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ScyllaDB Cloud online store

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)

{% code title="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

{% endcode %}

Example (ScyllaDB Cloud)

{% code title="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

{% endcode %}

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