- Randomized integration tests for the benchmark API.
- Negative tests for cases where the cluster cannot run benchmarks.
- Return 404 on missing benchmark name.
- Allow to specify 'types' as an array in the JSON syntax when describing a benchmark competition.
- Don't record slowest for single-request competitions.
Closes#6003, #5906, #5903, #5904
Adds a table with the exhaustive list of all available headers with a brief description (mostly from `org.elasticsearch.rest.action.cat.RestNodesAction`) so that people do not need to go searching for them in the code like I did, or search through `nodes?help`.
Significant terms internally maintain a priority queue per shard with a size potentially
lower than the number of terms. This queue uses the score as criterion to determine if
a bucket is kept or not. If many terms with low subsetDF score very high
but the `min_doc_count` is set high, this might result in no terms being
returned because the pq is filled with low frequent terms which are all sorted
out in the end.
This can be avoided by increasing the `shard_size` parameter to a higher value.
However, it is not immediately clear to which value this parameter must be set
because we can not know how many terms with low frequency are scored higher that
the high frequent terms that we are actually interested in.
On the other hand, if there is no routing of docs to shards involved, we can maybe
assume that the documents of classes and also the terms therein are distributed evenly
across shards. In that case it might be easier to not add documents to the pq that have
subsetDF <= `shard_min_doc_count` which can be set to something like
`min_doc_count`/number of shards because we would assume that even when summing up
the subsetDF across shards `min_doc_count` will not be reached.
closes#5998closes#6041
Update `geo-shape-type.asciidoc` to include all `GeoShapeType`s supported by the `org.elasticsearch.common.geo.builders.ShapeBuilder`.
Changes include:
1. A tabular mapping of GeoJSON types to Elasticsearch types
2. Listing all types, with brief examples, for all support Elasticsearch types
3. Putting non-standard types to the bottom (really just moving Envelope to the bottom)
4. Linking to all GeoJSON types.
5. Adding whitespace around tightly nested arrays (particularly `multipolygon`) for readability
The possibility of filtering for index templates in the cluster state API
had been introduced before there was a dedicated index templates API. This
commit removes this support from the cluster state API, as it was not really
clean, requiring you to specify the metadata and the index templates.
Closes#4954
A boost terms factor of 1.0 is not the same as no boosting of terms.
The desired behavior is to deactivate boosting by default. If the user
specifies any value other than 0, then boosting is activated.
Closes#6021
Updating to this version allows to configure a special JNA directory,
in case the /tmp directory is mounted with the noexec option, as JNA
extracts some data and tries to execute parts of it.
Also updated documentation to clarify mlockall and memory settings as well
as pointing to the new jna.tmpdir system property.
Closes#5493
Decay functions currently only use the first value in a field that contains
multiple values to compute the distance to the origin. Instead, it should
consider all distances if more values are in the field and then use
one of min/max/sum/avg which is defined by the user.
Relates to #3960closes#5940
Separate version check logic for reads and writes for all version types, which allows different behavior in these cases.
Change `VersionType.EXTERNAL` & `VersionType.EXTERNAL_GTE` to behave the same as `VersionType.INTERNAL` for read operations.
The previous behavior was fit for writes but is useless in reads.
This commit also makes the usage of `EXTERNAL` & `EXTERNAL_GTE` in the update api raise a validation error as it make cause data to
be lost.
Closes#5663 , Closes#5661, Closes#5929
The current setting of 20MB/sec seems to be too conservative given
the capabilities of modern hardware / network throughput.
A 50MB default should provide better out of the box performance.
Change the default numeric precision_step to 16 for 64-bit types,
8 for 32-bit and 16-bit types. Disable precision_step for the 8-bit
byte type.
Closes#5905
The current setting of 20MB/sec seems to be too conservative given
the capabilities of modern hardware. Even on cloud infrastructure this
seems to be too lowish. A 50MB default should provide better out of the box
performance
Currently we use 5k operations as a flush threshold. Indexing 5k documents
per second is rather common which would cause the index to be committed on
the lucene level each time the flush logic runs which is 5 seconds by default.
