setters for queryName and boost don't really support boost and queryName: query filter and span multi term query. The reason for this is that they only support a single inner object which is another query that they wrap, no other elements.
Relates to #11744Closes#10776Closes#11974
The filters aggregation now has an option to add an 'other' bucket which will, when turned on, contain all documents which do not match any of the defined filters. There is also an option to change the name of the 'other' bucket from the default of '_other_'
Closes#11289
Field stats index constraints allows to omit all field stats for indices that don't match with the constraint. An index
constraint can exclude indices' field stats based on the `min_value` and `max_value` statistic. This option is only
useful if the `level` option is set to `indices`.
For example index constraints can be useful to find out the min and max value of a particular property of your data in
a time based scenario. The following request only returns field stats for the `answer_count` property for indices
holding questions created in the year 2014:
curl -XPOST 'http://localhost:9200/_field_stats?level=indices' -d '{
"fields" : ["answer_count"] <1>
"index_constraints" : { <2>
"creation_date" : { <3>
"min_value" : { <4>
"gte" : "2014-01-01T00:00:00.000Z",
},
"max_value" : {
"lt" : "2015-01-01T00:00:00.000Z"
}
}
}
}'
Closes#11187
In order to be more consistent with what they do, the query cache has been
renamed to request cache and the filter cache has been renamed to query
cache.
A known issue is that package/logger names do no longer match settings names,
please speak up if you think this is an issue.
Here are the settings for which I kept backward compatibility. Note that they
are a bit different from what was discussed on #11569 but putting `cache` before
the name of what is cached has the benefit of making these settings consistent
with the fielddata cache whose size is configured by
`indices.fielddata.cache.size`:
* index.cache.query.enable -> index.requests.cache.enable
* indices.cache.query.size -> indices.requests.cache.size
* indices.cache.filter.size -> indices.queries.cache.size
Close#11569
Today, we disable CORS by default, but if a user simply enables CORS their instance of
elasticsearch will allow cross origin requests from anywhere, as the default value for allowed
origins is `*`.
This changes the default to be `null` so that no origins are allowed and the user must explicitly
specify the origins they wish to allow requests from. The documentation also mentions that there
is a security risk in using `*` as the value.
Closes#11169
In order to be backwards compatible, indices created before 2.x must support
indexing of a unix timestamp and its configured date format. Indices created
with 2.x must configure the `epoch_millis` date formatter in order to
support this.
Relates #10971
This adds a new pipeline aggregation, the cumulative sum aggregation. This is a parent aggregation which must be specified as a sub-aggregation to a histogram or date_histogram aggregation. It will add a new aggregation to each bucket containing the sum of a specified metrics over this and all previous buckets.
As we now have an enum Operator that comes with many useful helper methods switching to use
that instead of the enums defined separately. Also switches to using the new enum's helper
methods where applicable removing duplicate parsing logic.
This breaks backwards compatibility. Documenting the break in
migrate_query_refactoring.asciidoc
Relates to #10217
This commit consolidates several abstractions on the shard level in
ordinary classes not managed by the shard level guice injector.
Several classes have been collapsed into IndexShard and IndexShardGatewayService
was cleaned up to be more lightweight and self-contained. It has also been moved into
the index.shard package and it's operation is renamed from recovery from "gateway" to recovery
from "store" or "shard_store".
Closes#11847
Since there is a recommended version of JDK, it would be helpful to provide a link to the Oracle documentation. Since there are many versions of Java, those that are new or infrequent users of Java would find the link helpful. Thanks!
Closes#11792
we currently don't expose this.
This adds the following to the OS section of `_nodes`:
```
"os": {
"name": "Mac OS X",
...
}
```
and the following to the OS section of `_cluster/stats`:
```
"os": {
...
"names": [
{
"name": "Mac OS X",
"count": 1
}
],
...
},
```
Closes#11807
This is a follow up to #8143 and #6730 for _timestamp. It removes
support for `path`, as well as any field type settings, and
enables docvalues for _timestamp, for 2.0. Users who need to
adjust these settings can use a date field.
Moving the query building functionality from the parser to the builders
new toQuery() method analogous to other recent query refactorings. In
this case this also includes FQueryFilterParser, since both queries are
closely related.
