Fluid Forge
Why Forge
Concepts
Get Started
  • Consume a Data Product
  • See it run
  • Demos
  • Local (DuckDB)
  • Source-Aligned (Postgres → DuckDB)
  • AI Forge + Data Models
  • MCP Output Port — Serve to AI Agents
  • GCP (BigQuery)
  • Snowflake Team Collaboration
  • Declarative Airflow
  • Orchestration Export
  • Jenkins CI/CD
  • Universal Pipeline
  • 11-Stage Production Pipeline
  • Catalog Forge End-to-End
CLI Reference
  • Agent Policy (concept)
  • MCP Output Port — Serve to Agents
  • MCP deep-dive
  • AI-assisted authoring
  • LLM providers & backends
  • Overview
  • Quickstart
  • Examples
  • Your own CI
  • Your own scaffolding
  • Custom validator
  • Apply hook
  • Reference
  • Overview
  • Architecture
  • GCP (BigQuery)
  • AWS (S3 + Athena)
  • Snowflake
  • Local (DuckDB)
  • Custom Providers
  • Roadmap
GitHub
Why Forge
Concepts
Get Started
  • Consume a Data Product
  • See it run
  • Demos
  • Local (DuckDB)
  • Source-Aligned (Postgres → DuckDB)
  • AI Forge + Data Models
  • MCP Output Port — Serve to AI Agents
  • GCP (BigQuery)
  • Snowflake Team Collaboration
  • Declarative Airflow
  • Orchestration Export
  • Jenkins CI/CD
  • Universal Pipeline
  • 11-Stage Production Pipeline
  • Catalog Forge End-to-End
CLI Reference
  • Agent Policy (concept)
  • MCP Output Port — Serve to Agents
  • MCP deep-dive
  • AI-assisted authoring
  • LLM providers & backends
  • Overview
  • Quickstart
  • Examples
  • Your own CI
  • Your own scaffolding
  • Custom validator
  • Apply hook
  • Reference
  • Overview
  • Architecture
  • GCP (BigQuery)
  • AWS (S3 + Athena)
  • Snowflake
  • Local (DuckDB)
  • Custom Providers
  • Roadmap
GitHub
  • Introduction

    • Home
    • Why Fluid Forge
    • Getting Started
    • Snowflake Quickstart
    • See it run
    • Forge Data Model
    • Vision & Roadmap
    • Playground
    • FAQ
  • Concepts

    • Concepts
    • Builds, Exposes, Bindings
    • What is a contract?
    • Quality, SLAs & Lineage
    • Governance & Policy
    • Agent Policy (LLM/AI governance)
    • Providers vs Platforms
    • Fluid Forge vs alternatives
  • Data Products

    • Consume a Data Product
    • Product Types — SDP, ADP, CDP
  • Walkthroughs

    • Walkthrough: Local Development
    • Source-Aligned: Postgres → DuckDB → Parquet
    • AI Forge And Data-Model Journeys
    • Walkthrough: MCP Output Port
    • Walkthrough: Deploy to Google Cloud Platform
    • Walkthrough: Snowflake Team Collaboration
    • Declarative Airflow DAG Generation - The FLUID Way
    • Generating Orchestration Code from Contracts
    • Jenkins CI/CD for FLUID Data Products
    • Universal Pipeline
    • The 11-Stage Pipeline
    • End-to-End Walkthrough: Catalog → Contract → Transformation
  • CLI Reference

    • CLI Reference
    • Core workflow

      • fluid init
      • fluid demo
      • fluid forge
      • fluid validate
      • fluid plan
      • fluid apply
      • fluid diff
      • fluid status
    • Build & ship

      • fluid bundle
      • fluid generate
      • fluid generate artifacts
      • fluid validate-artifacts
      • fluid verify-signature
      • fluid generate iac
      • fluid generate-airflow
      • fluid generate-pipeline
      • fluid viz-graph
      • fluid publish
      • fluid ship
      • fluid rollback
      • fluid schedule-sync
    • AI & Agents

      • fluid ai
      • fluid agents
      • fluid mcp
      • fluid memory
      • fluid stats
      • fluid skills
    • Quality & governance

      • fluid test
      • fluid verify
      • fluid contract-tests
      • fluid contract-validation
      • fluid policy
      • fluid policy check
      • fluid policy compile
      • fluid policy apply
    • Standards & interoperability

