* 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
Meta fields were locked down to not allow exotic options to the
underlying field types in #8143. This change fixes the docs
to no longer refer to the old settings.
closes#10879
This commit makes queries and filters parsed the same way using the
QueryParser abstraction. This allowed to remove duplicate code that we had
for similar queries/filters such as `range`, `prefix` or `term`.
Getting this to work would be a lot of work (creating two different
repositories, having another GPG key, integrating this into our build).
Closes#6498
Removes the More Like This API, users should now use the More Like This query.
The MLT API tests were converted to their query equivalent. Also some clean
ups in MLT tests.
Closes#10736Closes#11003
Previously, we were using the "statistical", technically accurate name. Instead, we
should probably use the name that people are familiar with, e.g. "Holt Winters" instead
of "triple exponential". To that end:
- `single_exp` becomes `ewma` (exponentially weighted moving average)
- `double_exp` becomes `holt`
When the `triple_exp` is added, it will be called `holt_winters`.
Current features (eg. update API) and future features (eg. reindex API)
depend on _source. This change locks down the field so that
it can no longer be disabled. It also removes legacy settings
compress/compress_threshold.
closes#8142closes#10915
This change removes the multiple implementations of different admin interfaces and centralizes it with AbstractClient. It also makes sure *all* executions of actions now go through a single AbstractClient#execute method, taking care of copying headers and wrapping listener.
This also has the side benefit of removing all the code around differnet possible clients, and removes quite a bit of code (most of the + code is actually removal of generics and such).
This change also changes how TransportClient is constructed, requiring a Builder to create it, its a breaking change and its noted in the migration guide.
Yea another step towards simplifying the action infra and making it simpler...
This removes Elasticsearch's filter cache and uses Lucene's instead. It has some
implications:
- custom cache keys (`_cache_key`) are unsupported
- decisions are made internally and can't be overridden by users ('_cache`)
- not only filters can be cached but also all queries that do not need scores
- parent/child queries can now be cached, however cached entries are only
valid for the current top-level reader so in practice it will likely only
be used on read-only indices
- the cache deduplicates filters, which plays nicer with large keys (eg. `terms`)
- better stats: we already had ram usage and evictions, but now also hit count,
miss count, lookup count, number of cached doc id sets and current number of
doc id sets in the cache
- dynamically changing the filter cache size is not supported anymore
Internally, an important change is that it removes the NoCacheFilter infrastructure
in favour of making Query.rewrite specializing the query for the current reader so
that it will only be cached on this reader (look for IndexCacheableQuery).
Note that consuming filters with the query API (createWeight/scorer) instead of
the filter API (getDocIdSet) is important for parent/child queries because
otherwise a QueryWrapperFilter(ParentQuery) would run the wrapped query per
segment while relations might be cross segments.
Martijn van Groningen
Areek Zillur
Colin Goodheart-Smithe
Britta Weber
Igor Motov
Zachary Tong
Alexander Reelsen
Boaz Leskes
Tanguy Leroux
javanna
Ryan Schneider
Alex Chan
Eduardo Gurgel
Clinton Gormley
Nik Everett
Adrien Grand
Colin Goodheart-Smithe
Lee Hinman
Simon Willnauer
Scott Chamberlain
Jun Ohtani
Jack Conradson
Ryan Ernst
Andrew Selden
josephwolnskipn
Alex Ksikes
Pascal Borreli
aleph-zero
Shay Banon
Matt Weber
Clément Salaün
Robert Muir
Mikael Mattsson