Roles, tables, and scheduled jobs included with Query Generation

  • Release version: Zurich
  • Updated July 25, 2025
  • 3 minutes to read
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    Summary of Roles, tables, and scheduled jobs included with Query Generation

    Query Generation in the Zurich release provides a set of roles, tables, and scheduled jobs designed to enable semantic query capabilities in ServiceNow. These components facilitate the creation, management, and synchronization of semantic data layers, reusable query segments, and AI-powered search configurations, enhancing the accuracy and context-awareness of queries across applications.

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    Roles

    • snquerygen.user: Grants permission to call the Query Generation service through integrated applications; typically included in user roles of those applications.
    • snquerygen.admin: Provides administrative access to Query Generation tables, the Health Page, and enables customization of semantic metadata and manual segment creation.
    • Additional roles like snnowassistadmin.nsa.admin and aisadmin also include snquerygen.user permissions.

    Scheduled Jobs

    • Generate Semantic Layer: Runs on installation and on demand; generates entities, dimensions, and segments while cleaning unused records.
    • [Query Generation] Sync Segments Job: Runs weekly by default; synchronizes segments from various data sources and cleans up unused segments.
    • [Query Generation] Semantic Entity Auto-Scaling Job: Runs daily; synchronizes entity activation states to support semantic entity scaling.

    Tables

    All tables require the admin role for access and are found under Query Generation in the Navigator.

    • Entity [snquerygenentity]: Read-only table representing semantic-enabled tables; records generated automatically.
    • Dimension [snquerygendimension]: Read-only representation of queryable columns for each Entity.
    • Segments [snquerygensegment]: Reusable definitions providing semantic context to improve query interpretation; admins can add, edit, or delete segments.
    • Manual Segment Configs [snquerygensegmenttableconfig]: Stores manually created segments that synchronize with the Segments table.
    • Utterance Bank [snquerygenutterancebank]: Contains predefined sentences mapped to database queries to assist in matching user questions to structured data.
    • AI Search Search Profile [aissearchprofile]: Contains search experience configurations linked to specific search boxes for consistent application-wide search behavior.
    • AI Search Indexed Sources [aisdatasource]: Lists content sources available for search, editable by users with the snquerygen.admin role.
    • Logs [snquerygenlog]: Records all Query Generation service calls for monitoring and troubleshooting.
    • Semantic Table Configurations [snquerygentableconfig]: Lists tables available for semantic search and their configurations; admins can add or modify these settings.
    • Semantic Column Configurations [snquerygencolumnconfig]: Manages domain settings, status, and custom descriptions for table columns linked to semantic tables; customizable by admins.

    Practical Implications for ServiceNow Customers

    By leveraging these roles, scheduled jobs, and tables, ServiceNow customers can:

    • Enable semantic understanding of their data tables for natural language querying.
    • Customize semantic metadata and define reusable query segments to improve query accuracy and context.
    • Automate synchronization and scaling of semantic entities to maintain data integrity and performance.
    • Configure AI search profiles and indexed sources to tailor search experiences across applications.
    • Monitor Query Generation usage and performance through detailed logs.

    These capabilities collectively enhance the ability to deliver intelligent, context-aware search and query functionalities that align with organizational data and business logic.

    Several types of components are installed with Query Generation, including tables and scheduled jobs.

    Roles included

    Role name Description Contains roles

    sn_query_gen.user

    Allows the person with the role to call the Query Generation service through the app they are using.

    None, but applications that call Query Generation should contain this role in their own user roles.

    sn_query_gen.admin

    Allows the user to access the Query Generation tables like an admin user. Can access the Health Page. Can customize semantic metadata and create manual segments.

    • sn_nowassist_admin.nsa.admin
    • ais_admin
    • sn_query_gen.user

    Scheduled jobs installed

    Scheduled job Description

    Default frequency

    Generate Semantic Layer

    Generates entities, dimensions, and segments. Cleans up unused segments and Entity and Source records. Segment generation works like the Sync Segments job.Runs when Query Generation is first installed and then on demand.

    When first installed, then on demand

    [Query Generation] Sync Segments Job Generates segments from report sources, reports, indicator sources, modules, and filters. Synchronizes manual segments with segment table. Cleans up unused segments. Cleans up segments based on unused or otherwise ineligible reports, report sources, and indicator sources.

    When first installed, then weekly, on Sundays

    [Query Generation] Semantic Entity Auto-Scaling Job

    Synchronizes entity activation states and helps with semantic entity scaling.

    When first installed, then daily, at 20:23:00

    Tables installed

    All tables require the admin role for access and are available under Query Generation in the Navigator.

    Table Description

    Entity

    [sn_query_gen_entity]

    Representations of the tables that have semantic generation enabled for them (explicitly or through their parent tables) on the Semantic Table Configuration [sn_query_gen_table_config] table. Each Entity record corresponds to one supported table. Entity records are generated automatically, and this table is read-only.

    Dimension

    [sn_query_gen_dimension]

    Representation of queryable columns for every table that an Entity record references. Each record corresponds to one column. Dimension records are generated automatically, and this table is read-only.
    Segments

    [sn_query_gen_segment]

    Reusable definitions that provide non-obvious context, to assist the semantic layer or LLM to select the correct entity, dimension, and values. For example, in the utterance "How many open emergency change requests are there?", a segment identifies that "open" means "active=true" and "emergency" is a Type, not a Priority. Admins can add new segments, delete existing segments, or edit segment names and descriptions.
    Manual Segment Configs

    [sn_query_gen_segment_table_config]

    Manually created segments. The [Query Generation] Sync Segments job syncs this table up to the Segments table.
    Utterance bank

    [sn_query_gen_utterance_bank]

    Predefined sentences and phrases mapped to database contexts and queries. User questions are compared to the utterance bank to see if a predefined mapping can apply. Admins can create, edit, and delete utterance banks.
    AI Search Search Profile

    [ais_search_profile]

    A container for all search experience configurations. A search profile is mapped to a specific experience you would like to expose in your app. Search Profile is  linked to a search box and can be used across applications. Admins can create, clone, and publish search profiles.
    AI Search Indexed Sources

    [ais_datasource]

    Records on this table reflect what content users can search on. The content can be tables on the instance or external tables. You have the necessary indexed sources by default. The sn_query_gen.admin role or higher is necessary to edit this table. The most likely use case is if the system cannot find the correct table and not all the indexed queries are fully applied. For more information, see Common AI Data Explorer issues and fixes.
    Logs

    [sn_query_gen_log]

    A log of every call to Query Generation. For more information, see Query Generation logs.
    Semantic table configurations

    [sn_query_gen_table_config]

    List of tables that Query Generation can search, whether semantic generation is enabled for that table, and whether child tables are included. Admins can create, edit, and delete these records. For more information, see Add a table to the semantic data layer.
    Semantic column configurations

    [sn_query_gen_column_config]

    Records for setting the domain, active status, and custom semantic descriptions and usage instructions for table columns. Must reference a table in sn_query_gen_table_config. For more information, see Customize column descriptions and usage instructions.