In Elasticsearch 5.0.0, by default unquoted field names in JSON will be
rejected. This can cause issues, however, for documents that were
already indexed with unquoted field names. To alleviate this, a system
property has been added that can be enabled so migration can occur.
This system property will be removed in Elasticsearch 6.0.0
Resolves#17674
* Added an extra `field` parameter to the `percolator` query to indicate what percolator field should be used. This must be an existing field in the mapping of type `percolator`.
* The `.percolator` type is now forbidden. (just like any type that starts with a `.`)
This only applies for new indices created on 5.0 and later. Indices created on previous versions the .percolator type is still allowed to exist.
The new `percolator` field type isn't active in such indices and the `PercolatorQueryCache` knows how to load queries from these legacy indices.
The `PercolatorQueryBuilder` will not enforce that the `field` parameter is of type `percolator`.
We advertise in our documentation that byte units are like `kb`, `mb`... But we actually only support the simple notation `k` or `m`.
This commit adds support for the documented form and keeps the non documented options to avoid any breaking change.
It also adds support for `micros`, `nanos` and `d` as a time unit in `_cat` API.
Remove the support for `b` as a SizeValue unit. Actually, for numbers, when using raw numbers without unit, there is no text to add/parse after the number. For example, you don't write `10` as `10b`. We support option like `size=` in `_cat` API which means that we want to display raw data without unit (singles).
Documentation updated accordingly.
Add test for the empty size option.
Fix missing TimeValues options for some cat APIs
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
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)
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 this commit we limit the size of all in-flight requests on
transport level. The size is guarded by a circuit breaker and is
based on the content size of each request.
By default we use 100% of available heap meaning that the parent
circuit breaker will limit the maximum available size. This value
can be changed by adjusting the setting
network.breaker.inflight_requests.limit
Relates #16011
This commit adds a new configuration file jvm.options to centralize and
simplify management of JVM options. This separates the configuration of
the JVM from the packaging scripts (bin/elasticsearch*, bin/service.bat,
and init.d/elasticsearch) simplifying end-user operational management of
custom JVM options.
CBOR is natively supported in Elasticsearch and allows for byte arrays.
This means, that by using CBOR the user can prevent base64 conversions
for the data being sent back and forth.
This PR adds support to extract data from a byte array in addition to
a string. This also required to add a ByteArrayValueSource class.
The doc mentions match_path in one place but the correct syntax is path_match which is mentioned everywhere else. Using the wrong string leads to errors because the mapping becomes too greedy, and matches things it shouldn't.
Now the `match` query has been split out into `match`, `match_phrase` and `match_phrase_prefix` we need to update the docs to remove the deprecated syntax
Closes#17513
The current example in the documentation for Index Templates lacks any properties values. This is helpful to many devs that aren't sure how to take a regular Index Mapping and convert it to a template.
IMHO the original text here was incomplete. Adding the simple words 'in the index mapping' makes this sentence more clear. Perhaps a be more clear to make this a link.
* [TEST] check registered queries one by one in SearchModuleTests
* Switch to using ParseField to parse query names
If we have a deprecated query name, at the moment we don't have a way to log any deprecation warning nor fail when we are in strict mode. With this change we use ParseField, which will take care of the camel casing that we currently do manually (so that one day we can remove it more easily). This also means, that each query will have a unique preferred name, and all the other names are deprecated.
Terms query "in" synonym is now formally deprecated, as well as fuzzy_match, match_fuzzy, match_phrase and match_phrase_prefix for match query, mlt for more_like_this and geo_bbox for geo_bounding_box. All these will be removed in 6.0.
Every QueryParser holds now a ParseField constant called QUERY_NAME_FIELD that holds the name for it. The first name is the preferred one, all the others are deprecated. The first name is taken from the NAME constant already present in each query builder object, so that we somehow keep the serialization constant separated from ParseField. This change also allowed us to remove the names method from the QueryParser interface.
apart from locahost typo, the issue is that localhost is not 100% safe
for all distros with IPv6.
For example fedora23 defines localhost4 and localhost6 (among other
aliases) so `curl localhost:9200` doesn't work.
For this reason, I think it's safer to replace localhost with 127.0.0.1
By default, tasks are grouped by node. However, task execution in elasticsearch can be quite complex and an individual task that runs on a coordinating node can have many subtasks running on other nodes in the cluster. This commit makes it possible to list task grouped by common parents instead of by node. When this option is enabled all subtask are grouped under the coordinating node task that started all subtasks in the group. To group tasks by common parents, use the following syntax:
GET /tasks?group_by=parents
This commit adds the new `action.search.shard_count.limit` setting which
configures the maximum number of shards that can be queried in a single search
request. It has a default value of 1000.
Both top level and inline inner hits are now covered by InnerHitBuilder.
Although there are differences between top level and inline inner hits,
they now make use of the same builder logic.
The parsing of top level inner hits slightly changed to be more readable.
Before the nested path or parent/child type had to be specified as encapsuting
json object, now these settings are simple fields. Before this was required
to allow streaming parsing of inner hits without missing contextual information.
Once some issues are fixed with inline inner hits (around multi level hierachy of inner hits),
top level inner hits will be deprecated and removed in the next major version.
Today the basic node settings like `node.data` and `node.master` can't really be fully validated
since we allow to specify custom user attributes on the node level. We have to, in order to
support that, add a wildcard setting for `node.*` to let these setting pass validation.
Instead we should require a more contraint prefix like `node.attr.` that defines a namespace
that is reserved for user attributes.
This commit adds a new namespace for attributes in `node.attr`.
Closes#17280
This is to prevent mapping explosion when dynamic keys such as UUID are used as field names. index.mapping.total_fields.limit specifies the total number of fields an index can have. An exception will be thrown when the limit is reached. The default limit is 1000. Value 0 means no limit. This setting is runtime adjustable
Closes#11443
Clinton Gormley
Lee Hinman
Martijn van Groningen
Russ Cam
Danilo Vaz
Sergii Golubev
David Pilato
LeonardGC
bloublou
Adrien Grand
Colin Goodheart-Smithe
Nik Everett
Daniel Mitterdorfer
Jason Tedor
Alexander Reelsen
Greg Marzouka
Igor Motov
Boaz Leskes
Herbert Fischer
val
Ibrahim Awwal
Dmitrii Izgurskii
Jimmy Jones
Mahmoud Lababidi
Jeff
Dimitrios Liappis
Luca Cavanna
Dimitrios Liappis
Joe Hillenbrand
javanna
Joe Hillenbrand
Simon Willnauer
Isabel Drost-Fromm
Spencer
Yanjun Huang
Tal Levy