multithreading

问题 I'm currently working on a .NET Standard 2.1 Blazor WebAssembly hosted application. My application structure looks like this: BlazorApp.Client (error occures here) BlazorApp.Server I use Serilog with the Elasticsearch sink in my BlazorApp.Client project. It works fine, but when I enable Selflog on Serilog and debug, I get the following error in my browser console: SelfLog.Enable(msg => Debug.WriteLine(msg)); Elasticsearch.Net.UnexpectedElasticsearchClientException: Cannot wait on monitors on

问题 I'm currently working on a .NET Standard 2.1 Blazor WebAssembly hosted application. My application structure looks like this: BlazorApp.Client (error occures here) BlazorApp.Server I use Serilog with the Elasticsearch sink in my BlazorApp.Client project. It works fine, but when I enable Selflog on Serilog and debug, I get the following error in my browser console: SelfLog.Enable(msg => Debug.WriteLine(msg)); Elasticsearch.Net.UnexpectedElasticsearchClientException: Cannot wait on monitors on

问题 So this code below does half the job I'm looking for, but I would like to implement a second text file along with the first one that basically does the same for another variable. So the first thread will read the first line of text file 1 and also the first line of text file 2, then the second thread will read the second line of text file 1 and the second line of text file 2. Sounds confusing, buts its not. Thanks in advance!! import threading import time def test_logic(file, file2): # **

问题 So this code below does half the job I'm looking for, but I would like to implement a second text file along with the first one that basically does the same for another variable. So the first thread will read the first line of text file 1 and also the first line of text file 2, then the second thread will read the second line of text file 1 and the second line of text file 2. Sounds confusing, buts its not. Thanks in advance!! import threading import time def test_logic(file, file2): # **

问题 I know that each thread usually have one call stack, which is just a chunk of memory and controlled by using esp and ebp. 1, how are these call stacks created and who's responsible for doing this? My guess is the runtime, for example Swift runtime for iOS application. And is it the thread directly talks to its own call stack by esp and ebp or through runtime? 2, for each call stack, they have to work with the esp and ebb cpu registers, if I have a CPU with 2 cores 4 threads, then let's say it

问题 So I am new to connection pooling. I am trying to determine how to use a pool in order to speed up my query. I have a query that works, but I dont think I am using the pool correct. Here is the syntax, if you see anywhere I could be more efficient please let me know. try: db=mysql.connector.connect(poolname="mypool", pool_size=10, **config) cursor.execute(query1) df1=create_df(cursor) cursor.execute(query2) df2=create_df(cursor) cursor.execute(query3) df3=create_df(cursor) 回答1: Your question

问题 So I am new to connection pooling. I am trying to determine how to use a pool in order to speed up my query. I have a query that works, but I dont think I am using the pool correct. Here is the syntax, if you see anywhere I could be more efficient please let me know. try: db=mysql.connector.connect(poolname="mypool", pool_size=10, **config) cursor.execute(query1) df1=create_df(cursor) cursor.execute(query2) df2=create_df(cursor) cursor.execute(query3) df3=create_df(cursor) 回答1: Your question

问题 I want to shorten the runtime of an lengthy image processing algorithm, which is applied to multiple images by using parallel processing with openMP. The algorithm works fine with single or limited number (=2) of threads. But: The parallel processing with openMP requires lots of memory, leading to out-of-memory-exceptions, when running with the maximum number of possible threads. To resolve the issue, I replaced the "throwing of exceptions" with a "waiting for free memory" in case of low

问题 I am creating my first multithreading C#/.NET based app that will run on a Azure Service Fabric cluster. As the title says, I wish to run a variable number of concurrent parametrizable infinite-loop type of threads, that will utilize the RunAsync method. Each child thread looks something like this: public async Task childThreadCall(...argument list...) { while (true) { try { //long running code //do something useful here //sleep for an independently parameterizable period, then wake up and

问题 I have an MCU connected to the computer through a serial interface. The MCU might send data at regular intervals or very seldom depending on the type of sensor connected to it. So I want to have a python function that gets called whenever there is data incoming from the serial port instead of polling all the time. After reading a lot of similar questions (Small Example for pyserial using Threading. PySerial/Arduino, PySerial/interrupt mode, Python Serial listener, and so on), I came to the