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Fusion 5.10
    Fusion 5.10

    Data Models

    Data models simplify the process of getting started with Fusion by providing pre-configured objects to reduce the effort spent on basic starting tasks. This helps keep documents consistent between datasources and intuitive to the object’s type.

    Components

    Data models consist of the following:

    • Object type - Describes the object type, or what a document in the index is. For example, an object may be a file, email, person, product, etc.

    • Index pipeline - Specifies the index pipeline that is indexing documents relevant to the data model.

    • Query pipeline - Specifies the query pipeline that is invoked when a query involves the data model.

    • Fields configuration - Creates a schema map that describes how the object schema should be translated into the Solr index. For example, the field name first_name can map to Solr fields first_name_s and first_name_t.

    Object type

    The object type defines what a document is and what associated data is expected.

    Example

    When indexing employees for a company directory, certain fields are expected by a user. This includes the employees’s name, title, and contact information. An object type, person, is created for this purpose. The data model object is created to include this information in a clear, intuitive way:

    Data Model Field Solr Fields

    first_name

    firstName_t
    firstName_s

    last_name

    lastName_t
    lastName_s

    email

    email_s

    job_title

    jobTitle_t
    lastName_s

    Index pipeline

    When you add a connector in Fusion, a default index pipeline is created that is used to map the documents' fields to the data model fields. The pipeline contains two pipeline stages, the Data Model Mapping index stage and the Call Data Model Pipeline index stage. Once configured, this stage indexes the documents as various object types. Fields irrelevant to that object type are optionally discarded.

    Query pipeline

    The query pipeline is applied by default whenever a user is searching documents of the object type. This enables query pipeline configurations specialized for the object type. For example, a query pipeline for the object type person could boost or filter results for current employees over previous employees.

    The query pipeline is optional for data models.

    Fields configuration

    Data model fields allow you to map document fields to Solr fields in a way that respects the data model object type. The fields configuration allows this map to be intuitive to new users, offering a guided experience for configuring these options.

    UI fields configuration

    Field Required Description Example

    Name of the Data Model

    ✅

    string
    A user-friendly name for the data model. This typically describes the object type.

    person

    Index Pipeline

    ✅

    string
    The name of the index pipeline used for the data model.

    companyDirectory-index-pipeline

    Query Pipeline

    ✅

    string
    The name of the query pipeline used for the data model.

    companyDirectory-query-pipeline

    Field Name

    ✅

    string

    first_name

    Required

    ✘

    boolean

    true

    Solr Fields ↓

    Solr Field Name

    ✅

    string

    firstName_t

    Is Query Field

    ✘

    boolean

    true

    Enable Phrase Match

    ✘

    boolean

    false

    Boost Value

    ✘

    integer
    The amount of boost to give to the query.

    1

    Phrase Boost

    ✘

    integer
    The amount of boost to give to the query, if it matches as an exact phrase.

    2

    More information