--------------------------
This feature allows to retrieve [term vectors](https://github.com/elasticsearch/elasticsearch/issues/3114) for a list of documents. The json request has exactly the same [format](https://github.com/elasticsearch/elasticsearch/issues/3484) as the ```_termvectors``` endpoint
It use it, call
```
curl -XGET 'http://localhost:9200/index/type/_mtermvectors' -d '{
"fields": [
"field1",
"field2",
...
],
"ids": [
"docId1",
"docId2",
...
],
"offsets": false|true,
"payloads": false|true,
"positions": false|true,
"term_statistics": false|true,
"field_statistics": false|true
}'
```
The return format is an array, each entry of which conatins the term vector response for one document:
```
{
"docs": [
{
"_index": "index",
"_type": "type",
"_id": "docId1",
"_version": 1,
"exists": true,
"term_vectors": {
...
}
},
{
"_index": "index",
"_type": "type",
"_id": "docId2",
"_version": 1,
"exists": true,
"term_vectors": {
...
}
}
]
}
```
Note that, like term vectors, the mult term vectors request will silenty skip over documents that have no term vectors stored in the index and will simply return an empty response in this case.
Closes#3536
Currently we run unittests with clusters running in the background
that can potentiallly spawn threads causeing the thread leak control
to fire off in tests that don't use the test cluster. This commit
introduces some base classes for that purpose shadowning lucene test
framework classes adding the approriate ThreadScope.
always multiply query score to function score. For script score
functions, this means that boost_mode has to be set to `plain` if
'function_score' should behave like 'custom_score'
This commit fixes inconsistencies in `function_score` and `filters_function_score`
using scripts, see issue #3464
The method 'ScoreFunction.factor(docId)' is removed completely, since the name
suggests that this method actually computes a factor which was not the case.
Multiplying the computed score is now handled by 'FiltersFunctionScoreQuery'
and 'FunctionScoreQuery' and not implicitely performed in
'ScoreFunction.factor(docId, subQueryScore)' as was the case for 'BoostScoreFunction'
and 'DecayScoreFunctions'.
This commit also fixes the explain function for FiltersFunctionScoreQuery. Here,
the influence of the maxBoost was never printed. Furthermore, the queryBoost was
printed as beeing multiplied to the filter score.
Closes#3464
There is no need to write the pidfile in the bin/elasticsearchshell script
as this happens already in the java code.
Also cleaning up the bin/elasticsearch shell script a bit (no need to return
an error code when exec is called, as this forks and exits the shell script
immediately).
Closes#3529Closes#1745
This looks like a copy/paste issue where onCached was being called
rather than onRemoval. This should fix the ID cache stats not being
correct after a call to /_cache/clear?id_cache=true
During segment merges FieldConsumers for all fields from the source
segments are created. Yet, if all documents that have a value in a
certain field are deleted / pruned during the merge the FieldConsumer
will not be called at all causing the internally used FST Builder to
return `null` from it's `build()` method. This means we can't store
it and run potentially into a NPE. This commit adds handling for
this corner case both during merge and during suggest phase since
we also don't have a Lookup instance for this segments field.
Closes#3555
We use number of processors to choose default thread pool sizes, and number of workers in networking (for HTTP and transport). Bound it to max at 32 by default as a safety measure to create too many threads.
This relates to #3478, where we set the default to 24, but 32 is probably a better default.
closes#3545
Terminate phrase searches early if max phrase window is exceeded in
FastVectorHighlighter to prevent very long running phrase
extraction if phrase terms are high frequent. See LUCENE-5182
Closes#3543