OpenMetadata/openmetadata-docs/content/v1.8.x-SNAPSHOT/connectors/dashboard/quicksight/yaml.md

title	slug
Run the QuickSight Connector Externally	/connectors/dashboard/quicksight/yaml

{% connectorDetailsHeader name="QuickSight" stage="PROD" platform="OpenMetadata" availableFeatures=["Dashboards", "Charts", "Lineage", "Datamodels"] unavailableFeatures=["Owners", "Tags", "Projects"]
/ %}

In this section, we provide guides and references to use the QuickSight connector.

Configure and schedule QuickSight metadata and profiler workflows from the OpenMetadata UI:

• Requirements
• Metadata Ingestion

{% partial file="/v1.8/connectors/external-ingestion-deployment.md" /%}

Requirements

AWS QuickSight Permissions To execute metadata extraction and usage workflow successfully the IAM User should have enough access to fetch required data. Following table describes the minimum required permissions

#	AWS QuickSight Permission
1	DescribeDashboard
2	ListAnalyses
3	ListDataSources
4	ListDashboards
5	DescribeAnalysis
6	DescribeDataSet
7	ListDataSets
8	DescribeDataSource

Here is how to add Permissions to an IAM user.

• Navigate to the IAM console in the AWS Management Console.

• Choose the IAM user or group to which you want to attach the policy, and click on the "Permissions" tab.

• Click on the "Add permissions" button and select "Attach existing policies directly".

• Search for the policy by name or by filtering the available policies, and select the one you want to attach.

• Review the policy and click on "Add permissions" to complete the process.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "quicksight:DescribeDashboard",
                "quicksight:ListAnalyses",
                "quicksight:ListDataSources",
                "quicksight:ListDashboards",
                "quicksight:DescribeAnalysis",
                "quicksight:DescribeDataSet",
                "quicksight:ListDataSets",
                "quicksight:DescribeDataSource"
            ],
            "Resource": "*"
        }
    ]
}

Python Requirements

{% partial file="/v1.8/connectors/python-requirements.md" /%}

To run the QuickSight ingestion, you will need to install:

pip3 install "openmetadata-ingestion[quicksight]"

Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to QuickSight.

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 QuickSightled around the following JSON Schema

1. Define the YAML Config

This is a sample config for QuickSight:

{% codePreview %}

{% codeInfoContainer %}

Source Configuration - Service Connection

{% partial file="/v1.8/connectors/yaml/common/aws-config-def.md" /%}

{% codeInfo srNumber=2 %}

awsAccountId: AWS Account ID

{% /codeInfo %}

{% codeInfo srNumber=3 %}

identityType: The authentication method that the user uses to sign in.

{% /codeInfo %}

{% codeInfo srNumber=4 %}

namespace: The Amazon QuickSight namespace that contains the dashboard IDs in this request ( To be provided when identityType is ANONYMOUS )

{% /codeInfo %}

{% partial file="/v1.8/connectors/yaml/dashboard/source-config-def.md" /%}

{% partial file="/v1.8/connectors/yaml/ingestion-sink-def.md" /%}

{% partial file="/v1.8/connectors/yaml/workflow-config-def.md" /%}

{% /codeInfoContainer %}

{% codeBlock fileName="filename.yaml" %}

source:
  type: quicksight
  serviceName: local_quicksight
  serviceConnection:
    config:
      type: QuickSight

{% partial file="/v1.8/connectors/yaml/common/aws-config.md" /%}

      awsAccountId: <aws-account-id>

      identityType: IAM #QUICKSIGHT, ANONYMOUS

      namespace: #to be provided if identityType is Anonymous

{% partial file="/v1.8/connectors/yaml/dashboard/source-config.md" /%}

{% partial file="/v1.8/connectors/yaml/ingestion-sink.md" /%}

{% partial file="/v1.8/connectors/yaml/workflow-config.md" /%}

{% /codeBlock %}

{% /codePreview %}

{% partial file="/v1.8/connectors/yaml/ingestion-cli.md" /%}