connection-pooling | 易学教程

What is the benefit of Connection and Statement Pooling?

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Can someone explain what is Connection and Statement Pooling and what is the benefit over unpooled DataSources? I am trying to understand when it is a good idea to use a technology like c3p0 or proxool in a project. I need first to understand what they do and when it interesting to use them. Thank you very much. The Happy Connection It's so easy to create a new connection every time. One line: that's all it takes. Nothing much to think about. Great life. Hold on. Do you eat on a plate? Do you throw away your plate after each use? No, you wash it and put it on the dish rack, so you can use it

WebApp (Tomcat-jdbc) Pooled DB connection throwing abandon exception

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I have been browsing SO for some time, and chewing my hat in the process, but cannot find an exact match to my problem. For short, I am getting superb stack trace (org.apache.tomcat.jdbc.pool.ConnectionPool abandon) after 60 seconds of inactivity, which is a normal behavior for a couple of server side threads. I am using Tomcat JDBC Connection Pooling (org.apache.tomcat.jdbc.pool.DataSource) directly Stack Trace: Oct 29, 2012 8:55:50 PM org.apache.tomcat.jdbc.pool.ConnectionPool abandon WARNING: Connection has been abandoned PooledConnection[com.mysql.jdbc.JDBC4Connection@1ad2916]:java.lang

best practice of django + PyMongo pooling?

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问题 I have a db = pymongo.Connection() call in Django's views.py for a simple MongoDB connection to store some simple statistics. What's the best practice to make it auto support MongoDB connection pooling? Where do I need to put the end_request() code? How do I choose the max_pool_size parameter during connection? 回答1: How does connection pooling work in PyMongo? Every Connection instance has built-in connection pooling. By default, each thread gets its own socket reserved on its first operation

Basic DB connection pool with Java and Tomcat 7

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问题 I'm trying to create my first connection pool. I'm creating a Java web aplication with Tomcat 7 and a MySQL DB, and I'd like to create the simplest connection pool possible. I've taken a look at several tutorials but it's not really clear for me, so I'd like you to confirm if I'm doing well. I've written the following class as a connection pool manager: package dao.mysql; import java.sql.Connection; import java.sql.SQLException; import org.apache.tomcat.jdbc.pool.DataSource; import org.apache

HikariCP: What database level timeouts should be considered to set maxLifetime for Oracle 11g

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In the documentation for HikariCP, it is mentioned that We strongly recommend setting this value, and it should be at least 30 seconds less than any database-level connection timeout. What are those database-level connection timeouts that should be taken into account for Oracle11.2 database? And how could I find those timeouts (queries to execute)? Short answer: none (by default). For the record (to include details here in case the link changes), we're talking about property maxLifetime of HikariCP : This property controls the maximum lifetime of a connection in the pool. An in-use connection

Is HTTP connection pooling possible?

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问题 For a C# webservice that contacts a limited set of other servers, I wish to create 1 HTTP connection pool per server that I want to be able to contact. The basic concept of course: Each pool should open a few connections (3 connections?) to its remote webserver, and keep those connections alive. A max-time-to-life should be used to recycle (disconnect/reconnect) the connections to the remote webserver, preventing the remote web server to disconnect before we do. The connections should not be

http request with timeout, maximum size and connection pooling

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问题 I'm looking for a way in Python (2.7) to do HTTP requests with 3 requirements: timeout (for reliability) content maximum size (for security) connection pooling (for performance) I've checked quite every python HTTP librairies, but none of them meet my requirements. For instance: urllib2: good, but no pooling import urllib2 import json r = urllib2.urlopen('https://github.com/timeline.json', timeout=5) content = r.read(100+1) if len(content) > 100: print 'too large' r.close() else: print json

Node.js Redis Connection Pooling

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问题 When using node_redis Node.js module with Redis, should I just use one connection as Redis is single thread process or shall I create a pool of connections to improve performance? 回答1: Just use a single connection. Both Node and Redis are effectively single thread. I don't think you'll gain anything by having multiple connections. I asked a similar question before starting to develop with Redis and it seems that one client/one application is pretty effective pattern. 回答2: There is a use case

java - DataSource for standalone application - no application server

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I want to connect to a MySQL database from a standalone application. There is no application/web server. This page suggests that I should use DriverManager to create the connection. However this page suggests that connections created from DriverManager cannot be pooled. However connection pooling is a must for me because the application uses various threads to write to the database concurrently, so closing/recreating connections is not optimal. Which DataSource implementation should I use for this purpose? I looked at MysqlConnectionPoolDataSource but I am not sure if it actually implements a

Initialcontext in a standalone Java program

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问题 I'm using a JNDI for creating tomcat connection pool. It works great in a web application. I believe the InitialContext is provided by the tomcat server. Context initContext = new InitialContext(); Context envContext = (Context)initContext.lookup("java:/comp/env"); dataSource = (DataSource)envContext.lookup("jdbc/testdb"); But when I try to call the same utility from a standalone Java program, the initContext object is null. How can I explicitly provide all the necessary properties that