spring data cassandra example

this with a few changes in the spring framework? Are there any design patterns that can be used? analysis of the problem I first thought of configuring all the DataSource in spring's applicationcontext.These datasource may be of different types, such as different databases: Oracle, SQL Server, MySQL, and possibly different data sources: Apache, for example. Prov

Following the previous article http://www.cnblogs.com/EasonJim/p/7804545.html using spring Data Redis to operate Redis is a standalone version, if the integration of the cluster version is actually not very different. The main ideas are as follows:1, first establish a connection factory, this connection factory is used to set IP, port, account password and so on. (At this step, pass a list of addresses for

Detailed description of Spring mvc implementation Restful returned xml format data instance, mvcrestful Spring mvc implements Restful to return xml format data Recently, I want to build a Restful service interface api in my own small project. spring mvc 3 is used in the proj

dynamic sortingUsing named parameters, you can use @param, for example:@Query (value= "Select O from Usermodel o where o.name like%:nn")Public listAlso support for updating the query statement of the class, add @modifying can, for example:@Modifying@Query (value= "Update Usermodel o set o.name=:newname where o.name like%:nn")public int Findbyuuidorage (@Param ("nn") string name, @Param ("NewName") string n

multi-threaded execution of a. The Parallel step executes multiple passes in parallel with multithreading; Remote chunking performs distributed chunk operation on the remote node; Partitioning step to partition the data and execute it separately; Let's take a look at the first implementation multithreaded step: The batch framework uses a single thread to perform tasks by default at job execution, while the framework provides thread pool support (mult

databasesBecause of the distributed development pattern used in daily projects, different services have different data sources, often need to use multiple data sources in one project, so it is necessary to configure the use of sping data JPA for multiple data sources, which is generally divided into three steps:

Transaction is to ensure the atomicity, consistency, isolation, and permanence of logical processing.With transaction control, you can avoid a series of problems, such as dirty data, caused by the failure of logical processing.Transactions have two important features: The propagation behavior of a transaction Data isolation Level 1. Transaction propagation behavior (Transaction Behavior)

obtained. The default value is false. Reference properties by reading the configuration file: Class = "org. springframework. Beans. Factory. config. propertyplaceholderconfigurer">Bean>Destroy-method = "close">Bean> Define the property value in the JDBC. properties property file:JDBC. driverclassname = com. MySQL. JDBC. DriverJDBC. url = JDBC: mysql: // localhost: 3309/sampledbJDBC. Username = rootJDBC. Password = 1234It is often prompted that developers may accidentally enter spaces before and

Spring MVC Global Exception Returns JSON exception data problem:The current project is a background support for mobile apps, developed using spring MVC + mybaits + Shiro. The backend service interacts with the phone to send JSON data. If an exception occurs in the background, it will directly return to the exception pa

Batch import data to Elasticsearch Based on Spring Batch, batchelasticsearch 1. Introduction When the system imports a large amount of data from the database to Elasticsearch, using Spring Batch can improve the import efficiency. Spring Batch uses ItemReader to read

Preface Spring Data Redis Project,the spring concept was applied to develop a solution for data storage using key-value forms。 We (officially) provide a "Template", this is a high-level abstraction to send and receive messages. You're going to notice it.support for JDBC with the sp