We should rather use a size based threshold similar to the lucene index writer
that doesn't cause such agressive commits which can slow down indexing significantly
especially since they cause the underlying devices to fsync their data.
Load tests showed that SerialMS has problems to keep up with
the merges under high load. We should switch back to CMS
until we have a better story to balance merge
threads / efforts across shards on a single node.
Closes#5817
Add an API endpoint at /_bench for submitting, listing, and aborting
search benchmarks. This API can be used for timing search requests,
subject to various user-defined settings.
Benchmark results provide summary and detailed statistics on such
values as min, max, and mean time. Values are reported per-node so that
it is easy to spot outliers. Slow requests are also reported.
Long running benchmarks can be viewed with a GET request, or aborted
with a POST request.
Benchmark results are optionally stored in an index for subsequent
analysis.
Closes#5407
The default precision was way too exact and could lead people to
think that geo context suggestions are not working. This patch now
requires you to set the precision in the mapping, as elasticsearch itself
can never tell exactly, what the required precision for the users
suggestions are.
Closes#5621
The `field_value_factor` function uses the value of a field in the
document to influence the score.
A query that looks like:
{
"query": {
"function_score": {
"query": {"match": { "body": "foo" }},
"functions": [
{
"field_value_factor": {
"field": "popularity",
"factor": 1.1,
"modifier": "square"
}
}
],
"score_mode": "max",
"boost_mode": "sum"
}
}
}
Would have the score modified by:
square(1.1 * doc['popularity'].value)
Closes#5519
allow to configure on the index level which blocks can optionally be applied using tribe.blocks.indices prefix settings.
allow to control what will be done when a conflict is detected on index names coming from several clusters using the tribe.on_conflict setting. Defaults remains "any", but now support also "drop" and "prefer_[tribeName]".
closes#5501
Adds a new API endpoint at /_recovery as well as to the Java API. The
recovery API allows one to see the recovery status of all shards in the
cluster. It will report on percent complete, recovery type, and which
files are copied.
Closes#4637
By default the date_/histogram returns all the buckets within the range of the data itself, that is, the documents with the smallest values (on which with histogram) will determine the min bucket (the bucket with the smallest key) and the documents with the highest values will determine the max bucket (the bucket with the highest key). Often, when when requesting empty buckets (min_doc_count : 0), this causes a confusion, specifically, when the data is also filtered.
To understand why, let's look at an example:
Lets say the you're filtering your request to get all docs from the last month, and in the date_histogram aggs you'd like to slice the data per day. You also specify min_doc_count:0 so that you'd still get empty buckets for those days to which no document belongs. By default, if the first document that fall in this last month also happen to fall on the first day of the **second week** of the month, the date_histogram will **not** return empty buckets for all those days prior to that second week. The reason for that is that by default the histogram aggregations only start building buckets when they encounter documents (hence, missing on all the days of the first week in our example).
With extended_bounds, you now can "force" the histogram aggregations to start building buckets on a specific min values and also keep on building buckets up to a max value (even if there are no documents anymore). Using extended_bounds only makes sense when min_doc_count is 0 (the empty buckets will never be returned if the min_doc_count is greater than 0).
Note that (as the name suggest) extended_bounds is **not** filtering buckets. Meaning, if the min bounds is higher than the values extracted from the documents, the documents will still dictate what the min bucket will be (and the same goes to the extended_bounds.max and the max bucket). For filtering buckets, one should nest the histogram agg under a range filter agg with the appropriate min/max.
Closes#5224
Today, we use ConcurrentMergeScheduler, and this can be painful since it is concurrent on a shard level, with a max of 3 threads doing concurrent merges. If there are several shards being indexed, then there will be a minor explosion of threads trying to do merges, all being throttled by our merge throttling.
Moving to serial merge scheduler will still maintain concurrency of merges across shards, as we have the merge thread pool that schedules those merges. It will just be a serial one on a specific shard.
Also, on serial merge scheduler, we now have a limit of how many merges it will do at one go, so it will let other shards get their fair chance of merging. We use the pending merges on IW to check if merges are needed or not for it.
