Summary

In this chapter, we have covered a number of ways in which we can improve the performance of our code related to specific governor-constrained resources. We started by looking into improving our CPU time through improved for loops, using maps, and reducing the number of expensive operations we are undertaking. This led us to see how we could improve the performance for one resource, but increase the usage of another inadvertently, which we built on in the next section, on heap size.

In the section discussing heap size, we referred back to the looping code and how we can improve heap size utilization in our loops, but again to the detriment of our CPU time. This also led to a discussion around their difference, with some of these limits being perceived by users (time to run) and others just being internal limits (heap size and memory usage). We also discussed the use of scoping to help keep the heap size down, as well as manually clearing memory by setting variables containing...