Table of Contents
Python thread pool ThreadPoolExecutor, passing single parameter and multiple parameters
This is the thread pool passing a single parameter
The following is The main method of passing multiple parameters is pool.submit(lambda cxp:test(*cxp),(j,k))
Home Backend Development Python Tutorial How to pass single parameter and multiple parameters to python thread pool ThreadPoolExecutor

How to pass single parameter and multiple parameters to python thread pool ThreadPoolExecutor

Apr 19, 2023 pm 07:22 PM
python threadpoolexecutor

    Python thread pool ThreadPoolExecutor, passing single parameter and multiple parameters

    This is the thread pool passing a single parameter

    from concurrent.futures import ThreadPoolExecutor,as_completed
    def test(a):
            print(a)
    
    qq = {"a":"1","b":"2","c":"3"}
    with ThreadPoolExecutor() as pool:
        for j ,k in qq.items():
            res = pool.submit(test,j)
            kk = res.result()
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    The following is The main method of passing multiple parameters is pool.submit(lambda cxp:test(*cxp),(j,k))

    This line of code needs to be disassembled and viewed

    The first is the anonymous function: lambda cxp:test(*cxp) This is the first step

    This means: pass the cxp parameter to test

    The second step is submit(lambda cxp:test(cxp),(j,k))

    sumbit method requires passing two parameters, the first one is function, the second one is the parameter of this function

    The anonymous function just now is the first parameter, and then (j,k) is the second parameter. This parameter is to be passed to the function, so (j,k ) gives cxp

    python thread pool to pass in multiple parameters ThreadPoolExecutor.submit multi-parameter support

    from concurrent.futures import ThreadPoolExecutor,as_completed
    def test(a,b):
            print(a,b)
    
    qq = {"a":"1","b":"2","c":"3"}
    with ThreadPoolExecutor() as pool:
        for j ,k in qq.items():
            res = pool.submit(lambda cxp:test(*cxp),(j ,k))
            last= res.result())
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