Class: ElasticGraph::SchemaDefinition::Indexing::Index

Inherits:
Struct
  • Object
show all
Defined in:
elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb

Overview

Represents an index in a datastore. Defined within an indexed type. Modeled as a separate object to facilitate further customization of the index.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(name, settings, schema_def_state, indexed_type) {|Index| ... } ⇒ Index

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Returns a new instance of Index.

Parameters:

Yields:

  • (Index) —

    the index, for further customization



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 48

def initialize(name, settings, schema_def_state, indexed_type)
  if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
    raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
      "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
  end

  settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

  super(name, [], settings, schema_def_state, indexed_type, [], nil)

  # `id` is the field Elasticsearch/OpenSearch use for routing by default:
  # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
  # By using it here, it will cause queries to pass a `routing` parameter when
  # searching with id filtering on an index that does not use custom shard routing, giving
  # us a nice efficiency boost.
  self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

  yield self if block_given?
end

Instance Attribute Details

#default_sort_pairs ⇒ Array<(String, Symbol)> (readonly)

Returns (field name, direction) pairs for the default sort.

Returns:

  • (Array<(String, Symbol)>) —

    (field name, direction) pairs for the default sort



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#indexed_type ⇒ SchemaElements::ObjectType, ... (readonly)

Returns type backed by this index.

Returns:



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#name ⇒ String (readonly)

Returns name of the index.

Returns:

  • (String) —

    name of the index



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#rollover_config ⇒ RolloverConfig? (readonly)

Returns rollover configuration for the index.

Returns:

  • (RolloverConfig, nil) —

    rollover configuration for the index



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#routing_field_path ⇒ Array<String> (readonly)

Returns path to the field used for shard routing.

Returns:

  • (Array<String>) —

    path to the field used for shard routing



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#schema_def_state ⇒ State (readonly)

Returns schema definition state.

Returns:

  • (State) —

    schema definition state



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

#settings ⇒ Hash<(String, Object)> (readonly)

Returns datastore settings for the index.

Returns:

  • (Hash<(String, Object)>) —

    datastore settings for the index



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 39

class Index < Struct.new(:name, :default_sort_pairs, :settings, :schema_def_state, :indexed_type, :routing_field_path, :rollover_config)
  include Mixins::HasReadableToSAndInspect.new { |i| i.name }

  # @param name [String] name of the index
  # @param settings [Hash<(String, Object)>] datastore settings for the index
  # @param schema_def_state [State] schema definition state
  # @param indexed_type [SchemaElements::ObjectType, SchemaElements::InterfaceType, SchemaElements::UnionType] type backed by this index
  # @yield [Index] the index, for further customization
  # @api private
  def initialize(name, settings, schema_def_state, indexed_type)
    if name.include?(ROLLOVER_INDEX_INFIX_MARKER)
      raise Errors::SchemaError, "`#{name}` is an invalid index definition name since it contains " \
        "`#{ROLLOVER_INDEX_INFIX_MARKER}` which ElasticGraph treats as special."
    end

    settings = DEFAULT_SETTINGS.merge(Support::HashUtil.flatten_and_stringify_keys(settings, prefix: "index"))

    super(name, [], settings, schema_def_state, indexed_type, [], nil)

    # `id` is the field Elasticsearch/OpenSearch use for routing by default:
    # https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html
    # By using it here, it will cause queries to pass a `routing` parameter when
    # searching with id filtering on an index that does not use custom shard routing, giving
    # us a nice efficiency boost.
    self.routing_field_path = public_field_path("id", explanation: "indexed types must have an `id` field")

    yield self if block_given?
  end

  # Specifies how documents in this index should sort by default, when no `orderBy` argument is provided to the GraphQL query.
  #
  # @note the field name strings can be a dot-separated nested fields, but all referenced
  #   fields must exist when this is called.
  #
  # @param field_name_direction_pairs [Array<(String, Symbol)>] pairs of field names and `:asc` or `:desc`
  # @return [void]
  #
  # @example Sort on `name` (ascending) with `createdAt` (descending) as a tie-breaker
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.default_sort "name", :asc, "createdAt", :desc
  #       end
  #     end
  #   end
  def default_sort(*field_name_direction_pairs)
    self.default_sort_pairs = field_name_direction_pairs
  end

