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title | slug |
---|---|
Run Tableau Connector using the CLI | /connectors/dashboard/tableau/cli |
Run Tableau using the metadata CLI
Stage | PROD |
---|---|
Dashboards | {% icon iconName="check" /%} |
Charts | {% icon iconName="check" /%} |
Owners | {% icon iconName="check" /%} |
Tags | {% icon iconName="check" /%} |
Datamodels | {% icon iconName="check" /%} |
Lineage | {% icon iconName="check" /%} |
In this section, we provide guides and references to use the Tableau connector.
Configure and schedule Tableau metadata and profiler workflows from the OpenMetadata UI:
Requirements
To ingest tableau metadata, minimum Site Role: Viewer
is requried for the tableau user.
{%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.
To create lineage between tableau dashboard and any database service via the queries provided from Tableau Metadata API, please enable the Tableau Metadata API for your tableau server. For more information on enabling the Tableau Metadata APIs follow the link here
Python Requirements
To run the Tableau ingestion, you will need to install:
pip3 install "openmetadata-ingestion[tableau]"
Metadata Ingestion
All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to Tableau.
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
This is a sample config for Tableau:
{% codePreview %}
{% codeInfoContainer %}
Source Configuration - Service Connection
{% codeInfo srNumber=1 %}
For Basic Authentication:
Username: The name of the user whose credentials will be used to sign in.
Password: The password of the user.
{% /codeInfo %}
{% codeInfo srNumber=2%}
For Access Token Authentication:
Personal Access Token: The personal access token name. For more information to get a Personal Access Token please visit this link.
Personal Access Token Secret: The personal access token value. For more information to get a Personal Access Token please visit this link.
{% /codeInfo %}
{% codeInfo srNumber=3 %}
env: The config object can have multiple environments. The default environment is defined as tableau_prod
, and you can change this if needed by specifying an env
parameter.
{% /codeInfo %}
{% codeInfo srNumber=4 %}
hostPort: URL or IP address of your installation of Tableau Server.
{% /codeInfo %}
{% codeInfo srNumber=5 %}
siteName: Tableau Site Name. This corresponds to the contentUrl
attribute in the Tableau REST API. The site_name
is the portion of the URL that follows the /site/
in the URL.
{% /codeInfo %}
{% codeInfo srNumber=6 %}
siteUrl: Tableau Site URL. Tableau Site Url. To be kept empty if you are using the default Tableau site
{% /codeInfo %}
{% codeInfo srNumber=7 %}
apiVersion: Tableau API version. A lists versions of Tableau Server and of the corresponding REST API and REST API schema versions can be found here.
{% /codeInfo %}
{% codeInfo srNumber=11 %}
paginationLimit: The pagination limit will be used while querying the Tableau Graphql endpoint to get the data source information.
{% /codeInfo %}
Source Configuration - Source Config
{% codeInfo srNumber=8 %}
The sourceConfig
is defined here:
- dbServiceNames: Database Service Names for ingesting lineage if the source supports it.
- dashboardFilterPattern, chartFilterPattern, dataModelFilterPattern: Note that all of them support regex as include or exclude. E.g., "My dashboard, My dash.*, .*Dashboard".
- includeOwners: Set the 'Include Owners' toggle to control whether to include owners to the ingested entity if the owner email matches with a user stored in the OM server as part of metadata ingestion. If the ingested entity already exists and has an owner, the owner will not be overwritten.
- includeTags: Set the 'Include Tags' toggle to control whether to include tags in metadata ingestion.
- includeDataModels: Set the 'Include Data Models' toggle to control whether to include tags as part of metadata ingestion.
- markDeletedDashboards: Set the 'Mark Deleted Dashboards' toggle to flag dashboards as soft-deleted if they are not present anymore in the source system.
{% /codeInfo %}
Sink Configuration
{% codeInfo srNumber=9 %}
To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest
.
