Avoiding sharing computations |
Avoid having any user own more than 10,000 records. |
Improving performance |
Use a data-tiering strategy that spreads data across multiple objects, and brings in
data on demand from another object or external store. |
Reducing the time it takes to create full copies of production sandboxes with large
data volumes |
When creating copies of production sandboxes, exclude field history if it isn’t
required, and don’t change a lot of data until the sandbox copy is created. |
Making deployments more efficient |
Distribute child records so that no parent has more than 10,000 child records. For
example, in a deployment that has many contacts but does not use accounts, set up several
dummy accounts and distribute the contacts among them. |