In some cases we need to parse some XContent that is already parsed into
a map. This is currently happening in handling source in SQL and ingest
processors as well as parsing null_value values in geo mappings. To avoid
re-serializing and parsing the value again or writing another map-based
parser this commit adds an iterator that iterates over a map as if it was
XContent. This makes reusing existing XContent parser on maps possible.
Relates to #43554
This PR proposes to model big integers as longs (and big decimals as doubles)
in the context of dynamic mappings.
Previously, the dynamic mapping logic did not recognize big integers or
decimals, and would an error of the form "No matching token for number_type
[BIG_INTEGER]" when a dynamic big integer was encountered. It now accepts these
numeric types and interprets them as 'long' and 'double' respectively. This
allows `dynamic_templates` to accept and and remap them as another type such as
`keyword` or `scaled_float`.
Addresses #37846.
ObjectParser has two ways of dealing with unknown fields: ignore them entirely,
or throw an error. Sometimes it can be useful instead to gather up these unknown
fields and record them separately, for example as arbitrary entries in a map.
This commit adds the ability to specify an unknown field consumer on an ObjectParser,
called with the field name and parsed value of each unknown field encountered during
parsing. The public API of ObjectParser is largely unchanged, with a single new
constructor method and interface definition.
hamcrest has some improvements in newer versions, like FileMatchers
that make assertions regarding file exists cleaner. This commit upgrades
to the latest version of hamcrest so we can start using new and improved
matchers.
When geo point parsing threw a parse exception, it did not consume
remaining tokens from the parser. This in turn meant that
indexing documents with malformed geo points into mappings with
ignore_malformed=true would fail in some cases, since DocumentParser
expects geo_point parsing to end on the END_OBJECT token.
Related to #17617
Today if you try and insert a very large number like `1e9999999` into a long
field we first construct this number as a `BigDecimal`, convert this to a
`BigInteger` and then reject it because it is out of range. Unfortunately
making such a large `BigInteger` is rather expensive.
We can avoid this expense by performing a (weaker) range check on the
`BigDecimal` representation of incoming `long`s too.
Relates #26137Closes#40323
* Remove empty statements
There are a couple of instances of undocumented empty statements all across the
code base. While they are mostly harmless, they make the code hard to read and
are potentially error-prone. Removing most of these instances and marking blocks
that look empty by intention as such.
* Change test, slightly more verbose but less confusing
This commit changes the format of the `hits.total` in the search response to be an object with
a `value` and a `relation`. The `value` indicates the number of hits that match the query and the
`relation` indicates whether the number is accurate (in which case the relation is equals to `eq`)
or a lower bound of the total (in which case it is equals to `gte`).
This change also adds a parameter called `rest_total_hits_as_int` that can be used in the
search APIs to opt out from this change (retrieve the total hits as a number in the rest response).
Note that currently all search responses are accurate (`track_total_hits: true`) or they don't contain
`hits.total` (`track_total_hits: true`). We'll add a way to get a lower bound of the total hits in a
follow up (to allow numbers to be passed to `track_total_hits`).
Relates #33028
Adds an XContent sub parser class that can to wrap another
XContent parser at the beginning of an object and allow skiping
all children in case of the parsing failure. It also uses this
subparser to ignore the rest of the GeoJson shape if the
parsing fails and we need to ignore the geoshape due to the
ignore_malformed flag.
Supersedes #34498Closes#34047
Adds checks for misbehaving parsers. The checks aren't perfect at all but
they are simple and fast enough that we can do them all the time so
they'll catch most badly behaving parsers.
Closes#34351
With this commit we cleanup hand-coded duplicate checks in XContent
parsing. They were necessary previously but since we reconfigured the
underlying parser in #22073 and #22225, these checks are obsolete and
were also ineffective unless an undocumented system property has been
set. As we also remove this escape hatch, we can remove the additional
checks as well.
Closes#22253
Relates #34588
Although we allow to index BigInteger and BigDecimal into a keyword
field, source filtering on these fields would fail
as XContentBuilder was not able to deserialize BigInteger and BigDecimal
to json.
This modifies XContentBuilder to allow to handle BigInteger and
BigDecimal.
Closes#32395
This change cleans up "unused variable" warnings. There are several cases were we
most likely want to suppress the warnings (especially in the client documentation test
where the snippets contain many unused variables). In a lot of cases the unused
variables can just be deleted though.
Today content type detection on an input stream works by peeking up to
twenty bytes into the stream. If the stream is headed by more whitespace
than twenty bytes, we might fail to detect the content type. We should
be ignoring this whitespace before attempting to detect the content
type. This commit does that by ignoring all leading whitespace in an
input stream before attempting to guess the content type.
