pool

Regarding Java String Constant Pool

由 孤街浪徒 提交于 2019-12-18 05:47:11
问题 This is regarding the Java String Constant Pool. In one of my Programs i am decrypting the password for the database and storing it in a String. I heard that the Java Strings will be stored in a Constant pool and they won't be destroyed the VM restarts or the ClassLoader that loaded the String Quits. If it is the case my passwords will be stored in the String pool. I am Very concerned about this issue. Is there any other way to destroy these literals or anything else i can do. Please suggest

What is the maximum and minimum size of connection pool ADO.Net Supports in the connection string?

由 末鹿安然 提交于 2019-12-18 03:56:38
问题 What is the maximum and minimum size of connection pool ADO.Net Supports in the connection string. Min Pool Size=[max size ?] Max Pool Size=[min size] 回答1: There is no documented limit on Max Pool Size. There is however an exact documented limit on maximum number of concurrent connections to a single SQL Server (32767 per instance, see http://msdn.microsoft.com/en-us/library/ms143432(v=SQL.90).aspx). A single ADO.NET pool can only go to a single instance, so maximum effective limit is

Python multiprocessing pool inside daemon process

由 人盡茶涼 提交于 2019-12-18 03:43:56
问题 I opened up a question for this problem and did not get a thorough enough answer to solve the issue (most likely due to a lack of rigor in explaining my issues which is what I am attempting to correct): Zombie process in python multiprocessing daemon I am trying to implement a python daemon that uses a pool of workers to executes commands using Popen . I have borrowed the basic daemon from http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/ I have only changed the init

GenericObjectPool参数解析

由 孤街浪徒 提交于 2019-12-17 20:28:43
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 序 本文主要解析一下apache common pools下的GenericObjectPool的参数设置 GenericObjectPool commons-pool2-2.4.2-sources.jar!/org/apache/commons/pool2/impl/GenericObjectPool.java public class GenericObjectPool<T> extends BaseGenericObjectPool<T> implements ObjectPool<T>, GenericObjectPoolMXBean, UsageTracking<T> { //...... } 默认配置见 commons-pool2-2.4.2-sources.jar!/org/apache/commons/pool2/impl/GenericObjectPoolConfig.java public class GenericObjectPoolConfig extends BaseObjectPoolConfig { /** * The default value for the {@code maxTotal} configuration attribute. * @see

Can't pickle static method - Multiprocessing - Python

由 喜欢而已 提交于 2019-12-17 19:28:42
问题 I'm applying some parallelization to my code, in which I use classes. I knew that is not possible to pick a class method without any other approach different of what Python provides. I found a solution here. In my code, I have to parts that should be parallelized, both using class. Here, I'm posting a very simple code just representing the structure of mine (is the same, but I deleted the methods content, which was a lot of math calculus, insignificant for the output that I'm getting). The

Memory usage keep growing with Python's multiprocessing.pool

由 最后都变了- 提交于 2019-12-17 17:30:45
问题 Here's the program: #!/usr/bin/python import multiprocessing def dummy_func(r): pass def worker(): pass if __name__ == '__main__': pool = multiprocessing.Pool(processes=16) for index in range(0,100000): pool.apply_async(worker, callback=dummy_func) # clean up pool.close() pool.join() I found memory usage (both VIRT and RES) kept growing up till close()/join(), is there any solution to get rid of this? I tried maxtasksperchild with 2.7 but it didn't help either. I have a more complicated

Python: Writing to a single file with queue while using multiprocessing Pool

由 五迷三道 提交于 2019-12-17 15:31:05
问题 I have hundreds of thousands of text files that I want to parse in various ways. I want to save the output to a single file without synchronization problems. I have been using multiprocessing pool to do this to save time, but I can't figure out how to combine Pool and Queue. The following code will save the infile name as well as the maximum number of consecutive "x"s in the file. However, I want all processes to save results to the same file, and not to different files as in my example. Any

Multiprocessing.Pool makes Numpy matrix multiplication slower

由 血红的双手。 提交于 2019-12-17 06:13:46
问题 So, I am playing around with multiprocessing.Pool and Numpy , but it seems I missed some important point. Why is the pool version much slower? I looked at htop and I can see several processes be created, but they all share one of the CPUs adding up to ~100%. $ cat test_multi.py import numpy as np from timeit import timeit from multiprocessing import Pool def mmul(matrix): for i in range(100): matrix = matrix * matrix return matrix if __name__ == '__main__': matrices = [] for i in range(4):

How do you pass a Queue reference to a function managed by pool.map_async()?

由 爱⌒轻易说出口 提交于 2019-12-17 06:11:33
问题 I want a long-running process to return its progress over a Queue (or something similar) which I will feed to a progress bar dialog. I also need the result when the process is completed. A test example here fails with a RuntimeError: Queue objects should only be shared between processes through inheritance . import multiprocessing, time def task(args): count = args[0] queue = args[1] for i in xrange(count): queue.put("%d mississippi" % i) return "Done" def main(): q = multiprocessing.Queue()

Filling a queue and managing multiprocessing in python

由 血红的双手。 提交于 2019-12-17 06:09:49
问题 I'm having this problem in python: I have a queue of URLs that I need to check from time to time if the queue is filled up, I need to process each item in the queue Each item in the queue must be processed by a single process (multiprocessing) So far I managed to achieve this "manually" like this: while 1: self.updateQueue() while not self.mainUrlQueue.empty(): domain = self.mainUrlQueue.get() # if we didn't launched any process yet, we need to do so if len(self.jobs) < maxprocess: self
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