DynamoDB
Description
The DynamoDB online store provides support for materializing feature values into AWS DynamoDB.
Getting started
In order to use this online store, you'll need to run pip install 'feast[aws]'
. You can then get started with the command feast init REPO_NAME -t aws
.
Example
The full set of configuration options is available in DynamoDBOnlineStoreConfig.
Permissions
Feast requires the following permissions in order to execute commands for DynamoDB online store:
Command | Permissions | Resources |
Apply | dynamodb:CreateTable dynamodb:DescribeTable dynamodb:DeleteTable | arn:aws:dynamodb:<region>:<account_id>:table/* |
Materialize | dynamodb.BatchWriteItem | arn:aws:dynamodb:<region>:<account_id>:table/* |
Get Online Features | dynamodb.BatchGetItem | arn:aws:dynamodb:<region>:<account_id>:table/* |
The following inline policy can be used to grant Feast the necessary permissions:
Lastly, this IAM role needs to be associated with the desired Redshift cluster. Please follow the official AWS guide for the necessary steps here.
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 DynamoDB online store.
DynamoDB | |
---|---|
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 | 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.