Prism
v0.1.9rc2
v0.1.9rc2
  • 👋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
    • Retries
    • Python Client
  • API Reference
    • prism.task.PrismTask
    • @task(...)
    • @target(...)
    • @target_iterator(...)
    • tasks.ref(...)
    • hooks.sql(...)
    • hooks.dbt_ref(...)
  • Use Cases
    • Analytics on top of dbt
    • Machine Learning
  • Wiki
    • DAGs
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  1. Adapters

sql

PreviousOverviewNextBigQuery

Last updated 1 year ago

Prism users can execute sql queries using the hooks.sql() function. This function takes three arguments:

  1. adapter_name: the adapter with which to run the SQL query. This should match the adapter name in profile.yml.

  2. query: the SQL query as a string

  3. return_type: the return type for the SQL query. The default value is "pandas" for returning a Pandas DataFrame. Other valid options include:

    • None if you want to create a table, view, schema, database, etc.

def run(self, tasks, hooks):
    hooks.sql(
        adapter_name="...",
        query="...",
        return_type = "pandas"
    )

The configurations for these adapters need to be specified in , and they are covered in more detail next.

profile.yml