QuickSight Ingestion

QuickSight Ingestion in AWS refers to the process of loading data into Amazon QuickSight for analysis and visualization. An ingestion represents a specific data load job that imports data from a source into a dataset within QuickSight. It tracks the status, progress, and results of the data load, enabling users to refresh datasets and keep dashboards up to date with the latest information.

aws.quicksight_ingestion

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
arncorestringThe Amazon Resource Name (ARN) of the resource.
created_timecoretimestampThe time that this ingestion started.
error_infocorejsonError information for this ingestion.
ingestion_idcorestringIngestion ID.
ingestion_size_in_bytescoreint64The size of the data ingested, in bytes.
ingestion_statuscorestringIngestion status.
ingestion_time_in_secondscoreint64The time that this ingestion took, measured in seconds.
queue_infocorejsonInformation about a queued dataset SPICE ingestion.
request_sourcecorestringEvent source for this ingestion.
request_typecorestringType of this ingestion.
row_infocorejsonInformation about rows for a data set SPICE ingestion.
tagscorehstore