This change adds Expected Reciprocal Rank (ERR) as a ranking evaluation metric
as descriped in:
Chapelle, O., Metlzer, D., Zhang, Y., & Grinspan, P. (2009).
Expected reciprocal rank for graded relevance.
Proceeding of the 18th ACM Conference on Information and Knowledge Management.
https://doi.org/10.1145/1645953.1646033
ERR is an extension of the classical reciprocal rank to the graded relevance
case and assumes a cascade browsing model. It quantifies the usefulness of a
document at rank `i` conditioned on the degree of relevance of the items at ranks
less than `i`. ERR seems to be gain traction as an alternative to (n)DCG, so it
seems like a good metric to support. Also ERR seems to be the default optimization
metric used for training in RankLib, a widely used learning to rank library.
Relates to #29653
This is the first x-pack API we're adding to the high level REST client
so there is a lot to talk about here!
= Open source
The *client* for these APIs is open source. We're taking the previously
Elastic licensed files used for the `Request` and `Response` objects and
relicensing them under the Apache 2 license.
The implementation of these features is staying under the Elastic
license. This lines up with how the rest of the Elasticsearch language
clients work.
= Location of the new files
We're moving all of the `Request` and `Response` objects that we're
relicensing to the `x-pack/protocol` directory. We're adding a copy of
the Apache 2 license to the root fo the `x-pack/protocol` directory to
line up with the language in the root `LICENSE.txt` file. All files in
this directory will have the Apache 2 license header as well. We don't
want there to be any confusion. Even though the files are under the
`x-pack` directory, they are Apache 2 licensed.
We chose this particular directory layout because it keeps the X-Pack
stuff together and easier to think about.
= Location of the API in the REST client
We've been following the layout of the rest-api-spec files for other
APIs and we plan to do this for the X-Pack APIs with one exception:
we're dropping the `xpack` from the name of most of the APIs. So
`xpack.graph.explore` will become `graph().explore()` and
`xpack.license.get` will become `license().get()`.
`xpack.info` and `xpack.usage` are special here though because they
don't belong to any proper category. For now I'm just calling
`xpack.info` `xPackInfo()` and intend to call usage `xPackUsage` though
I'm not convinced that this is the final name for them. But it does get
us started.
= Jars, jars everywhere!
This change makes the `xpack:protocol` project a `compile` scoped
dependency of the `x-pack:plugin:core` and `client:rest-high-level`
projects. I intend to keep it a compile scoped dependency of
`x-pack:plugin:core` but I intend to bundle the contents of the protocol
jar into the `client:rest-high-level` jar in a follow up. This change
has grown large enough at this point.
In that followup I'll address javadoc issues as well.
= Breaking-Java
This breaks that transport client by a few classes around. We've
traditionally been ok with doing this to the transport client.
ObjectParser should throw XContentParseExceptions, not IAE. A dedicated parsing
exception can includes the place where the error occurred.
Closes#30605
* Move ObjectParser into the x-content lib
This moves `ObjectParser`, `AbstractObjectParser`, and
`ConstructingObjectParser` into the libs/x-content dependency. This decoupling
allows them to be used for parsing for projects that don't want to depend on the
entire Elasticsearch jar.
Relates to #28504
* Begin moving XContent to a separate lib/artifact
This commit moves a large portion of the XContent code from the `server` project
to the `libs/xcontent` project. For the pieces that have been moved, some
helpers have been duplicated to allow them to be decoupled from ES helper
classes. In addition, `Booleans` and `CheckedFunction` have been moved to the
`elasticsearch-core` project.
This decoupling is a move so that we can eventually make things like the
high-level REST client not rely on the entire ES jar, only the parts it needs.
There are some pieces that are still not decoupled, in particular some of the
XContent tests still remain in the server project, this is because they test a
large portion of the pluggable xcontent pieces through
`XContentElasticsearchException`. They may be decoupled in future work.
Additionally, there may be more piecese that we want to move to the xcontent lib
in the future that are not part of this PR, this is a starting point.
Relates to #28504
Tanguy Leroux
Igor Motov
Przemysław Witek
sandmannn
Julie Tibshirani
Albert Zaharovits
Mark Vieira
Alan Woodward
Ryan Ernst
Henning Andersen
David Turner
Mayya Sharipova
Christoph Büscher
Alpar Torok
Jim Ferenczi
Alan Woodward
Nik Everett
Daniel Mitterdorfer
Armin Braun
Jason Tedor
Lee Hinman
Adrien Grand