Amazon QuickSight¶

Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. Amazon QuickSight seamlessly discovers AWS data sources, enables organizations to scale to hundreds of thousands of users, and delivers fast and responsive query performance by using the Amazon QuickSight Super-fast, Parallel, In-Memory, Calculation Engine (SPICE).

Prerequisite Tasks¶

To use these operators, you must do a few things:

Create necessary resources using AWS Console or AWS CLI.
Install API libraries via pip.
pip install 'apache-airflow[amazon]'
Detailed information is available Installation
Setup Connection.

Operators¶

Amazon QuickSight create ingestion¶

The QuickSightCreateIngestionOperator creates and starts a new SPICE ingestion for a dataset. The operator also refreshes existing SPICE datasets.

tests/system/providers/amazon/aws/example_quicksight.py[source]

create_ingestion = QuickSightCreateIngestionOperator(
    task_id='create_ingestion',
    data_set_id=dataset_id,
    ingestion_id=ingestion_id,
    # Waits by default, setting as False to demonstrate the Sensor below.
    wait_for_completion=False,
)

Sensors¶

Amazon QuickSight ingestion sensor¶

The QuickSightSensor waits for an Amazon QuickSight create ingestion until it reaches a terminal state.

tests/system/providers/amazon/aws/example_quicksight.py[source]

await_job = QuickSightSensor(
    task_id='await_job',
    data_set_id=dataset_id,
    ingestion_id=ingestion_id,
)

Reference¶

Boto3 Library Documentation for QuickSight