Sigma

Important Capabilities

Capability	Status	Notes
Asset Containers	✅	Enabled by default
Descriptions	✅	Enabled by default
Detect Deleted Entities	✅	Optionally enabled via stateful_ingestion.remove_stale_metadata
Extract Ownership	✅	Enabled by default, configured using ingest_owner
Extract Tags	✅	Enabled by default
Platform Instance	✅	Enabled by default
Schema Metadata	✅	Enabled by default
Table-Level Lineage	✅	Enabled by default.

This plugin extracts the following:

• Sigma Workspaces and Workbooks as Container.
• Sigma Datasets
• Pages as Dashboard and its Elements as Charts

Integration Details

This source extracts the following:

• Workspaces and workbooks within that workspaces as Container.
• Sigma Datasets as Datahub Datasets.
• Pages as Datahub dashboards and elements present inside pages as charts.

Configuration Notes

1. Refer doc to generate an API client credentials.
2. Provide the generated Client ID and Secret in Recipe.

Concept mapping

Sigma	Datahub	Notes
Workspace	Container	SubType "Sigma Workspace"
Workbook	Container	SubType "Sigma Workbook"
Page	Dashboard
Element	Chart
Dataset	Dataset	SubType "Sigma Dataset"
User	User (a.k.a CorpUser)	Optionally Extracted

Advanced Configurations

Chart source platform mapping

If you want to provide platform details(platform name, platform instance and env) for chart's all external upstream data sources, then you can use chart_sources_platform_mapping as below:

Example - For just one specific chart's external upstream data sources

    chart_sources_platform_mapping:
      'workspace_name/workbook_name/chart_name_1': 
        data_source_platform: snowflake
        platform_instance: new_instance
        env: PROD

      'workspace_name/folder_name/workbook_name/chart_name_2': 
        data_source_platform: postgres
        platform_instance: cloud_instance
        env: DEV

Example - For all charts within one specific workbook

    chart_sources_platform_mapping:
      'workspace_name/workbook_name_1': 
        data_source_platform: snowflake
        platform_instance: new_instance
        env: PROD
      
      'workspace_name/folder_name/workbook_name_2': 
        data_source_platform: snowflake
        platform_instance: new_instance
        env: PROD

Example - For all workbooks charts within one specific workspace

    chart_sources_platform_mapping:
      'workspace_name': 
        data_source_platform: snowflake
        platform_instance: new_instance
        env: PROD

Example - All workbooks use the same connection

    chart_sources_platform_mapping:
      '*': 
        data_source_platform: snowflake
        platform_instance: new_instance
        env: PROD

CLI based Ingestion

Install the Plugin

The sigma source works out of the box with acryl-datahub.

Starter Recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
  type: sigma
  config:
    # Coordinates
    api_url: "https://aws-api.sigmacomputing.com/v2"
    # Credentials
    client_id: "CLIENTID"
    client_secret: "CLIENT_SECRET"
    
    # Optional - filter for certain workspace names instead of ingesting everything.
    # workspace_pattern:
    #   allow:
    #     - workspace_name

    ingest_owner: true
    
    # Optional - mapping of sigma workspace/workbook/chart folder path to all chart's data sources platform details present inside that folder path.
    # chart_sources_platform_mapping:
    #   folder_path:
    #     data_source_platform: postgres
    #     platform_instance: cloud_instance
    #     env: DEV

sink:
  # sink configs

Config Details

Options

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

Field	Description
client_id ✅ string	Sigma Client ID
client_secret ✅ string	Sigma Client Secret
api_url string	Sigma API hosted URL. Default: https://aws-api.sigmacomputing.com/v2
extract_lineage boolean	Whether to extract lineage of workbook's elements and datasets or not. Default: True
ingest_owner boolean	Ingest Owner from source. This will override Owner info entered from UI. Default: True
ingest_shared_entities boolean	Whether to ingest the shared entities or not. Default: False
platform_instance string	The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://datahubproject.io/docs/platform-instances/ for more details.
env string	The environment that all assets produced by this connector belong to Default: PROD
chart_sources_platform_mapping map(str,PlatformDetail)	Any source that connects to a platform should inherit this class
chart_sources_platform_mapping.key.env string	The environment that all assets produced by this connector belong to Default: PROD
chart_sources_platform_mapping.key.data_source_platform ❓ string	A chart's data sources platform name.
chart_sources_platform_mapping.key.platform_instance string	The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://datahubproject.io/docs/platform-instances/ for more details.
workbook_lineage_pattern AllowDenyPattern	Regex patterns to filter workbook's elements and datasets lineage in ingestion.Requires extract_lineage to be enabled. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
workbook_lineage_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
workbook_lineage_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
workbook_lineage_pattern.allow.string string
workbook_lineage_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
workbook_lineage_pattern.deny.string string
workspace_pattern AllowDenyPattern	Regex patterns to filter Sigma workspaces in ingestion.Mention 'My documents' if personal entities also need to ingest. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
workspace_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
workspace_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
workspace_pattern.allow.string string
workspace_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
workspace_pattern.deny.string string
stateful_ingestion StatefulStaleMetadataRemovalConfig	Sigma Stateful Ingestion Config.
stateful_ingestion.enabled boolean	Whether or not to enable stateful ingest. Default: True if a pipeline_name is set and either a datahub-rest sink or datahub_api is specified, otherwise False Default: False
stateful_ingestion.remove_stale_metadata boolean	Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled. Default: True

Schema

The JSONSchema for this configuration is inlined below.