      • fluid odps
      • fluid odps-bitol
      • fluid odcs
      • fluid export
      • fluid export-odps
      • fluid exporters
      • fluid import
      • fluid market
      • fluid datamesh-manager
    • Project & workspace

      • fluid product-new
      • fluid product-add
      • fluid workspace
      • fluid contract
      • fluid split
      • fluid config
      • fluid providers
      • fluid plugins
      • fluid provider-init
      • fluid auth
      • fluid secrets
      • fluid ide
      • fluid scaffold-ci
      • fluid scaffold-composer
      • fluid scaffold-ide
      • fluid docs
      • fluid runs
      • fluid retention
      • fluid describe
      • fluid doctor
      • fluid roadmap
      • fluid version
    • Catalog adapters

      • Source Catalog Integration (V1.5)
      • Publishing to a Catalog — Overview
      • BigQuery Catalog
      • Snowflake Horizon Catalog
      • Databricks Unity Catalog
      • Google Dataplex Catalog
      • AWS Glue Data Catalog
      • DataHub Catalog
      • Data Mesh Manager Catalog
      • OpenMetadata Catalog
    • CLI by task

      • CLI by task
      • Add quality rules
      • Add agent governance
      • Debug a failed pipeline run
      • Switch clouds with one line
  • Recipes

    • Recipes
    • Recipe — add a quality rule
    • Recipe — switch clouds with one line
    • Recipe — tag PII in your schema
    • Write a contract that consumes another contract
    • Generate per-environment overlays
  • SDK & Plugins

    • SDK & Plugins
    • Quickstart — your first plugin
    • Examples

      • Runnable examples
      • Example: hello-scaffold — the minimal viable plugin
      • Example: gitlab-ci-scaffold — generate a complete CI project
      • Example: steward-validator — a custom governance rule
      • Example: prod-key-guard — apply-time invariant check
    • Journeys

      • Journeys
      • Your own CI/CD

        • You have your own CI/CD setup, no problem
        • GitLab CI — the bundle template
        • GitHub Actions — the bundle template
        • Jenkins — the bundle template
        • CircleCI — the bundle template
      • You have a strict project layout, no problem
      • You have governance rules, no problem
      • You want a check at apply time, no problem
    • Reference

      • Reference
      • Roles reference
      • Entry points reference
      • Trust model
      • Packaging
      • Companion packages
  • Providers

    • Providers
    • Provider Architecture
    • GCP Provider
    • AWS Provider
    • Snowflake Provider
    • Local Provider
    • Creating Custom Providers
    • Provider Roadmap
  • AI & Agents

    • MCP Server
    • Built-in And Custom Forge Guidance
    • Forge Discovery Guide
    • Forge Memory Guide
    • Authoring Forge Tools
    • Guided fluid forge UX
    • LLM Providers
    • LiteLLM Backend
    • Capability Warnings
    • Cost Tracking
    • FLUID Forge Contract GPT Packet
    • Agentic Primitives
  • Operate & Deploy

    • Airflow Integration
    • Blueprints
    • Source-Aligned Acquisition
  • Govern & Secure

    • Governance, Compliance & the Business Case
    • Governance & Compliance
    • Network Safety
    • Credential Resolver — Security Model
  • Configuration & Reference

    • Environment Variables
    • Typed Errors
    • Typed CLI Errors
    • API Stability — fluid_build.api
  • Architecture & Releases

    • V1.5 Catalog Integration — Architecture Deep-Dive
    • V1.5 + V2 Hardening — Release Notes
  • Project

    • Contributing to Fluid Forge
    • Fluid Forge Docs Baseline: CLI 0.9.0
    • Fluid Forge Docs Baseline: CLI 0.8.11
    • Fluid Forge Docs Baseline: CLI 0.8.10
    • Fluid Forge Docs Baseline: CLI 0.8.9
    • Fluid Forge Docs Baseline: CLI 0.8.8
    • Fluid Forge Docs Baseline: CLI 0.8.7
    • Fluid Forge Docs Baseline: CLI 0.8.6
    • Fluid Forge Docs Baseline: CLI 0.8.5
    • Fluid Forge Docs Baseline: CLI 0.8.4
    • Fluid Forge Docs Baseline: CLI 0.8.3
    • Fluid Forge Docs Baseline: CLI 0.8.0
    • Fluid Forge Docs Baseline: CLI 0.7.11
    • Fluid Forge Docs Baseline: CLI 0.7.9
    • Fluid Forge v0.7.1 - Multi-Provider Export Release

Publishing to a Catalog — Overview

v0.8.3 consolidated catalog publishing under one registry. Contracts opt in via a single key in properties.catalog.register; the matching registrar is constructed from environment configuration at apply / publish time. Three publish-side backends are active today.

