master

ScyllaDB (contrib)

Description

ScyllaDB is a low-latency and high-performance Cassandra-compatible (uses CQL) database. You can use the existing Cassandra connector to use ScyllaDB as an online store in Feast.

The ScyllaDB online store provides support for materializing feature values into a ScyllaDB or ScyllaDB Cloud cluster for serving online features real-time.

Getting started

Install Feast with Cassandra support:

pip install "feast[cassandra]"

Create a new Feast project:

feast init REPO_NAME -t cassandra

Example (ScyllaDB)

feature_store.yaml
project: scylla_feature_repo
registry: data/registry.db
provider: local
online_store:
    type: cassandra
    hosts:
        - 172.17.0.2
    keyspace: feast
    username: scylla
    password: password

Example (ScyllaDB Cloud)

feature_store.yaml
project: scylla_feature_repo
registry: data/registry.db
provider: local
online_store:
    type: cassandra
    hosts:
        - node-0.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
        - node-1.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
        - node-2.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
    keyspace: feast
    username: scylla
    password: password

The full set of configuration options is available in CassandraOnlineStoreConfig. For a full explanation of configuration options please look at file sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/README.md.

Storage specifications can be found at docs/specs/online_store_format.md.

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 Cassandra plugin.

Cassandra

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

yes

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

no

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.

Resources

PreviousHazelcast (contrib)NextProviders

Last updated