Relates to #10217Closes#11729
This fixes an issue to allow for negative unix timestamps.
An own printer for epochs instead of just having a parser has been added.
Added docs that only 10/13 length unix timestamps are supported
Added docs in upgrade documentation
Fixes#11478
Replace the previous example which leveraged a range filter, which causes unnecessary confusion about when to use a range filter to create a single bucket or a range aggregation with exactly one member in ranges.
Closes#11704
I was unable to get my BulkProcessor script to work without importing the "ByteSizeUnit" and "ByteSizeValue" classes. Perhaps I overlooked something in the example and do not understand its code.
This changes the parameter name `ignore_like` to the more user friendly name
`unlike`. This later feature generates a query from the terms in `A` but not
from the terms in `B`. This translates to a result set which is like `A` but
unlike `B`. We could have further negatively boosted any documents that have
some `B`, but these documents already do not receive any contribution from
having `B`, and would therefore negatively compete with documents having `A`.
Closes#11117
* QueryBuilders.queryString is now QueryBuilders.queryStringQuery
* DateHistogram.Interval is now DateHistogramInterval
* Refactoring of buckets in aggs
* FilterBuilders has been replaced by QueryBuilders
Closes#9976.
Now that doc values are the default for fielddata, specialized in-memory
formats are becoming an esoteric option. This commit removes such formats:
- `fst` on string fields,
- `compressed` on geo points.
I also removed documentation and tests that the fielddata cache is shared if
you change the format, since this is only true for in-memory fielddata formats
(given that for doc values, the caching is done directly in Lucene).
Information about in-progress snapshot and restore processes is not really metadata and should be represented as a part of the cluster state similar to discovery nodes, routing table, and cluster blocks. Since in-progress snapshot and restore information is no longer part of metadata, this refactoring also enables us to handle cluster blocks in more consistent manner and allow creation of snapshots of a read-only cluster.
Closes#8102
Today we provide the ability to plug in MergePolicy and
we provide the once lucene ships with. We do not recommend to change
the default and even only a small number of expert users would ever touch
this. This commit removes the ancient log byte size and log doc count
merge policy providers, simplifies the MergePolicy wiring and makes the
tiered MP the one and only default. All notions of a merge policy has been
removed from the docs and should be deprecated in the previous version.
Closes#11588
While we had initially planned to keep rivers around in 2.0 to ease migration,
keeping support for rivers is challenging as it conflicts with other important
changes that we want to bring to 2.0 like synchronous dynamic mappings updates.
Nothing impossible to fix, but it would increase the complexity of how we
deal with dynamic mappings updates and manage rivers, while handling dynamic
mappings updates correctly is important for resiliency and rivers are on the go.
So removing rivers in 2.0 may well be a better trade-off.
The ResourceWatcher used settings prefixed `watcher.`, which
potentially could clash with the watcher plugin.
In order to prevent confusion, the settings have been renamed to
`resource.reload` prefixes.
This also uses the deprecation logging infrastructure introduced
in #11033 to log deprecated settings and their alternative at
startup.
Closes#11175
There are different ways to register custom query parsers through plugins, a couple of them work per index via index settings, which is probably even too flexible. There also three different ways to add a global custom query parser through either IndicesQueriesModule or IndicesQueriesRegistry. This commit consolidates the registration of custom query parsers via IndicesQueriesModule#addQuery(Class<? extends QueryParser>). The complexity of supporting parsers per index is not needed hence it got removed. Also the other ways of registering global custom parsers are dropped in favour of the one mentioned above.
Closes#11481
In #10918, we introduced the prompt placeholders. These were had a different format
than our existing placeholders. This changes the prompt placeholders to follow the
format of the existing placeholders.
Relates to #11455
Some of our meta fields (such as _id, _version, ...) are returned as top-level
properties of the json document, while other properties (_timestamp, _routing,
...) are returned under `fields`. This commit makes all meta fields returned
as top-level properties.
