# Run Meltano jobs from Dagster

> Tap into open-source configurable ETL and the Singer integration library.

Source: https://dagster.io/integrations/dagster-meltano
Category: ETL / Reverse ETL

## About this integration

The `dagster-meltano` library allows you to run Meltano using Dagster. Design and configure ingestion jobs using the popular [Singer.io](https://singer.io) specification.

Note that this integration can also be [managed from the Meltano platform](https://hub.meltano.com/utilities/dagster/) using `meltano add utility dagster` and configured using `meltano config dagster set --interactive`.

## Installation

```bash
pip install dagster-meltano
```

## Example

An example of running an abitrary Meltano run command:

```python
from dagster import repository, job
from dagster_meltano import meltano_resource, meltano_run_op

@job(resource_defs={"meltano": meltano_resource})
def meltano_run_job():
    tap_done = meltano_run_op("tap-1 target-1")()
    meltano_run_op("tap-2 target-2")(tap_done)

@repository()
def repository():
    return [meltano_run_job]
```

## About Meltano

[Meltano](https://meltano.com/) provides data engineers with a set ot tools for easily creating and managing pipelines as code by providing a wide array of composable connectors. Meltano's 'CLI for ELT+' lets you test your changes before they go live.

## About Quantile

Quantile is an expert data consultancy based in the Netherlands. You can find out more at [quantile.nl](https://quantile.nl/).