Custom Datasets and Views documentation.
The Spice.ai platform comes pre-loaded with a variety of community datasets.
In addition, you can define and create your own custom and private Datasets and Views, which can then be queried with SQL, cached in Spice Firecache, and published publicly to be shared with others.
To define a dataset, first ensure your Spice app is connected to a GitHub repository, then add a dataset manifest file to the GitHub repository in the .spice/datasets path.
For example:
# .spice/datasets/recent_blocks.yml
name: taxi_trips
type: append
firecache:
enabled: true
trigger: number
time_column: timestampOnce the manifest file is committed to the GitHub repository, navigate to the Datasets section. The newly defined dataset will appear in the datasets list.
Click the dataset Deploy button. Because this dataset was Firecache enabled, the firecache status will now turn to Ready.
Clicking the dataset will show its details along with it's deployments.
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