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 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
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
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
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
AND and OR filter docs talk about different targets for the operators. I
believe that both should be described in terms of modifying other 'filters'.
I also added articles for easier (human) parsing. This fixes#4762Closes#7165
Filters and Queries now supports `time_zone` parameter which defines which time zone should be applied to the query or filter to convert it to UTC time based value.
When applied on `date` fields the `range` filter and queries accept also a `time_zone` parameter.
The `time_zone` parameter will be applied to your input lower and upper bounds and will move them to UTC time based date:
[source,js]
--------------------------------------------------
{
"constant_score": {
"filter": {
"range" : {
"born" : {
"gte": "2012-01-01",
"lte": "now",
"time_zone": "+1:00"
}
}
}
}
}
{
"range" : {
"born" : {
"gte": "2012-01-01",
"lte": "now",
"time_zone": "+1:00"
}
}
}
--------------------------------------------------
In the above examples, `gte` will be actually moved to `2011-12-31T23:00:00` UTC date.
NOTE: if you give a date with a timezone explicitly defined and use the `time_zone` parameter, `time_zone` will be
ignored. For example, setting `from` to `2012-01-01T00:00:00+01:00` with `"time_zone":"+10:00"` will still use `+01:00` time zone.
Closes#3729.
For the casual reader, the reference to "term queries" may be glossed over, yielding an unexpected result when using `regexp` queries.
This attempts to make that distinction more prominent.
Closes#6698
If the match query with cutoff_frequency encounters stacked tokens,
like synonyms in the same position, it returns a boolean query instead
of a common terms query. However, if the original operator was set
to "and", it was ignoring that and resetting the operator to "or".
In fact, if operator is "and" then there is little benefit in using
a common terms query as a must query is already
executed efficiently.
