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Integrate ScyllaDB and Feast¶
Feast is a popular open-source feature store for production ML. You can use several online stores when using Feast, including ScyllaDB. ScyllaDB, a low-latency and high-throughput database, serves perfectly as an online store. In this section, you’ll see how you can integrate your ScyllaDB Cloud database with Feast as an online store.
If you want to learn more about Feast, read the Feast documentation.
Feast + ScyllaDB online store configuration example¶
Feast ships with a native ScyllaDB online store connector, built on the scylla-driver Python package.
To set up ScyllaDB as a Feast online store you need to
Install Feast with the ScyllaDB extra
Edit the Feast configuration file
Install Feast with the ScyllaDB extra¶
pip install feast[scylladb]
Edit the Feast configuration file¶
# feature_store.yaml
project: repo
registry: data/registry.db
provider: local
online_store:
type: scylladb
hosts:
- node-0.aws_us_east_1.xxxxxxx.clusters.scylla.cloud
- node-1.aws_us_east_1.xxxxxxx.clusters.scylla.cloud
- node-2.aws_us_east_1.xxxxxxx.clusters.scylla.cloud
username: scylla
password: xxxxxxx
keyspace: feast
local_dc: AWS_US_EAST_1
entity_key_serialization_version: 3
Key configuration options for the scylladb online store:
hosts: contact-point addresses of your cluster (required)port: CQL port (default:9042)keyspace: target keyspace (default:feast_keyspace)username/password: authentication credentialslocal_dc: datacenter name used for DC-aware load balancing (required for ScyllaDB Cloud, e.g.AWS_US_EAST_1)read_concurrency/write_concurrency: number of concurrent in-flight statements (default:100each)vector_similarity_function: default similarity function for vector search —COSINE,DOT_PRODUCT, orEUCLIDEAN(default:COSINE)
For more information, read the Feast documentation.