Do this by creating a Client subclass that automatically assigns the
parentTask to all requests that come through it. Code that doesn't want
to set the parentTask can call `unwrap` on the Client to get the inner
client instance that doesn't set the parentTask. Reindex uses this for
its ClearScrollRequest so that the request will run properly after the
reindex request has been canceled.
Now that the current uses of magical camelCase support have been
deprecated, we can remove these in master (sans remaining issues like
BulkRequest). This change removes camel case support from ParseField,
query types, analysis, and settings lookup.
see #8988
Callers should explicitly handle parents - either using EMPTY_TASK_ID when
a parent isn't possible or piping parents from the TransportRequest when
possible.
This change cleans up a few things in QueryParseContext and QueryShardContext
that make it hard to reason about the state of these context objects and are
thus error prone and should be simplified.
Currently the parser that used in QueryParseContext can be set and reset any
time from the outside, which makes reasoning about it hard. This change makes
the parser a mandatory constructor argument removes ability to later set a
different ParseFieldMatcher. If none is provided at construction time, the
one set inside the parser is used. If a ParseFieldMatcher is specified at
construction time, it is implicitely set on the parser that is beeing used.
The ParseFieldMatcher is only kept inside the parser.
Also currently the QueryShardContext historically holds an inner QueryParseContext
(in the super class QueryRewriteContext), that is mainly used to hold the parser
and parseFieldMatcher. For that reason, the parser can also be reset, which leads
to the same problems as above. This change removes the QueryParseContext from
QueryRewriteContext and removes the ability to reset or retrieve it from the
QueryShardContext. Instead, `QueryRewriteContext#newParseContext(parser)` can be
used to create new parse contexts with the given parser from a shard context
when needed.
Currently we are able to set a ParseFieldMatcher on XContentParsers,
mainly to conveniently carry it around to be available where the
actual parsing happens. This was just recently introduced together
with ObjectParser so that ObjectParser can make use of deprecation
logging and throwing errors while parsing.
This however is trappy because we create parsers in so many places in
the code and it is easy to forget setting the right ParseFieldMatcher.
Instead we should hold the ParseFieldMatcher only in the parse contexts
(e.g. QueryParseContext).
This PR removes the ParseFieldMatcher from XContentParser. ObjectParser
can still make use of it because we can make the otherwise unbounded
`context` type to extend an interface that makes sure contexts used in
ObjectParser can supply a ParseFieldMatcher. Contexts in ObjectParser
are now no longer optional, but it is sufficient to pass in a small
lambda expression in places where no other context is available.
Relates to #17417
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
Robert Muir
Martijn van Groningen
Ryan Ernst
Nik Everett
Isabel Drost-Fromm
Christoph Büscher
Adrien Grand
javanna
Jack Conradson
Camilo Diaz Repka
Tal Levy
Clinton Gormley
Colin Goodheart-Smithe