Note, that if a merge is happening, it will not block due to a sync on the maybeMerge call at indexing (flush) time, since we wrap our merge scheduler with the EnabledMergeScheduler, where maybeMerge is not activated during indexing, only with explicit calls to IW#maybeMerge (see Merges).
closes#5447
If we want to have a full picture of versions running in a cluster, we need to add a `_cat/plugins` endpoint.
Response could look like:
```sh
% curl es2:9200/_cat/plugins?v
node component version type url desc
es1 mapper-attachments 1.7.0 j Adds the attachment type allowing to parse difference attachment formats
es1 lang-javascript 1.4.0 j JavaScript plugin allowing to add javascript scripting support
es1 analysis-smartcn 1.9.0 j Smart Chinese analysis support
es1 marvel 1.1.0 j/s http://localhost:9200/_plugins/marvel Elasticsearch Management & Monitoring
es1 kopf 0.5.3 s http://localhost:9200/_plugins/kopf kopf - simple web administration tool for ElasticSearch
es2 mapper-attachments 2.0.0.RC1 j Adds the attachment type allowing to parse difference attachment formats
es2 lang-javascript 2.0.0.RC1 j JavaScript plugin allowing to add javascript scripting support
es2 analysis-smartcn 2.0.0.RC1 j Smart Chinese analysis support
```
Closes#4824.
Significance is related to the changes in document frequency observed between everyday use in the corpus and
frequency observed in the result set. The asciidocs include extensive details on the applications of this feature.
Closes#5146
This aggregation computes unique term counts using the hyperloglog++ algorithm
which uses linear counting to estimate low cardinalities and hyperloglog on
higher cardinalities.
Since this algorithm works on hashes, it is useful for high-cardinality fields
to store the hash of values directly in the index, which is the purpose of
the new `murmur3` field type. This is less necessary on low-cardinality
string fields because the aggregator is smart enough to only compute the hash
once per unique value per segment thanks to ordinals, or on numeric fields
since hashing them is very fast.
Close#5426
================
This commit extends the `CompletionSuggester` by context
informations. In example such a context informations can
be a simple string representing a category reducing the
suggestions in order to this category.
Three base implementations of these context informations
have been setup in this commit.
- a Category Context
- a Geo Context
All the mapping for these context informations are
specified within a context field in the completion
field that should use this kind of information.
Introduced two levels of randomization for the number of shards (between 1 and 10) when running tests:
1) through the existing random index template, which now sets a random number of shards that is shared across all the indices created in the same test method unless overwritten
2) through `createIndex` and `prepareCreate` methods, similar to what happens using the `indexSettings` method, which changes for every `createIndex` or `prepareCreate` unless overwritten (overwrites index template for what concerns the number of shards)
Added the following facilities to deal with the random number of shards:
- `getNumShards` to retrieve the number of shards of a given existing index, useful when doing comparisons based on the number of shards and we can avoid specifying a static number. The method returns an object containing the number of primaries, number of replicas and the total number of shards for the existing index
- added `assertFailures` that checks that a shard failure happened during a search request, either partial failure or total (all shards failed). Checks also the error code and the error message related to the failure. This is needed as without knowing the number of shards upfront, when simulating errors we can run into either partial (search returns partial results and failures) or total failures (search returns an error)
- added common methods similar to `indexSettings`, to be used in combination with `createIndex` and `prepareCreate` method and explicitly control the second level of randomization: `numberOfShards`, `minimumNumberOfShards` and `maximumNumberOfShards`. Added also `numberOfReplicas` despite the number of replicas is not randomized (default not specified but can be overwritten by tests)
Tests that specified the number of shards have been reviewed and the results follow:
- removed number_of_shards in node settings, ignored anyway as it would be overwritten by both mechanisms above
- remove specific number of shards when not needed
- removed manual shards randomization where present, replaced with ordinary one that's now available
- adapted tests that didn't need a specific number of shards to the new random behaviour
- fixed a couple of test bugs (e.g. 3 levels parent child test could only work on a single shard as the routing key used for grand-children wasn't correct)
- also done some cleanup, shared code through shard size facets and aggs tests and used common methods like `assertAcked`, `ensureGreen`, `refresh`, `flush` and `refreshAndFlush` where possible
- made sure that `indexSettings()` is always used as a basis when using `prepareCreate` to inject specific settings
- converted indexRandom(false, ...) + refresh to indexRandom(true, ...)