{% /codeInfo %}
{% partial file="workflow-config.md" /%}
{% /codeInfoContainer %}
{% codeBlock fileName="filename.yaml" %}
source:
type: tableau
serviceName: local_tableau
serviceConnection:
config:
type: Tableau
# authType:
# username: username
# password: password
# authType:
# personalAccessTokenName: personal_access_token_name
# personalAccessTokenSecret: personal_access_token_secret
env: tableau_prod
hostPort: http://localhost
siteName: site_name
siteUrl: site_url
apiVersion: api_version
paginationLimit: pagination_limit
sourceConfig:
config:
type: DashboardMetadata
includeOwners: True
markDeletedDashboards: True
includeTags: True
includeDataModels: True
# dbServiceNames:
# - service1
# - service2
# dashboardFilterPattern:
# includes:
# - dashboard1
# - dashboard2
# excludes:
# - dashboard3
# - dashboard4
# chartFilterPattern:
# includes:
# - chart1
# - chart2
# excludes:
# - chart3
# - chart4
# dataModelFilterPattern:
# includes:
# - datamodel1
# - datamodel2
# excludes:
# - datamodel3
# - datamodel4
sink:
type: metadata-rest
config: {}
{% partial file="workflow-config-yaml.md" /%}
{% /codeBlock %}
{% /codePreview %}
Example Source Configurations for default and non-default tableau sites
1. Sample config for default tableau site
For a default tableau site siteName
and siteUrl
fields should be kept as empty strings as shown in the below config.
source:
type: tableau
serviceName: local_tableau
serviceConnection:
config:
type: Tableau
# For Tableau, choose one of basic or access token authentication
# # For basic authentication
# authType:
# username: username
# password: password
# # For access token authentication
# authType:
# personalAccessTokenName: personal_access_token_name
# personalAccessTokenSecret: personal_access_token_secret
env: tableau_prod
hostPort: http://localhost
siteName: site_name
siteUrl: site_url
apiVersion: api_version
sourceConfig:
config:
type: DashboardMetadata
includeOwners: True
markDeletedDashboards: True
includeTags: True
includeDataModels: True
# dbServiceNames:
# - service1
# - service2
# dashboardFilterPattern:
# includes:
# - dashboard1
# - dashboard2
# excludes:
# - dashboard3
# - dashboard4
# chartFilterPattern:
# includes:
# - chart1
# - chart2
# excludes:
# - chart3
# - chart4
# dataModelFilterPattern:
# includes:
# - datamodel1
# - datamodel2
# excludes:
# - datamodel3
# - datamodel4
sink:
type: metadata-rest
config: {}
workflowConfig:
# loggerLevel: DEBUG # DEBUG, INFO, WARN or ERROR
openMetadataServerConfig:
hostPort: <OpenMetadata host and port>
authProvider: <OpenMetadata auth provider>
1. Sample config for non-default tableau site
For a non-default tableau site siteName
and siteUrl
fields are required.
Note: If https://xxx.tableau.com/#/site/sitename/home
represents the homepage url for your tableau site, the sitename
from the url should be entered in the siteName
and siteUrl
fields in the config below.
source:
type: tableau
serviceName: local_tableau
serviceConnection:
config:
type: Tableau
username: username
password: password
env: tableau_prod
hostPort: http://localhost
siteName: openmetadata
siteUrl: openmetadata
apiVersion: api_version
# If not setting user and password
# personalAccessTokenName: personal_access_token_name
# personalAccessTokenSecret: personal_access_token_secret
sourceConfig:
config:
type: DashboardMetadata
overrideOwner: True
# dbServiceNames:
# - service1
# - service2
# dashboardFilterPattern:
# includes:
# - dashboard1
# - dashboard2
# excludes:
# - dashboard3
# - dashboard4
# chartFilterPattern:
# includes:
# - chart1
# - chart2
# excludes:
# - chart3
# - chart4
sink:
type: metadata-rest
config: {}
workflowConfig:
# loggerLevel: DEBUG # DEBUG, INFO, WARN or ERROR
openMetadataServerConfig:
hostPort: <OpenMetadata host and port>
authProvider: <OpenMetadata auth provider>
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.