Apache spark 使用Apache Spark将数据存储导出到GCS存储桶中的数据存储\u备份

我想每天将我的数据存储导出到GCS bucket，格式为datastore\u BACKUP。目前，我正在使用curl命令通过GCP数据存储导出服务进行导出，如下所示：

-X POST \
-H "Authorization: Bearer $access_token" \
-H "Content-Type: application/json" \
https://datastore.googleapis.com/v1/projects/viu-data-warehouse-prod:export \
-d '{
  "labels": {
    "exportVersion": "'"$BUILD_ID"'"
  },
  "outputUrlPrefix": "'"$output_url"'",
  "entityFilter": {
    "namespaceIds": ["customer_one_view"],
    "kinds": ["user_view"]
  },
}') ```


I want it to be done by Apache Spark to make it faster. My Problem is it takes 5 to 6 hrs to finish and as Data is growing it is increasing,

I need suggestion to optimize this process by achieving Parallel processing. I would like to do it via Apache Spark as it is very Fast. Please suggest me how can I do it. 

---

如果您没有绑定到Spark或特定的导出格式。您可以从中的GCS Apache Beam（数据流）数据存储模板开始，然后根据您的需要进行转换。

感谢@Jim Morrison的建议。