connection-pooling | 易学教程

Android BLE Connection time interval

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I am developing a BLE application on Nexus 4 using Android BLE API. I have a few questions/doubts: 1) Is there a way to set/override the connection or notification interval of BLE central device. I have found that for Android, the default connection interval is fixed to 7.5ms. Is there a way to change this connection/notification delay interval settings. Source : http://processors.wiki.ti.com/index.php/Bluetooth_SensorTag?DCMP=lprf-stdroid&HQS=lprf-stdroid-pr-wiki1#Supported_Android_devices 2) On connecting to the remote device, I am facing an issue of getting disconnection after random period

Spring JDBC connection pool best practices

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I have a basic Spring JDBC application with a pretty basic configuration: <bean id="myDataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource"> <property name="driverClassName" value="oracle.jdbc.OracleDriver"/> <property name="url" value="jdbc:oracle:thin:@1.1.1.1:1521:XXX"/> <property name="username" value="username"/> <property name="password" value="password"/> </bean> <bean id="dbThing" class="com.DbThing"> <property name="dataSource" ref="myDataSource"/> </bean> I would like to introduce a connection pool, and after reading several threads on SO I am a bit confused

Why we need a connection pooling for JDBC? [closed]

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问题 What are the benefits of using a JDBC connection pooling tool like DBCP or c3p0 ? in case of a small CRUD application with one user, can we just create one connection session as a singleton ? PS : I'm building a small javafx application back-ended with tiny h2 database (5 tables). 回答1: From Jon Skeet's answer to What is the benefit of Connection and Statement Pooling?: Creating a network connection to a database server is (relatively) expensive. Likewise asking the server to prepare a SQL

Celery Worker Database Connection Pooling

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问题 I am using Celery standalone (not within Django). I am planning to have one worker task type running on multiple physical machines. The task does the following Accept an XML document. Transform it. Make multiple database reads and writes. I'm using PostgreSQL, but this would apply equally to other store types that use connections. In the past, I've used a database connection pool to avoid creating a new database connection on every request or avoid keeping the connection open too long.

Why doesn't Dapper dot net open and close the connection itself?

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Dapper implicitly expects a connection to be open when it uses it. Why doesn't it open and close it itself? Wouldn't this simply connection management? I ask because a co-worker and I have been going back and forth on the nature of what goes on behind the scenes with connection pooling, and if there is any benefit to keeping a connection open amongst multiple commands, or to open and close it for each command. Dapper now (and for quite some time) deals with this internally. It just works™ Original (outdated) answer: You aren't wrong. The reason I hadn't noticed this inconvenience is that for

How good is Oracle Universal Connection Pool (UCP)

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问题 Does anybody have experience with using Oracle UCP under real production load? Does it handle database reconnects well? Are there any multi-threading issues? Has anybody compared it with C3P0 or Apache DBCP? 回答1: I evaluated UCP 11.2.0.1 as a replacement for our legacy connection pool and I cannot recommend it : it does not fully support jdk 6 / ojdbc6.jar. For example the use of statement caching and jmx-support does not work with java 6 and throws exceptions. no internal statement cache -

how to do connection pooling in java?

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问题 I am trying to understand connection pooling in java , i am using jsp, servlet and tomcat 6 server in my application. I have written the following code in a java class dbconnection.java : I am using type 4 jdbc connection with oracle 10g EE in windows Xp OS import java.sql.Connection; import java.sql.DriverManager; import java.sql.SQLException; public class dbconnection { public Connection con = null; public Connection getConnection() throws Exception, SQLException { try { Class.forName(

Is the Session object from Python's Requests library thread safe?

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问题 Python's popular Requests library is said to be thread-safe on its home page, but no further details are given. If I call requests.session() , can I then safely pass this object to multiple threads like so: session = requests.session() for i in xrange(thread_count): threading.Thread( target=target, args=(session,), kwargs={} ) and make requests using the same connection pool in multiple threads? If so, is this the recommended approach, or should each thread be given its own connection pool?

Node js - http.request() problems with connection pooling

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问题 Consider the following simple Node.js application: var http = require('http'); http.createServer(function() { }).listen(8124); // Prevent process shutting down var requestNo = 1; var maxRequests = 2000; function requestTest() { http.request({ host: 'www.google.com', method: 'GET' }, function(res) { console.log('Completed ' + (requestNo++)); if (requestNo <= maxRequests) { requestTest(); } }).end(); } requestTest(); It makes 2000 HTTP requests to google.com, one after the other. The problem is

SQLite/C# Connection Pooling and Prepared Statement Confusion

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问题 I have been spending some time reading different best practices for databases and for SQLite specifically. While reading I found I was doing many things I shouldn't be doing and when attempting to fix these issues I became confused when thinking about some of the finer details of using SQLite with it's ADO implementation. My confusion stems specifically from prepared statements and connection pooling. While reading http://msdn.microsoft.com/en-us/library/ms971481.aspx I found that connections