FivetranConnector

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

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

Total credits used by this destination

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

Destination name added by the user on Fivetran

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

Type of destination on Fivetran. Eg: redshift, bigquery etc.

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

URL to open the destination details on Fivetran

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

Extract time in seconds in the latest sync on fivetran

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

Extracted data volume in metabytes in the latest sync on Fivetran

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

Timestamp (epoch) when the latest sync finished on Fivetran, in milliseconds

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

ID of the latest sync

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

Load time in seconds in the latest sync on Fivetran

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

Loaded data volume in metabytes in the latest sync on Fivetran

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

Process time in seconds in the latest sync on Fivetran

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

Process volume in metabytes in the latest sync on Fivetran

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

Failure reason for the latest sync on Fivetran. If status is FAILURE, this is the description of the reason why the sync failed. If status is FAILURE_WITH_TASK, this is the description of the Error. If status is RESCHEDULED, this is the description of the reason why the sync is rescheduled.

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

Timestamp (epoch) at which the latest sync is rescheduled at on Fivetran

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

Timestamp (epoch) when the latest sync started on Fivetran, in milliseconds

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

Number of tables synced in the latest sync on Fivetran

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

Failure task type for the latest sync on Fivetran. If status is FAILURE_WITH_TASK or RESCHEDULED, this field displays the type of the Error that caused the failure or rescheduling, respectively, e.g., reconnect, update_service_account, etc.

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

Total sync time in seconds in the latest sync on Fivetran

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

Increase in the percentage of free MAR compared to the previous month

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

Increase in the percentage of paid MAR compared to the previous month

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

Increase in the percentage of total MAR compared to the previous month

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

Free Monthly Active Rows used by the connector in the past month

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

Percentage of the account’s total free MAR used by this connector

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

Paid Monthly Active Rows used by the connector in the past month

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

Percentage of the account’s total paid MAR used by this connector

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

Total Monthly Active Rows used by the connector in the past month

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

Percentage of the account’s total MAR used by this connector

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

Connector name added by the user on Fivetran

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

Sync frequency for the connector in number of hours. Eg: Every 6 hours

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

Boolean to indicate whether the sync for this connector is paused or not

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

Timestamp (epoch) on which the connector was setup on Fivetran, in milliseconds

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

Email ID of the user who setpu the connector on Fivetran

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

Full name of the user who setup the connector on Fivetran

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

Total five tables sorted by MAR synced by this connector

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

Total number of tables synced by this connector

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

Type of connector on Fivetran. Eg: snowflake, google_analytics, notion etc.

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

URL to open the connector details on Fivetran

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

Total usage cost by this destination

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

TBC