Cassandra + Astra DB
Description
The [Cassandra / Astra DB] online store provides support for materializing feature values into an Apache Cassandra / Astra DB database for online features.
The whole project is contained within a Cassandra keyspace
Each feature view is mapped one-to-one to a specific Cassandra table
This implementation inherits all strengths of Cassandra such as high availability, fault-tolerance, and data distribution
Getting started
In order to use this online store, you'll need to run pip install 'feast[cassandra]'
. You can then get started with the command feast init REPO_NAME -t cassandra
.
Example (Cassandra)
Example (Astra DB)
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 online store.
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.
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