AI prompts
base on Stream your Postgres data anywhere in real-time. Simple Rust building blocks for change data capture (CDC) pipelines. <br />
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<img alt="ETL by Supabase" width="100%" src="docs/assets/etl-logo-extended.png">
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<h1 align="center">ETL</h1>
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<br />
Build real-time Postgres replication applications in Rust
<br />
<a href="https://supabase.github.io/etl"><strong>Documentation</strong></a>
·
<a href="https://github.com/supabase/etl/tree/main/etl-examples"><strong>Examples</strong></a>
·
<a href="https://github.com/supabase/etl/issues"><strong>Issues</strong></a>
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ETL is a Rust framework by [Supabase](https://supabase.com) for building high‑performance, real‑time data replication apps on Postgres. It sits on top of Postgres [logical replication](https://www.postgresql.org/docs/current/protocol-logical-replication.html) and gives you a clean, Rust‑native API for streaming changes to your own destinations.
## Highlights
- 🚀 Real‑time replication: stream changes as they happen
- ⚡ High performance: batching and parallel workers
- 🛡️ Fault tolerant: retries and recovery built in
- 🔧 Extensible: implement custom stores and destinations
- 🧭 Typed, ergonomic Rust API
## Get Started
Install via Git while we prepare for a crates.io release:
```toml
[dependencies]
etl = { git = "https://github.com/supabase/etl" }
```
Quick example using the in‑memory destination:
```rust
use etl::{
config::{BatchConfig, PgConnectionConfig, PipelineConfig, TlsConfig},
destination::memory::MemoryDestination,
pipeline::Pipeline,
store::both::memory::MemoryStore,
};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let pg = PgConnectionConfig {
host: "localhost".into(),
port: 5432,
name: "mydb".into(),
username: "postgres".into(),
password: Some("password".into()),
tls: TlsConfig { enabled: false, trusted_root_certs: String::new() },
};
let store = MemoryStore::new();
let destination = MemoryDestination::new();
let config = PipelineConfig {
id: 1,
publication_name: "my_publication".into(),
pg_connection: pg,
batch: BatchConfig { max_size: 1000, max_fill_ms: 5000 },
table_error_retry_delay_ms: 10_000,
max_table_sync_workers: 4,
};
let mut pipeline = Pipeline::new(config, store, destination);
pipeline.start().await?;
// pipeline.wait().await?; // Optional: block until completion
Ok(())
}
```
For tutorials and deeper guidance, see the [Documentation](https://supabase.github.io/etl) or jump into the [examples](etl-examples/README.md).
## Destinations
ETL is designed to be extensible. You can implement your own destinations to send data to any destination you like, however it comes with a few built in destinations:
- BigQuery
Out-of-the-box destinations are available in the `etl-destinations` crate:
```toml
[dependencies]
etl = { git = "https://github.com/supabase/etl" }
etl-destinations = { git = "https://github.com/supabase/etl", features = ["bigquery"] }
```
## License
Apache‑2.0. See `LICENSE` for details.
---
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Made with ❤️ by the <a href="https://supabase.com">Supabase</a> team
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