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---
title: Run DynamoDB Connector using the CLI
slug: /v1.0.0/connectors/database/dynamodb/cli
---
# Run DynamoDB using the metadata CLI
{% multiTablesWrapper %}
| Feature | Status |
| :----------------- | :--------------------------- |
| Stage | PROD |
| Metadata | {% icon iconName="check" /%} |
| Query Usage | {% icon iconName="cross" /%} |
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| Data Profiler | {% icon iconName="cross" /%} |
| Data Quality | {% icon iconName="cross" /%} |
| Lineage | {% icon iconName="cross" /%} |
| DBT | {% icon iconName="cross" /%} |
| Supported Versions | -- |
| Feature | Status |
| :----------- | :--------------------------- |
| Lineage | {% icon iconName="cross" /%} |
| Table-level | {% icon iconName="cross" /%} |
| Column-level | {% icon iconName="cross" /%} |
{% /multiTablesWrapper %}
In this section, we provide guides and references to use the DynamoDB connector.
Configure and schedule DynamoDB metadata workflows from the OpenMetadata UI:
- [Requirements](#requirements)
- [Metadata Ingestion](#metadata-ingestion)
## Requirements
{%inlineCallout icon="description" bold="OpenMetadata 0.12 or later" href="/deployment"%}
To deploy OpenMetadata, check the Deployment guides.
{%/inlineCallout%}
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.
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:
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"dynamodb:ListTables"
],
"Resource": "*"
}
]
}
```
For more information on Dynamodb permissions visit the [AWS DynamoDB official documentation](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/api-permissions-reference.html).
### Python Requirements
To run the DynamoDB ingestion, you will need to install:
```bash
pip3 install "openmetadata-ingestion[dynamodb]"
```
## Metadata Ingestion
All connectors are defined as JSON Schemas.
[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/database/dynamoDBConnection.json)
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](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json)
### 1. Define the YAML Config
This is a sample config for DynamoDB:
{% codePreview %}
{% codeInfoContainer %}
#### Source Configuration - Service Connection
{% codeInfo srNumber=1 %}
**awsAccessKeyId**: Enter your secure access key ID for your DynamoDB connection. The specified key ID should be authorized to read all databases you want to include in the metadata ingestion workflow.
{% /codeInfo %}
{% codeInfo srNumber=2 %}
**awsSecretAccessKey**: Enter the Secret Access Key (the passcode key pair to the key ID from above).
{% /codeInfo %}
{% codeInfo srNumber=3 %}
**awsSessionToken**: The AWS session token is an optional parameter. If you want, enter the details of your temporary session token.
{% /codeInfo %}
{% codeInfo srNumber=4 %}
**awsRegion**: Enter the location of the amazon cluster that your data and account are associated with.
{% /codeInfo %}
{% codeInfo srNumber=5 %}
**endPointURL**: Your DynamoDB connector will automatically determine the AWS DynamoDB endpoint URL based on the region. You may override this behavior by entering a value to the endpoint URL.
{% /codeInfo %}
{% codeInfo srNumber=6 %}
**databaseName**: Optional name to give to the database in OpenMetadata. If left blank, we will use default as the database name.
{% /codeInfo %}
#### Source Configuration - Source Config
{% codeInfo srNumber=9 %}
The `sourceConfig` is defined [here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/databaseServiceMetadataPipeline.json):
**markDeletedTables**: To flag tables as soft-deleted if they are not present anymore in the source system.
**includeTables**: true or false, to ingest table data. Default is true.
**includeViews**: true or false, to ingest views definitions.
**databaseFilterPattern**, **schemaFilterPattern**, **tableFilternPattern**: Note that the filter supports regex as include or exclude. You can find examples [here](/connectors/ingestion/workflows/metadata/filter-patterns/database)
{% /codeInfo %}
#### Sink Configuration
{% codeInfo srNumber=10 %}
To send the metadata to OpenMetadata, it needs to be specified as `type: metadata-rest`.
