Logs

Overview

As work is done building your org or using your data, all events will be automatically logged and these logs will be available to you at any time.

The Logs section of the administrator panel provides a detailed history of all interactions with your organization and its data. Using the Jump to button, you can navigate to any particular time in the logs, and can also filter logs similarly to other lists in the administrator panel.

You can aggregate and visualize these logs on the Reports tab.

Audit logs

Audit logs represent all changes to your organization's resources, including approval or revocation of access requests. Audit logs include the user, timestamp, and IP address that performed the action, as well as the entity that was modified.

The following event types are stored in the audit logs:

Event

Dataset created / renamed / deleted

Dataset published / unpublished

New dataset version released

Dataset access configuration updated

Direct access granted / removed / updated

Permission group created / renamed / access configuration updated / deleted

Requirement created / renamed / deleted

Requirement approval request submitted by user

Requirement approval approved/rejected/revoked by admin

Requirement approval expired

Administrator created / removed

Query logs

Query logs store information about all user queries made with your organization's datasets, including on any tables derived from your datasets.

Each log marks a single query and stores information about it such as the timestamp, export environment, IP address, size, source table, etc. You can click on a log to see more information about that event.

Types of queries:

• Transform node run in a project

• Interactive query run on a table

• API query made anywhere

Notebook logs

Notebook logs store information about all notebooks started which reference your organization's datasets, including on any tables derived from your datasets.

Each log marks a notebook session (start to stop in most cases) and stores information about it such as the kernel, duration, source table, etc. You can click on a log to see more information about that event.

Export logs

Export logs store information about all user exports on your dataset tables and any project output tables derived from your datasets.

Each log marks a single export and stores information about it such as the timestamp, export environment, IP address, size, source table, etc. You can click on a log to see more information about that event.