So eg. `GET test/test/1?fields=_timestamp,foo` would now return
```json
{
"_index": "test",
"_type": "test",
"_id": "1",
"_version": 1,
"_timestamp": 10000000,
"found": true,
"fields": {
"foo": [ "bar" ]
}
}
```
while it used to return
```json
{
"_index": "test",
"_type": "test",
"_id": "1",
"_version": 1,
"found": true,
"fields": {
"_timestamp": 10000000,
"foo": [ "bar" ]
}
}
```
To better distribute the memory allocating to indexing, the IndexingMemoryController periodically checks the different shard for their last indexing activity. If no activity has happened for a while, the controller marks the shards as in active and allocated it's memory buffer budget (but a small minimal budget) to other active shards. The recently added synced flush feature (#11179, #11336) uses this inactivity trigger to attempt as a trigger to attempt adding a sync id marker (which will speed up future recoveries).
We wait for 30m before declaring a shard inactive. However, these days the operation just requires a refresh and is light. We can be stricter (and 5m) increase the chance a synced flush will be triggered.
Closes#11479
This commit changes the date handling. First and foremost Elasticsearch
does not try to convert every date to a unix timestamp first and then
uses the configured date. This now allows for dates like `2015121212` to
be parsed correctly.
Instead it is now explicit by adding a `epoch_second` and `epoch_millis`
date format. This also means, that the default date format now is
`epoch_millis||dateOptionalTime` to remain backwards compatible.
Closes#5328
Relates #10971
Some settings may be considered sensitive, such as passwords, and storing them
in the configuration file on disk is not good from a security perspective. This change
allows settings to have a special value, `${prompt::text}` or `${prompt::secret}`, to
indicate that elasticsearch should prompt the user for the actual value on startup.
This only works when started in the foreground. In cases where elasticsearch is started
as a service or in the background, an exception will be thrown.
Closes#10838
* Cut the `has_child` and `has_parent` queries over to use Lucene's query time global ordinal join. The main benefit of this change is that parent/child queries can now efficiently execute if parent/child queries are wrapped in a bigger boolean query. If the rest of the query only hit a few documents both has_child and has_parent queries don't need to evaluate all parent or child documents any more.
* Cut the `_parent` field over to use doc values. This significantly reduces the on heap memory footprint of parent/child, because the parent id values are never loaded into memory.
Breaking changes:
* The `type` option on the `_parent` field can only point to a parent type that doesn't exist yet, so this means that an existing type/mapping can't become a parent type any longer.
* The `has_child` and `has_parent` queries can no longer be use in alias filters.
All these changes, improvements and breaks in compatibility only apply for indices created with ES version 2.0 or higher. For indices creates with ES <= 2.0 the older implementation is used.
It is highly recommended to re-index all your indices with parent and child documents to benefit from all the improvements that come with this refactoring. The easiest way to achieve this is by using the scan and bulk apis using a simple script.
Closes#6107Closes#8134
This change unifies the way scripts and templates are specified for all instances in the codebase. It builds on the Script class added previously and adds request building and parsing support as well as the ability to transfer script objects between nodes. It also adds a Template class which aims to provide the same functionality for template APIs
Closes#11091
In #11072 we are adding a check that will prevent opening of old indices. However, this check doesn't take into consideration the fact that indices can be made compatible with the current version through upgrade API. In order to make compatibility check aware of the upgrade, the upgrade API should write a new setting `index.version.minimum_compatible` that will indicate the minimum compatible version of lucene this index is compatible with and `index.version.upgraded` that will indicate the version of elasticsearch that performed the upgrade.
Closes#11095
Updated to not mislead the reader that the data is actually gone when a document is updated. For example if you have 100GB of docs and update each one you'll only be able to access 100GB of the data, but there would theoretically be 200GB of doc data.
Closes#10375
The count api used to have its own execution path, although it would do the same (up to bugs!) of the search api. This commit makes it a shortcut to the search api with size set to 0. The change is made in a backwards compatible manner, by leaving all of the java api code around too, given that you may not want to get back a whole SearchResponse when asking only for number of hits matching a query, also cause migrating from countResponse.getCount() to searchResponse.getHits().totalHits() doesn't look great from a user perspective. We can always decide to drop more code around the count api if we want to break backwards compatibility on the java api, making it a shortcut on the rest layer only.
Closes#9117Closes#11198
Add support for a specific deprecation logging that can be used to turn
on in order to notify users of a specific feature, flag, setting,
parameter, ... being deprecated.
The deprecation logger logs with a "deprecation." prefix logge
(or "org.elasticsearch.deprecation." if full name is used), and outputs
the logging to a dedicated deprecation log file.
