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DynamoDB online store

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

{% code title="feature_store.yaml" %}

project: my_feature_repo
registry: data/registry.db
provider: aws
online_store:
  type: dynamodb
  region: us-west-2

{% endcode %}

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:

{
    "Statement": [
        {
            "Action": [
                "dynamodb:CreateTable",
                "dynamodb:DescribeTable",
                "dynamodb:DeleteTable",
                "dynamodb:BatchWriteItem",
                "dynamodb:BatchGetItem"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:dynamodb:<region>:<account_id>:table/*"
            ]
        }
    ],
    "Version": "2012-10-17"
}

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.