Trino (contrib)


The Trino offline store provides support for reading TrinoSources.

  • Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. A Pandas dataframes will be uploaded to Trino as a table in order to complete join operations.


The Trino offline store does not achieve full test coverage. Please do not assume complete stability.

Getting started

In order to use this offline store, you'll need to run pip install 'feast[trino]'. You can then run feast init, then swap out feature_store.yaml with the below example to connect to Trino.


project: feature_repo
registry: data/registry.db
provider: local
    type: feast_trino.trino.TrinoOfflineStore
    host: localhost
    port: 8080
    catalog: memory
        type: memory
    path: data/online_store.db

The full set of configuration options is available in TrinoOfflineStoreConfig.

Functionality Matrix

The set of functionality supported by offline stores is described in detail here. Below is a matrix indicating which functionality is supported by the Trino offline store.

Below is a matrix indicating which functionality is supported by TrinoRetrievalJob.

To compare this set of functionality against other offline stores, please see the full functionality matrix.

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