title | description |
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Steampipe Table: databricks_sharing_share - Query Databricks Sharing Shares using SQL |
Allows users to query Sharing Shares in Databricks, specifically the details of each share, offering insights into shared resources and their permissions. |
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.
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.
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;
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');
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;
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;
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';
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;