multithreading

Java sockets - Client doesn't read the strings from server's socket

戏子无情 提交于 2020-04-27 05:34:50
问题 I have two Java projects that communicate with sockets through strings. One is a client and the other is a server. The server accepts the connection trough the "ServerSocket" and creates a new "Session" (Thread) with a freshly created "Socket". Meanwhile, the client only has a "Socket", once that socket is connected, the client creates a "ClientSession" (Thread, pretty similar to "Session). What I want is the server to ask the client his username through the "USERNAME" string, and the client

Java sockets - Client doesn't read the strings from server's socket

﹥>﹥吖頭↗ 提交于 2020-04-27 05:33:27
问题 I have two Java projects that communicate with sockets through strings. One is a client and the other is a server. The server accepts the connection trough the "ServerSocket" and creates a new "Session" (Thread) with a freshly created "Socket". Meanwhile, the client only has a "Socket", once that socket is connected, the client creates a "ClientSession" (Thread, pretty similar to "Session). What I want is the server to ask the client his username through the "USERNAME" string, and the client

Asynchronously copy large files while reporting progress to a progress bar (example?)

半腔热情 提交于 2020-04-22 05:15:29
问题 I need to copy a number of large files and report progress back to the UI via a progress bar. I bought "C# 5.0 in a Nutshell". I'm on page 597. I have been reading about parallel programming. I am trying to accomplish what in my mind is quite simple based on some examples in this book, but I'm really struggling. There must be some gaps in my understanding. This is why I'm posting this question. I have looked into background workers, but find myself running into cross-threading compiler errors

How to optimize a nested for loop, looping over json data to extract values of certain keys in python

雨燕双飞 提交于 2020-04-18 12:32:48
问题 I am reading log files in my python code which contains some nested json data. I have a nested for loop containing 4 for-loops from which values of certain keys are extracted and appended to a dataframe. The nested for-loop is taking too much time and I saw from other answers that multiprocessing is the way to go for nested for-loops but did not find an example for json data. What is the best approach for this ? Below is my code to extract data from log files and into dataframes.

how can I find execution time of multi threaded application

依然范特西╮ 提交于 2020-04-18 04:42:11
问题 After execution of below code I am getting time as 0 , because time calculation is present in main thread and it is calculating durationTime value and then executing threadPool. I wants to find total time taken while executing threads. public static void main(String[] args) { long startTime = System.nanoTime(); int numberThread=10; String apiToBeCall="abcApi"; Runnable r1=new SFSrmMainClass(apiToBeCall); ExecutorService threadPool=Executors.newFixedThreadPool(numberThread); for (int i=0;i

Would it makes the kernel level thread clearly preferable to user level thread if system calls is as fast as procedure calls?

不打扰是莪最后的温柔 提交于 2020-04-18 03:51:32
问题 Some web searching results told me that the only deficiency of kernel-level thread is the slow speed of its management(create, switch, terminate, etc.). It seems that if the operation on the kernel-level thread is all through system calls, the answer to my question will be true . However, I've searched a lot to find whether the management of kernel-level thread is all through system call but find nothing. And I always have an instinct that such management should be done by the OS

Would it makes the kernel level thread clearly preferable to user level thread if system calls is as fast as procedure calls?

社会主义新天地 提交于 2020-04-18 03:51:06
问题 Some web searching results told me that the only deficiency of kernel-level thread is the slow speed of its management(create, switch, terminate, etc.). It seems that if the operation on the kernel-level thread is all through system calls, the answer to my question will be true . However, I've searched a lot to find whether the management of kernel-level thread is all through system call but find nothing. And I always have an instinct that such management should be done by the OS

progressbar finishes before set maximum amount

会有一股神秘感。 提交于 2020-04-18 03:11:09
问题 I am trying to display downloaded images in tkinter Progressbar , It is working but the progressbar finishes way before the all images are downloaded. I asked a very similar question tkinter updating progress bar on thread progress, My idea is to update progressbar depending on how many files were created using len(os.listdir('.')) to count. import tkinter from tkinter.ttk import Progressbar import os,uuid,requests,threading import numpy as np def bar(): temp = 0 for lst in chunks: threads

progressbar finishes before set maximum amount

随声附和 提交于 2020-04-18 03:09:12
问题 I am trying to display downloaded images in tkinter Progressbar , It is working but the progressbar finishes way before the all images are downloaded. I asked a very similar question tkinter updating progress bar on thread progress, My idea is to update progressbar depending on how many files were created using len(os.listdir('.')) to count. import tkinter from tkinter.ttk import Progressbar import os,uuid,requests,threading import numpy as np def bar(): temp = 0 for lst in chunks: threads

Fill Dataset Async

六月ゝ 毕业季﹏ 提交于 2020-04-17 23:41:30
问题 Below method is getting used to fill Dataset. if we are calling this method in synchronous way it is working fine. But now we need to call this method in Asynchronous way.so what changes i need to do so that below method should work properly without any issue. public DataSet Filldata(string ProcName, string TableName) { DataSet ds = new DataSet(); try { da = new SqlDataAdapter(ProcName, con); if (con.State != ConnectionState.Open) { con.Open(); } da.SelectCommand.CommandTimeout = 15000; da