Supports sorting on sub-aggs down the current hierarchy. This is supported as long as the aggregation in the specified order path are of a single-bucket type, where the last aggregation in the path points to either a single-bucket aggregation or a metrics one. If it's a single-bucket aggregation, the sort will be applied on the document count in the bucket (i.e. doc_count), and if it is a metrics type, the sort will be applied on the pointed out metric (in case of a single-metric aggregations, such as avg, the sort will be applied on the single metric value)
NOTE: this commit adds a constraint on what should be considered a valid aggregation name. Aggregations names must be alpha-numeric and may contain '-' and '_'.
Closes#5253
Lucene 4.7 supports a setter for the `filler_token` that is
inserted if there are gaps in the token stream. This change exposes
this setting.
Closes#4307
In #4052 we added support for highlighting multi term queries using the postings highlighter. That worked only for top-level queries though, and not for multi term queries that are nested for instance within a bool query, or filtered query, or a constant score query.
The way we make this work is by walking the query structure and temporarily overriding the query rewrite method with a method that allows for multi terms extraction.
Closes#5102
Fixes#5128
Remove java 7 specific Locale functions, add "coming[1.1.0]" to documentation
add LocaleUtils utility class for dealing with Locale functions
Adds support for storing mustache based query templates that can later be filled
with query parameter values at execution time. Templates may be both quoted,
non-quoted and referencing templates stored in config/scripts/*.mustache by file
name.
See docs/reference/query-dsl/queries/template-query.asciidoc for templating
examples.
Implementation detail: mustache itself is being shaded as it depends directly on
guava - so having it marked optional but included in the final distribution
raises chances of version conflicts downstream.
Fixes#4879
It is now possible to specify aliases during index creation:
curl -XPUT 'http://localhost:9200/test' -d '
{
"aliases" : {
"alias1" : {},
"alias2" : {
"filter" : { "term" : {"field":"value"}}
}
}
}'
Closes#4920
In order to be consistent (and because in 1.0 we switched from
parameter driven information to specifzing the metrics as part of the URI)
this patch moves from 'plugin' to 'plugins' in the Nodes Info API.
`cross_fields` attemps to treat fields with the same analysis
configuration as a single field and uses maximum score promotion or
combination of the scores based depending on the `use_dis_max` setting.
By default scores are combined. `cross_fields` can also search across
fields of hetrogenous types for instance if numbers can be part of
the query it makes sense to search also on numeric fields if an analyzer
is provided in the reqeust.
Relates to #2959
* Mostly minor things like typos and grammar stuff
* Some clarifications
* The note on the deprecation was ambiguous. I've removed the problematic part so that it now definitely says it's deprecated
Currently, boosting on `copy_to` is misleading and does not work as originally specified in #4520. Instead of boosting just the terms from the origin field, it boosts the whole destination field. If two fields copy_to a third field, one with a boost of 2 and another with a boost of 3, all the terms in the third field end up with a boost of 6. This was not the intention.
The alternative: to store the boost in a payload for every term, results in poor performance and inflexibility. Instead, users should either (1) query the common field AND the field that requires boosting, or (2) the multi_match query will soon be able to perform term-centric cross-field matching that will allow per-field boosting at query time (coming in 1.1).
By default active, rejected and queue thread statistics are included for the index, bulk and search thread pool.
Other thread statistics of other thread pools can be included via the `h` query string parameter.
Closes#4907
Detects if rescores arrive as an array instead of a plain object. If so
then parse each element of the array as a separate rescore to be executed
one after another. It looks like this:
"rescore" : [ {
"window_size" : 100,
"query" : {
"rescore_query" : {
"match" : {
"field1" : {
"query" : "the quick brown",
"type" : "phrase",
"slop" : 2
}
}
},
"query_weight" : 0.7,
"rescore_query_weight" : 1.2
}
}, {
"window_size" : 10,
"query" : {
"score_mode": "multiply",
"rescore_query" : {
"function_score" : {
"script_score": {
"script": "log10(doc['numeric'].value + 2)"
}
}
}
}
} ]
Rescores as a single object are still supported.
