OpenMetadata
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Tableau
This guide will help install Tableau connector and run manually
Prerequisites
OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
  1. 1.
    Python 3.7 or above

Install from PyPI

Install Using PyPI
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pip install 'openmetadata-ingestion[tableau]'
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Run Manually

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metadata ingest -c ./examples/workflows/tableau.json
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Configuration

tableau.json
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{
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"source": {
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"type": "tableau",
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"config": {
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"username": "username",
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"password": "password",
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"service_name": "local_tableau",
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"server": "server_address",
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"site_name": "site_name",
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"site_url": "site_url",
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"api_version": "api version",
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"env": "env"
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}
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},
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...
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  1. 1.
    username - pass the Tableau username.
  2. 2.
    password - password for the username.
  3. 3.
    server - address of the server.
  4. 4.
    site_name - pass the site name.
  5. 5.
    site_url - pass the tableau connector url.
  6. 6.
    api_version - pass an api version.
  7. 7.
    service_name - Service Name for this Tableau cluster. If you added Tableau cluster through OpenMetadata UI, make sure the service name matches the same.
  8. 8.
    filter_pattern - It contains includes, excludes options to choose which pattern of datasets you want to ingest into OpenMetadata

Publish to OpenMetadata

Below is the configuration to publish Tableau data into the OpenMetadata service.
Add metadata-rest sink along with metadata-server config
tableau.json
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{
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"source": {
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"type": "tableau",
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"config": {
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"username": "username",
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"password": "password",
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"service_name": "local_tableau",
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"server": "server_address",
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"site_name": "site_name",
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"site_url": "site_url",
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"api_version": "api version",
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"env": "env"
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}
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},
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"sink": {
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"type": "metadata-rest",
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"config": {}
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},
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"metadata_server": {
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"type": "metadata-server",
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"config": {
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"api_endpoint": "http://localhost:8585/api",
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"auth_provider_type": "no-auth"
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}
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}
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}
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Last modified 23h ago