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. CLI

agent

Previousspark-submitNextapply

Last updated 1 year ago

The prism agent commands are used to create, modify, and execute your Prism agents.

Usage: prism agent [-h] {apply,run,build,delete} ...

Execute your Prism using third-party agents, (e.g., Docker containers, EC2 instances, EMR clusters, and more).

Options:
  -h, --help            show this help message and exit

Subcommands:
  Execute your Prism using third-party agents, (e.g., Docker containers, EC2 instances, EMR clusters, and more).

  {apply,run,build,delete}
    apply               Build your agent using a configuration YML
    run                 Run your project using an agent
    build               Build your agent using a configuration YML and then run your project on the newly-built agent
    delete              Delete your agent

There are three subcommands:

apply
run
build
delete