Closes#4748
Removed unused misc.asciidoc file
Added plugins directory to directory layout
Fixed transport.tcp.connect_timeout value to match the code found in NetworkService.TcpSettings
Clarified that phrase query does not preserve order of terms
Clarified merge page
Added instructions on how to build documentation to docs/README
Terms aggregations return up to `size` terms, so up to now, the way to get all
matching terms back was to set `size` to an arbitrary high number that would be
larger than the number of unique terms.
Terms aggregators already made sure to not allocate memory based on the `size`
parameter so this commit mostly consists in making `0` an alias for the
maximum integer value in the TermsParser.
Close#4837
Adds a new FetchSubPhase, FieldDataFieldsFetchSubPhase, which loads the
field data cache for a field and returns an array of values for the
field.
Also removes `doc['<field>']` and `_source.<field>` workaround no longer
needed in field name resolving.
Closes#4492
* Make it clearer that `aggs` is an allowed synomym
for the `aggregations` key
* Fix broken example in for datehistogram, `1.5M` is
not an allowed interval
* Make use of colon before examples consistent
* Fix typos
- Removed "ok": true from response examples
- Added "created" flag to index response examples
- Replaced exists flag with found in delete response examples
* Made GET mappings consistent, supporting
* /{index}/_mappings/{type}
* /{index}/_mapping/{type}
* /_mapping/{type}
* Added "mappings" in the JSON response to align it with other responses
* Made GET warmers consistent, support /{index}/_warmers/{type} and /_warmer, /_warner/{name}
as well as wildcards and _all notation
* Made GET aliases consistent, support /{index}/_aliases/{name} and /_alias, /_aliases/{name}
as well as wildcards and _all notation
* Made GET settings consistent, added /{index}/_setting/{name}, /_settings/{name}
as well as supportings wildcards in settings name
* Returning empty JSON instead of a 404, if a specific warmer/
setting/alias/type is missing
* Added a ton of spec tests for all of the above
* Added a couple of more integration tests for several features
Relates #4071
See issue #4071
PUT options for _mapping:
Single type can now be added with
`[PUT|POST] {index|_all|*|regex|blank}/[_mapping|_mappings]/type`
and
`[PUT|POST] {index|_all|*|regex|blank}/type/[_mapping|_mappings]`
PUT options for _warmer:
PUT with a single warmer can now be done with
`[PUT|POST] {index|_all|*|prefix*|blank}/{type|_all|*|prefix*|blank}/[_warmer|_warmers]/warmer_name`
PUT options for _alias:
Single alias can now be PUT with
`[PUT|POST] {index|_all|*|prefix*|blank}/[_alias|_aliases]/alias`
DELETE options _mapping:
Several mappings can be deleted at once by defining several indices and types with
`[DELETE] /{index}/{type}`
`[DELETE] /{index}/{type}/_mapping`
`[DELETE] /{index}/_mapping/{type}`
where
`index= * | _all | glob pattern | name1, name2, …`
`type= * | _all | glob pattern | name1, name2, …`
Alternatively, the keyword `_mapings` can be used.
DELETE options for _warmer:
Several warmers can be deleted at once by defining several indices and names with
`[DELETE] /{index}/_warmer/{type}`
where
`index= * | _all | glob pattern | name1, name2, …`
`type= * | _all | glob pattern | name1, name2, …`
Alternatively, the keyword `_warmers` can be used.
DELETE options for _alias:
Several aliases can be deleted at once by defining several indices and names with
`[DELETE] /{index}/_alias/{type}`
where
`index= * | _all | glob pattern | name1, name2, …`
`type= * | _all | glob pattern | name1, name2, …`
Alternatively, the keyword `_aliases` can be used.
Fixes#4701. Changes behavior of the snapshot operation. The operation now fails if not all primary shards are available at the beginning of the snapshot operation. The restore operation no longer tries to restore indices with shards that failed or were missing during snapshot operation.