{% /codeInfo %}
#### Workflow Configuration
{% codeInfo srNumber=11 %}
The main property here is the `openMetadataServerConfig`, where you can define the host and security provider of your OpenMetadata installation.
For a simple, local installation using our docker containers, this looks like:
{% /codeInfo %}
#### Advanced Configuration
{% codeInfo srNumber=7 %}
**Connection Options (Optional)**: Enter the details for any additional connection options that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
{% /codeInfo %}
{% codeInfo srNumber=8 %}
**Connection Arguments (Optional)**: Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
- In case you are using Single-Sign-On (SSO) for authentication, add the `authenticator` details in the Connection Arguments as a Key-Value pair as follows: `"authenticator" : "sso_login_url"`
- In case you authenticate with SSO using an external browser popup, then add the `authenticator` details in the Connection Arguments as a Key-Value pair as follows: `"authenticator" : "externalbrowser"`
{% /codeInfo %}
{% /codeInfoContainer %}
{% codeBlock fileName="filename.yaml" %}
```yaml
source:
type: dynamodb
serviceName: local_dynamodb
serviceConnection:
config:
type: DynamoDB
awsConfig:
```
```yaml {% srNumber=1 %}
awsAccessKeyId: aws_access_key_id
```
```yaml {% srNumber=2 %}
awsSecretAccessKey: aws_secret_access_key
```
```yaml {% srNumber=3 %}
awsSessionToken: AWS Session Token
```
```yaml {% srNumber=4 %}
awsRegion: aws region
```
```yaml {% srNumber=5 %}
endPointURL: https://dynamodb.<region_name>.amazonaws.com
```
```yaml {% srNumber=6 %}
database: custom_database_name
```
```yaml {% srNumber=7 %}
# connectionOptions:
# key: value
```
```yaml {% srNumber=8 %}
# connectionArguments:
# key: value
```
```yaml {% srNumber=9 %}
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sourceConfig:
config:
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type: DatabaseMetadata
markDeletedTables: true
includeTables: true
includeViews: true
# includeTags: true
# databaseFilterPattern:
# includes:
# - database1
# - database2
# excludes:
# - database3
# - database4
# schemaFilterPattern:
# includes:
# - schema1
# - schema2
# excludes:
# - schema3
# - schema4
# tableFilterPattern:
# includes:
# - users
# - type_test
# excludes:
# - table3
# - table4
```
```yaml {% srNumber=10 %}
sink:
type: metadata-rest
config: {}
```
```yaml {% srNumber=11 %}
workflowConfig:
openMetadataServerConfig:
hostPort: "http://localhost:8585/api"
authProvider: openmetadata
securityConfig:
jwtToken: "{bot_jwt_token}"
```
{% /codeBlock %}
{% /codePreview %}
### Workflow Configs for Security Provider
We support different security providers. You can find their definitions [here](https://github.com/open-metadata/OpenMetadata/tree/main/openmetadata-spec/src/main/resources/json/schema/security/client).
## Openmetadata JWT Auth
- JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details [here](/deployment/security/enable-jwt-tokens).
```yaml
workflowConfig:
openMetadataServerConfig:
hostPort: "http://localhost:8585/api"
authProvider: openmetadata
securityConfig:
jwtToken: "{bot_jwt_token}"
```
- You can refer to the JWT Troubleshooting section [link](/deployment/security/jwt-troubleshooting) for any issues in your JWT configuration. If you need information on configuring the ingestion with other security providers in your bots, you can follow this doc [link](/deployment/security/workflow-config-auth).
### 2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:
```bash
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
{% tilesContainer %}
{% tile
icon="mediation"
title="dbt Integration"
description="Learn more about how to ingest dbt models' definitions and their lineage."
link="/connectors/ingestion/workflows/dbt" /%}
{% /tilesContainer %}
## Related
{% tilesContainer %}
{% tile
title="Ingest with Airflow"
description="Configure the ingestion using Airflow SDK"
link="/connectors/database/dynamodb/airflow"
/ %}
{% /tilesContainer %}