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Sigma

Incubating

Important Capabilities​

CapabilityStatusNotes
Asset Containers✅Enabled by default. Supported for types - Sigma Workspace.
Descriptions✅Enabled by default.
Detect Deleted Entities✅Enabled by default via stateful ingestion.
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.
Test Connection✅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.

We have observed issues with the Sigma API, where certain API endpoints do not return the expected results, even when the user is an admin. In those cases, a workaround is to manually add the user associated with the Client ID/Secret to each workspace with missing metadata. Empty workspaces are listed in the ingestion report in the logs with the key empty_workspaces.

Concept mapping​

SigmaDatahubNotes
WorkspaceContainerSubType "Sigma Workspace"
WorkbookDashboardSubType "Sigma Workbook"
PageDashboard
ElementChart
DatasetDatasetSubType "Sigma Dataset"
UserUser (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​

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​

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

FieldDescription
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
One of boolean, null
Whether to extract lineage of workbook's elements and datasets or not.
Default: True
ingest_owner
One of boolean, null
Ingest Owner from source. This will override Owner info entered from UI.
Default: True
ingest_shared_entities
One of boolean, null
Whether to ingest the shared entities or not.
Default: False
platform_instance
One of string, null
The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://docs.datahub.com/docs/platform-instances/ for more details.
Default: None
env
string
The environment that all assets produced by this connector belong to
Default: PROD
chart_sources_platform_mapping
map(str,PlatformDetail)
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
One of string, null
The instance of the platform that all assets produced by this recipe belong to. This should be unique within the platform. See https://docs.datahub.com/docs/platform-instances/ for more details.
Default: None
workbook_lineage_pattern
AllowDenyPattern
A class to store allow deny regexes
workbook_lineage_pattern.ignoreCase
One of boolean, null
Whether to ignore case sensitivity during pattern matching.
Default: True
workspace_pattern
AllowDenyPattern
A class to store allow deny regexes
workspace_pattern.ignoreCase
One of boolean, null
Whether to ignore case sensitivity during pattern matching.
Default: True
stateful_ingestion
One of StatefulStaleMetadataRemovalConfig, null
Sigma Stateful Ingestion Config.
Default: None
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.fail_safe_threshold
number
Prevents large amount of soft deletes & the state from committing from accidental changes to the source configuration if the relative change percent in entities compared to the previous state is above the 'fail_safe_threshold'.
Default: 75.0
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

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.