When specifying a string field, you can either do:
```
{
"foo": "bar"
}
```
or
```
{
"foo": {
"value": "bar",
"boost": 42
}
}
```
The latter option is now removed.
Closes#15388
Removal of the pattern node.addShard() -> calculate weight -> node.removeShard() which is expensive as, beside map lookups, it invalidates caching of precomputed values in ModelNode and ModelIndex. Replaced by adding an additional parameter to the weight function which accounts for the added / removed shard.
An index template for the '.ingest' index is required because:
* We don't want arbitrary fields in pipeline documents, because that can turn into upgrade problems if we add more properties to the pipeline dsl.
* We know what are the usages are of the '.ingest' index, so we can optimize for that and prevent that this index is used for different purposes.
Closes#15001
This removes the backward compatibility layer with pre-2.0 indices, notably
the extraction of _id, _routing or _timestamp from the source document when a
path is defined.
Today when dynamically mapping a field that is already defined in another type,
we use the regular dynamic mapping logic and try to copy some settings to avoid
introducing conflicts. However this is quite fragile as we don't deal with every
existing setting. This proposes a different approach that will just reuse the
shared field type.
Close#15568
FunctionScoreQuery should do two things that it doesn't do today:
- propagate the two-phase iterator from the wrapped scorer so that things are
still executed efficiently eg. if a phrase or geo-distance query is wrapped
- filter out docs that don't have a high enough score using two-phase
iteration: this way the score is only checked when everything else matches
While doing these changes, I noticed that minScore was ignored when scores were
not needed and that explain did not take it into account, so I fixed these
issues as well.
This changes a couple of things:
Mappings are truly immutable. Before, each field mapper stored a
MappedFieldTypeReference that was shared across fields that have the same name
across types. This means that a mapping update could have the side-effect of
changing the field type in other types when updateAllTypes is true. This works
differently now: after a mapping update, a new copy of the mappings is created
in such a way that fields across different types have the same MappedFieldType.
See the new Mapper.updateFieldType API which replaces MappedFieldTypeReference.
DocumentMapper is now immutable and MapperService.merge has been refactored in
such a way that if an exception is thrown while eg. lookup structures are being
updated, then the whole mapping update will be aborted. As a consequence,
FieldTypeLookup's checkCompatibility has been folded into copyAndAddAll.
Synchronization was simplified: given that mappings are truly immutable, we
don't need the read/write lock so that no documents can be parsed while a
mapping update is being processed. Document parsing is not performed under a
lock anymore, and mapping merging uses a simple synchronized block.
Robert Muir
Yannick Welsch
Simon Willnauer
Adrien Grand
Simon Willnauer
Jason Tedor
Martijn van Groningen
socurites
Robert Muir
Alexander Reelsen