connection-pooling

I am working on a project in which I need to make a HTTP URL call to my server which is running Restful Service which returns back the response as a JSON String. Below is my main code which is using the future and callables - public class TimeoutThreadExample { private ExecutorService executor = Executors.newFixedThreadPool(10); public String getData() { Future<String> future = executor.submit(new Task()); String response = null; try { response = future.get(100, TimeUnit.MILLISECONDS); } catch (TimeoutException e) { e.printStackTrace(); } catch (InterruptedException e) { e.printStackTrace(); }

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). 0x6C38 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 statement is (relatively) expensive. Using a connection/statement pool, you can reuse existing

When creating JNDI JDBC connection pools in an application server, I always specified the type as javax.sql.ConnectionPoolDataSource . I never really gave it too much thought as it always seemed natural to prefer pooled connections over non-pooled. However, in looking at some examples ( specifically for Tomcat ) I noticed that they specify javax.sql.DataSource . Further, it seems there are settings for maxIdle and maxWait giving the impression that these connections are pooled as well. Glassfish also allows these parameters regardless of the type of data source selected. Are javax.sql

I am developing a Java EE web application in Eclipse Juno. I have configured Tomcat to use JDBC connection pool (org.apache.tomcat.jdbc.pool) along with PostgreSQL database. Here are the configurations in my project's META-INF/context.xml: <?xml version="1.0" encoding="UTF-8"?> <Context> <!-- Configuration for the Tomcat JDBC Connection Pool --> <Resource name="jdbc/someDB" type="javax.sql.DataSource" auth="Container" factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" driverClassName="org.postgresql.Driver" url="jdbc:postgresql://localhost:5432/somedb" username="postgres" password="12345"

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. However, since each Celery worker runs in a separate process, I'm not sure how they would actually be able to

I can't seem to get hibernate to use c3p0 for connection pooling, it says 12:30:35,038 INFO DriverManagerConnectionProvider:64 - Using Hibernate built-in connection pool (not for production use!) 12:30:35,038 INFO DriverManagerConnectionProvider:65 - Hibernate connection pool size: 20 Hibernate Config: <hibernate-configuration> <session-factory> <property name="hibernate.connection.driver_class">com.mysql.jdbc.Driver</property> <property name="hibernate.connection.url">jdbc:mysql://localhost:3306/xxx?autoReconnect=true</property> <property name="hibernate.connection.username">root</property>

My problem is as follows. I need a class that works as a single point to a database connection in a web system, so to avoid having one user with two open connections. I need it to be as optimal as possible and it should manage every transaction in the system. In other words only that class should be able to instantiate DAOs. And to make it better, it should also use connection pooling! What should I do? Carlos Vergara You will need to implement a DAO Manager . I took the main idea from this website , however I made my own implementation that solves some few issues. Step 1: Connection pooling