README.md

Async parallel multiple api calls

Show a simple way do multiple parallel calls to api's using Queue and Threads in python 2.7

Configuring the application

1. Clone the project: $ git clone https://github.com/jhonjairoroa87/async-parallel-multiple-api-calls
2. Install project requirements: pip install -r requirements.txt

Running the application

Run the following command python runserver.py

Verifying the application is up

Call one of the following urls in your browser:

• http://0.0.0.0:5000/

Execute synchronous call

Call the following api call, that would take between 2.10 and 2.11 seconds

• http://0.0.0.0:5000/sync

You will get a string like this: I just called users, posts and photos in --- 2.11214399338 seconds ---

This is an example of the time that takes to every call that is done sequentially:

    --- 0.000169038772583 seconds --- init photos download
    --- 0.90238904953 seconds --- end photos download
    --- 0.902453184128 seconds --- init posts download
    --- 1.60568118095 seconds --- end posts download
    --- 1.60580420494 seconds --- init users download
    --- 2.11058807373 seconds --- end users download

Execute asynchronous call

Call the following api call, that would take between 0.9 and 1 seconds

• http://0.0.0.0:5000/async

You will get a string like this: I just called users, posts and photos in --- 0.904438972473 seconds ---

This is an example of the time that takes to every call that is done sequentially:

    --- 0.000602960586548 seconds --- init photos download
    --- 0.000463962554932 seconds --- init posts download
    --- 0.000311136245728 seconds --- init users download
    --- 0.50043296814 seconds --- end users download
    --- 0.700552940369 seconds --- end posts download
    --- 0.900881052017 seconds --- end photos download

Useful links:

• Queue – A thread-safe FIFO implementation
• 8.10. Queue — A synchronized queue class
• Python Threading and Queues – and why it’s awesome