  # Causes this index to "rollover" at the provided `frequency` based on the value of the provided `timestamp_field_path_name`.
  # This is particularly useful for time-series data. Partitioning the data into `hourly`, `daily`, `monthly` or `yearly` buckets
  # allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given
  # Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which
  # filter on the timestamp field to target the subset of the indices in which matching documents could reside.
  #
  # @note the timestamp field specified here **must be immutable**. To understand why, consider a `:yearly` rollover
  #   index used for data based on `createdAt`; if ElasticGraph ingests record `123` with a createdAt of `2023-12-31T23:59:59Z`, it
  #   will be indexed in the `2023` index. Later if it receives an update event for record `123` with a `createdAt` of
  #   `2024-01-01T00:00:00Z` (a mere one second later!), ElasticGraph will store the new version of the payment in the `2024` index,
  #   and leave the old copy of the payment in the `2023` index unchanged. It’ll have duplicates for that document.
  # @note changing the `rollover` configuration on an existing index that already has data will result in duplicate documents
  #
  # @param frequency [:yearly, :monthly, :daily, :hourly] how often to rollover the index
  # @param timestamp_field_path_name [String] dot-separated path to the timestamp field used for rollover. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to rollover yearly based on `createdAt`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "createdAt", "DateTime"
  #
  #       t.index "campaigns"do |i|
  #         i.rollover :yearly, "createdAt"
  #       end
  #     end
  #   end
  def rollover(frequency, timestamp_field_path_name)
    timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

    unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
      date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
    end

    if timestamp_field_path.type.list?
      raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
    end

    timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

    self.rollover_config = RolloverConfig.new(
      frequency: frequency,
      timestamp_field_path: timestamp_field_path
    )
  end

  # Configures the index to [route documents to shards](https://www.elastic.co/guide/en/elasticsearch/reference/8.15/mapping-routing-field.html)
  # based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a
  # subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain
  # field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query
  # hit every node, allowing additional nodes to increase query throughput.
  #
  # @note it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make
  #   performance worse.
  # @note the routing field specified here **must be immutable**. If ElasticGraph receives an updated version of a document with a
  #   different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard
  #   unchanged, leading to duplicates.
  # @note changing the shard routing configuration on an existing index that already has data will result in duplicate documents
  #
  # @param routing_field_path_name [String] dot-separated path to the field used for shard routing. Note: all referenced
  #   fields must exist when this is called.
  # @return [void]
  #
  # @example Define a `campaigns` index to shard on `organizationId`
  #   ElasticGraph.define_schema do |schema|
  #     schema.object_type "Campaign" do |t|
  #       t.field "id", "ID!"
  #       t.field "name", "String"
  #       t.field "organizationId", "ID"
  #
  #       t.index "campaigns"do |i|
  #         i.route_with "organizationId"
  #       end
  #     end
  #   end
  def route_with(routing_field_path_name)
    routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

    unless routing_field_path.type.leaf?
      raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
    end

    self.routing_field_path = routing_field_path

    routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
    routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
    indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
  end

  # @see #route_with
  # @return [Boolean] whether or not this index uses custom shard routing
  def uses_custom_routing?
    routing_field_path.path_in_index != "id"
  end

  # @return [Hash<String, Object>] datastore configuration for this index for when it does not use rollover
  def to_index_config
    {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }.compact
  end

  # @return [Hash<String, Object>] datastore configuration for the index template that will be defined if rollover is used
  def to_index_template_config
    {
      "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
      "template" => {
        "aliases" => {},
        "mappings" => mappings,
        "settings" => settings
      }
    }
  end