Looking for source-side catalog reading (forge a contract from existing catalog metadata)? That's a different flow — see the catalog index for the fluid forge data-model from-source adapters (Snowflake, Databricks Unity, BigQuery, Dataplex, AWS Glue, DataHub, Data Mesh Manager).

Opting a contract in

Add register to your contract's properties.catalog block:

# contract.fluid.yaml
properties:
  catalog:
    register: [datahub, datamesh_manager]    # one or more publish-side backends

That's the entire contract-side surface. The acquisitionCatalog schema block carries only target names (it's additionalProperties: false) — endpoints, tokens, and other deployment config are read from the environment.

Active publish-side backends

BackendReferenceNotes
datahubPublishing to DataHubDataHub GMS REST + MCP. Emits DataProduct + Domain + Datasets + DataContract with full schema, ownership, tags, descriptions. FLUID_LAYER_PROPERTY_ID / FLUID_PRODUCT_TYPE_PROPERTY_ID structured properties surface medallion classification.
openmetadataPublishing to OpenMetadataOpenMetadata REST (Tables + extension fields).
datamesh_managerPublishing to Data Mesh ManagerBidirectional. PUT /api/dataproducts/{id} in ODPS + PUT /api/datacontracts/{product_id}.{expose_id} in ODCS per asset. Emits proper SourceSystem lineage links (Phase 1 of the DMM flow); per-port contractId resolves to a sibling ODCS contract.

How dispatch works

The publish stage (build_runners/_catalog.py) reads properties.catalog.register from the contract, calls build_registrar(target) for each entry to construct the registrar from env config, and pushes a uniform CatalogPublicationPayload to every backend. The shared payload shape means a contract that publishes cleanly to one backend publishes cleanly to all.

Retired registrars — Glue + Snowflake Horizon

The previously-shipped glue and snowflake_horizon publish-side registrars were retired in v0.8.3 (PR #140). The same metadata they used to push at publish time (table descriptions, per-column comments, FLUID classification tags, contract YAML) is now folded into the IaC layer and emitted into aws_glue_catalog_table and snowflake_table resources directly:

  • One source of truth (the contract → IaC pipeline owns the catalog metadata along with the table itself).
  • Drift detection comes free from tofu plan.
  • No more out-of-band registrar writes fighting IaC state.

Contracts that still list glue or snowflake_horizon under properties.catalog.register will get a "not configured" result from build_registrar. The migration is:

  1. Drop glue / snowflake_horizon from properties.catalog.register.
  2. Run fluid apply against the cloud provider as usual — aws / gcp / snowflake providers auto-route through OpenTofu, which now owns the catalog metadata. See fluid generate iac for the emit-and-review path.
  3. aws_glue_catalog_table.parameters and snowflake_table comments now carry the same metadata.

Databricks Unity Catalog

A Databricks Unity Catalog read adapter still exists under fluid_build/copilot/catalog/unity.py and powers fluid forge data-model from-source --source unity (see the Unity catalog adapter page). The publish-side Unity registrar was dropped — the OSS Unity Catalog server's strict v0.4+ table-create validation made round-tripping the canonical payload too fragile for a generic publish path. Databricks-hosted UC remains addressable via the upstream Databricks SDK if needed.

See also

  • fluid publish — the user-facing publish command
  • Source-side catalog index — forge contracts from catalog metadata
  • Network safety — SSRF posture on catalog HTTP calls
  • fluid generate iac — the IaC layer that absorbed Glue + Snowflake Horizon metadata
Edit this page on GitHub
Last Updated: 5/25/26, 5:34 PM
Contributors: fas89, Claude Opus 4.7 (1M context)
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