Deprecation logging are logged under the DEBUG category. The idea is not to
enabled them by default (under WARN or ERROR) when running embedded in
another application.
By default they are turned off (INFO), in order to turn it on, the
"deprecation" category need to be set to DEBUG. This can be set in the
logging file or using the cluster update settings API, see the documentation
Closes#11033
This change adds a new "filter_path" parameter that can be used to filter and reduce the responses returned by the REST API of elasticsearch.
For example, returning only the shards that failed to be optimized:
```
curl -XPOST 'localhost:9200/beer/_optimize?filter_path=_shards.failed'
{"_shards":{"failed":0}}%
```
It supports multiple filters (separated by a comma):
```
curl -XGET 'localhost:9200/_mapping?pretty&filter_path=*.mappings.*.properties.name,*.mappings.*.properties.title'
```
It also supports the YAML response format. Here it returns only the `_id` field of a newly indexed document:
```
curl -XPOST 'localhost:9200/library/book?filter_path=_id' -d '---hello:\n world: 1\n'
---
_id: "AU0j64-b-stVfkvus5-A"
```
It also supports wildcards. Here it returns only the host name of every nodes in the cluster:
```
curl -XGET 'http://localhost:9200/_nodes/stats?filter_path=nodes.*.host*'
{"nodes":{"lvJHed8uQQu4brS-SXKsNA":{"host":"portable"}}}
```
And "**" can be used to include sub fields without knowing the exact path. Here it returns only the Lucene version of every segment:
```
curl 'http://localhost:9200/_segments?pretty&filter_path=indices.**.version'
{
"indices" : {
"beer" : {
"shards" : {
"0" : [ {
"segments" : {
"_0" : {
"version" : "5.2.0"
},
"_1" : {
"version" : "5.2.0"
}
}
} ]
}
}
}
}
```
Note that elasticsearch sometimes returns directly the raw value of a field, like the _source field. If you want to filter _source fields, you should consider combining the already existing _source parameter (see Get API for more details) with the filter_path parameter like this:
```
curl -XGET 'localhost:9200/_search?pretty&filter_path=hits.hits._source&_source=title'
{
"hits" : {
"hits" : [ {
"_source":{"title":"Book #2"}
}, {
"_source":{"title":"Book #1"}
}, {
"_source":{"title":"Book #3"}
} ]
}
}
```
#10032 introduced the notion of sealing an index by marking it with a special read only marker, allowing for a couple of optimization to happen. The most important one was to speed up recoveries of shards where we know nothing has changed since they were online by skipping the file based sync phase. During the implementation we came up with a light notion which achieves the same recovery benefits but without the read only aspects which we dubbed synced flush. The fact that it was light weight and didn't put the index in read only mode, allowed us to do it automatically in the background which has great advantage. However we also felt the need to allow users to manually trigger this operation.
The implementation at #11179 added the sync flush internal logic and the manual (rest) rest API. The name of the API was modeled after the sealing terminology which may end up being confusing. This commit changes the API name to match the internal synced flush naming, namely `{index}/_flush/synced'.
On top of that it contains a couple other changes:
- Remove all java client API. This feature is not supposed to be called programtically by applications but rather by admins.
- Improve rest responses making structure similar to other (flush) API
- Change IndexShard#getOperationsCount to exclude the internal +1 on open shard . it's confusing to get 1 while there are actually no ongoing operations
- Some minor other clean ups
This option is broken currently since it potentially interprets an incoming
binary value as compressed while it just happens that the first bytes are the
same as the LZF header.
Mappings conflicts should not be ignored. If I read the history correctly, this
option was added when a mapping update to an existing field was considered a
conflict, even if the new mapping was exactly the same. Now that mapping updates
are smart enough to detect conflicting options, we don't need an option to
ignore conflicts.
The default `false` for `require_field_match` is a bit odd and confusing for users, given that field names get ignored by default and every field gets highlighted if it contains terms extracted out of the query, regardless of which fields were queries. Changed the default to `true`, it can always be changed per request.