  # @return [SchemaArtifacts::RuntimeMetadata::IndexDefinition] runtime metadata for this index
  def runtime_metadata
    SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
      route_with: routing_field_path.path_in_index,
      rollover: rollover_config&.runtime_metadata,
      current_sources: indexed_type.current_sources,
      fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
      default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
        SchemaArtifacts::RuntimeMetadata::SortField.new(
          field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
          direction: direction
        )
      end
    )
  end

  private

  # A regex that requires at least one non-whitespace character.
  # Note: this does not use the `/S` character class because it's recommended to use a small subset
  # of Regex syntax:
  #
  # > The regular expression syntax used is from JavaScript (ECMA 262, specifically). However, that
  # > complete syntax is not widely supported, therefore it is recommended that you stick to the subset
  # > of that syntax described below.
  #
  # (From https://json-schema.org/understanding-json-schema/reference/regular_expressions.html)
  HAS_NON_WHITE_SPACE_REGEX = "[^ \t\n]+"

  DEFAULT_SETTINGS = {
    "index.mapping.ignore_malformed" => false,
    "index.mapping.coerce" => false,
    "index.number_of_replicas" => 1,
    "index.number_of_shards" => 1
  }

  def mappings
    field_mappings = indexed_type
      .to_indexing_field_type
      .to_mapping
      .except("type") # `type` is invalid at the mapping root because it always has to be an object.
      .then { |mapping| ListCountsMapping.merged_into(mapping, for_type: indexed_type) }
      .then do |fm|
        Support::HashUtil.deep_merge(fm, {"properties" => {
          "__sources" => {"type" => "keyword"},
          "__versions" => {
            "type" => "object",
            # __versions is map keyed by relationship name, with values that are maps keyed by id. Since it's not
            # a static object with known fields, we need to use dynamic here. Passing `false` allows some level
            # of dynamicness. As per https://www.elastic.co/guide/en/elasticsearch/reference/8.7/dynamic.html#dynamic-parameters:
            #
            # > New fields are ignored. These fields will not be indexed or searchable, but will still appear in the _source
            # > field of returned hits. These fields will not be added to the mapping, and new fields must be added explicitly.
            #
            # We need `__versions` to be in `_source` (so that our update scripts can operate on it), but
            # have no need for it to be searchable (as it's just an internal data structure used for indexing).
            #
            # Note: we intentionally set false as a string here, because that's how the datastore echoes it back
            # to us when you query the mapping (even if you set it as a boolean). Our checks for index mapping
            # consistency fail validation if we set it as a boolean since the datastore doesn't echo it back as
            # a boolean.
            "dynamic" => "false"
          }
        }})
      end

    {"dynamic" => "strict"}.merge(field_mappings).tap do |hash|
      # If we are using custom shard routing, we want to require a `routing` value to be provided
      # in every single index, get, delete or update request; otherwise the request might be
      # made against the wrong shard.
      hash["_routing"] = {"required" => true} if uses_custom_routing?
      hash["_size"] = {"enabled" => true} if schema_def_state.index_document_sizes?
    end
  end

  def public_field_path(public_path_string, explanation:)
    parent_is_not_list = ->(parent_field) { !parent_field.type.list? }
    resolver = SchemaElements::FieldPath::Resolver.new
    resolved_path = resolver.resolve_public_path(indexed_type, public_path_string, &parent_is_not_list)
    return resolved_path if resolved_path

    path_parts = public_path_string.split(".")
    error_msg = "Field `#{indexed_type.name}.#{public_path_string}` cannot be resolved, but #{explanation}."

    # If it is a nested field path, the problem could be that a type has been referenced which does not exist, so mention that.
    if path_parts.size > 1
      error_msg += " Verify that all fields and types referenced by `#{public_path_string}` are defined."
    end

    # If the first part of the path doesn't resolve, the problem could be that the field is defined after the `index` call
    # but it needs to be defined before it, so mention that.
    if resolver.resolve_public_path(indexed_type, path_parts.first, &parent_is_not_list).nil?
      error_msg += " Note: the `#{indexed_type.name}.#{path_parts.first}` definition must come before the `index` call."
    end

    raise Errors::SchemaError, error_msg
  end

  def date_and_datetime_types
    @date_and_datetime_types ||= %w[Date DateTime].map do |type|
      schema_def_state.type_namer.name_for(type)
    end
  end
end

Instance Method Details

#default_sort(*field_name_direction_pairs) ⇒ void

Note:

the field name strings can be a dot-separated nested fields, but all referenced fields must exist when this is called.

