Couchbase

NOTE: This is a community-contributed online store that is in alpha development. It is not officially supported by the Feast project.

Description

The Couchbase online store provides support for materializing feature values into a Couchbase Operational cluster for serving online features in real-time.

• Only the latest feature values are persisted

• Features are stored in a document-oriented format

The data model for using Couchbase as an online store follows a document format:

• Document ID: {project}:{table_name}:{entity_key_hex}:{feature_name}

• Document Content:

  • metadata:

    • event_ts (ISO formatted timestamp)

    • created_ts (ISO formatted timestamp)

    • feature_name (String)

  • value (Base64 encoded protobuf binary)

Getting started

In order to use this online store, you'll need to run pip install 'feast[couchbase]'. You can then get started with the command feast init REPO_NAME -t couchbase.

To get started with Couchbase Capella Operational:

1. Sign up for a Couchbase Capella account
2. Deploy an Operational cluster
3. Create a bucket

   • This can be named anything, but must correspond to the bucket described in the feature_store.yaml configuration file.

4. Create cluster access credentials

   • These credentials should have full access to the bucket created in step 3.

5. Configure allowed IP addresses

   • You must allow the IP address of the machine running Feast.

Example

feature_store.yaml

project: my_feature_repo
registry: data/registry.db
provider: local
online_store:
  type: couchbase
  connection_string: couchbase://127.0.0.1 # Couchbase connection string, copied from 'Connect' page in Couchbase Capella console
  user: Administrator  # Couchbase username from access credentials
  password: password  # Couchbase password from access credentials
  bucket_name: feast  # Couchbase bucket name, defaults to feast
  kv_port: 11210  # Couchbase key-value port, defaults to 11210. Required if custom ports are used. 
entity_key_serialization_version: 2

The full set of configuration options is available in CouchbaseOnlineStoreConfig.

Functionality Matrix

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

	Couchbase
write feature values to the online store	yes
read feature values from the online store	yes
update infrastructure (e.g. tables) in the online store	yes
teardown infrastructure (e.g. tables) in the online store	yes
generate a plan of infrastructure changes	no
support for on-demand transforms	yes
readable by Python SDK	yes
readable by Java	no
readable by Go	no
support for entityless feature views	yes
support for concurrent writing to the same key	yes
support for ttl (time to live) at retrieval	no
support for deleting expired data	no
collocated by feature view	yes
collocated by feature service	no
collocated by entity key	no

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