Aquesta és una versió anterior. La versió actual és la 16.3. JProfiler 16 16.3 · Data de publicació:
Fitxers d’instal·lació 16.2
| Arquitectura | Tipus | Àmbit | Mida del fitxer | Baixa | SHA256 |
|---|---|---|---|---|---|
| 64 bits | EXE | Tots els usuaris | — | download.ej-technologies.com | VirusTotal |
L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.
Notes de la versió
New features:
- Offline profiling can now be configured directly in the -agentpath VM parameter with common profiling settings and a complete automated recording sequence, without requiring a JProfiler config file, the controller API or jpcontroller
- jpenable can now configure offline profiling with common profiling settings and a complete automated recording sequence, interactively or with command line options, without requiring a JProfiler config file
- The Gradle and Ant profiling tasks can now configure offline profiling with common profiling settings and a complete automated recording sequence directly with task attributes, without requiring a JProfiler config file
- MCP server: Made the profiling workflow more robust for weaker models and added support for the Antigravity AI coding tool
- jpexport: Added a -maxEvents parameter for the ProbeEvents export to limit the maximum exported file size for huge event counts. The default is 100000
- JPA/ Hibernate probe: Added support for Hibernate stateless sessions and Hibernate Data Repositories
- Improved stack trace hints in the monitor views and for the thread creation stack trace
- The embedded agent controller API can now be shaded into your application with the -Djprofiler. controllerPackage= [renamed package] system property
Bug fixes:
- JProfiler executables did not exit if the native profiling library could not be found
- Fixed a memory leak in the frontend when recording probe events
- Fixed a race condition when exporting probe events
- Fixed a startup race condition in the MCP server
