Changes for page Test Speedup
Last modified by chrisby on 2025/03/08 11:39
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... ... @@ -1,8 +1,9 @@ 1 -Fast-executing tests require less time and are executed more frequently, contributing to improved code quality. Therefore a high test execution speed is beneficial.1 +Fast-executing tests require less time and are executed more frequently, contributing to improved code quality. Therefore a high test execution speed is important. 2 2 3 3 4 4 === Measures === 5 5 6 +* **General code optimizations** such as faster algorithms, data types, etc. 6 6 * **Test type segregation**: Unit tests typically run much faster than other types of tests. For large test suites, consider running unit tests regularly on the developer's local machine, while scheduling more resource-intensive tests to run at a fixed rate in a continuous integration environment, for example. 7 7 * **Partial testing**: You don't have to run all tests every time. Often, it is sufficient to run only the tests related to recently changed code. 8 8 * **Mock slow dependencies** to minimize code execution time, especially operations such as I/O, transaction management, and networking. ... ... @@ -9,7 +9,7 @@ 9 9 * **Prefer in-memory databases during testing** for cleaner and faster operations compared to standard databases. 10 10 * **Identify performance bottlenecks** by increasing the number of threads: 11 11 ** If execution time remains constant, CPU is the bottleneck. Mitigate with faster CPUs, more cores, or additional machines. 12 -** If execution time decreases, I/O is the bottleneck. Use more threads, faster storage(such as SSDs), or additional storagefor concurrent persistence operations.13 +** If execution time decreases, I/O is the bottleneck. Use more threads, faster memory (such as SSDs), or additional storage. 13 13 * **Improve I/O speed by using RAM disks**, such as Linux's tmpfs tool. Configure your tests to direct all file interactions to the RAM disk. 14 14 * **Parallelize test execution.** Multiple threads can improve execution speed even on single-core processors by keeping the CPU busy while other threads wait for disk I/O. 15 15 * **Offload CPU-intensive tasks** to cloud-based computing resources: