Testing your app with a large data set

Always consider the impact your app may have in instances with large data sets, for example many users, groups, projects, spaces, issues, pages, repos, commits, comments. You should ensure you have appropriate indexes set up on all tables introduced by your feature or app. Wherever possible, you should filter data in database queries, rather than relying on in-application filtering, which may require loading and discarding lots of data.

Finally, always test your feature or app on a cluster instance with a big data set.

Bitbucket guidelines

A Bitbucket Data Center instance is considered a large instance if it exceeds the baseline for these dimensions:

Dimension	Baseline
General
Users	15,000
Groups	5,000
Projects	30,000
Repositories	75,000
Pull requests
Open	100,000
Closed	5,000,000
Comments on pull requests	10,000,000
Nodes	5
Continuous load for the baseline in the performance smoke test
Clone	8 concurrent; 30/minute
Fetch	8 concurrent; 800/minute
Push	8 concurrent; 10/minute
User interface
Users can perform any of the following:	List projects List project repositories Browse pull requests Browse diffs Comment on pull requests

Confluence guidelines

A Confluence Data Center instance is considered a large instance if it exceeds the baseline for these dimensions:

Dimension	Baseline
General
Users	100,000
Groups	15,000
Group memberships per user	1,500 (20 average)
Spaces	5,000
Pages	1,000,000
Pages per space	10,000 1,000 pages at the same level of hierarchy 20 page hierarchy depth
Comments per page	100
Attachments	100,000
Attachments per page	1,000 (10 average)
Permissions
Global permissions	200
Space permissions	200
Page permissions	200
Nodes	4
User interface
Users can perform any of the following:	View dashboard View page Create page Edit page (12 collaborators in a single edit session) Add comment Add inline comment Quick search Site search Add attachment View attachment

Jira guidelines

A Jira Data Center instance is considered a large instance if it exceeds the baseline for these dimensions:

Dimension	Baseline
Users	100,000
Groups	22,500
Projects	1,500
Issues	1,000,000
Custom fields	1,400
Workflows	450
Attachments	660,000
Comments	2,900,000
Agile boards	1,450
Security levels	170
Permissions	200

Learn more

• User Management Limitations and Recommendations.
• Guidelines for Data Center app develpment