The config/schema
tree holds the schema definitions for our search indexes.
The purpose of the schema is to define:
- which fields are allowed to be present in documents passed to the search indexer
- how these fields should be processed at indexing time
- how these fields should be searched at query time
The schema is used to produce the elasticsearch configuration for each index, but is also used to control how the fields are processed before passing them to elasticsearch, and after retrieving results from elasticsearch.
There are several "layers" of the schema; field types, which are used to define the configuration for a named set of fields, which are then used to define a set of document types, which are then used to make up the configuration for an index.
The field_types.json
file contains a JSON object describing some "high-level"
named types which can be applied to fields in documents. Each type is keyed by
the name of the type, and has the following properties:
-
description
: a human-readable description of what the type is to be used for (this is essentially a comment field). -
es_config
: the elasticsearch configuration to be applied to fields using this type. -
multivalued
: (optional, default offalse
) - if true, the field is allowed to contain multiple values, and will be represented as an array when documents are being returned. -
children
: (optional) - if present, the field contains child fields (ie, the field values will be JSON objects containing the child fields). This must be set to one of two values:-
named
: The definition of the field (see next section) must contain achildren
property, defining the allowed child fields. -
dynamic
: Arbitrary child fields will be accepted, but how they are handled will be configured dynamically according to the elasticsearch configuration.
-
To keep things simple we require that for a field of a given name, the same configuration must be used regardless of document type, or even search index that the document is being placed in.
The field_definitions.json
file describes what configuration should be used
for each named field; this single-point of configuration ensures that differing
configuration cannot be used for a single field name.
The file contains a JSON object in which the keys are the field names. Each value has the following properties:
-
description
: a human-readable description of what type of data is expected to exist in the field. -
type
: one of the type values defined in thefield_types.json
file. -
children
: (only for fields for which the type had thechildren
property set tonamed
) the field definitions for the child fields. These are in the same format as the top-level field definitions in the file (and could even be recursive).
Documents in an elasticsearch index have a type, and each type may have very
different configuration. We call this type "elasticsearch type" to differentiate
with the document_type
used by GOV.UK to describe types of pages.
We define a basic configuration which is used across all document types, and additional configuration for each document type is then merged with this.
The basic configuration is defined in a base_elasticsearch_type.json
file.
Document types are defined in the elasticsearch_types
directory, with the
additional configuration for each type being defined by a JSON file in that
directory.
The files contain JSON object with the following keys:
-
fields
: An array of field names which are allowed in documents of this type. The field names must be defined in thefield_definitions.json
file. -
expanded_search_result_fields
: DEPRECATED. Sets up field "expansion" for a field. This is used by the search result presenter to replace a raw value.For example:
"expanded_search_result_fields": { "foo": [ { "label": "Bar the bar", "value": "bar" }, { "label": "Baz the baz", "value": "baz" } ],
Will return make the presenter replace the
foo
with valuebar
with the hash{ "label": "Bar the bar", "value": "bar" }
. This can be used when displaying the search results.
Even though we have different schemas for different "elasticsearch document types", in practice elasticsearch only knows about one "type": which is the union of all the schemas. This is because Elasticsearch 6 does not allow multiple types in the same index.
Indexes in elasticsearch are defined by files in the indexes
directory.
These files contain a JSON object with the following keys:
elasticsearch_types
: An array of the names of the document types allowed in this index.
Synonyms are defined in the synonyms.yml
file.
Synonyms are specified in "lucene" syntax. Each synonym group is represented as comma separated lists of synonyms, and optionally a "=>" symbol.
If the => is provided, the left hand side contains a list of words which are combined at search time into a group, and the right hand side contains the list of words which are combined at index time into that same group. ie, the left hand side is the mapping applied to searches, and the right hand side is the mapping applied to documents.
If there is no =>, the same group of words is used at index time as at search time.
Some examples:
foo, bar => baz
means "a search for 'foo' or 'bar' should return documents with 'baz' in them"
foo => bar, baz
means "a search for 'foo' should return documents with 'bar' or 'baz' in them"
foo, bar, baz
is the same as foo, bar, baz => foo, bar, baz
and means "a search for
foo, bar or baz should return documents with any of them".
Additional configuration is defined in the elasticsearch_schema.yml
and
stems.yml
files. This configuration is merged with the JSON configuration,
and then passed to elasticsearch directly.