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
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.
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.
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
Martijn van Groningen
Colin Goodheart-Smithe
caldwecr
William Li
Ruslan Boyarskiy
Clinton Gormley
Boaz Leskes
Adrien Grand
Christoph Büscher
Alexander Reelsen
Simon Willnauer
David Pursehouse
Carol Willing
Tanguy Leroux
Igor Motov
Ryan Ernst
oyiadom
Alex Ksikes
Simon Willnauer