Marketplace system tables reference
Important
This system table is in Public Preview. To access the table, the schema must be enabled in your system
catalog. For more information, see Enable system table schemas.
This article provides an overview of how to use system tables to help monitor your Databricks Marketplace selling process.
Marketplace system tables live in the system.marketplace
schema. The following tables are available:
- Listing access: Records the consumer info for completed request data or get data events on your listings.
- Funnel events: Records impressions and actions taken on your listings.
Note
You can use the Provider Analytics Dashboard to monitor recipient usage metrics. The dashboard pulls data from the Marketplace system tables. See Monitor listing usage metrics using dashboards.
Listing access events table
The listing access events table retrieves the consumer info for completed request data or get data events on your listings.
Table path: This system table is located at system.marketplace.listing_access_events
.
Column name | Data type | Description |
---|---|---|
account_id |
string | The account ID that hosts the listing. |
metastore_id |
string | The metatore ID that hosts the listing. |
metastore_cloud |
string | The cloud provider of the metastore that hosts the listing. |
metastore_region |
string | The region of the metastore that hosts the listing. |
provider_id |
string | The provider profile ID. |
provider_name |
string | The provider profile name. |
listing_id |
string | The listing ID. |
listing_name |
string | The listing name. |
consumer_delta_sharing_recipient_name |
string | The underlying Delta Sharing recipient name for the consumer. The value is null when the event_type is REQUEST_DATA . |
consumer_delta_sharing_recipient_type |
string | Whether the consumer is on a Azure Databricks account or not. Values will be either OPEN or DATABRICKS . |
consumer_cloud |
string | The consumer’s cloud. Nullable if consumer_delta_sharing_recipient_type is OPEN . |
consumer_region |
string | The consumer’s region. Nullable if consumer_delta_sharing_recipient_type is OPEN . |
consumer_metastore_id |
string | The consumer’s metastore ID. Nullable if consumer_delta_sharing_recipient_type is OPEN . |
consumer_email |
string | The consumer’s email address. PII. |
consumer_name |
string | The consumer’s name. PII. |
consumer_company |
string | The consumer’s company. |
consumer_intended_use |
string | The consumer’s intended use of the listing. |
consumer_comments |
string | Any additional comment the consumer left. |
event_type |
string | The type of access. The value can be either REQUEST_DATA or GET_DATA . |
event_date |
date | The UTC date the event happened. |
event_time |
timestamp | The exact UTC timestamp when the event happened. Timezone information is recorded at the end of the value with +00:00 representing UTC. |
Listing funnel events table
The listing funnel events table analyzes impressions and actions taken on your listings. The event_type
tells you what action the consumer took on your listing.
Table path: This system table is located at system.marketplace.listing_funnel_events
.
Column name | Data type | Description |
---|---|---|
account_id |
string | The account ID that hosts the listing. |
metastore_id |
string | The metatore ID that hosts the listing. |
metastore_cloud |
string | The cloud provider of the metastore that hosts the listing. |
metastore_region |
string | The region of the metastore that hosts the listing. |
provider_id |
string | The provider profile ID. |
provider_name |
string | The provider profile name. |
listing_id |
string | The listing ID. |
listing_name |
string | The listing name. |
event_type |
string | The type of consumer action. See Event types. |
event_time |
timestamp | The exact UTC timestamp when the event happened. Timezone information is recorded at the end of the value with +00:00 representing UTC. |
event_date |
date | The UTC date the event happened. |
consumer_cloud |
string | The consumer’s cloud. Nullable if consumer_delta_sharing_recipient_type is OPEN . |
consumer_region |
string | The consumer’s region. Nullable if consumer_delta_sharing_recipient_type is OPEN . |
Event types
Possible values for the event_type column are:
VIEW_LISTING
START_REQUEST_DATA
COMPLETE_REQUEST_DATA
ABANDON_REQUEST_DATA
START_GET_DATA
COMPLETE_GET_DATA
ABANDON_GET_DATA
UNINSTALL_DATA
FAIL_REQUEST_DATA
FAIL_GET_DATA
Known limitations
- As of March 12, 2024, Marketplace system tables include activity from consumers using Databricks on Google Cloud. Tables do not include Google Cloud consumer activity prior to this date.
- In the
listing_funnel_events
table, the event types ofABANDON_FAIL_DATA
andFAIL_GET_DATA
were not recorded prior to November 30, 2023.
Example queries
This section includes the following sample queries you can use to gain insight into consumer activity on your listings.
- Consumer requests from the last 10 days
- Top listings by number of requests
- View top requesters
- View the number of times each consumer action was taken on a listing
Consumer requests from the last 10 days
SELECT event_date, provider_name, listing_name, listing_id, consumer_delta_sharing_recipient_name, consumer_cloud, consumer_region, consumer_name, consumer_email, consumer_company
FROM system.marketplace.listing_access_events
WHERE event_type = 'REQUEST_DATA'
AND event_date >= date_add(current_date(), -10)
Top listings by number of requests
SELECT listing_name, consumer_cloud, count(*) as requestCount
FROM system.marketplace.listing_access_events
GROUP BY listing_name, consumer_cloud
ORDER BY requestCount DESC
View top requesters
SELECT consumer_name, consumer_email, count(*) as requestCount
FROM system.marketplace.listing_access_events
GROUP BY consumer_name, consumer_email
ORDER BY requestCount DESC
View the number of times each consumer action was taken on a listing
SELECT event_type, COUNT(*) as occurrences
FROM system.marketplace.listing_funnel_events
WHERE listing_name = `{{listing_name}}`
GROUP BY event_type
Notebook demo: Analyze the Marketplace system tables
The following notebook includes the examples queries from this article along with additional cells that provide further analysis.