Bacalhau Docs
GithubSlackBlogEnterprise
v1.5.x
  • Documentation
  • Use Cases
  • CLI & API
  • References
  • Community
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
          • Config Auto-Resources
          • Config Default
          • Config List
          • Config Set
        • Job
          • Job Overview
          • Job Describe
          • Job Exec
          • Job Executions
          • Job History
          • Job List
          • Job Logs
          • Job Run
          • Job Stop
        • Node
          • Node Overview
          • Node Approve
          • Node Delete
          • 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
Powered by GitBook
LogoLogo

Use Cases

  • Distributed ETL
  • Edge ML
  • Distributed Data Warehousing
  • Fleet Management

About Us

  • Who we are
  • What we value

News & Blog

  • Blog

Get Support

  • Request Enterprise Solutions

Expanso (2025). All Rights Reserved.

On this page
  • State Structure Specification
  • State Parameters
  • Job State Types

Was this helpful?

Export as PDF
  1. References
  2. Jobs Guide
  3. Job Results

State

PreviousJob ResultsNextCLI Guide

Was this helpful?

State Structure Specification

Within Bacalhau, the State structure is designed to represent the status or state of an object (like a ), coupled with a human-readable message for added context. Below is a breakdown of the structure:

State Parameters

  1. StateType (T : <required>): Represents the current state of the object. This is a generic parameter that will take on a specific value from a set of defined state types for the object in question. For jobs, this will be one of the values.

  2. Message (string : <optional>): A human-readable message giving more context about the current state. Particularly useful for states like Failed to provide insight into the nature of any error.

Job State Types

When State is used for a job, the StateType can be one of the following:

  1. Pending: This indicates that the job is submitted but is not yet scheduled for execution.

  2. Running: The job is scheduled and is currently undergoing execution.

  3. Completed: This state signifies that a job has successfully executed its task. Only applicable for batch jobs.

  4. Failed: A state indicating that the job encountered errors and couldn't successfully complete.

  5. JobStateTypeStopped: The job has been intentionally halted by the user before its natural completion.

The inclusion of the Message field can offer detailed insights, especially in states like Failed, aiding in error comprehension and debugging.

Job
JobStateType