Build Efficient Queries

Occasionally, you may encounter long loading times, which can be a result of writing inefficient queries. The image below summarises how you can write efficient queries and how you can avoid writing inefficient ones:

Some additional tips for writing efficient queries include:

• Enhanced Search allows for sub-queries, which can be optimised separately before being included in the main query.
• We process Enhanced Search functions individually, so try to minimise the data set within that function's parameters in order to get a benefit.
• Limit the scope by project and issue types, use time restrictions, status filters, and assignees.
• Always place project, status, and date filters inside the function itself, so only relevant issues are evaluated from the start.
• Add a time-based condition inside the function to limit results to relevant, recent issues.
• Always include an issue type filter inside the function when using recursive or relationship-based functions.

It's worth noting the most performance-intensive functions in Enhanced Search, as listed below:

1. linkedIssuesOf
2. Recursive functions
3. projectMatch
4. versionMatch
5. componentMatch