Prism
v0.2.2
v0.3.0v0.2.8v0.2.7v0.2.6v0.2.5v0.2.4v0.2.3v0.2.2v0.2.1v0.2.0v0.2.0rc2v0.2.0rc1v0.1.9v0.1.9rc2v0.1.9rc1
v0.2.2
v0.3.0v0.2.8v0.2.7v0.2.6v0.2.5v0.2.4v0.2.3v0.2.2v0.2.1v0.2.0v0.2.0rc2v0.2.0rc1v0.1.9v0.1.9rc2v0.1.9rc1
  • 👋Welcome to Prism!
  • Getting Started
    • Installation
    • Creating your first project
    • Why Prism?
  • Fundamentals
    • Tasks
      • tasks
        • tasks.ref()
      • hooks
        • hooks.sql
        • hooks.spark
        • hooks.dbt_ref
        • hooks.get_connection
        • hooks.get_cursor
    • 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
      • Presto
    • PySpark
    • dbt
  • Agents
    • Overview
    • Docker
    • EC2
  • CLI
    • Command Line Interface
    • agent
      • apply
      • run
      • build
      • delete
    • compile
    • connect
    • create
      • agent
      • task
      • trigger
    • graph
    • init
    • run
    • spark-submit
  • Advanced features
    • Concurrency
    • Logging
    • Triggers
    • Retries
    • Python Client
  • API Reference
    • prism.task.PrismTask
    • @task(...)
    • @target(...)
    • @target_iterator(...)
    • TaskManager
      • tasks.ref(...)
    • PrismHooks
      • hooks.sql(...)
      • hooks.dbt_ref(...)
      • hooks.get_connection(...)
      • hooks.get_cursor(...)
    • prism.target.PrismTarget
  • Use Cases
    • Analytics on top of dbt
    • Machine Learning
  • Wiki
    • DAGs
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On this page
  1. Fundamentals
  2. Config files
  3. prism_project.py

THREADS

THREADS is used to support concurrency. This variable tells Prism how many workers should execute the project. See the concurrency page for more information.

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