Currently it is possible to index a document as:
```
POST /myindex/mytype/1
{ "foo"...}
```
or as:
```
POST /myindex/mytype/1
{
"mytype": {
"foo"...
}
}
```
This makes indexing non-deterministic and fields can be misinterpreted
as type names.
This changes makes Elasticsearch accept only the first form by default,
ie without the type wrapper. This can be changed by setting
`index.mapping.allow_type_wrapper` to `true`` when creating the index.
Closes#4484
When set to false a new strict mode of parsing is employed which
a) does not permit numbers to be passed as JSON strings in quotes
b) rejects numbers with fractions that are passed to integer, short or long fields.
Closes#4117
Java Builder apis drop old “len” methods in favour of new “length”
Rest APIs support both old “len: and new “length” forms using new ParseField class to a) provide compiler-checked consistency between Builder and Parser classes and
b) a common means of handling deprecated syntax in the DSL.
Documentation and rest specs only document the new “*length” forms
Closes#4083
`standard_html_strip` and `pattern` analyzer support stopwords which are
set to the default `english` stopwords by default. Those analyzers
should not use stopwords by default since they are language neutral
Closes#4699
`min_doc_count` is the minimum number of hits that a term or histogram key
should match in order to appear in the response.
`min_doc_count=0` replaces `compute_empty_buckets` for histograms and will
behave exactly like facets' `all_terms=true` for terms aggregations.
Close#4662
When upgrading to ES 1.0 the existing mappings with a multi-field type automatically get replaced to a core field with the new `fields` option.
If a `multi_field` type-ed field doesn't have a main / default field, a default field will be chosen for the multi fields syntax. The new main field type
will be equal to the first `multi_field` fields' field or type string if no fields have been configured for the `multi_field` field and in both cases
the default index will not be indexed (`index=no` is set on the default field).
If a `multi_field` typed field has a default field, that field will replace the `multi_field` typed field.
Closes to #4521
============
The default unit for measuring distances is *MILES* in most cases. This commit moves ES
over to the *International System of Units* and make it work on a default which relates
to *METERS* . Also the current structures of the `GeoBoundingBox Filter` changed in
order to define the *Bounding* by setting abitrary corners.
Distances
---------
Since the default unit for measuring distances has changed to a default unit
`DistanceUnit.DEFAULT` relating to *meters*, the **REST API** has changed at the
following places:
* `ScriptDocValues.factorDistance()` returns *meters* instead of *miles*
* `ScriptDocValues.factorDistanceWithDefault()` returns *meters* instead of *miles*
* `ScriptDocValues.arcDistance()` returns *meters* instead of *miles*
one might use `ScriptDocValues.arcDistanceInMiles()`
* `ScriptDocValues.arcDistanceWithDefault()` returns *meters* instead of *miles*
* `ScriptDocValues.distance()` returns *meters* instead of *miles*
one might use `ScriptDocValues.distanceInMiles()`
* `ScriptDocValues.distanceWithDefault()` returns *meters* instead of *miles*
one might use `ScriptDocValues.distanceInMilesWithDefault()`
* `GeoDistanceFilter` default unit changes from *kilometers* to *meters*
* `GeoDistanceRangeFilter` default unit changes from *miles* to *meters*
* `GeoDistanceFacet` default unit changes from *miles* to *meters*
Geo Bounding Box Filter
-----------------------
The naming of the GeoBoundingBoxFilter properties allows to set arbitrary corners
(see #4084) namely `top_right`, `top_left`, `bottom_right` and `bottom_left`. This
change also includes the fields `topRight` and `bottomLeft` Also it is be possible to
set the single values by using just `top`, `bottom`, `left` and `right` parameters.
Closes#4515, #4084
Also changes the response format of that section to:
```
"open_file_descriptors": {
"min": 200,
"max": 346,
"avg": 273
}
```
Closes#4681
Note: this is an aggregate of 3 commits in the 0.90 branch
A lot of different API's currently use different names for the
same logical parameter. Since lucene moved away from the notion
of a `similarity` and now uses an `fuzziness` we should generalize
this and encapsulate the generation, parsing and creation of these
settings across all queries.
