Prism
v0.1.9rc1
v0.1.9rc1
  • 👋Welcome to Prism!
  • Getting Started
    • Installation
    • Creating your first project
    • Why Prism?
  • Fundamentals
    • Tasks
      • tasks
      • hooks
        • hooks.sql
        • hooks.spark
        • hooks.dbt_ref
    • Targets
      • Multiple targets
    • Config files
      • prism_project.py
        • RUN_ID / SLUG
        • SYS_PATH_CONF
        • THREADS
        • PROFILE_YML_PATH / PROFILE
        • PRISM_LOGGER
        • TRIGGERS_YML_PATH / TRIGGERS
      • Profile YML
      • Triggers YML
    • Jinja
      • __file__ and Path
      • prism_project
      • wkdir
      • parent_dir
      • concat
      • env
  • Adapters
    • Overview
    • sql
      • BigQuery
      • Postgres
      • Redshift
      • Snowflake
      • Trino
    • PySpark
    • dbt
  • Agents
    • Overview
    • Docker
    • EC2
  • CLI
    • Command Line Interface
    • init
    • compile
    • connect
    • create
      • agent
      • task
      • trigger
    • graph
    • run
    • spark-submit
    • agent
      • apply
      • run
      • build
      • delete
  • Advanced features
    • Concurrency
    • Logging
    • Triggers
    • Python Client
  • Use Cases
    • Analytics on top of dbt
    • Machine Learning
  • Wiki
    • DAGs
Powered by GitBook
On this page
  1. Fundamentals
  2. Tasks
  3. hooks

hooks.dbt_ref

Previoushooks.sparkNextTargets

Last updated 1 year ago

hooks.dbt_ref allows users to access dbt models as Pandas DataFrames in their tasks. More on this in the section.

Warning: hooks.dbt_ref does NOT materialize your models for you! You'll need to materialize them yourselve (e.g., with dbt run) before using Prism's hooks.

dbt