This method returns an undefined value.

Specifies how documents in this index should sort by default, when no orderBy argument is provided to the GraphQL query.

Examples:

Sort on name (ascending) with createdAt (descending) as a tie-breaker

ElasticGraph.define_schema do |schema|
  schema.object_type "Campaign" do |t|
    t.field "id", "ID!"
    t.field "name", "String"
    t.field "createdAt", "DateTime"

    t.index "campaigns"do |i|
      i.default_sort "name", :asc, "createdAt", :desc
    end
  end
end

Parameters:

  • field_name_direction_pairs (Array<(String, Symbol)>) —

    pairs of field names and :asc or :desc



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 88

def default_sort(*field_name_direction_pairs)
  self.default_sort_pairs = field_name_direction_pairs
end

#rollover(frequency, timestamp_field_path_name) ⇒ void

Note:

the timestamp field specified here must be immutable. To understand why, consider a :yearly rollover index used for data based on createdAt; if ElasticGraph ingests record 123 with a createdAt of 2023-12-31T23:59:59Z, it will be indexed in the 2023 index. Later if it receives an update event for record 123 with a createdAt of 2024-01-01T00:00:00Z (a mere one second later!), ElasticGraph will store the new version of the payment in the 2024 index, and leave the old copy of the payment in the 2023 index unchanged. It’ll have duplicates for that document.

Note:

changing the rollover configuration on an existing index that already has data will result in duplicate documents

This method returns an undefined value.

Causes this index to “rollover” at the provided frequency based on the value of the provided timestamp_field_path_name. This is particularly useful for time-series data. Partitioning the data into hourly, daily, monthly or yearly buckets allows for different index configurations, and can be necessary when a dataset is too large to fit in one dataset given Elasticsearch/OpenSearch limitations on the number of shards in one index. In addition, ElasticGraph optimizes queries which filter on the timestamp field to target the subset of the indices in which matching documents could reside.

Examples:

Define a campaigns index to rollover yearly based on createdAt

ElasticGraph.define_schema do |schema|
  schema.object_type "Campaign" do |t|
    t.field "id", "ID!"
    t.field "name", "String"
    t.field "createdAt", "DateTime"

    t.index "campaigns"do |i|
      i.rollover :yearly, "createdAt"
    end
  end
end

Parameters:

  • frequency (:yearly, :monthly, :daily, :hourly) —

    how often to rollover the index

  • timestamp_field_path_name (String) —

    dot-separated path to the timestamp field used for rollover. Note: all referenced fields must exist when this is called.



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 122

def rollover(frequency, timestamp_field_path_name)
  timestamp_field_path = public_field_path(timestamp_field_path_name, explanation: "it is referenced as an index `rollover` field")

  unless date_and_datetime_types.include?(timestamp_field_path.type.fully_unwrapped.name)
    date_or_datetime_description = date_and_datetime_types.map { |t| "`#{t}`" }.join(" or ")
    raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is not a #{date_or_datetime_description} field."
  end

  if timestamp_field_path.type.list?
    raise Errors::SchemaError, "rollover field `#{timestamp_field_path.full_description}` cannot be used for rollover since it is a list field."
  end

  timestamp_field_path.path_parts.each { |f| f.json_schema nullable: false }

  self.rollover_config = RolloverConfig.new(
    frequency: frequency,
    timestamp_field_path: timestamp_field_path
  )
end

#route_with(routing_field_path_name) ⇒ void

Note:

it is essential that the shards are well-balanced. If the data’s distribution is lopsided, using this feature can make performance worse.

