Schema

class pyatlan.model.assets.Schema(*, typeName: str = 'Schema', attributes: Schema.Attributes = None, businessAttributes: Dict[str, Any] | None = None, createdBy: str | None = None, createTime: int | None = None, deleteHandler: str | None = None, guid: str = None, isIncomplete: bool | None = None, labels: List[str] | None = None, relationshipAttributes: RelationshipAttributes | Dict[str, Any] | None = None, status: EntityStatus | None = None, updatedBy: str | None = None, updateTime: int | None = None, version: int | None = None, classifications: List[AtlanTag] | None = None, classificationNames: List[str] | None = None, displayText: str | None = None, entityStatus: str | None = None, relationshipGuid: str | None = None, relationshipStatus: str | None = None, relationshipType: str | None = None, meaningNames: List[str] | None = None, meanings: List[Meaning] | None = None, customAttributes: Dict[str, Any] | None = None, scrubbed: bool | None = None, pendingTasks: List[str] | None = None, uniqueAttributes: Dict[str, Any] | None = None, appendRelationshipAttributes: Dict[str, Any] | None = None, removeRelationshipAttributes: Dict[str, Any] | None = None, addOrUpdateClassifications: List[AtlanTag] | None = None, removeClassifications: List[AtlanTag] | None = None, semantic: SaveSemantic | None = None, depth: int | None = None, immediateUpstream: List[LineageRef] | None = None, immediateDownstream: List[LineageRef] | None = None)

Description

CALCULATION_VIEWS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DATABASE: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DATABRICKS_AI_MODEL_CONTEXTS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

FUNCTIONS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

LINKED_SCHEMA_QUALIFIED_NAME: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Unique name of the Linked Schema on which this Schema is dependent. This concept is mostly applicable for linked datasets/datasource in Google BigQuery via Analytics Hub Listing

MATERIALISED_VIEWS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

PROCEDURES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SCHEMA_EXTERNAL_LOCATION: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

External location of this schema, for example: an S3 object location.

SNOWFLAKE_AI_MODEL_CONTEXTS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SNOWFLAKE_DYNAMIC_TABLES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SNOWFLAKE_PIPES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SNOWFLAKE_STAGES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SNOWFLAKE_STREAMS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SNOWFLAKE_TAGS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

TABLES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

TABLE_COUNT: ClassVar[NumericField] = <pyatlan.model.fields.atlan_fields.NumericField object>

Number of tables in this schema.

VIEWS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

VIEWS_COUNT: ClassVar[NumericField] = <pyatlan.model.fields.atlan_fields.NumericField object>

Number of views in this schema.