Table: databricks_sharing_share - Query Databricks Sharing Shares using SQL

Databricks Sharing is a feature in the Databricks platform that enables users to share notebooks, dashboards, and other resources with others. It provides a centralized way to manage the sharing of resources in a secure and controlled manner. Databricks Sharing helps users collaborate effectively by providing access to shared resources based on defined permissions.

Table Usage Guide

The databricks_sharing_share table provides insights into the shared resources within Databricks. As a data engineer or data scientist, you can explore details about each share through this table, including the owner, permissions, and associated metadata. Utilize it to uncover information about shared resources, such as who has access to them and what level of permissions they have.

Examples

Basic info

Explore the details of shared resources in your Databricks environment, including who created them and when, to better manage your resources and understand user activity.

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share;

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share;

List objects shared in past 7 days

Gain insights into the recent sharing activity on your Databricks platform. This query allows you to identify objects that have been shared in the past week, providing transparency and control over data distribution.

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share
where
  created_at > now() - interval '7' day;

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share
where
  created_at > datetime('now', '-7 day');

List all shared objects

Explore which objects have been shared across your account, identifying who added them and when, to gain insights into your shared resources management. This can be particularly useful for auditing or tracking changes over time.

select
  name as share_name,
  o ->> 'name' as object_name,
  o ->> 'added_at' as added_at,
  o ->> 'added_by' as added_by,
  o ->> 'data_object_type' as data_object_type,
  o ->> 'shared_as' as shared_as,
  o ->> 'status' as status,
  account_id
from
  databricks_sharing_share,
  jsonb_array_elements(objects) as o;

select
  name as share_name,
  json_extract(o.value, '$.name') as object_name,
  json_extract(o.value, '$.added_at') as added_at,
  json_extract(o.value, '$.added_by') as added_by,
  json_extract(o.value, '$.data_object_type') as data_object_type,
  json_extract(o.value, '$.shared_as') as shared_as,
  json_extract(o.value, '$.status') as status,
  account_id
from
  databricks_sharing_share,
  json_each(objects) as o;

Get permissions for each share

Explore which permissions are assigned to each shared resource in Databricks to understand access control and security aspects. This can help in identifying instances where permissions may be overly broad or restrictive, aiding in efficient security management.

select
  name,
  p ->> 'principal' as principal_name,
  p ->> 'privileges' as permissions
from
  databricks_sharing_share,
  jsonb_array_elements(permissions) p;

select
  name,
  json_extract(p.value, '$.principal') as principal_name,
  json_extract(p.value, '$.privileges') as permissions
from
  databricks_sharing_share,
  json_each(permissions) as p;

List objects shared by a particular owner

Discover the items that a specific user has shared, providing insights into their collaborative behavior and resource distribution. This can be useful for understanding user engagement and tracking resource usage within a team.

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share
where
  owner = 'owner-username';

select
  name,
  comment,
  created_at,
  created_by,
  account_id
from
  databricks_sharing_share
where
  owner = 'owner-username';

Find the account that has the most objects shared

Discover the account with the highest number of shared objects to understand the most active users in terms of resource distribution. This can be useful for identifying key contributors or potential bottlenecks in your data sharing process.

select
  account_id,
  count(*) as object_sharing_count
from
  databricks_sharing_share
group by
  account_id
order by
  object_sharing_count desc
limit
  1;

select
  account_id,
  count(*) as object_sharing_count
from
  databricks_sharing_share
group by
  account_id
order by
  object_sharing_count desc
limit
  1;

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- databricks

You can pass the configuration to the command with the --config argument:

steampipe_export_databricks --config '<your_config>' databricks_sharing_share