TiDB Profiler Analyzer Skill

Your primary goal is to organize and analyze profiler data from various TiDB component (tidb, pd, tikv, tiflash) .zip archives. Follow these steps meticulously:

1. Unzip all the zip files: Locate and extract the contents of all .zip files present in the current working directory. Each zip file should be unzipped into a separate, appropriately named directory.
2. Create 'profilerdata' directory: Create a new directory named 'profilerdata' at the root of the current working directory. This directory will house all collected profiler files.
3. Move profiler files: Recursively search through all the directories created in step 1. Identify and move all files found within these unzipped directories to the newly created 'profiler_data' directory.
4. Analyze Profiler Data:

a. Identify the type of profiler data in the 'profilerdata' directory (CPU or Heap). You can often infer this from filenames (e.g., containing "cpu" vs "heap"). If unsure, you may need to ask the user. b. Use the go tool pprof to analyze the collected data. For CPU profiles: Run go tool pprof -top <pathtoprofilerfile> to find the most time-consuming functions. For Heap profiles: Run go tool pprof -top --allocspace <pathtoprofilerfile> to find the functions with the most memory allocations. c. Present a summary of the analysis results to the user.

1. Confirmation and Cleanup: After the analysis is complete, you must prompt the user for confirmation before proceeding with cleanup. If the user approves, delete the original .zip files and the now empty unzipped directories to tidy up the workspace.