Metabase

Important Capabilities

Capability	Status	Notes
Platform Instance	✅	Enabled by default

This plugin extracts Charts, dashboards, and associated metadata. This plugin is in beta and has only been tested on PostgreSQL and H2 database.

Dashboard

/api/dashboard endpoint is used to retrieve the following dashboard information.

• Title and description
• Last edited by
• Owner
• Link to the dashboard in Metabase
• Associated charts

Chart

/api/card endpoint is used to retrieve the following information.

• Title and description
• Last edited by
• Owner
• Link to the chart in Metabase
• Datasource and lineage

The following properties for a chart are ingested in DataHub.

Name	Description
Dimensions	Column names
Filters	Any filters applied to the chart
Metrics	All columns that are being used for aggregation

CLI based Ingestion

Install the Plugin

pip install 'acryl-datahub[metabase]'

Config Details

Options

Note that a . is used to denote nested fields in the YAML recipe.

Field	Description
connect_uri string	Metabase host URL. Default: localhost:3000
database_alias_map object	Database name map to use when constructing dataset URN.
default_schema string	Default schema name to use when schema is not provided in an SQL query Default: public
engine_platform_map map(str,string)
password string(password)	Metabase password.
platform_instance_map map(str,string)
username string	Metabase username.
env string	The environment that all assets produced by this connector belong to Default: PROD

Schema

The JSONSchema for this configuration is inlined below.

{
  "title": "MetabaseConfig",
  "description": "Any non-Dataset source that produces lineage to Datasets should inherit this class.\ne.g. Orchestrators, Pipelines, BI Tools etc.",
  "type": "object",
  "properties": {
    "env": {
      "title": "Env",
      "description": "The environment that all assets produced by this connector belong to",
      "default": "PROD",
      "type": "string"
    },
    "platform_instance_map": {
      "title": "Platform Instance Map",
      "description": "A holder for platform -> platform_instance mappings to generate correct dataset urns",
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "connect_uri": {
      "title": "Connect Uri",
      "description": "Metabase host URL.",
      "default": "localhost:3000",
      "type": "string"
    },
    "username": {
      "title": "Username",
      "description": "Metabase username.",
      "type": "string"
    },
    "password": {
      "title": "Password",
      "description": "Metabase password.",
      "type": "string",
      "writeOnly": true,
      "format": "password"
    },
    "database_alias_map": {
      "title": "Database Alias Map",
      "description": "Database name map to use when constructing dataset URN.",
      "type": "object"
    },
    "engine_platform_map": {
      "title": "Engine Platform Map",
      "description": "Custom mappings between metabase database engines and DataHub platforms",
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "default_schema": {
      "title": "Default Schema",
      "description": "Default schema name to use when schema is not provided in an SQL query",
      "default": "public",
      "type": "string"
    }
  },
  "additionalProperties": false
}

Metabase databases will be mapped to a DataHub platform based on the engine listed in the api/database response. This mapping can be customized by using the engine_platform_map config option. For example, to map databases using the athena engine to the underlying datasets in the glue platform, the following snippet can be used:

  engine_platform_map:
    athena: glue

DataHub will try to determine database name from Metabase api/database payload. However, the name can be overridden from database_alias_map for a given database connected to Metabase.

Compatibility

Metabase version v0.41.2

Code Coordinates

• Class Name: datahub.ingestion.source.metabase.MetabaseSource
• Browse on GitHub

Questions

If you've got any questions on configuring ingestion for Metabase, feel free to ping us on our Slack.