Eventually, the field type should not need any names, because there
will be only one name which leads to finding it (the full name, which is
also the index name). However, the short or "simple" name (using java
terminology for class names) is needed just in a couple places, for
serialization.
This change moves the simple name out of MappedFieldType.Names, into
Mapper, and makes Mapper and FieldMapper abstract classes.
Following the discussion in #11744, move boost and query _name to base class AbstractQueryBuilder with their getters and setters. Unify their serialization code and equals/hashcode handling in the base class too. This guarantess that every query supports both _name and boost and nothing needs to be done around those in subclasses besides properly parsing the fields in the parsers and printing them out as part of the doXContent method in the builders. More specifically, these are the performed changes:
- Introduced printBoostAndQueryName utility method in AbstractQueryBuilder that subclasses can use to print out _name and boost in their doXContent method.
- readFrom and writeTo are now final methods that take care of _name and boost serialization. Subclasses have to implement doReadFrom and doWriteTo instead.
- toQuery is a final method too that takes care of properly applying _name and boost to the lucene query. Subclasses have to implement doToQuery instead. The query returned will have boost and queryName applied automatically.
- Removed BoostableQueryBuilder interface, given that every query is boostable after this change. This won't have any negative effect on filters, as the boost simply gets ignored in that case.
- Extended equals and hashcode to handle queryName and boost automatically as well.
- Update the query test infra so that queryName and boost are tested automatically, and whenever they are forgotten in parser or doXContent tests fail, so this makes things a lot less error-prone
- Introduced DEFAULT_BOOST constant to make sure we don't repeat 1.0f all the time for default boost values.
SpanQueryBuilder is again a marker interface only. The convenient toQuery that allowed us to override the return type to SpanQuery cannot be supported anymore due to a clash with the toQuery implementation from AbstractQueryBuilder. We have to go back to castin lucene Query to SpanQuery when dealing with span queries unfortunately.
Note that this change touches not only the already refactored queries but also the untouched ones, by making sure that we parse _name and boost whenever we need to and that we print them out as part of QueryBuilder#doXContent. This will result in printing out the default boost all the time rather than skipping it in non refactored queries, something that we would have changed anyway as part of the query refactoring.
The following are the queries that support boost now while previously they didn't (parser now parses it and builder prints it out): and, exists, fquery, geo_bounding_box, geo_distance, geo_distance_range, geo_hash_cell, geo_polygon, indices, limit, missing, not, or, script, type.
The following are the queries that support _name now while previously they didn't (parser now parses it and builder prints it out): boosting, constant_score, function_score, limit, match_all, type.
Range query parser supports now _name at the same level as boost too (_name is still supported on the outer object though for bw comp).
There are two exceptions that despite have getters and setters for queryName and boost don't really support boost and queryName: query filter and span multi term query. The reason for this is that they only support a single inner object which is another query that they wrap, no other elements.
Relates to #11744Closes#10776Closes#11974
Today we loose the RestStatus code for non-serializable exceptions.
This can be tricky if they are supposed to signal certain situations
like authentication errors etc. This commit adds support for carrying on
the exceptions in the NotSerializableExceptoinWrapper
The filters aggregation now has an option to add an 'other' bucket which will, when turned on, contain all documents which do not match any of the defined filters. There is also an option to change the name of the 'other' bucket from the default of '_other_'
Closes#11289
This change means that when the skip gap policy is used, the bucket script aggregation will skip executing the script on a bucket if any of the required bucket_paths are missing for the bucket. No aggregation will be added to the bucket, and the aggregation will move to the next bucket.
This commit changes the postrm script so that it prints error messages instead of failing & exiting when the deletion of a directory failed while removing a RPM/DEB package.
Closes#11373
This allows a lot of null checks to be removed where we were always falling back to the ValueFormat.RAW anyway. Now the format is set to ValueFormat.RAW when no alternative is suitable.
Closes#10594
Field stats index constraints allows to omit all field stats for indices that don't match with the constraint. An index
constraint can exclude indices' field stats based on the `min_value` and `max_value` statistic. This option is only
useful if the `level` option is set to `indices`.
For example index constraints can be useful to find out the min and max value of a particular property of your data in
a time based scenario. The following request only returns field stats for the `answer_count` property for indices
holding questions created in the year 2014:
curl -XPOST 'http://localhost:9200/_field_stats?level=indices' -d '{
"fields" : ["answer_count"] <1>
"index_constraints" : { <2>
"creation_date" : { <3>
"min_value" : { <4>
"gte" : "2014-01-01T00:00:00.000Z",
},
"max_value" : {
"lt" : "2015-01-01T00:00:00.000Z"
}
}
}
}'
Closes#11187
"Root" is a very confusing term for meta field mappers. This change
renames "RootMapper" to "MetadataFieldMapper" and simplifies
how metadata mappers are setup.
It also requires that metadata mappers are now a FieldMapper
(MetadataFieldMapper extends from AbstractFieldMapper). The only
use of a root mapper that wasn't a field mapper was the theoretical
"external" root mapper (just a test mapper). But it doesn't make
sense to not have an actual field, and this falls inline with
the hopefully eventual collapsing of AbstractFieldMapper/FieldMapper/Mapper.
- shard listing actions underpinning shard allocation do not have access to that new node yet (causing errors during shard allocation see #11923
- the very first cluster state published to a node already has shard assignments to it. This surfaced other issues we are working to fix separately
This commit changes the reroute to be done post processing the initial join cluster state to side step these issues while we work on a longer term solution.
Closes#11960
We had several problems with Java Serializatin in the past. At some point
in the Java 1.7.x series JDKs where not compatible anymore when java
serialization (ObjectStream) was used to exchange objects. In elasticsearch
we used this to serialize exceptions across the wire which caused several problems
with incompatible JDKs. While causing lot of trouble this essentially prevented
users from moving forward and upgrade their JVMs. To prevent these kind of issues
this commit removes the dependency on java serialization entirely and bans the
usage of ObjectOutputStream and ObjectInputStream entirely.
Yet, we can't fully serialize all exception anymore such that this commit
is best effort and adds hand written serialization to all elasticsearch exceptions
as well to a selected set of JDK and Lucene exceptions. (see StreamOutput#writeThrowable /
StreamInput.readThrowable). Stacktraces should be preserved for all exceptions while
several names might be replaced with ElasticsearchException if there is no mapping for
the given exception.
Added validation for all inner queries that any already refactored query may hold. Added also tests around this. At the end of the refactoring validate will be called by SearchRequest#validate during TransportSearchAction execution, which will call validate against the top level query builder that will need to go and validate its data plus all of its inner queries, and so on.
Closes#11889
In order to support older RPM based distributions like CentOS5,
we should have one RPM available, which is not signed.
This commit creates an unsigned RPM first, then moves it over to
target/releases during the build, then builds a signed RPM.
The unsigned one is uploaded via S3, where as the signed one is
used for the repositories.
In addition, you can now build an RPM without having to specify
any gpg credentials due to offloading this into a maven profile
that is only activated when specifying `rpm.sign` property.
Closes#11587