Closes#10627Closes#11067
Our own fork of the lucene PostingsHighlighter is not easy to maintain and doesn't give us any added value at this point. In particular, it was introduced to support the require_field_match option and discrete per value highlighting, used in case one wants to highlight the whole content of a field, but get back one snippet per value. These two features won't
make it into lucene as they slow things down and shouldn't have been supported from day one on our end probably.
One other customization we had was support for a wider range of queries via custom rewrite etc. (yet another way to slow
things down), which got added to lucene and works much much better than what we used to do (instead of or rewrite, term
s are pulled out of the automata for multi term queries).
Removing our fork means the following in terms of features:
- dropped support for require_field_match: the postings highlighter will only highlight fields that were queried
- some custom es queries won't be supported anymore, meaning they won't be highlighted. The only one I found up until now is the phrase_prefix. Postings highlighter rewrites against an empty reader to avoid slow operations (like the ones that we were performing with the fork that we are removing here), thus the prefix will not be expanded to any term. What the postings highlighter does instead is pulling the automata out of multi term queries, but this is not supported at the moment with our MultiPhrasePrefixQuery.
Closes#10625Closes#11077
Most aggregations (terms, histogram, stats, percentiles, geohash-grid) now
support a new `missing` option which defines the value to consider when a
field does not have a value. This can be handy if you eg. want a terms
aggregation to handle the same way documents that have "N/A" or no value
for a `tag` field.
This works in a very similar way to the `missing` option on the `sort`
element.
One known issue is that this option sometimes cannot make the right decision
in the unmapped case: it needs to replace all values with the `missing` value
but might not know what kind of values source should be produced (numerics,
strings, geo points?). For this reason, we might want to add an `unmapped_type`
option in the future like we did for sorting.
Related to #5324
Previously, collate feature would be executed on all shards of an index using the client,
this leads to a deadlock when concurrent collate requests are run from the _search API,
due to the fact that both the external request and internal collate requests use the
same search threadpool.
As phrase suggestions are generated from the terms of the local shard, in most cases the
generated suggestion, which does not yield a hit for the collate query on the local shard
would not yield a hit for collate query on non-local shards.
Instead of using the client for collating suggestions, collate query is executed against
the ContextIndexSearcher. This PR removes the ability to specify a preference for a collate
query, as the collate query is only run on the local shard.
closes#9377
Add methods to operate on multi-valued fields in the expressions language.
Note that users will still not be able to access individual values
within a multi-valued field.
The following methods will be included:
* min
* max
* avg
* median
* count
* sum
Additionally, changes have been made to MultiValueMode to support the
new median method.
closes#11105
These clauses filter the document space without affecting scoring and map to
Lucene's BooleanClause.Occur.FILTER. The `filtered` query is now deprecated and
```json
{
"filtered": {
"query": { //query },
"filter": { //filter }
}
}
```
should be replaced with
```json
{
"bool": {
"must": { //query },
"filter": { //filter }
}
}
```
A few meta fields can currently be set within a document's source.
However, the recommended way to set meta fields like this is through
the api, and setting within the document can be a performance trap
(e.g. needing to find _id in order to route the document).
This change removes the ability to set meta fields within
a document source for 2.0+ indexes.
closes#11051closes#11074
As a follow up to #10870, this removes support for
index templates on disk. It also removes a missed
place still allowing disk based mappings.
closes#11052
Adrien Grand
Jason Tedor
johnpickett
Tanguy Leroux
Jakob Reiter
Christoph Büscher
Zachary Tong
David Pilato
Clinton Gormley
Simon Willnauer
Colin Goodheart-Smithe
Alexander Reelsen
javanna
jhr007
Hakan Özler
Martijn van Groningen
caldwecr
William Li
Ruslan Boyarskiy
Boaz Leskes
jaymode
Isabel Drost-Fromm
Simon Willnauer
David Pursehouse
Carol Willing
Igor Motov
Ryan Ernst
oyiadom
Alex Ksikes
Nirmal Chidambaram
Mark Walkom
Colin Goodheart-Smithe
Steve Kearns
Robin Clarke
Chelsea Lura
Andreas Kohn
Nirmal Chidambaram
gmarz
Lee Hinman
Timur
Areek Zillur
Britta Weber
Ryan Schneider
Alex Chan
Eduardo Gurgel
Nik Everett
Scott Chamberlain
Jun Ohtani
Jack Conradson