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  1. Reference
  2. Offline stores

DuckDB

PreviousRedshiftNextSpark (contrib)

Last updated 6 months ago

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Description

The duckdb offline store provides support for reading . It can read both Parquet and Delta formats. DuckDB offline store uses under the hood to convert offline store operations to DuckDB queries.

  • Entity dataframes can be provided as a Pandas dataframe.

Getting started

In order to use this offline store, you'll need to run pip install 'feast[duckdb]'.

Example

feature_store.yaml
project: my_project
registry: data/registry.db
provider: local
offline_store:
    type: duckdb
online_store:
    path: data/online_store.db

Functionality Matrix

DuckdDB

get_historical_features (point-in-time correct join)

yes

pull_latest_from_table_or_query (retrieve latest feature values)

yes

pull_all_from_table_or_query (retrieve a saved dataset)

yes

offline_write_batch (persist dataframes to offline store)

yes

write_logged_features (persist logged features to offline store)

yes

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

DuckDB

export to dataframe

yes

export to arrow table

yes

export to arrow batches

no

export to SQL

no

export to data lake (S3, GCS, etc.)

no

export to data warehouse

no

export as Spark dataframe

no

local execution of Python-based on-demand transforms

yes

remote execution of Python-based on-demand transforms

no

persist results in the offline store

yes

preview the query plan before execution

no

read partitioned data

yes

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

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

FileSources
ibis
here
functionality matrix