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v1.5.x
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v1.5.x
  • Welcome
  • Getting Started
    • How Bacalhau Works
    • Installation
    • Create Network
    • Hardware Setup
    • Container Onboarding
      • Docker Workloads
      • WebAssembly (Wasm) Workloads
  • Setting Up
    • Running Nodes
      • Node Onboarding
      • GPU Installation
      • Job selection policy
      • Access Management
      • Node persistence
      • Connect Storage
      • Configuring Transport Level Security
      • Limits and Timeouts
      • Test Network Locally
      • Bacalhau WebUI
      • Private IPFS Network Setup
    • Workload Onboarding
      • Container
        • Docker Workload Onboarding
        • WebAssembly (Wasm) Workloads
        • Bacalhau Docker Image
        • How To Work With Custom Containers in Bacalhau
      • Python
        • Building and Running Custom Python Container
        • Running Pandas on Bacalhau
        • Running a Python Script
        • Running Jupyter Notebooks on Bacalhau
        • Scripting Bacalhau with Python
      • R (language)
        • Building and Running your Custom R Containers on Bacalhau
        • Running a Simple R Script on Bacalhau
      • Run CUDA programs on Bacalhau
      • Running a Prolog Script
      • Reading Data from Multiple S3 Buckets using Bacalhau
      • Running Rust programs as WebAssembly (WASM)
      • Generate Synthetic Data using Sparkov Data Generation technique
    • Data Ingestion
      • Copy Data from URL to Public Storage
      • Pinning Data
      • Running a Job over S3 data
    • Networking Instructions
      • Accessing the Internet from Jobs
      • Utilizing NATS.io within Bacalhau
    • GPU Workloads Setup
    • Automatic Update Checking
    • Marketplace Deployments
      • Google Cloud Marketplace
  • Guides
    • (Updated) Configuration Management
    • Write a config.yaml
    • Write a SpecConfig
  • Examples
    • Data Engineering
      • Using Bacalhau with DuckDB
      • Ethereum Blockchain Analysis with Ethereum-ETL and Bacalhau
      • Convert CSV To Parquet Or Avro
      • Simple Image Processing
      • Oceanography - Data Conversion
      • Video Processing
    • Model Inference
      • EasyOCR (Optical Character Recognition) on Bacalhau
      • Running Inference on Dolly 2.0 Model with Hugging Face
      • Speech Recognition using Whisper
      • Stable Diffusion on a GPU
      • Stable Diffusion on a CPU
      • Object Detection with YOLOv5 on Bacalhau
      • Generate Realistic Images using StyleGAN3 and Bacalhau
      • Stable Diffusion Checkpoint Inference
      • Running Inference on a Model stored on S3
    • Model Training
      • Training Pytorch Model with Bacalhau
      • Training Tensorflow Model
      • Stable Diffusion Dreambooth (Finetuning)
    • Molecular Dynamics
      • Running BIDS Apps on Bacalhau
      • Coresets On Bacalhau
      • Genomics Data Generation
      • Gromacs for Analysis
      • Molecular Simulation with OpenMM and Bacalhau
  • References
    • Jobs Guide
      • Job Specification
        • Job Types
        • Task Specification
          • Engines
            • Docker Engine Specification
            • WebAssembly (WASM) Engine Specification
          • Publishers
            • IPFS Publisher Specification
            • Local Publisher Specification
            • S3 Publisher Specification
          • Sources
            • IPFS Source Specification
            • Local Source Specification
            • S3 Source Specification
            • URL Source Specification
          • Network Specification
          • Input Source Specification
          • Resources Specification
          • ResultPath Specification
        • Constraint Specification
        • Labels Specification
        • Meta Specification
      • Job Templates
      • Queuing & Timeouts
        • Job Queuing
        • Timeouts Specification
      • Job Results
        • State
    • CLI Guide
      • Single CLI commands
        • Agent
          • Agent Overview
          • Agent Alive
          • Agent Node
          • Agent Version
        • Config
          • Config Overview
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        • Job
          • Job Overview
          • Job Describe
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          • Job Executions
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        • Node
          • Node Overview
          • Node Approve
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          • Node List
          • Node Describe
          • Node Reject
      • Command Migration
    • API Guide
      • Bacalhau API overview
      • Best Practices
      • Agent Endpoint
      • Orchestrator Endpoint
      • Migration API
    • Node Management
    • Authentication & Authorization
    • Database Integration
    • Debugging
      • Debugging Failed Jobs
      • Debugging Locally
    • Running Locally In Devstack
    • Setting up Dev Environment
  • Help & FAQ
    • Bacalhau FAQs
    • Glossary
    • Release Notes
      • v1.5.0 Release Notes
      • v1.4.0 Release Notes
  • Integrations
    • Apache Airflow Provider for Bacalhau
    • Lilypad
    • Bacalhau Python SDK
    • Observability for WebAssembly Workloads
  • Community
    • Social Media
    • Style Guide
    • Ways to Contribute
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  1. Setting Up
  2. Running Nodes

Test Network Locally

Before you join the main Bacalhau network, you can test locally.

To test, you can use the bacalhau devstack command, which offers a way to get a 3 node cluster running locally.

export PREDICTABLE_API_PORT=1
bacalhau devstack

By settings PREDICTABLE_API_PORT=1 , the first node of our 3 node cluster will always listen on port 20000

In another window, export the following environment variables so that the Bacalhau client binary connects to our local development cluster:

export BACALHAU_API_HOST=127.0.0.1
export BACALHAU_API_PORT=20000

You can now interact with Bacalhau - all jobs are running by the local devstack cluster.

bacalhau docker run ubuntu echo hello
bacalhau job list
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