MongoDBCollection

class pyatlan.model.assets.MongoDBCollection(*, typeName: str = 'MongoDBCollection', attributes: MongoDBCollection.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

ALIAS: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Alias for this table.

CALCULATION_VIEW_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

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

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

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

Number of columns in this table.

DATABASE_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

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

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

EXTERNAL_LOCATION: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

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

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

Format of the external location of this table, for example: JSON, CSV, PARQUET, etc.

EXTERNAL_LOCATION_REGION: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Region of the external location of this table, for example: S3 region.

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

Iceberg table catalog name (can be any user defined name)

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

Iceberg table catalog type (glue, polaris, snowflake)

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

Catalog table name (actual table name on the catalog side).

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

Catalog table namespace (actual database name on the catalog side).

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

Iceberg table base location inside the external volume.

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

Iceberg table type (managed vs unmanaged)

IS_PARTITIONED: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether this table is partitioned (true) or not (false).

IS_PROFILED: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether this asset has been profiled (true) or not (false).

IS_QUERY_PREVIEW: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether preview queries are allowed for this table (true) or not (false).

IS_SHARDED: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether this table is a sharded table (true) or not (false).

IS_TEMPORARY: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether this table is temporary (true) or not (false).

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

Time (epoch) at which this asset was last profiled, in milliseconds.

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

Average size of an object in the collection.

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

Seconds after which documents in a time series collection or clustered collection expire.

MONGO_DB_COLLECTION_IS_CAPPED: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether the collection is capped (true) or not (false).

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

Maximum number of documents allowed in a capped collection.

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

Maximum size allowed in a capped collection.

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

Number of indexes on the collection.

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

Number of orphaned documents in the collection.

MONGO_DB_COLLECTION_SCHEMA_DEFINITION: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Definition of the schema applicable for the collection.

MONGO_DB_COLLECTION_SUBTYPE: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Subtype of a MongoDB collection, for example: Capped, Time Series, etc.

MONGO_DB_COLLECTION_TIME_FIELD: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Name of the field containing the date in each time series document.

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

Closest match to the time span between consecutive incoming measurements.

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

Total size of all indexes.

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

TBC

NO_SQL_SCHEMA_DEFINITION: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Represents attributes for describing the key schema for the table and indexes.

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

Number of partitions in this table.

PARTITION_LIST: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

List of partitions in this table.

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

Partition strategy for this table.

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

Number of times this asset has been queried.

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

Time (epoch) at which the query count was last updated, in milliseconds.

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

Configuration for preview queries.

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

Number of unique users who have queried this asset.

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

Map of unique users who have queried this asset to the number of times they have queried it.

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

Number of rows in this table.

SCHEMA_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

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

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

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

Size of this table, in bytes.

TABLE_DEFINITION: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Definition of the table.

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

External volume name for the table.

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

Extra attributes for Impala

TABLE_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

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

Number of objects in this table.

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

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

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

Data retention time in days.

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

Type of the table.

VIEW_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

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

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.