The Couchbase Columnar offline store provides support for reading CouchbaseColumnarSources. Note that Couchbase Columnar is available through Couchbase Capella.
Entity dataframes can be provided as a SQL++ query or can be provided as a Pandas dataframe. A Pandas dataframe will be uploaded to Couchbase Capella Columnar as a collection.
The Couchbase Columnar offline store does not achieve full test coverage. Please do not assume complete stability.
In order to use this offline store, you'll need to run pip install 'feast[couchbase]'. You can get started by then running feast init -t couchbase.
To get started with Couchbase Capella Columnar:
Sign up for a account
This account should be able to read and write.
Note that timeoutis an optional parameter. The full set of configuration options is available in .
The set of functionality supported by offline stores is described in detail . Below is a matrix indicating which functionality is supported by the Couchbase Columnar offline store.
Below is a matrix indicating which functionality is supported by CouchbaseColumnarRetrievalJob.
To compare this set of functionality against other offline stores, please see the full .
For testing purposes, it is recommended to assign all roles to avoid any permission issues.
Configure allowed IP addresses
You must allow the IP address of the machine running Feast.
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
yes
read partitioned data
yes
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)
no
write_logged_features (persist logged features to offline store)
no
export to dataframe
yes
export to arrow table
yes
export to arrow batches
no
export to SQL
yes
export to data lake (S3, GCS, etc.)
yes
export to data warehouse
yes
project: my_project
registry: data/registry.db
provider: local
offline_store:
type: couchbase.offline
connection_string: COUCHBASE_COLUMNAR_CONNECTION_STRING # Copied from Settings > Connection String page in Capella Columnar console, starts with couchbases://
user: COUCHBASE_COLUMNAR_USER # Couchbase cluster access name from Settings > Access Control page in Capella Columnar console
password: COUCHBASE_COLUMNAR_PASSWORD # Couchbase password from Settings > Access Control page in Capella Columnar console
timeout: 120 # Timeout in seconds for Columnar operations, optional
online_store:
path: data/online_store.db