DocsDeveloper GuidePython, R, Node.js and Shell ScriptsBind mount

Bind mount​Bind mount

To run a script stored locally, you can bind-mount it to your Kestra container.

Bind-mounting local scripts

Bind-mounting local scripts to the Kestra server can also make the local scripts available to the Docker containers running the script tasks. This is useful when you want to test a script and you don't want to use Namespace Files.

First, make sure that your Kestra configuration in the Docker Compose file allows volume mounting. Here is how you can configure it:

yaml
  kestra:
    image: kestra/kestra:latest-full
    pull_policy: always
    user: "root"
    env_file:
      - .env
    command: server standalone --worker-thread=128
    volumes:
      - kestra-data:/app/storage
      - /var/run/docker.sock:/var/run/docker.sock
      - /tmp/kestra-wd:/tmp/kestra-wd:rw
    environment:
      KESTRA_CONFIGURATION: |
        datasources:
          postgres:
            url: jdbc:postgresql://postgres:5432/kestra
            driverClassName: org.postgresql.Driver
            username: kestra
            password: k3str4
        kestra:
          server:
            basic-auth:
              enabled: false
              username: "admin@kestra.io" # it must be a valid email address
              password: kestra
          repository:
            type: postgres
          storage:
            type: local
            local:
              base-path: "/app/storage"
          queue:
            type: postgres
          tasks:
            tmp-dir:
              path: /tmp/kestra-wd/tmp
          plugins:
            configurations:
              - type: io.kestra.plugin.scripts.runner.docker.Docker
                values:
                  volume-enabled: true # 👈 this is the relevant setting

With that setting, you can point the script task to any script on your local file system:

yaml
id: pythonVolume
namespace: company.team
tasks:
  - id: anyPythonScript
    type: io.kestra.plugin.scripts.python.Commands
    runner: DOCKER
    docker:
      image: ghcr.io/kestra-io/pydata:latest
      volumes:
        - /Users/anna/gh/KESTRA_REPOS/scripts:/app
    commands:
      - python /app/etl/parametrized.py

This flow points the Python task running in a Docker container to this ETL script.

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