pool

问题 I have own connection pool: public final class ConnectionPool { private static final Logger log = Logger.getLogger(ConnectionPool.class); private static final int DEFAULT_POOL_SIZE = 10; //single instance private static ConnectionPool instance; //queue of free connections private BlockingQueue<Connection> connectionQueue; public ConnectionPool(String driver, String url, String user, String password, int poolSize) throws ClassNotFoundException, DAOException{ try{ Class.forName(driver);

问题 How can I implement non-daemonic processes with pathos in python3 instead of with the multiprocessing module? To be more specific, I am referring to: Python Process Pool non-daemonic? The answer to this post implements non-daemonic processes via the multiprocessing module. Unfortunately, this module does not allow to pickle lambda functions among other objects, but pathos does in Python 2: #import multiprocessing #import multiprocessing.pool import pathos #class NoDaemonProcess

问题 In my project , i need to call some other app SOAP url to get connection , on top of that connection obj, i need to pass various request to get response. This response i need to parse to get actual results data. There is an API called Retrival class object when holds the connection. Need to use the same for connection i.e. pass requests and get response object. So I can declase it as prototype scope to get these Retrival objects. But I am using Akka Actors which fetch different data using

问题 In my project i use spring-boot I have code like this class ConfigurationUtils { @Bean(name="retriver") @Scope("prototype") public Retriver retriver() { Retriver dr = null; try { dr = new Retriver(config.getUserName(), config.getPassword(), config.getUrl()); } catch (Exception e) { logger.error("Exepction in creating SOAP datasource connection"); } return dr; } @Bean public CommonsPool2TargetSource getRetriverPooledTargetSource() { final CommonsPool2TargetSource commonsPoolTargetSource = new

问题 I wanted to run my program on all the cores that I have. Here is the code below which I used in my program(which is a part of my full program. somehow, managed to write the working flow). def ssmake(data): sslist=[] for cols in data.columns: sslist.append(cols) return sslist def scorecal(slisted): subspaceScoresList=[] if __name__ == '__main__': pool = mp.Pool(4) feature,FinalsubSpaceScore = pool.map(performDBScan, ssList) subspaceScoresList.append([feature, FinalsubSpaceScore]) #for feature

问题 I have a code that parses quite big amount of XML files (using xml.sax library) to extract data for future machine learning. I want the parsing part to run in parallel (I have 24 cores on a server doing also some web services, so I decided to use 20 of them). After the parsing I want to merge the results. The following code should do (and is doing) exactly what I expected, but there is a problem with the parallel thing. def runParse(fname): parser = make_parser() handler = MyXMLHandler()

问题 I want to confirm if two String variable created is pointing to the same memory.The way I did it with normal class Ideone a=new Ideone(); Ideone b=a; System.out.println(a+" "+b); Output Ideone@106d69c Ideone@106d69c The output produced here is not the exact memory address but it gave hex code which are same and by which I can say that they both are pointing to same memory address or values. But in case of String String a="helloworld"; String b="hello"; String c=b+"world"; System.out.println(a

问题 I'm trying to use multiprocessing.Pool in my code but I got this exception: PicklingError: Can't pickle <type 'instancemethod'>: attribute lookup __builtin__.instancemethod failed I found this and it's preferred solution recipe my problem is that I don't know how to implement this solution in my code. my code is something like that: class G(class): def submit(self,data): cmd = self.createCommand(data) subprocess.call(cmd, shell=True) # call for a short command def main(self): self.pool =

问题 I'm trying to learn how to use multiprocessing in Python. I read about multiprocessing, and I trying to do something like this: I have the following class(partial code), which has a method to produce voronoi diagrams: class ImageData: def generate_voronoi_diagram(self, seeds): """ Generate a voronoi diagram with *seeds* seeds :param seeds: the number of seed in the voronoi diagram """ nx = [] ny = [] gs = [] for i in range(seeds): # Generate a cell position pos_x = random.randrange(self.width

问题 I would like to do both of the following things: use audit triggers on my database tables to identify which user updated what; use connection pooling to improve performance For #1, I use 'system_user' in the database trigger to identify the user making the change, but this prevent me from doing #2 which requires a generic connection string. Is there a way that I can get the best of both of these worlds? ASP.NET/SQL Server 2005 回答1: Unfortunately, no. Identifying the user just from the