Schema:: DATA_SHARING_USAGE

LISTING_CONSUMPTION_DAILY View¶

This view in the DATA_SHARING_USAGE schema can be used to analyze consumption of a Snowflake Native App or shared data associated with listings in a data exchange, such as the Snowflake Marketplace. The view returns a record for each consumer account that queried data for a given date.

Columns¶

Column Name	Data Type	Description
EVENT_DATE	DATETIME	Date of the consumption.
EXCHANGE_NAME	VARCHAR	Name of the data exchange or the Snowflake Marketplace to which the listing belongs.
SNOWFLAKE_REGION	VARCHAR	Snowflake Region where the consumption occurred.
LISTING_NAME	VARCHAR	Identifier for the listing.
LISTING_DISPLAY_NAME	VARCHAR	Display name of the listing.
LISTING_GLOBAL_NAME	VARCHAR	Global name of the listing. Unique for each listing and is used to create the listing URL.
PROVIDER_ACCOUNT_LOCATOR	VARCHAR	Account locator of the data product owner.
PROVIDER_ACCOUNT_NAME	VARCHAR	Account name of the data product owner.
SHARE_NAME	VARCHAR	Share name. If your data product is a Snowflake Native App, this is NULL.
CONSUMER_ACCOUNT_LOCATOR	VARCHAR	Account locator name of the consumer.
CONSUMER_ACCOUNT_NAME	VARCHAR	Account name of the consumer.
CONSUMER_ORGANIZATION	VARCHAR	Organization name of the consumer.
JOBS	INTEGER	Total jobs run that day on the data product. A job is recorded when a consumer query resolves objects included in the data share or Snowflake Native App attached to the listing.
REGION_GROUP	VARCHAR	Region group where the account of the consumer is located.
CONSUMER_NAME	VARCHAR	Contains the company name of the consumer account that accessed, used, or requested a listing. If no name is available, such as for trial accounts, the value is NULL.

Usage Notes¶

Latency for the view may be up to 2 days.
The data is retained for 365 days (1 year).
The view contains data for all data products, whether your data product is a Snowflake Native App or a share.

Examples¶

Shows top listings by consumption for a given time period:

 SELECT
   listing_name,
   listing_display_name,
   SUM(jobs) AS jobs
FROM snowflake.data_sharing_usage.listing_consumption_daily
WHERE 1=1
   AND event_date BETWEEN '2021-01-01' AND '2021-01-31'
GROUP BY 1,2
ORDER BY 3 DESC

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Shows top consumers by listing:

SELECT
  *,
  ROW_NUMBER() OVER (PARTITION BY listing_name, listing_display_name ORDER BY jobs DESC) AS rank
FROM (
  SELECT
    listing_name,
    listing_display_name,
    consumer_account_locator,
    SUM(jobs) AS jobs
  FROM snowflake.data_sharing_usage.listing_consumption_daily
  WHERE 1=1
    AND event_date BETWEEN '2021-01-01' AND '2021-01-31'
  GROUP BY 1,2,3
)
ORDER BY
  listing_name,
  listing_display_name,
  rank

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