This change makes ES compile with java9 again, build 118.
* There are a handful of changes due to failure to determine types during compile.
* The attachment plugins which use tika needed to have tika upgraded in order to pickup fixes there for java 9.
* azure discovery and s3 repository indirectly depend on jaxb, which is no longer in the default modules. They now add a jaxb dependency externally, and make JarHell allow for this package.
Previously multiple extensions could be provided, however, this can lead
to confusion with on-disk scripts (ie, "foo.js" and "foo.javascript")
having different content. Only a single extension is now supported.
The only language currently supporting multiple extensions was the
Javascript engine ("js" and "javascript"). It now only supports the
`.js` extension.
Relates to #10598
This removes all the mentions of the sandbox from the script engine
services and permissions model. This means that the following settings
are no longer supported:
```yaml
script.inline: sandbox
script.stored: sandbox
```
Instead, only a `true` or `false` value can be specified.
Since this would otherwise break the default-allow parameter for
languages like expressions, painless, and mustache, all script engines
have been updated to have individual settings, for instance:
```yaml
script.engine.groovy.inline: true
```
Would enable all inline scripts for groovy. (they can still be
overridden on a per-operation basis).
Expressions, Painless, and Mustache all default to `true` for inline,
file, and stored scripts to preserve the old scripting behavior.
Resolves#17114
We add support to explicitly exclude specific transport actions
from the request size limit check.
We also exclude the following request types currently:
*MasterPingRequest
* PingRequest
Most of the current implementations of BaseNodesResponse (plural Nodes) ignore FailedNodeExceptions.
- This adds a helper function to do the grouping to TransportNodesAction
- Requires a non-null array of FailedNodeExceptions within the BaseNodesResponse constructor
- Reads/writes the array to output
- Also adds StreamInput and StreamOutput methods for generically reading and writing arrays
QueryBuilder has generics, but those are never used: all call sites use
`QueryBuilder<?>`. Only `AbstractQueryBuilder` needs generics so that the base
class can contain a default implementation for setters that returns `this`.
This commit introduces a handshake when initiating a light
connection. During this handshake, node information, cluster name, and
version are received from the target node of the connection. This
information can be used to immediately validate that the target node is
a member of the same cluster, and used to set the version on the
stream. This will allow us to extend APIs that are used during initial
cluster recovery without a major version change.
Relates #15971
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
* 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.
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.
`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
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.
Also replaced the PercolatorQueryRegistry with the new PercolatorQueryCache.
The PercolatorFieldMapper stores the rewritten form of each percolator query's xcontext
in a binary doc values field. This make sure that the query rewrite happens only during
indexing (some queries for example fetch shapes, terms in remote indices) and
the speed up the loading of the queries in the percolator query cache.
Because the percolator now works inside the search infrastructure a number of features
(sorting fields, pagination, fetch features) are available out of the box.
The following feature requests are automatically implemented via this refactoring:
Closes#10741Closes#7297Closes#13176Closes#13978Closes#11264Closes#10741Closes#4317
Today we allow to set all kinds of index level settings on the node level which
is error prone and difficult to get right in a consistent manner.
For instance if some analyzers are setup in a yaml config file some nodes might
not have these analyzers and then index creation fails.
Nevertheless, this change allows some selected settings to be specified on a node level
for instance:
* `index.codec` which is used in a hot/cold node architecture and it's value is really per node or per index
* `index.store.fs.fs_lock` which is also dependent on the filesystem a node uses
All other index level setting must be specified on the index level. For existing clusters the index must be closed
and all settings must be updated via the API on each of the indices.
Closes#16799
Without this commit fetching the status of a reindex from a node that isn't
coordinating the reindex will fail. This commit properly registers reindex's
status so this doesn't happen. To do so it moves all task status registration
into NetworkModule and creates a method to register other statuses which the
reindex plugin calls.