This commit adds a new `Fuzziness` class that handles the renaming
and generalization in a backwards compatible manner.
This commit also added a ParseField class to better support deprecated
Query DSL parameters
The ParseField class allows specifying parameger that have been deprecated.
Those parameters can be more easily tracked and removed in future version.
This also allows to run queries in `strict` mode per index to throw
exceptions if a query is executed with deprected keys.
Closes#4082
`allocation.disable_new_allocation`, `allocation.disable_allocation`, `allocation.disable_replica_allocation`,
in favour for the enable allocation decider which has a single option `allocation.enable` wich can be set to the following values:
`none`, `new_primaries`, `primaries` and `all` (default).
Closes#4488
The new internal get index settings api is more efficient when it comes to sending the index settings from the master to the client via the
Also the get index settings support now all the indices options.
Closes#4620
The FVH was throwing away some boosts on queries stopping a number of
ways to boost phrase matches to the top of the list of fragments from
working.
The plain highlighter also doesn't work for this but that is because it
doesn't support the concept of the same term having a different score at
different positions.
Also update documentation claiming that FHV is nicer for weighing terms
found by query combinations.
Closes#4351
Important: This breaks backwards compatibility with 0.90
* Removed endpoints: /_cluster/nodes, /_cluster/nodes/nodeId1,nodeId2
* Disallow usage of parameters, but make required metrics part of URI
* Changed NodesInfoRequest to return everything by default
* Fixed NPE in NodesInfoResponse
Closes#4055
Instead of specifying what kind of data should be filtered, this commit
streamlines the API to actually specify, what kind of data should be displayed.
This makes its behaviour similar to the other requests, like NodeIndicesStats.
A small feature has been added as well: If you specify an index to select on, not
only the metadata, but also the routing tables are filtered by index in order
to prevent too big cluster states to be returned.
Also the CAT apis have been changed to only return the wanted data in order to keep
network traffic as small as needed.
Tests for the cluster state API filtering have been added as well.
Note: This change breaks backwards compatibility with 0.90!
Closes#4065
Added a long-based representation of GeoHashes to GeoHashUtils for fast evaluation in aggregations.
The new BucketUtils provides a common heuristic for determining the number of results to obtain from each shard in "top N" type requests.
* Clean up s/ElasticSearch/Elasticsearch on docs/*
* Clean up s/ElasticSearch/Elasticsearch on src/* bin/* & pom.xml
* Clean up s/ElasticSearch/Elasticsearch on NOTICE.txt and README.textile
Closes#4634
Andrew Selden
mikemccand
uboness
Chris Earle
Britta Weber
Richard Boulton
violuke
Clinton Gormley
Keiji Yoshida
Matthieu Bacconnier
Benjamin Devèze
Audrey
Kevin Wang
gabriel-tessier
Radu Gheorghe
Ali Bozorgkhan
Adrien Grand
Alexander Reelsen
Alex Ksikes
Holger Hoffstätte
Martijn van Groningen
Binh Ly
Robert Muir
Simon Willnauer
javanna
Lee Hinman
Boaz Leskes
Uwe Dauernheim
Benoss
Robert Muir
Samuel Molinari
David Pilato
Xiao Yu
Christoph Frick
Igor Motov
Kouhei Sutou
Scott Wilkerson
eliasah
Yousef
Peter Dyson
Malte Schirnacher
Sean Gallagher
Nik Everett
Costin Leau
Andrew O'Brien
wittyameta
Karl Meisterheim
Hannes Korte
Alex Brasetvik
Shay Banon
Jun Ohtani
Florian Schilling
markharwood
Randy Stauner
lzhoucs
Justin Etheredge
rphadake
Kurt Hurtado
Andrew Raines
Konrad Feldmeier
Brusic
James Brook
Zachary Tong
hura
Isabel Drost-Fromm
Lars Francke
Brian Yoder
Oleg Anashkin
James Yu
Mihnea Dobrescu-Balaur
Karel Minarik
Florian Gilcher
Dawid Weiss
Andy Goldstein
Alexander Reelsen
Benjamin Vetter
LightGuard