Tailer Documentation
  • What is Tailer Platform?
  • Getting Started
    • Prepare your local environment for Tailer
    • Install Tailer SDK
    • Set up Google Cloud Platform
    • Encrypt your credentials
  • [Tutorial] Create a first data pipeline
    • Introduction
    • Prepare the demonstration environment
    • Copy files from one bucket to another
    • Load files into BigQuery tables
    • Prepare data
    • Build predictions
    • Export data
    • Congratulations!
    • [Video] Automatic Script
      • SQL script file
      • DDL script file
      • Tables to Tables script file
      • Launch configuration and furthermore
  • Data Pipeline Operations
    • Overview
    • Set constants with Context
      • Context configuration file
    • Move files with Storage to Storage
      • Storage to Storage configuration file
    • Load data with Storage to Tables
      • Storage to Tables configuration file
      • Storage to Tables DDL files
    • Stream incoming data with API To Storage
      • API To Storage configuration file
      • API To Storage usage examples
    • Transform data with Tables to Tables
      • Tables to Tables configuration file
      • Table to Table SQL and DDL files
    • Export data with Tables to Storage
      • [V3] Table to Storage configuration file
      • Table to Storage SQL file
      • [V1-V2: deprecated] Table to Storage configuration file
    • Orchestrate processings with Workflow
      • [V2] Workflow configuration file
      • [V1: deprecated] Workflow configuration file
    • Convert XML to CSV
      • Convert XML to CSV configuration file
    • Use advanced features with VM Launcher
      • Process code with VM Launcher
        • VM Launcher configuration file for code processing
      • Encrypt/Decrypt data with VM Launcher
        • VM Launcher configuration file for data encryption
        • VM Launcher configuration file for data decryption
    • Monitoring and Alerting
      • Monitoring and alerting parameters
    • Asserting Data quality with Expectations
      • List of Expectations
    • Modify files with File Utilities
      • Encrypt/Decrypt data with File Utilities
        • Configuration file for data encryption
        • Configuration file for data decryption
    • Transfer data with GBQ to Firestore
      • Table to Storage: configuration file
      • Table to Storage: SQL file
      • VM Launcher: configuration file
      • File-to-firestore python file
  • Tailer Studio
    • Overview
    • Check data operations' details
    • Monitor data operations' status
    • Execute data operations
    • Reset Workflow data operations
    • Archive data operations
    • Add notes to data operations and runs
    • View your data catalog
    • Time your data with freshness
  • Tailer API
    • Overview
    • Getting started
    • API features
  • Release Notes
    • Tailer SDK Stable Releases
    • Tailer Beta Releases
      • Beta features
      • Beta configuration
      • Tailer SDK API
    • Tailer Status
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On this page
  • 💡 What is the VM Launcher data operation for code processing?
  • ✅ Supported languages
  • ⚙️ How it works
  • 📋 How to deploy a VM Launcher data operation for code processing

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  1. Data Pipeline Operations
  2. Use advanced features with VM Launcher

Process code with VM Launcher

Learn how to use a VM Launcher data operation to process some code on a VM.

PreviousUse advanced features with VM LauncherNextVM Launcher configuration file for code processing

Last updated 3 years ago

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💡 What is the VM Launcher data operation for code processing?

The VM Launcher data operation allows you to start a Google Compute Engine VM where you can execute a script in the language of your choice, and then to stop the VM automatically to save resources.

✅ Supported languages

All languages (Python, R, JavaScript, etc.)

⚙️ How it works

Every time a script file appears in a given directory of a Google Cloud Storage bucket:

  • A VM with the specified characteristics is started on GCE.

  • The instructions set in the JSON configuration file script_to_execute parameter are executed, and the script is launched.

  • Once the execution is complete, the VM is stopped automatically.

📋 How to deploy a VM Launcher data operation for code processing

  1. Access your tailer folder (created during ).

  2. Create a working folder as you want.

  3. Create a JSON file for your data operation in your working folder. Refer to this page to learn about all the .

  4. Access your working folder by running the following command:

    cd "[path to your working folder]"

  5. To deploy the data operation, run the following command:

    tailer deploy configuration your-configuration.json

  6. Log in to to check the status and details of your data operation.

  7. For execute your VM Launcher data operation, place a script in the working folder.

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