DynamoDB

Chalk supports DynamoDB as a natively accelerated SQL source. After connecting your AWS credentials, you will be able to query your DynamoDB instance through Chalk with PartiQL.

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Adding DynamoDB

Follow the AWS instructions to give Chalk access to application credentials for your AWS account. Chalk will use these credentials to access DynamoDB.

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Integration

Add your DynamoDB data source in a Python file and give it a name. This line is required for all DynamoDB integrations. In this file, we’ll also define a User feature class with a transaction_volume feature which will be resolved with DynamoDB.

from chalk.features import features
from chalk.sql import DynamoDBSource

DynamoDBSource(name="my_dynamo")  # required for Chalk to be aware of this source

@features
class User:
    id: str
    transaction_volume: float

Now, you are all set to use DynamoDB with SQL file resolvers:

-- type: online
-- resolves: user
-- source: my_dynamo
SELECT
    id,
    TransactionVolume AS transaction_volume
FROM
    UserTable
LIMIT 10

This file resolves the User.transaction_volume feature. Please note that the --source: my_dynamo line is necessary and should match the name provided to your DynamoDBSource.

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Chalk's DynamoDB Query Language

Chalk uses PartiQL to execute SQL queries on your DynamoDB connection. Chalk extends PartiQL to support aliasing and limits: you can rename your result columns to match your feature names and limit results. The above example demonstrates aliasing with TransactionVolume AS transaction_volume.

Chalk extends PartiQL with the following syntax:

--- Amazon PartiQL
SELECT expression  [, ...]
FROM table[.index]
[ WHERE condition ] [ ORDER BY key [DESC|ASC] , ...]

--- Chalk PartiQL
SELECT expression [AS alias] [, ...]
FROM table[.index]
[ WHERE condition ] [ ORDER BY key [DESC|ASC] , ...]
[ LIMIT limit ]

You can also use batch execution with PartiQL to retrieve multiple records in a single request via ChalkClient.query_bulk. Batch execution is only supported for single table queries.