Snowpipe 비용¶

리소스 사용 및 관리 오버헤드¶

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 연속 데이터 로드(즉, Snowpipe) 및 파일 크기 조정.

Snowpipe 요금 예상하기¶

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.

데이터 로드 기록 및 비용 보기¶

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.

때때로 데이터 압축 및 유지 관리 프로세스에서 Snowflake 크레딧이 소모될 수 있습니다. 예를 들어, 반환된 결과에는 0 BYTES_INSERTED 및 0 FILES_INSERTED 로 크레딧을 소비한 것으로 표시될 수 있습니다. 이는 데이터가 로딩되지 않고 있지만, 데이터 압축 및 유지 관리 프로세스에서 일부 크레딧을 사용했다는 의미입니다.

계정의 Snowpipe 데이터 로딩과 관련하여 청구된 크레딧을 살펴보려면:

Snowsight:

탐색 메뉴에서 Admin » Cost management 를 선택합니다.

SQL:

다음 중 하나를 쿼리합니다.

• PIPE_USAGE_HISTORY 테이블 함수(Snowflake Information Schema).

• (Account Usage 의) PIPE_USAGE_HISTORY 뷰.

  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.

  쿼리: Snowpipe 비용 기록(일별, 오브젝트별)

  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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  쿼리: Snowpipe 기록 및 m일 평균

  다음 쿼리는 작년에 Snowpipe에서 사용된 평균 일일 크레딧을 주별로 그룹화하여 보여줍니다. 이 쿼리는 해당 연도의 일일 평균 사용량의 이상치를 식별하여 사용량의 급격한 증가 또는 예기치 않은 변화를 조사하는 데 도움이 될 수 있습니다.

  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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