dbt-materialize 1.1.0

The Materialize adapter plugin for dbt (data build tool).

dbt-materialize

dbt adapter for Materialize.

For a complete step-by-step guide on how to use dbt and Materialize, check the documentation.

Installation

dbt-materialize is available on PyPI. To install the latest version via pip (optionally using a virtual environment), run:

python3 -m venv dbt-venv         # create the virtual environment
source dbt-venv/bin/activate     # activate the virtual environment
pip install dbt-materialize      # install the adapter

Requirements

dbt-materialize requires Materialize v0.20.0+.

Configuring your profile

To connect to a Materialize instance, use the reference profile configuration in your connection profile:

dbt-materialize:
  target: dev
  outputs:
    dev:
      type: materialize
      threads: 1
      host: [host]
      port: [port]
      user: materialize
      pass: [password]
      dbname: [database]
      schema: [name of your dbt schema]

Complete sample profiles (including for Materialize Cloud) can be found in sample_profiles.yml.

Supported Features

Materializations

Type	Supported?	Details
source	YES	Creates a source.
view	YES	Creates a view.
materializedview	YES	Creates a materialized view.
table	YES	Creates a materialized view. (Actual table support pending #5266.)
index	YES	(Deprecated) Creates an index. Use the indexes config to create indexes on materializedview, view or source relations instead.
sink	YES	Creates a sink.
ephemeral	YES	Executes queries using CTEs.
incremental	NO	Use the materializedview materialization instead! dbt's incremental models are valuable because they only spend your time and money transforming your new data as it arrives. Luckily, this is exactly what Materialize's materialized views were built to do! Better yet, our materialized views will always return up-to-date results without manual or configured refreshes. For more information, check out our documentation.

Additional macros

Macro	Purpose
mz_generate_name(identifier)	Generates a fully-qualified name (including the database and schema) given an object name.

We provide a materialize-dbt-utils package with Materialize-specific implementations of dispatched macros from dbt-utils. To use this package in your dbt project, check the latest installation instructions in dbt Hub.

Seeds

dbt seed will create a static materialized view from a CSV file. You will not be able to add to or update this view after it has been created.

Hooks

Not tested.

Custom Schemas

Not tested.

Sources

Not tested.

Testing and Documentation

dbt docs and dbt test commands are supported.

Snapshots

Not supported. Support is not planned for the near term.

Contributors

A huge thank you to Josh Wills, who created the original version of this adapter.