There is a cost associated with exception handling on some platforms and with some compilers. Namely, Visual Studio, when building a 32-bit target, will register a handler in every function that has local variables with non-trivial destructor. Basically, it sets up a try/finally handler. The other technique, employed by gcc and Visual Studio targeting 64-bits, … Read more
On most architectures, the cost consists of saving all (or some, or none) of the registers to the stack, pushing the function arguments to the stack (or putting them in registers), incrementing the stack pointer and jumping to the beginning of the new code. Then when the function is done, you have to restore the … Read more
Take a look at the java API, and you’ll see many classes and interfaces with the same name in different packages. For example: java.lang.reflect.Array java.sql.Array So, if you import java.lang.reflect.* and java.sql.* you’ll have a collision on the Array type, and have to fully qualify them in your code. Importing specific classes instead will save … Read more
It appears that the overhead is temporary diskspace that the database used to run some of the queries, so you should only worry if this gets really high. You can compare ‘Optimizing the table’ with the defragmenting of your hard drive. I quote: Every database will, over time, require some form of maintenance to keep … Read more
Order of magnitude: zero. In other words, you won’t see your throughput cut in half, or anything like it, when you add TLS. Answers to the “duplicate” question focus heavily on application performance, and how that compares to SSL overhead. This question specifically excludes application processing, and seeks to compare non-SSL to SSL only. While … Read more
It’s the resources required to set up an operation. It might seem unrelated, but necessary. It’s like when you need to go somewhere, you might need a car. But, it would be a lot of overhead to get a car to drive down the street, so you might want to walk. However, the overhead would … Read more
I think there’s a separate way to raise the heap limit of the dexing operation. Add this to your android closure in your build.gradle file: dexOptions { javaMaxHeapSize “4g” } and see if that helps. (idea courtesy of this answer from Scott Barta)