Hazelcast

Description

The Hazelcast online store provides support for materializing feature values into a Hazelcast cluster for serving online features in real-time. In order to use Hazelcast as an online store, you need to have a running Hazelcast cluster. See this getting started page for more details.

  • Each feature view is mapped one-to-one to a specific Hazelcast IMap

  • This implementation inherits all strengths of Hazelcast such as high availability, fault-tolerance, and data distribution.

  • Secure TSL/SSL connection is supported by Hazelcast online store.

  • You can set TTL (Time-To-Live) setting for your features in Hazelcast cluster.

Each feature view corresponds to an IMap in Hazelcast cluster and the entries in that IMap correspond to features of entities. Each feature value stored separately and can be retrieved individually.

Getting started

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

Examples

feature_store.yaml
project: my_feature_repo
registry: data/registry.db
provider: local
online_store:
  type: hazelcast
  cluster_name: dev
  cluster_members: ["localhost:5701"]
  key_ttl_seconds: 36000

Functionality Matrix

Hazelcast

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

yes

support for deleting expired data

yes

collocated by feature view

no

collocated by feature service

no

collocated by entity key

yes

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

Last updated