In this section, we provide guides and references to use the DynamoDB connector.
Configure and schedule DynamoDB metadata workflows from the OpenMetadata UI:
How to Run the Connector Externally
To run the Ingestion via the UI you’ll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check
the following docs to run the Ingestion Framework anywhere.
Requirements
The DynamoDB connector ingests metadata using the DynamoDB boto3 client.
OpenMetadata retrieves information about all tables in the AWS account, the user must have permissions to perform the dynamodb:ListTables operation.
Below defined policy grants the permissions to list all tables in DynamoDB:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"dynamodb:ListTables"
],
"Resource": "*"
}
]
}
For more information on Dynamodb permissions visit the AWS DynamoDB official documentation.
Python Requirements
We have support for Python versions 3.9-3.11
To run the DynamoDB ingestion, you will need to install:
pip3 install "openmetadata-ingestion[dynamodb]"
All connectors are defined as JSON Schemas.
Here
you can find the structure to create a connection to DynamoDB.
In order to create and run a Metadata Ingestion workflow, we will follow
the steps to create a YAML configuration able to connect to the source,
process the Entities if needed, and reach the OpenMetadata server.
The workflow is modeled around the following
JSON Schema
1. Define the YAML Config
2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:
metadata ingest -c <path-to-yaml>
Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration,
you will be able to extract metadata from different sources.
dbt Integration