Storing `_timestamp` by default means that under the default configuration, you
would have all the information you need in order to reindex into a different
index.
Close#8139
It is strange to provide an example with `"store" : false` when talking about possibility of enabling the field to be stored.
Broke the line in the mapping in two lines for better readability.
More verbose sentence above the mapping.
Closes#7894
This documentation was dangerous because it felt like it was possible to gain
substantial performance by just switching the codec of the index.
However, non-default codecs are dangerous to use since they are not supported
in terms of backward compatibility, and most improvements that they bring have
been folded into the default codec anyway (for example, the default codec
"pulses" postings lists that contain a single document).
Index process fails when having `_timestamp` enabled and `path` option is set.
It fails with a `TimestampParsingException[failed to parse timestamp [null]]` message.
Reproduction:
```
DELETE test
PUT test
{
"mappings": {
"test": {
"_timestamp" : {
"enabled" : "yes",
"path" : "post_date"
}
}
}
}
PUT test/test/1
{
"foo": "bar"
}
```
You can define a default value for when timestamp is not provided
within the index request or in the `_source` document.
By default, the default value is `now` which means the date the document was processed by the indexing chain.
You can disable that default value by setting `default` to `null`. It means that `timestamp` is mandatory:
```
{
"tweet" : {
"_timestamp" : {
"enabled" : true,
"default" : null
}
}
}
```
If you don't provide any timestamp value, indexation will fail.
You can also set the default value to any date respecting timestamp format:
```
{
"tweet" : {
"_timestamp" : {
"enabled" : true,
"format" : "YYYY-MM-dd",
"default" : "1970-01-01"
}
}
}
```
If you don't provide any timestamp value, indexation will fail.
Closes#4718.
Closes#7036.
The `exists` and `missing` filters need to merge postings lists of all existing
terms, which can be very costly, especially on high-cardinality fields. This
commit indexes the field names of a document under `_field_names` and reuses it
to speed up the `exists` and `missing` filters.
This is only enabled for indices that are created on or after Elasticsearch
1.3.0.
Close#5659
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
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 `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
Adrien Grand
Ryan Grimm
Sergii Golubev
Son
Colin Goodheart-Smithe
Clinton Gormley
Martijn van Groningen
Peter Johnson @insertcoffee
Britta Weber
Elie A
David Pilato
Lee Hinman
Simon Willnauer
Konrad Feldmeier
Nik Everett
hanneskaeufler
Steve Fuller
gseng
Rob Young
Itamar Syn-Hershko
Radu Gheorghe
pickypg
Kevin Wang
Robert Muir
Yousef
Igor Motov
Jun Ohtani
James Yu