This makes all numeric fields including `date`, `ip` and `token_count` use
points instead of the inverted index as a lookup structure. This is expected
to perform worse for exact queries, but faster for range queries. It also
requires less storage.
Notes about how the change works:
- Numeric mappers have been split into a legacy version that is essentially
the current mapper, and a new version that uses points, eg.
LegacyDateFieldMapper and DateFieldMapper.
- Since new and old fields have the same names, the decision about which one
to use is made based on the index creation version.
- If you try to force using a legacy field on a new index or a field that uses
points on an old index, you will get an exception.
- IP addresses now support IPv6 via Lucene's InetAddressPoint and store them
in SORTED_SET doc values using the same encoding (fixed length of 16 bytes
and sortable).
- The internal MappedFieldType that is stored by the new mappers does not have
any of the points-related properties set. Instead, it keeps setting the index
options when parsing the `index` property of mappings and does
`if (fieldType.indexOptions() != IndexOptions.NONE) { // add point field }`
when parsing documents.
Known issues that won't fix:
- You can't use numeric fields in significant terms aggregations anymore since
this requires document frequencies, which points do not record.
- Term queries on numeric fields will now return constant scores instead of
giving better scores to the rare values.
Known issues that we could work around (in follow-up PRs, this one is too large
already):
- Range queries on `ip` addresses only work if both the lower and upper bounds
are inclusive (exclusive bounds are not exposed in Lucene). We could either
decide to implement it, or drop range support entirely and tell users to
query subnets using the CIDR notation instead.
- Since IP addresses now use a different representation for doc values,
aggregations will fail when running a terms aggregation on an ip field on a
list of indices that contains both pre-5.0 and 5.0 indices.
- The ip range aggregation does not work on the new ip field. We need to either
implement range aggs for SORTED_SET doc values or drop support for ip ranges
and tell users to use filters instead. #17700Closes#16751Closes#17007Closes#11513
When we pass down both parser and QueryParseContext to a method, we cannot
make sure that the parser contained in the context and the parser that is
parsed as an argument have the same state. This removes the parser argument
from methods where we currently have both the parser and the parse context
as arguments and instead retrieves the parse from the context inside the
method.
* Inner hits can now only be provided and prepared via setter in the nested, has_child and has_parent query.
* Also made `score_mode` a required constructor parameter.
* Moved has_child's min_child/max_children validation from doToQuery(...) to a setter.
This commit removes `MappedFieldType.value` and simplifies
`MappedFieldType.valueforSearch`. `valueforSearch` was used to post-process
values that come for stored fields (eg. to convert a long back to a string
representation of a date in the case of a date field) and also values that
are extracted from the source but only in the case of GET calls: it would
not be called when performing source filtering on search requests.
`valueforSearch` is now only called for stored fields, since values that are
extracted from the source should already be formatted as expected.
In both cases, what elasticsearch is really interested in is whether the field
is an analyzed string field. So it can just check `tokenized()` instead.
* upgrades numerics to new Point format
* updates geo api changes
* adds GeoPointDistanceRangeQuery as XGeoPointDistanceRangeQuery
* cuts over to ES GeoHashUtils
We have both `Settings.settingsBuilder` and `Settings.builder` that do exactly
the same thing, so we should keep only one. I kept `Settings.builder` since it
has my preference but also it is the one that we use in examples of the Java API.
Because sigma is also used at reduce time, it should be passed to empty aggs.
Otherwise it causes bugs when an empty aggregation is used to perform reduction
is it would assume a sigma of zero.
Closes#17362
This removes PROTOTYPEs from ScoreFunctionsBuilders. To do so we rework
registration so it doesn't need PROTOTYPEs and lines up with the recent
changes to query registration.
FieldStatsProvider had to perform instanceof calls to properly handle dates or
ip addresses. By moving the logic to MappedFieldType, each field type can check
whether all values are within bounds its way.
Note that this commit only keeps rewriting support for dates, which are the only
field for which the rewriting mechanism is likely to help (because of time-based
indices).
BulkByScrollTaskTest#testDelayAndRethrottle was getting rejected exceptions
every once in a while. This was reproducible ~20% of the time for me. I
added a CyclicBarrier to prevent the test from shutting down the thread pool
before the threads get finished.
This allows the user to update the reindex throttle on the fly, with changes
that speed up the throttling being applied immediately and changes that
slow down the throttling being applied during the next batch. This means
that if a user throttles reindex in such a way that it tries to sleep for
16 years and then realizes that they've done something wrong then they
can change the throttle and reindex will wake up again. We don't apply
slow downs immediately so we never get in danger of losing the scan context.
Also, if reindex is canceled while it is sleeping (how it honor throttling)
then it'll immediately wake up and cancel itself.
`text` fields will have fielddata disabled by default. Fielddata can still be
enabled on an existing index by setting `fielddata=true` in the mappings.
If a terms aggregation was ordered by a metric nested in a single bucket aggregator which did not collect any documents (e.g. a filters aggregation which did not match in that term bucket) an ArrayOutOfBoundsException would be thrown when the ordering code tried to retrieve the value for the metric. This fix fixes all numeric metric aggregators so they return their default value when a bucket ordinal is requested which was not collected.
Closes#17225
readFrom is confusing because it requires an instance of the type that it
is reading but it doesn't modify it. But we also have (deprecated) methods
named readFrom that *do* modify the instance. The "right" way to implement
the non-modifying readFrom is to delegate to a constructor that takes a
StreamInput so that the read object can be immutable. Now that we have
`@FunctionalInterface`s it is fairly easy to register things by referring
directly to the constructor.
This change modifying NamedWriteableRegistry so that it does that. It keeps
supporting `registerPrototype` which registers objects to be read by
readFrom but deprecates it and delegates it to a new `register` method
that allows passing a simple functional interface. It also cuts Task.Status
subclasses over to using that method.
The start of #17085
The test was checking that we'd set the headers properly but in some cases
the request had yet to come in because it was running on another thread.
Now we wait for the headers to show up before failing the test.
Closes#17299
If the user asks for a refresh but their reindex or update-by-query
operation touched no indexes we should just skip the resfresh call
entirely. Without this commit we refresh *all* indexes which is totally
wrong.
Closes#17296
The fielddata settings in mappings have been refatored so that:
- text and string have a `fielddata` (boolean) setting that tells whether it
is ok to load in-memory fielddata. It is true by default for now but the
plan is to make it default to false for text fields.
- text and string have a `fielddata_frequency_filter` which contains the same
thing as `fielddata.filter.frequency` used to (but validated at parsing time
instead of being unchecked settings)
- regex fielddata filtering is not supported anymore and will be dropped from
mappings automatically on upgrade.
- text, string and _parent fields have an `eager_global_ordinals` (boolean)
setting that tells whether to load global ordinals eagerly on refresh.
- in-memory fielddata is not supported on keyword fields anymore at all.
- the `fielddata` setting is not supported on other fields that text and string
and will be dropped when upgrading if specified.
Currently, both Gsub and Grok parse regex strings during
Pipeline creation. Thrown parsing exceptions were leaking out, this
commit wraps those exceptions in ElasticsearchParseExceptions.
Adrien Grand
Christoph Büscher
Martijn van Groningen
Nik Everett
javanna
Jack Conradson
Camilo Diaz Repka
Tal Levy
Clinton Gormley
Colin Goodheart-Smithe
Jim Ferenczi
Areek Zillur