This commit does the following:
* Add the new API at the rest layer, being backed by the optimize API
with upgrade flag, and segments api to find upgrade status.
* Add `upgrade` flag to optimize API, and deprecate `force` flag (will
remove in master)
* Add test for both synchronous and async upgrade
closes#7884closes#7922
When the date format is defined in mapping, you can not use another format when querying using range date query or filter.
For example, this won't work:
```
DELETE /test
PUT /test/t/1
{
"date": "2014-01-01"
}
GET /test/_search
{
"query": {
"filtered": {
"filter": {
"range": {
"date": {
"from": "01/01/2014"
}
}
}
}
}
}
```
It causes:
```
Caused by: org.elasticsearch.ElasticsearchParseException: failed to parse date field [01/01/2014], tried both date format [dateOptionalTime], and timestamp number
```
It could be nice if we can support at query time another date format just like we support `analyzer` at search time on String fields.
Something like:
```
GET /test/_search
{
"query": {
"filtered": {
"filter": {
"range": {
"date": {
"from": "01/01/2014",
"format": "dd/MM/yyyy"
}
}
}
}
}
}
```
Same for queries:
```
GET /test/_search
{
"query": {
"range": {
"date": {
"from": "01/01/2014",
"format": "dd/MM/yyyy"
}
}
}
}
```
Closes#7189.
This change removes the script_type parameter form the Scripted Metric Aggregation and adds support for _file and _id suffixes to the init_script, map_script, combine_script and reduce_script parameters to make defining the source of the script consistent with the other APIs which use the ScriptService
This adds a `per_field_analyzer` parameter to the Term Vectors API, which
allows to override the default analyzer at the field. If the field already
stores term vectors, then they will be re-generated. Since the MLT Query uses
the Term Vectors API under its hood, this commits also adds the same ability
to the MLT Query, thereby allowing users to fine grain how each field item
should be processed and analyzed.
Closes#7801
By default term vectors are now realtime, as opposed to previously near
realtime. If they are not found in the index, they will be generated on the
fly. The document is fetched from the transaction log and treated as an
artificial document. One can set `realtime` parameter to `false` in order to
disable this functionality. This consequently makes the MLT query realtime in
fetching documents, as it previsouly used to be before switching from using
the multi get API to the mtv API.
Closes#7846
Previously, the only way to specify a document not present in the index was to
use `like_text`. This would usually lead to complex queries made of multiple
MLT queries per document field. This commit adds the ability to the MLT query
to directly specify documents not present in the index (artificial documents).
The syntax is similar to the Percolator API or to the Multi Term Vector API.
Closes#7725
The minimum number of optional should clauses of the generated query to match
can now be set using the more extensive minimum should match syntax. This
makes the `percent_terms_to_match` parameter deprecated, and replaced in favor
to a new `minimum_should_match` parameter.
Closes#7898
On the page http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-synonym-tokenfilter.html
even on a huge monitor the text is being wrapped the next way
```
mapping:
ipod, i-pod, i pod => ipod, i-pod, i pod
mapping:
ipod, i-pod, i pod => ipod
```
So one can think that "mapping:" is not in comment and is a part of syntax. But the lines are less than 80 chars, so perhaps the problem is in the page layout and there may be some other pages in the reference where the text is also being wrapped in an undesirable way.
Closes#7739
Today, when executing an action (mainly when using the Java API), a listener threaded flag can be set to true in order to execute the listener on a different thread pool. Today, this thread pool is the generic thread pool, which is cached. This can create problems for Java clients (mainly) around potential thread explosion.
Introduce a new thread pool called listener, that is fixed sized and defaults to the half the cores maxed at 10, and use it where listeners are executed.
relates to #5152closes#7837
The parameter `percent_terms_to_match` (percentage of terms that must match in
the generated query) was wrongly set to the top level boolean query. This
would lead to zero or all results type of situations. This commit ensures that
the parameter is indeed applied to the query of generated terms.
Closes#7754
From the version 1.0 FilterBuilders and QueryBuilders are not part from org.elasticsearch.index.query.xcontent package no more.
Closes#7701.
(cherry picked from commit 32d4200)
When using the DiskThresholdDecider, it's possible that shards could
already be marked as relocating to the node being evaluated. This commit
adds a new setting `cluster.routing.allocation.disk.include_relocations`
which adds the size of the shards currently being relocated to this node
to the node's used disk space.
