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
Currently, boosting on `copy_to` is misleading and does not work as originally specified in #4520. Instead of boosting just the terms from the origin field, it boosts the whole destination field. If two fields copy_to a third field, one with a boost of 2 and another with a boost of 3, all the terms in the third field end up with a boost of 6. This was not the intention.
The alternative: to store the boost in a payload for every term, results in poor performance and inflexibility. Instead, users should either (1) query the common field AND the field that requires boosting, or (2) the multi_match query will soon be able to perform term-centric cross-field matching that will allow per-field boosting at query time (coming in 1.1).
Removed unused misc.asciidoc file
Added plugins directory to directory layout
Fixed transport.tcp.connect_timeout value to match the code found in NetworkService.TcpSettings
Clarified that phrase query does not preserve order of terms
Clarified merge page
Added instructions on how to build documentation to docs/README
When set to false a new strict mode of parsing is employed which
a) does not permit numbers to be passed as JSON strings in quotes
b) rejects numbers with fractions that are passed to integer, short or long fields.
Closes#4117
When upgrading to ES 1.0 the existing mappings with a multi-field type automatically get replaced to a core field with the new `fields` option.
If a `multi_field` type-ed field doesn't have a main / default field, a default field will be chosen for the multi fields syntax. The new main field type
will be equal to the first `multi_field` fields' field or type string if no fields have been configured for the `multi_field` field and in both cases
the default index will not be indexed (`index=no` is set on the default field).
If a `multi_field` typed field has a default field, that field will replace the `multi_field` typed field.
Closes to #4521
* Clean up s/ElasticSearch/Elasticsearch on docs/*
* Clean up s/ElasticSearch/Elasticsearch on src/* bin/* & pom.xml
* Clean up s/ElasticSearch/Elasticsearch on NOTICE.txt and README.textile
Closes#4634
Norms can be eagerly loaded on a per-field basis by setting norms.loading to
`eager` instead of the default `lazy`:
```
"my_string_field" : {
"type": "string",
"norms": {
"loading": "eager"
}
}
```
In case this behavior should be applied to all fields, it is possible to change
the default value by setting `index.norms.loading` to `eager`.
Close#4079
David Pilato
Lee Hinman
Simon Willnauer
Konrad Feldmeier
Nik Everett
Clinton Gormley
hanneskaeufler
Adrien Grand
Steve Fuller
gseng
Rob Young
Itamar Syn-Hershko
Radu Gheorghe
pickypg
Kevin Wang
Robert Muir
eliasah
Yousef
Igor Motov
Jun Ohtani
Martijn van Groningen
James Yu
Brusic
markharwood