通过API导出BigQuery表数据：使用该API是否产生费用？

Hey there! Let's break down whether using the BigQuery API to export data will cost you anything—it depends entirely on how you're executing the export:

• Exporting to Google Cloud Storage (GCS)

  • If you're exporting to a GCS bucket in the same region as your BigQuery table, the export operation itself doesn't incur BigQuery-specific fees. You will, however, pay for the storage of the data in GCS if you keep it there long-term.
  • If you export to a GCS bucket in a different region, you'll be charged for cross-region data transfer—rates vary based on the amount of data and the regions involved.

• Exporting directly to local/non-GCS storage

  • When you pull data directly to your local machine or an external storage system via the API, BigQuery charges you based on the number of bytes scanned—just like running a SELECT query. The total bytes scanned from your table during the export will count towards your BigQuery query costs.
  • On top of that, if the data is transferred across Google Cloud regions or to an external network, you'll also face egress data transfer fees.

• Other key notes

  • If you're on BigQuery's on-demand pricing model, these scan and transfer fees are billed based on actual usage. If you're using a flat-rate reservation, you won't get extra charges as long as you stay within your reserved capacity—any usage beyond that will follow on-demand rates.
  • Keep in mind: if you do any data transformation (like filtering or aggregating) before exporting, the bytes scanned for those operations will also be included in your billing.

As a quick example: If your table is in us-central1 and you export to a GCS bucket in the same region, only GCS storage costs apply. But if you pull the data directly to your local server, you'll pay for the bytes scanned in BigQuery plus egress fees from us-central1 to your server's location.

内容的提问来源于stack exchange，提问作者Jigar Navadiya