Ingesting and Deleting Data

​

Overview

This section provides an overview of the API for ingesting and deleting data from a collection. It includes usage examples for many common scenarios.

Check out the examples below for common scenarios when ingesting and deleting data from collections. The examples assume you have already created a client and accessed a specific dataset collection that you have write permissions on.

from tilebox.datasets import Client

client = Client()
datasets = client.datasets()
collections = datasets.open_data.copernicus.sentinel1_sar.collections()
collection = collections["S1A_IW_RAW__0S"]

​

Ingesting data

​

Deleting data

To delete data from a collection, use the delete or delete_ids method.

One common way to delete data is to load it from a collection and then forward it to the delete method.

datapoints = collection.load(("2023-05-01", "2023-06-01"))

n_deleted = collection.delete(datapoints)
print(f"Deleted {n_deleted} data points.")

Deleted 104 data points.

In case you already have the list of datapoint IDs that you want to delete, you can use the delete_ids method.

from uuid import UUID

datapoints_ids=[
  UUID("29b29ade-db02-427a-be9c-a8ef8184f544"),
  UUID("fa4a8e4e-6afe-41a3-b228-b867330669bd"),
]

n_deleted = collection.delete_ids(datapoints_ids)
print(f"Deleted {n_deleted} data points.")

Deleted 2 data points.