connection-pooling

Most widely used options in database.yml are of following : adapter encoding database pool username password socket host port timeout I know the use of the most of the above but pool. So i want to know what is the use of the pool option in database.yml or there is any other parameter which we need to set for the application having very heavy traffic. It sets the amount of possible connections per ruby process. So in case you are threading your rails app, or you use transactions excessively. The limits here depend on your setup. Consider this: 50 ruby processes each with 100 threads a mysql

I work on manage.py command which creates about 200 threads to check remote hosts. My database setup allows me to use 120 connections, so I need to use some kind of pooling. I've tried using separated thread, like this class Pool(Thread): def __init__(self): Thread.__init__(self) self.semaphore = threading.BoundedSemaphore(10) def give(self, trackers): self.semaphore.acquire() data = ... some ORM (not lazy, query triggered here) ... self.semaphore.release() return data I pass instance of this object to every check-thread but still getting "OperationalError: FATAL: sorry, too many clients

After getting fed up with c3p0's constant locking I'm turning to BoneCP for an alternative connection pool for my database. I have a server app that processes around 7,000 items per minute and needs to log those items into our MySQL database. I currently have 100 worker threads and have set up my pool like such: BoneCPConfig config = new BoneCPConfig(); config.setJdbcUrl("jdbc:mysql://"+Settings.MYSQL_HOSTNAME+"/"+Settings.MYSQL_DATABASE+"?autoReconnectForPools=true" ); config.setUsername(Settings.MYSQL_USERNAME); config.setPassword(Settings.MYSQL_PASSWORD); config

Just wondering if RestTemplate out of the box uses connection pooling or does it simply establish a new connection each time ? I believe RestTemplate doesn’t use a connection pool to send requests, it uses a SimpleClientHttpRequestFactory that wraps a standard JDK ’s HttpURLConnection opening and closing the connection. Indeed you can configure RestTemplate to use a pooled implementation such as HttpComponentsClientHttpRequestFactory but most-likely you might also need to configure some settings to prevent requests from timing out. I have blogged about this issue at Troubleshooting Spring's

I'm in charge of developing and maintaining a group of Web Applications that are centered around similar data. The architecture I decided on at the time was that each application would have their own database and web-root application. Each application maintains a connection pool to its own database and a central database for shared data (logins, etc.) A co-worker has been positing that this strategy will not scale because having so many different connection pools will not be scalable and that we should refactor the database so that all of the different applications use a single central

What is the difference between org.apache.commons.dbcp BasicDatasource and PoolingDataSoure? Do both support pooling of connections? When to use each of them ? helios BasicDataSource is, as the javadoc says, a one-stop shopping for basic needs. It has all the necessary. It creates internally a PoolableDataSource and an ObjectPool. PoolingDataSource implements the DataSource interface using a provided ObjectPool. PoolingDatasource take cares of whatever has to do with connections (casting, checking validity, setting properties, etc) and ObjectPool take cares of holding and counting this

please tell me. How can I configure the "Hikari connection pooling + Hibernate 4.3.8 + Spring Data JPA configuration"? Here is my configuration, but for some reason I am sure that this configuration is not correct. Because the the console does not appear anything like the "connetction pooling". On the Internet I can not find the tutorial for the beginner. Thanks. <bean id="entityManagerFactory" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean" p:dataSource-ref="dataSource" p:packagesToScan="com.history" p:jpaVendorAdapter-ref="jpaVendorAdapter"> <property name=

I want to have some kind of failsafe in place for my Android social-network-style app so that when a lot of users are connected through it to my Postgresql database, it continues to function and to handle a large number of concurrent connections. I don't know how many users to expect at max. load but about 70 users at any given time would be nice. What would be the best way to achieve this through code/infrastructure? I already plan to use a small web service to handle the database connections, but I'm not sure how I would handle the connection pooling in any platform I end up using, whether