chore(docs): add RayTaskRunner doc example using runtime_env #14138
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parkedwards
requested review from
desertaxle,
zzstoatzz and
a team
as code owners
parkedwards
commented
Jun 19, 2024
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| For example, this flow uses the `RayTaskRunner` configured to access an existing Ray instance at `ray://192.0.2.255:8786`. It specifies `runtime_env` to ensure that the Ray workers have the [dependencies](https://docs.ray.io/en/latest/ray-core/handling-dependencies.html#runtime-environments) they need. | ||
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| ```python hl_lines="4" | ||
| from prefect import flow | ||
| from prefect_ray.task_runners import RayTaskRunner | ||
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| @flow(task_runner=RayTaskRunner(address="ray://192.0.2.255:8786")) | ||
| @flow( | ||
| task_runner=RayTaskRunner( | ||
| address="ray://192.0.2.255:8786", | ||
| init_kwargs={"runtime_env": {"pip": ["prefect-ray"]}}, | ||
| ) | ||
| ) |
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this is the actual change
mitchnielsen
approved these changes
Jun 19, 2024
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resolves #14099
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maintenance,fix,feature,enhancement,docs.<link to issue>"mint.json.