{
  "title": "SigmaSourceConfig",
  "description": "Base configuration class for stateful ingestion for source configs to inherit from.",
  "type": "object",
  "properties": {
    "env": {
      "title": "Env",
      "description": "The environment that all assets produced by this connector belong to",
      "default": "PROD",
      "type": "string"
    },
    "platform_instance": {
      "title": "Platform Instance",
      "description": "The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://datahubproject.io/docs/platform-instances/ for more details.",
      "type": "string"
    },
    "stateful_ingestion": {
      "title": "Stateful Ingestion",
      "description": "Sigma Stateful Ingestion Config.",
      "allOf": [
        {
          "$ref": "#/definitions/StatefulStaleMetadataRemovalConfig"
        }
      ]
    },
    "api_url": {
      "title": "Api Url",
      "description": "Sigma API hosted URL.",
      "default": "https://aws-api.sigmacomputing.com/v2",
      "type": "string"
    },
    "client_id": {
      "title": "Client Id",
      "description": "Sigma Client ID",
      "type": "string"
    },
    "client_secret": {
      "title": "Client Secret",
      "description": "Sigma Client Secret",
      "type": "string"
    },
    "workspace_pattern": {
      "title": "Workspace Pattern",
      "description": "Regex patterns to filter Sigma workspaces in ingestion.Mention 'My documents' if personal entities also need to ingest.",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "ingest_owner": {
      "title": "Ingest Owner",
      "description": "Ingest Owner from source. This will override Owner info entered from UI.",
      "default": true,
      "type": "boolean"
    },
    "ingest_shared_entities": {
      "title": "Ingest Shared Entities",
      "description": "Whether to ingest the shared entities or not.",
      "default": false,
      "type": "boolean"
    },
    "extract_lineage": {
      "title": "Extract Lineage",
      "description": "Whether to extract lineage of workbook's elements and datasets or not.",
      "default": true,
      "type": "boolean"
    },
    "workbook_lineage_pattern": {
      "title": "Workbook Lineage Pattern",
      "description": "Regex patterns to filter workbook's elements and datasets lineage in ingestion.Requires extract_lineage to be enabled.",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "chart_sources_platform_mapping": {
      "title": "Chart Sources Platform Mapping",
      "description": "A mapping of the sigma workspace/workbook/chart folder path to all chart's data sources platform details present inside that folder path.",
      "default": {},
      "type": "object",
      "additionalProperties": {
        "$ref": "#/definitions/PlatformDetail"
      }
    }
  },
  "required": [
    "client_id",
    "client_secret"
  ],
  "additionalProperties": false,
  "definitions": {
    "DynamicTypedStateProviderConfig": {
      "title": "DynamicTypedStateProviderConfig",
      "type": "object",
      "properties": {
        "type": {
          "title": "Type",
          "description": "The type of the state provider to use. For DataHub use `datahub`",
          "type": "string"
        },
        "config": {
          "title": "Config",
          "description": "The configuration required for initializing the state provider. Default: The datahub_api config if set at pipeline level. Otherwise, the default DatahubClientConfig. See the defaults (https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/src/datahub/ingestion/graph/client.py#L19).",
          "default": {},
          "type": "object"
        }
      },
      "required": [
        "type"
      ],
      "additionalProperties": false
    },
    "StatefulStaleMetadataRemovalConfig": {
      "title": "StatefulStaleMetadataRemovalConfig",
      "description": "Base specialized config for Stateful Ingestion with stale metadata removal capability.",
      "type": "object",
      "properties": {
        "enabled": {
          "title": "Enabled",
          "description": "Whether or not to enable stateful ingest. Default: True if a pipeline_name is set and either a datahub-rest sink or `datahub_api` is specified, otherwise False",
          "default": false,
          "type": "boolean"
        },
        "remove_stale_metadata": {
          "title": "Remove Stale Metadata",
          "description": "Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled.",
          "default": true,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    },
    "AllowDenyPattern": {
      "title": "AllowDenyPattern",
      "description": "A class to store allow deny regexes",
      "type": "object",
      "properties": {
        "allow": {
          "title": "Allow",
          "description": "List of regex patterns to include in ingestion",
          "default": [
            ".*"
          ],
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "deny": {
          "title": "Deny",
          "description": "List of regex patterns to exclude from ingestion.",
          "default": [],
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "ignoreCase": {
          "title": "Ignorecase",
          "description": "Whether to ignore case sensitivity during pattern matching.",
          "default": true,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    },
    "PlatformDetail": {
      "title": "PlatformDetail",
      "description": "Any source that connects to a platform should inherit this class",
      "type": "object",
      "properties": {
        "env": {
          "title": "Env",
          "description": "The environment that all assets produced by this connector belong to",
          "default": "PROD",
          "type": "string"
        },
        "platform_instance": {
          "title": "Platform Instance",
          "description": "The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://datahubproject.io/docs/platform-instances/ for more details.",
          "type": "string"
        },
        "data_source_platform": {
          "title": "Data Source Platform",
          "description": "A chart's data sources platform name.",
          "type": "string"
        }
      },
      "required": [
        "data_source_platform"
      ],
      "additionalProperties": false
    }
  }
}

Code Coordinates

• Class Name: datahub.ingestion.source.sigma.sigma.SigmaSource
• Browse on GitHub

Questions

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