This new option defaults to `true`, however it's possible to
over-estimate the usage for a node if the relocation is already
partially complete, for instance:
A node with a 10gb shard that's 45% of the way through a relocation
would add 10gb + (.45 * 10) = 14.5gb to the node's disk usage before
examining the watermarks to see if a new shard can be allocated.
Fixes#7753
Relates to #6168
Changes the name of the field in the scripted metrics aggregation from 'aggregation' to 'value' to be more in line with the other metrics aggregations like 'avg'
The terms aggregation can now support sorting on multiple criteria by replacing the sort object with an array or sort object whose order signifies the priority of the sort. The existing syntax for sorting on a single criteria also still works.
Contributes to #6917
Replaces #7588
Returns information about settings, aliases, warmers, and mappings. Basically returns the IndexMetadata. This new endpoint replaces the /{index}/_alias|_aliases|_mapping|_mappings|_settings|_warmer|_warmers and /_alias|_aliases|_mapping|_mappings|_settings|_warmer|_warmers endpoints whilst maintaining the same response formats. The only exception to this is on the /_alias|_aliases|_warmer|_warmers endpoint which will now return a section for 'aliases' or 'warmers' even if no aliases or warmers exist. This backwards compatibility change is documented in the reference docs.
Closes#4069
The terms aggregation can now support sorting on multiple criteria by replacing the sort object with an array or sort object whose order signifies the priority of the sort. The existing syntax for sorting on a single criteria also still works.
Contributes to #6917
BlobContainer used to provide async APIs which are not used
internally. The implementation of these APIs are also not async
by nature and neither is any of the pluggable BlobContainers. This
commit simplifies the API to a simple input / output stream and
reduces the hierarchy of BlobContainer dramatically.
NOTE: This is a breaking change!
Closes#7551
This adds the ability to the Term Vector API to generate term vectors for
artifical documents, that is for documents not present in the index. Following
a similar syntax to the Percolator API, a new 'doc' parameter is used, instead
of '_id', that specifies the document of interest. The parameters '_index' and
'_type' determine the mapping and therefore analyzers to apply to each value
field.
Closes#7530
Aggregations are collection-wide statistics, which is incompatible with the
collection mode of search_type=SCAN since it doesn't collect all matches on
calls to the search API.
Close#7429
Aggregations are collection-wide statistics so they would always be the same.
In order to save CPU/bandwidth, we can just return them on the first page.
Same as #1642 but for aggregations.
RandomScoreFunction previously relied on the order the documents were
iterated in from Lucene. This caused changes in ordering, with the same
seed, if documents moved to different segments. With this change, a
murmur32 hash of the _uid for each document is used as the "random"
value. Also, the hash is adjusted so as to only return values between
0.0 and 1.0 to enable easier manipulation to fit into users' scoring
models.
closes#6907, #7446
Items with no specified field now defaults to all the possible fields from the
document source. Previously, we had required 'fields' to be specified either
as a top level parameter or for each item. The default behavior is now similar
to the MLT API.
Closes#7382
The term vector API can now generate term vectors on the fly, if the terms are
not already stored in the index. This commit exploits this new functionality
for the MLT query. Now the terms are directly retrieved using multi-
termvectors API, instead of generating them from the texts retrieved using the
multi-get API.
Closes#7014
Ryan Ernst
Igor Motov
David Pilato
Colin Goodheart-Smithe
Alex Ksikes
Clinton Gormley
Martijn van Groningen
Paul Pearcy
Jake Buob
HenrikOssipoff
Christian Verkerk
Thom Dixon
mdzor
Sergii Golubev
Cristiano Fontes
corochoone
Shay Banon
nandakishore15
Zachary Wasserman
Elie A
Lee Hinman
Jordan Snodgrass
markharwood
Ulrich Reffle
Nik Everett
Adrien Grand
smayzak
ansj
Alexander Reelsen
Joao Duarte
Tanvir Alam
pachanta
Dominik Surowiecki
shrinidhichaudhari
Simon Willnauer
Robert Muir
mikemccand
Britta Weber
londocr
Peter Johnson @insertcoffee
Greg Marzouka