asyncio_trial

Asyncoio trial purpose

Table of Contents

Concurrency Test
Results:
Step 1.
Step 2.
Step 3.
Asynchronous：
ThreadPool:
ProcessPool:
Sequence：

Decorators
Git from a folder of repoA to repoB
Step 1.
Step 2.
Step 3.
Step 4.
Step 5.
Step 6.
Step 7.
Step 8.
Step 9. Previous log to add new Repo.
Step 10. Error Msg
Step 11.
Step 12. Done!

Reference

Concurrency Test

Results:

asynchronous vs processpool vs threadpool vs sequential

Step 1.

Serve Side: Setup Web Server on Google Colud Platform (GCP) for testing purpose

Step 2.

Modules Installation:

On Linux:

(venv3) [root@CentOS python3-concurrency]# pip install -r requirements-linux.txt

On Windows（Without uvloop）:

(Flask_trial) d:\project\Python\asyncio_trial\concurrency> pip install -r requirements-win32.txt

Step 3.

Asynchronous：

Round 1:

Round 2:

Round 3:

ThreadPool:

Round 1:

Round 2:

Round 3:

ProcessPool:

Round 1:

Round 2:

Round 3:

Sequence：

Round 1:

Decorators

Decorators are “wrappers”, which means that they let you execute code before and after the function they decorate without modifying the function itself.

Git from a folder of repoA to repoB

Step 1.

Step 2.

Step 3.

Step 4.

Step 5.

Step 6.

Step 7.

Step 8.

Step 9. Previous log to add new Repo.

Step 10. Error Msg

Step 11.

Step 12. Done!

Reference

• A Declarative HTTP Client for Python
• Q: How can I make a chain of function decorators in Python?
• How to use *args and **kwargs in Python
• Can you explain closures (as they relate to Python)?
• How to make a chain of function decorators?
• [教學] Git搬運repository部分檔案至新repository 如何轉移部分檔案至新的repo並能保留舊有commit
• python3-concurrency sequential vs processpool vs threadpool vs asynchronous