In 2.0 we began restricting fields to not contains dots in their names.
This change adds back part of dots in fieldnames support. Specifically,
it allows indexing documents that contain dots in the field names, when
the correct corresponding mappers exist. For example, if mappings
contain an object field `foo`, and a subfield `bar`, then indexing a
document with `foo.bar` will work.
see #15951
The checkstyle configuration files were being accessed as resources within the project and
being converted from a URL to a File by gradle. This works when the build tools project is being
referenced as a local project. However, when using the published jar the URL points to a resource
in the jar file, that URL cannot be converted to a File object and causes the build to fail.
This change copies the files into a `checkstyle` directory in the project build folder and always uses
File objects pointing to the copied files.
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
This commit contains the following improvements/fixes:
1. Renaming method names and variables to better reflect the purpose
of the method and the semantics of the variable.
2. For deleting indexes, replace the closed parameter passed to the
delete index/store methods with obtaining the index's state from the
IndexSettings that is already passed in.
3. Added tests to the IndexWithShadowReplicaIT suite, some of which
show issues in the shadow replica delete process that are captured in
Github issue 17695.
Closes#17638
When we pass both XContentParser and QueryParseContext to a method this can be trappy because
we cannot make sure that the parser contained in the context and the parser passed as an argument
are the same.
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.
The change adds a new option to the geo_* queries: ignore_unmapped. If this option is set to false, the toQuery method on the QueryBuilder will throw an exception if the field specified in the query is unmapped. If the option is set to true, the toQuery method on the QueryBuilder will return a MatchNoDocsQuery. The default value is false so the queries work how they do today (throwing an exception on unmapped field)
It's use tempted the creation of PROTOTYPEs. The only classes that
legitimately implement a readFrom method are those extending from
Diffable - such behavior is part of cluster state management and
out of scope for the PROTOTYPE cleanup.
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.
Since OpenJDK virtual machines have G1 GC but do not have a java.vm.name
that contains HotSpot, this test fails on OpenJDK. Instead, the
java.vm.name condition should be expanded to include OpenJDK virtual
machines.
* 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 adds a simple test that JvmInfo is correctly able to
determine whether or not G1 GC is running. As the JvmInfo G1 GC logic is
only applies to HotSpot, the test is constructed to do the same. The
test determines whether or not G1 GC is running by inspecting the test
JVM argument line.
The change adds a new option to the `nested`, `has_parent`, `has_children` and `parent_id` queries: `ignore_unmapped`. If this option is set to false, the `toQuery` method on the QueryBuilder will throw an exception if the type/path specified in the query is unmapped. If the option is set to true, the `toQuery` method on the QueryBuilder will return a MatchNoDocsQuery. The default value is `false`so the queries work how they do today (throwing an exception on unmapped paths/types)
With the previous breaker limit spurious failures on transport level
can happen in the test. With the new limit we ensure that the breaker
breaks due to a too large HTTP request instead.
Previously the sigma variable in the `extended_stats_bucket` pipeline aggregation was not being serialised in `ExtendedStatsBucketPipelineAggregator`. This PR fixes that.
It also corrects the initial value of sumOfSquares to be 0.
Closes#17701
This commit simplifies the default JVM options that ship with
Elasticsearch. In particular, expert settings that were previously
configurable via environment variables have been removed from the
default configuration file. Further, the heap size settings have been
moved to the top of the file with a clearer message that is in
concordance with their importance.
Closes#17714
#14259 added a check to honor rebalancing policies (i.e., rebalance only on green state) when moving shards due to changes in allocation filtering rules. The rebalancing policy is there to make sure that we don't try to even out the number of shards per node when we are still missing shards. However, it should not interfere with explicit user commands (allocation filtering) or things like the disk threshold wanting to move shards because of a node hitting the high water mark.
#14259 was done to address #14057 where people reported that using allocation filtering caused many shards to be moved at once. This is however a none issue - with 1.7 (where the issue was reported) and 2.x, we protect recovery source nodes by limitting the number of concurrent data streams they can open (i.e., we can have many recoveries, but they will be throttled). In 5.0 we came up with a simpler and more understandable approach where we have a hard limit on the number of outgoing recoveries per node (on top of the incoming recoveries we already had).
Ryan Ernst
jaymode
Nik Everett
Adrien Grand
Colin Goodheart-Smithe
Ali Beyad
Christoph Büscher
Jason Tedor
Yannick Welsch
Martijn van Groningen
Daniel Mitterdorfer
Clinton Gormley
Sergii Golubev
Lee Hinman
Boaz Leskes