dbt-labs/dbt-fusion là dự án mã nguồn mở trên GitHub, viết chủ yếu bằng Rust, với 725 sao. ARCHIVE: code & issue tracking in dbt-core
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dbt F✦SION engine (BETA)
This repo hosts components of the dbt Fusion engine, the foundation for future innovation in dbt. The dbt Fusion engine is written in Rust and is designed for speed, correctness, and has a native understanding of SQL across multiple data warehouse SQL dialects.
[!IMPORTANT] Note: the dbt Fusion Engine is in Beta!
Bugs and missing functionality compared to dbt Core will be resolved continuously in the leadup to a final release (more info: the dbt Fusion Engine: the Path to GA).
The dbt Fusion engine is a ground up, first principles rewrite of the dbt Core execution engine, built to be interoperable with the standard dbt authoring layer. Fusion enforces some ambiguous areas of the authoring spec more strictly than dbt Core to ensure correctness (for example, dbt Core does not proactively validate most YAML configurations). Many of these discrepancies can be fixed automatically with the dbt Autofix tool.
Beyond conformance with dbt Core, Fusion also contains new SQL Comprehension capabilities, a language server, modern ADBC drivers for warehouse connections, and more. While dbt Core was written in Python, the dbt Fusion engine is written in Rust, and compiled to a single application binary.
You can install dbt-fusion onto your local machine, a docker container, or a machine in the cloud. It is designed for flexible installation, with no dependencies on other libraries. The only libraries that dbt Fusion will load are it's corresponding database drivers.
The dbt Fusion engine is being released to this repository incrementally, so, until this note is removed this repository contains only a subset of the crates that make the core of the engine work. These crates are published incrementally starting on May 28.
Getting Started with the dbt Fusion engine
[!TIP]
You don't have to build this project from source to use the new dbt! We recommend using the precompiled binary with additional capabilities:
There are several ways to get started with Fusion (for more, see the Quickstart for the dbt Fusion engine)
Download dbt the vs-code extension - For most people the best experience. This will install the dbt fusion CLI and Language Server on your system - see the docs page: Install the dbt VS Code extension.
Install Fusion Directly Install just the fusion CLI with the command below or see dbt's documentation: About Fusion installation
curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update
Build Fusion from Source - See the below section: Compiling from Source
Supported Operating Systems and CPU Microarchitectures
Fusion & associated drivers are compiled for each CPU microarchitecture and operating system independently. This allows for hardware level optimization.
Legend:
🟢 - Supported today
🟡 - Unsupported today
Operating System
X86-64
ARM
MacOS
🟢
🟢
Linux
🟢
🟢
Windows
🟢
🟡
Timeline
Target Date
Milestone
Description
2025-05-28
Initial release of Fusion
Published source code of parser, schemas, dbt-jinja, and Snowflake ADBC driver
2025-06-09
Databricks Adapter release
Databricks ADBC driver, and adapter for Fusion
2025-06-30
BigQuery Adapter release
BigQuery ADBC driver, and adapter for Fusion
2025-07-31
Redshift Adapter release
Redshift ADBC driver, and adapter for Fusion
2025-09-30
OSS Adapters
Adapter components published under Apache 2.0 license
TBD
ANTLR Grammars
SQL dialect grammars used by the ANTLR parser generator
Top Level Components Released to Date
Releases of various Fusion components will be iterative as each component reaches maturity & readiness for contribution.
dbt-jinja - All Rust extension of mini-jinja to support dbt's jinja functions & other capabilities
dbt-parser - Rust parser for dbt projects
dbt-schemas - Complete, correct, machine-generated jsonschemas for dbt's properties and configurations
dbt-adapter - adapters for supported data warehouses
snowflake
databricks
bigquery
redshift
dbt-xdbc - Rust wrapper for ADBC and ODBC drivers
dbt-auth - Auth for all supported warehouses and database systems
dbt-agate - Rust port of the Python agate library
dbt-sql - ANTLR grammars and generated parsers
bigquery.g4
databricks.g4
redshift.g4
snowflake.g4
Fusion: comprehensive release of the (source-available) dbt Fusion engine.
FAQ
Can I contribute to the dbt Fusion engine?
Yes absolutely!. Please see CONTRIBUTING.md for contribution guidelines
How is dbt Fusion different from dbt Core?
The dbt Fusion engine is a ground-up rewrite of dbt Core, with many additional capabilities.
