Snowpipeコスト¶

リソースの消費と管理のオーバーヘッド¶

With the credit-per-GB pricing model, Snowpipe billing is calculated based on a fixed credit amount per GB of data that you loaded. This simplified approach means that you don't need to track or manage compute utilization, which was formerly measured with per-second/per-core granularity.

File sizes and staging frequency might impact the performance of Snowpipe. For recommended best practices, see 連続データロード（Snowpipeなど）とファイルサイズ.

Snowpipeの料金の見積もり¶

Estimating Snowpipe charges is straightforward. You can calculate your expected costs by using your anticipated data volume and the fixed credit amount per GB. Because text files --- such as CSV, JSON, XML --- are charged based on their uncompressed size, you must know the compression ratio of your text files.

You can verify these calculations against your actual usage by examining the BILLED_BYTES column in the relevant Account Usage views. The BILLED_BYTES column was introduced in the 2025_05 BCR bundle.

To understand the actual credit consumption for your specific workloads, we suggest that you experiment by performing a typical set of loads.

データロードの履歴とコストの表示¶

Account administrators (users with the ACCOUNTADMIN role) or users with a role granted the MONITOR USAGE global privilege can use Snowsight or SQL to view the credits billed to your Snowflake account within a specified date range.

データ圧縮とメンテナンスの過程で、Snowflakeクレジットが消費されることがあります。たとえば、返された結果が、0 BYTES_INSERTED と0 FILES_INSERTED でクレジットを消費したことを示す場合があります。これは、データがロードされてはいないものの、データの圧縮とメンテナンスのプロセスでクレジットが消費されていることを意味します。

アカウントのSnowpipeデータのロードに対して請求されたクレジットを表示するには、

Snowsight:

ナビゲーションメニューで Admin » Cost management を選択します。

SQL:

次のいずれかをクエリします。

• PIPE_USAGE_HISTORY テーブル関数（Snowflake Information Schema 内）。

• PIPE_USAGE_HISTORY ビュー （Account Usage 内）。

  You can run the following queries against the PIPE_USAGE_HISTORY view. You can verify costs based on volume by using the BYTES_BILLED column.

  クエリ:Snowpipeのコスト履歴（日別、オブジェクト別）

  The following query provides a full list of pipes and the volume of credits that you consumed through the service over the last 30 days, broken out by day.

  SELECT TO_DATE(start_time) AS date,
    pipe_name,
    SUM(credits_used) AS credits_used,
    SUM(bytes_billed) AS bytes_billed_total
  FROM snowflake.account_usage.pipe_usage_history
  WHERE start_time >= DATEADD(month,-1,CURRENT_TIMESTAMP())
  GROUP BY 1,2
  ORDER BY bytes_billed_total DESC;
  

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  クエリ:Snowpipe履歴およびm日平均

  次のクエリは、Snowpipeによって消費された1日の平均クレジットを、前年の週ごとにグループ化して表示します。このクエリは、1年間の日次平均の異常を特定するのに役立ちます。これにより、消費の急増や予期しない変化を調査することができます。

  WITH credits_by_day AS (
    SELECT TO_DATE(start_time) AS date,
      SUM(credits_used) AS credits_used,
      SUM(bytes_billed) AS bytes_billed_total
    FROM snowflake.account_usage.pipe_usage_history
    WHERE start_time >= DATEADD(year,-1,CURRENT_TIMESTAMP())
    GROUP BY 1
  )
  SELECT DATE_TRUNC('week',date),
    AVG(credits_used) AS avg_daily_credits,
    AVG(bytes_billed_total) AS avg_daily_bytes_billed
  FROM credits_by_day
  GROUP BY 1
  ORDER BY 1;
  

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