Change Data Capture for feature groups#
Introduction#
Changes to online-enabled feature groups can be captured by listening to events on specified topics. This optimizes the user experience by allowing users to proactively make predictions as soon as there is an update on the features.
In this guide you will learn how to enable Change Data Capture (CDC) for online feature groups within Hopsworks, showing examples in HSFS APIs as well as the user interface.
Prerequisites#
Before you begin this guide we suggest you read the Feature Group concept page to understand what a feature group is and how it fits in the ML pipeline. Subsequently create a Kafka topic, this topic will be used for storing Change Data Capture events.
Using HSFS APIs#
Create a Feature Group with Change Data Capture#
To enable Change Data Capture for an online-enabled feature group using the HSFS APIs you need to create a feature group and set the notification_topic_name
properties value to the previously created topic.
fg = fs.create_feature_group(
name="feature_group_name",
version=feature_group_version,
primary_key=feature_group_primary_keys,
online_enabled=True,
notification_topic_name="notification_topic_name")
Update Feature Group Change Data Capture topic#
The notification topic name can be changed after the creation of the feature group. By setting the notification_topic_name
value to None
or empty string notification will be disabled. With the default configuration, it can take up to 30 minutes for these changes to take place since the onlinefs service internally caches feature groups.
fg.update_notification_topic_name(
notification_topic_name="new_notification_topic_name")
Using UI#
Create a Feature Group with Change Data Capture#
During the creation of the feature group enable online feature serving. When enabled you will be able to set the CDC topic name
property.
Update Feeature Group with Change Data Capture topic#
The notification topic name can be changed after creation by editing the feature group. By setting the CDC topic name
value to empty the notifications will be disabled. With the default configuration, it can take up to 30 minutes for these changes to take place since the onlinefs service internally caches feature groups.
Example of Change Data Capture event#
Once properly set up the online feature store service will produce events to the provided topic when data ingestion is completed for records.
Here is an example output:
{
"projectId":119, # project used for data ingestion
"featureStoreId":67, # feature store where changes took place
"featureGroupId":14, # feature group changed
"entry":{ # values of the affected feature group entry
"id":"15",
"text":"test"
},
"featureViews":[ # list of feature views affected
{
"id":9, # id of the feature view
"name":"test", # name of the feature view
"version":1, # version of the feature view
"featurestoreId":67 # feature store where feature view resides
}
]
}
The list of featureViews
in the event could be outdated for up to 10 minutes, due to internal logging in onlinefs service.