*Things that are the same:*
* The YML authoring format including profiles, configuration, seeds, data tests, and unit tests
* The materialization libraries
* dbt's library managemenet system (although `dbt deps` are installed automatically)
Additional capabilities provided by Fusion:
All new Arrow Database Connector (ADBC) drivers for faster data transfers and unified connection handling
A language server and corresponding VS-Code extension (compatible with Cursor) for ease of development
Standalone distribution. No JVM, or python required.
Automatic installation of dependencies, whether that's a dbt package, or database driver
dbt code-signed & secure distributions
This repo doesn't have all of dbt's functionality, when will the rest come?
dbt Fusion's source code is being published as components are finalized. Please see the above section: [Timeline](#timeline).
Can I use dbt Fusion today?
State
Description
Workaround
Resolvable by
Unblocked
You can adopt the dbt Fusion engine with no changes to your project
---
---
Soft blocked
Your project contains functionality (for more info: How to get ready for the new dbt engine.
Resolve deprecations with the dbt-autofix script or workflow in dbt Studio
Users
Hard blocked
Your project contains Python models or uses a not-yet-supported adapter
Remove unsupported functionality if possible
dbt Labs
Compiling from Source
The primary CLI in this repository is the dbt-sa-cli. To compile the CLI, you need the Rust toolchain.
Let's start with Rust, run the following command to install Rust on your machine:
Linux:
sudo ./scripts/setup_dev_env_linux.sh
Mac:
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
Great! We have Rust installed. To confirm, run the following command:
cargo -v
You should see a printout like:
Rust's package manager
Usage: cargo [+toolchain] [OPTIONS] [COMMAND]
cargo [+toolchain] [OPTIONS] -Zscript <MANIFEST_RS> [ARGS]...
Options:
-V, --version Print version info and exit
...
Cargo is Rust's build system and package manager. If you're familiar with Python, pip would be a sufficient comparison. We'll use cargo to run command to build the local dbt-sa-cli binary and run helper scripts via cargo xtask. More on that later.
To build the binary locally, cd to the this repo's directory and run:
cargo build
This will compile our Rust code into the dbt-sa-cli binary. After this completes, you should see a new executable in target/debug/dbt-sa-cli. You can run this executable by passing the path directly into the CLI, so if you're in the root of this git repo, you can run:
You might be wondering why it was built into the debug directory - this is because our default profile is debug when running cargo build. Our debug profile compiles the code faster, but sacrifices optimizations to do so. Therefore, if you want to benchmark the parser, build with the flag cargo build --release. The compile will take longer, but the build will mimic the experience of the end user.
If you expect to use this executable often, we recommend creating an alias for it in your ~/.zshrc. To do so, start by getting the absolute path to the executable with:
cd target/debug && pwd
Running Tests
To run tests, increase the stack size and use nextest.
RUST_MIN_STACK=8388608 cargo nextest run --no-fail-fast
License
The dbt Fusion engine is a monorepo and contains more than one License. Most code is licensed under ELv2. For more, please see LICENSES.md.
Acknowledgments
To the dbt community: dbt the tool & dbt Labs the company would not be here without the incredible community of authors, contributors, practitioners, and enthusiasts. dbt Fusion is an evolution of that work & stands on the shoulders of what has come before.
To the Arrow Community: dbt Labs is committing fully to the Arrow ecosystem. Fusion exclusively uses the Arrow type system from drivers through adapters into the internals of the compiler & runtime.
To the DataFusion Community: The intermediate representation of the SQL compiler is the DataFusion logical plan which has proven to be pragmatic, extensible, and easy to work with in all the right ways.
Thank you all. dbt, Arrow, and DataFusion have become truly global software projects. dbt Labs is committed to contributing meaningfully to these efforts over the coming months and years.
dbt-labs/dbt-fusion có 725 sao GitHub — tải lại trang để xem số mới nhất, hoặc xem trực tiếp github.com/dbt-labs/dbt-fusion. TopGit phản chiếu số sao của GitHub nhưng không cam kết đến từng phút.
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dbt-labs/dbt-fusion còn đang phát triển không?
Commit gần nhất trên dbt-labs/dbt-fusion là 1 tháng trước (theo timestamp GitHub). Repo có 126 fork — một chỉ báo về mức độ quan tâm của cộng đồng.
dbt-labs/dbt-fusion là gì?
dbt-labs/dbt-fusion (dbt-labs/dbt-fusion) là dự án Rust trên GitHub. Theo mô tả gốc: ARCHIVE: code & issue tracking in dbt-core
dbt-labs/dbt-fusion viết bằng ngôn ngữ gì?
dbt-labs/dbt-fusion chủ yếu viết bằng Rust. Trường "language" của GitHub dựa trên phần lớn byte ở nhánh mặc định.
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