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181 lines
5.5 KiB
Markdown
181 lines
5.5 KiB
Markdown
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---
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title: Run the QuickSight Connector Externally
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slug: /connectors/dashboard/quicksight/yaml
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---
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{% connectorDetailsHeader
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name="QuickSight"
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stage="PROD"
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platform="OpenMetadata"
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availableFeatures=["Dashboards", "Charts", "Lineage"]
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unavailableFeatures=["Owners", "Tags", "Datamodels", "Projects"]
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/ %}
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In this section, we provide guides and references to use the QuickSight connector.
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Configure and schedule QuickSight metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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{% partial file="/v1.5/connectors/external-ingestion-deployment.md" /%}
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## Requirements
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AWS QuickSight Permissions
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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
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| # | AWS QuickSight Permission |
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| :---------- | :---------- |
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| 1 | DescribeDashboard |
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| 2 | ListAnalyses |
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| 3 | ListDataSources |
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| 4 | ListDashboards |
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| 5 | DescribeAnalysis |
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| 6 | DescribeDataSet |
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| 7 | ListDataSets |
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| 8 | DescribeDataSource |
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Here is how to add Permissions to an IAM user.
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- Navigate to the IAM console in the AWS Management Console.
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- Choose the IAM user or group to which you want to attach the policy, and click on the "Permissions" tab.
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- Click on the "Add permissions" button and select "Attach existing policies directly".
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- Search for the policy by name or by filtering the available policies, and select the one you want to attach.
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- Review the policy and click on "Add permissions" to complete the process.
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```json
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{
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"Version": "2012-10-17",
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"Statement": [
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{
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"Effect": "Allow",
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"Action": [
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"quicksight:DescribeDashboard",
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"quicksight:ListAnalyses",
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"quicksight:ListDataSources",
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"quicksight:ListDashboards",
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"quicksight:DescribeAnalysis",
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"quicksight:DescribeDataSet",
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"quicksight:ListDataSets",
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"quicksight:DescribeDataSource"
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],
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"Resource": "*"
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}
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]
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}
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```
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### Python Requirements
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{% partial file="/v1.5/connectors/python-requirements.md" /%}
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To run the QuickSight ingestion, you will need to install:
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```bash
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pip3 install "openmetadata-ingestion[quicksight]"
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```
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## Metadata Ingestion
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All connectors are defined as JSON Schemas.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/dashboard/quickSightConnection.json)
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you can find the structure to create a connection to QuickSight.
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In order to create and run a Metadata Ingestion workflow, we will follow
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the steps to create a YAML configuration able to connect to the source,
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process the Entities if needed, and reach the OpenMetadata server.
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The workflow is QuickSightled around the following
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[JSON Schema](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json)
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### 1. Define the YAML Config
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This is a sample config for QuickSight:
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{% codePreview %}
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{% codeInfoContainer %}
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#### Source Configuration - Service Connection
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{% codeInfo srNumber=1 %}
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**awsConfig**
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- **AWS Access Key ID**: Enter your secure access key ID for your Glue connection. The specified key ID should be authorized to read all databases you want to include in the metadata ingestion workflow.
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- **AWS Secret Access Key**: Enter the Secret Access Key (the passcode key pair to the key ID from above).
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- **AWS Region**: Enter the location of the amazon cluster that your data and account are associated with.
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- **AWS Session Token (optional)**: The AWS session token is an optional parameter. If you want, enter the details of your temporary session token.
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- **Endpoint URL (optional)**: Your Glue connector will automatically determine the AWS QuickSight endpoint URL based on the region. You may override this behavior by entering a value to the endpoint URL.
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{% /codeInfo %}
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{% codeInfo srNumber=2 %}
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**awsAccountId**: AWS Account ID
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{% /codeInfo %}
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{% codeInfo srNumber=3 %}
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**identityType**: The authentication method that the user uses to sign in.
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{% /codeInfo %}
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{% codeInfo srNumber=4 %}
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**namespace**: The Amazon QuickSight namespace that contains the dashboard IDs in this request ( To be provided when identityType is `ANONYMOUS` )
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{% /codeInfo %}
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{% partial file="/v1.5/connectors/yaml/dashboard/source-config-def.md" /%}
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{% partial file="/v1.5/connectors/yaml/ingestion-sink-def.md" /%}
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{% partial file="/v1.5/connectors/yaml/workflow-config-def.md" /%}
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{% /codeInfoContainer %}
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{% codeBlock fileName="filename.yaml" %}
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```yaml {% isCodeBlock=true %}
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source:
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type: quicksight
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serviceName: local_quicksight
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serviceConnection:
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config:
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type: QuickSight
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```
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```yaml {% srNumber=1 %}
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awsConfig:
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awsAccessKeyId: KEY
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awsSecretAccessKey: SECRET
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awsRegion: us-east-2
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awsSessionToken: Token
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```
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```yaml {% srNumber=2 %}
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awsAccountId: <aws-account-id>
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```
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```yaml {% srNumber=3 %}
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identityType: IAM #QUICKSIGHT, ANONYMOUS
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```
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```yaml {% srNumber=4 %}
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namespace: #to be provided if identityType is Anonymous
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```
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{% partial file="/v1.5/connectors/yaml/dashboard/source-config.md" /%}
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{% partial file="/v1.5/connectors/yaml/ingestion-sink.md" /%}
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{% partial file="/v1.5/connectors/yaml/workflow-config.md" /%}
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{% /codeBlock %}
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{% /codePreview %}
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{% partial file="/v1.5/connectors/yaml/ingestion-cli.md" /%}
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