Note:

the routing field specified here must be immutable. If ElasticGraph receives an updated version of a document with a different routing value, it’ll write the new version of the document to a different shard and leave the copy on the old shard unchanged, leading to duplicates.

Note:

changing the shard routing configuration on an existing index that already has data will result in duplicate documents

This method returns an undefined value.

Configures the index to route documents to shards based on the specified field. ElasticGraph optimizes queries that filter on the shard routing field so that they only run on a subset of nodes instead of all nodes. This can make a big difference in query performance if queries usually filter on a certain field. Using an appropriate field for shard routing is often essential for horizontal scaling, as it avoids having every query hit every node, allowing additional nodes to increase query throughput.

Examples:

Define a campaigns index to shard on organizationId

ElasticGraph.define_schema do |schema|
  schema.object_type "Campaign" do |t|
    t.field "id", "ID!"
    t.field "name", "String"
    t.field "organizationId", "ID"

    t.index "campaigns"do |i|
      i.route_with "organizationId"
    end
  end
end

Parameters:

  • routing_field_path_name (String) —

    dot-separated path to the field used for shard routing. Note: all referenced fields must exist when this is called.



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 171

def route_with(routing_field_path_name)
  routing_field_path = public_field_path(routing_field_path_name, explanation: "it is referenced as an index `route_with` field")

  unless routing_field_path.type.leaf?
    raise Errors::SchemaError, "shard routing field `#{routing_field_path.full_description}` cannot be used for routing since it is not a leaf field."
  end

  self.routing_field_path = routing_field_path

  routing_field_path.path_parts[0..-2].each { |f| f.json_schema nullable: false }
  routing_field_path.last_part.json_schema nullable: false, pattern: HAS_NON_WHITE_SPACE_REGEX
  indexed_type.append_to_documentation "For more performant queries on this type, please filter on `#{routing_field_path_name}` if possible."
end

#runtime_metadata ⇒ SchemaArtifacts::RuntimeMetadata::IndexDefinition

Returns runtime metadata for this index.

Returns:

  • (SchemaArtifacts::RuntimeMetadata::IndexDefinition) —

    runtime metadata for this index



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 213

def runtime_metadata
  SchemaArtifacts::RuntimeMetadata::IndexDefinition.new(
    route_with: routing_field_path.path_in_index,
    rollover: rollover_config&.runtime_metadata,
    current_sources: indexed_type.current_sources,
    fields_by_path: indexed_type.index_field_runtime_metadata_tuples.to_h,
    default_sort_fields: default_sort_pairs.each_slice(2).map do |(graphql_field_path_name, direction)|
      SchemaArtifacts::RuntimeMetadata::SortField.new(
        field_path: public_field_path(graphql_field_path_name, explanation: "it is referenced as an index `default_sort` field").path_in_index,
        direction: direction
      )
    end
  )
end

#to_index_config ⇒ Hash<String, Object>

Returns datastore configuration for this index for when it does not use rollover.

Returns:

  • (Hash<String, Object>) —

    datastore configuration for this index for when it does not use rollover



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 192

def to_index_config
  {
    "aliases" => {},
    "mappings" => mappings,
    "settings" => settings
  }.compact
end

#to_index_template_config ⇒ Hash<String, Object>

Returns datastore configuration for the index template that will be defined if rollover is used.

Returns:

  • (Hash<String, Object>) —

    datastore configuration for the index template that will be defined if rollover is used



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 201

def to_index_template_config
  {
    "index_patterns" => ["#{name}#{ROLLOVER_INDEX_INFIX_MARKER}*"],
    "template" => {
      "aliases" => {},
      "mappings" => mappings,
      "settings" => settings
    }
  }
end

#uses_custom_routing? ⇒ Boolean

Returns whether or not this index uses custom shard routing.

Returns:

  • (Boolean) —

    whether or not this index uses custom shard routing

See Also:



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# File 'elasticgraph-schema_definition/lib/elastic_graph/schema_definition/indexing/index.rb', line 187

def uses_custom_routing?
  routing_field_path.path_in_index != "id"
end