ObjectParser allows you to declare a set of required fields, such that at least one
of the set must appear in an xcontent object for it to be valid. This commit adds
the similar concept of a set of exclusive fields, such that at most one of the set
must be present. It also enables required fields on ConstructingObjectParser, and
re-implements PercolateQueryBuilder.fromXContent() to use object parsing as
an example of how this works.
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
ConstructingObjectParser can be used to specify required fields,
but it is still difficult to configure "sets" of fields where only
one of the set is required (requiring hand-rolled logic in each
ConstructingObjectParser, or adding special validation methods
to objects that are called after building the object).
This commit adds a new method on ObjectParser which allows
the parsers to register required sets. E.g. ["foo", "bar"] can be
registered, which means "foo", "bar" or both must be configured
by the user otherwise an exception is thrown.
This pattern crops up in many places in our parsers; a good example are
the aggregation "field" and "script" fields. One or both must be
configured on all aggregations, omitting both should result in an exception.
This was previously handled far downstream resulting in an aggregation
exception, when it should be a parse exception.
When you declare an ObjectParser with top level named objects like we do
with `significant_terms` we didn't support "did you mean". This fixes
that.
Relates #50938
Check it out:
```
$ curl -u elastic:password -HContent-Type:application/json -XPOST localhost:9200/test/_update/foo?pretty -d'{
"dac": {}
}'
{
"error" : {
"root_cause" : [
{
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
}
],
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
},
"status" : 400
}
```
The tricky thing about implementing this is that x-content doesn't
depend on Lucene. So this works by creating an extension point for the
error message using SPI. Elasticsearch's server module provides the
"spell checking" implementation.
s
We *very* commonly have object with ctors like:
```
public Foo(String name)
```
And then declare a bunch of setters on the object. Every aggregation
works like this, for example. This change teaches `ObjectParser` how to
build these aggregations all on its own, without any help. This'll make
it much cleaner to parse aggs, and, probably, a bunch of other things.
It'll let us remove lots of wrapping. I've used this new power for the
`avg` aggregation just to prove that it works outside of a unit test.
This adds support for "collapsed" named object to `ObjectParser`. In
particular, this supports the sort of xcontent that we use to specify
significance heuristics. See #25519 and this example:
```
GET /_search
{
"query" : {
"terms" : {"force" : [ "British Transport Police" ]}
},
"aggregations" : {
"significant_crime_types" : {
"significant_terms" : {
"field" : "crime_type",
"mutual_information" : { <<------- This is the name
"include_negatives": true
}
}
}
}
}
```
I believe there are a couple of things that work this way.
I've held off on moving the actual parsing of the significant heuristics
to this code to keep the review more compact. The moving is pretty
mechanical stuff in the aggs framework.
The elasticsearch-node tools allow manipulating the on-disk cluster state. The tool is currently
unaware of plugins and will therefore drop custom metadata from the cluster state once the
state is written out again (as it skips over the custom metadata that it can't read). This commit
preserves unknown customs when editing on-disk metadata through the elasticsearch-node
command-line tools.
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
Backport of #48448. Make a number of changes so that code in the libs and
modules directories are more resilient to automatic formatting. This covers:
* Remove string concatenation where JSON fits on a single line
* Move some comments around to they aren't auto-formatted to a strange
place
* Remove eclipse conditionals
We used to have some meta projects with a `-test` prefix because
historically eclipse could not distinguish between test and main
source-sets and could only use a single classpath.
This is no longer the case for the past few Eclipse versions.
This PR adds the necessary configuration to correctly categorize source
folders and libraries.
With this change eclipse can import projects, and the visibility rules
are correct e.x. auto compete doesn't offer classes from test code or
`testCompile` dependencies when editing classes in `main`.
Unfortunately the cyclic dependency detection in Eclipse doesn't seem to
take the difference between test and non test source sets into account,
but since we are checking this in Gradle anyhow, it's safe to set to
`warning` in the settings. Unfortunately there is no setting to ignore
it.
This might cause problems when building since Eclipse will probably not
know the right order to build things in so more wirk might be necesarry.
* Follow up to #44949
* Stop using a special code path for multi-line JSON and instead handle its detection like that of other XContent types when creating the request
* Only leave a single path that holds a reference to the full REST request
* In the next step we can move the copying of request content to happen before the actual request handling and make it conditional on the handler in question to stop copying bulk requests as suggested in #44564
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
Mark Vieira
Jason Tedor
David Kyle
Alan Woodward
Nik Everett
Zachary Tong
Yannick Welsch
Rory Hunter
Alpar Torok
Armin Braun
Tanguy Leroux
Igor Motov
Przemysław Witek
sandmannn
Julie Tibshirani
Albert Zaharovits
Ryan Ernst
Henning Andersen
David Turner
Mayya Sharipova
Christoph Büscher
Jim Ferenczi
Alan Woodward
Daniel Mitterdorfer
Lee Hinman
Adrien Grand