> For the complete documentation index, see [llms.txt](https://listen-lavender.gitbook.io/prefect-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://listen-lavender.gitbook.io/prefect-docs/tutorial/scalingout.md).

# 水平扩展

> 跟随终端演示：
>
> ```bash
> cd examples/tutorial
> python 06_parallel_execution.py
> ```

让我们调整flow以将其task分配到[Dask](https://dask.org/)集群上并行执行。听起来可能要做很多，但实际上这是迄今为止最简单的调整：

```python
from prefect.engine.executors import DaskExecutor

# ...task definitions...

# ...flow definition...

flow.run(executor=DaskExecutor())
```

这将启动系统上的[Local Dask Cluster](https://distributed.dask.org/en/latest/local-cluster.html)以并行化task。如果你已经在其他地方部署Dask集群，则可以通过在**DaskExecutor**构造函数中指定地址参数来使用该集群：

```python
flow.run(
    executor=DaskExecutor(
        address='some-ip:port/to-your-dask-scheduler'
        )
    )
```

此外，只要提供的对象实现**Executor**接口（即Submit，Map和Wait函数，等同于Python的**current.futures.Executor**接口），可以定制化**Executor**以用于任何Prefect flow。这样可算是没有使用的天花板！

接下来，Prefect还能做什么呢？

* [Prefect官网](https://www.prefect.io/)
* [英版原文](https://docs.prefect.io/core/tutorial/06-parallel-execution.html)
* [联系译者](https://github.com/listen-lavender)


---

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