要导入或导出备份数据存储/云端文件库而不使用gcloud,您可以使用Google Cloud Storage API进行操作。下面是一个示例,展示如何使用Google Cloud Storage API来导入和导出备份数据存储/云端文件库。
导入备份数据存储/云端文件库:
import requests
def import_data(project_id, bucket_name, file_name, datastore_kind):
url = f"https://firestore.googleapis.com/v1/projects/{project_id}/databases/(default):import"
headers = {"Content-Type": "application/json"}
data = {
"inputUriPrefix": f"gs://{bucket_name}/{file_name}",
"collectionId": datastore_kind
}
response = requests.post(url, headers=headers, json=data)
if response.status_code == 200:
print("Import operation started successfully.")
else:
print(f"Failed to start import operation. Error: {response.text}")
# 使用示例
import_data("your-project-id", "your-bucket-name", "your-file-name", "your-datastore-kind")
导出备份数据存储/云端文件库:
import requests
def export_data(project_id, bucket_name, file_name, datastore_kind):
url = f"https://firestore.googleapis.com/v1/projects/{project_id}/databases/(default):export"
headers = {"Content-Type": "application/json"}
data = {
"outputUriPrefix": f"gs://{bucket_name}/{file_name}",
"collectionIds": [datastore_kind]
}
response = requests.post(url, headers=headers, json=data)
if response.status_code == 200:
print("Export operation started successfully.")
else:
print(f"Failed to start export operation. Error: {response.text}")
# 使用示例
export_data("your-project-id", "your-bucket-name", "your-file-name", "your-datastore-kind")
请确保您已安装了 requests
库,并将上述代码中的参数替换为适合您的项目和设置的值。此外,您还需要设置适当的身份验证和访问权限,以便您的应用程序可以访问Google Cloud Storage和备份数据存储/云端文件库。
下一篇:不使用GCP API进行请求