Jms file

Try our new File Analyzer. It is a free tool that can identify more than 11, different kinds of files - most likely yours too! It will help you find software that can handle your specific type of file. Download File Analyzer here. Update info Upload example file. Various viewers for this file format These apps are known to open certain types of JMS files.

For an EJB acting as a client, the mapping is defined in the orion-ejb-jar. For JSPs and servlets acting as a client, the mapping is defined in the orion-web. The following example shows the mapping in the orion-ejb-jar. The following example maps the logical names for the connection factory and queue to their actual JNDI names. Specifically, the queue defined logically as " myQueue " in the application-client. After the resources have been defined and the JNDI properties configured, the client must perform the following steps to send a JMS message.

These steps summarize the procedure that Example shows in detail. Create a connection from the connection factory. If you are receiving messages for a queue, start the connection.

Providing the retrieved JMS Destination , create a sender for a queue, or a publisher for a topic. The method of sending a message to a topic is similar to that of sending a message to a queue. Instead of creating a queue, you create a topic. Instead of creating a sender, you create publishers.

The following JSP client code sends a message to a topic. The code uses logical names, which are mapped in the OC4J deployment descriptor. The numbered comments in the example correspond to the steps summarized a the beginning of this section. This section discusses the following third-party JMS providers and how they integrate with OC4J using the resource provider interface:. The context-scanning resource provider class is a generic resource provider class shipped with OCJ for use with third-party message providers.

Install and configure WebSphere MQ on your system, then verify the installation by running any examples or tools supplied by the vendor. See the documentation supplied with your software for instructions. Configure the resource provider. Use either method to add WebSphere MQ as a custom resource provider. You can use the same information to configure using Oracle Enterprise Manager 10 g. The resource provider interface furnishes support for plugging in third-party JMS implementations.

Install and configure SonicMQ on your system, then verify the installation by running any examples or tools supplied by the vendor. Use either method to add SonicMQ as a custom resource provider. Install and configure SwiftMQ on your system, then verify the installation by running any examples or tools supplied by the vendor.

See the documentation provided with your software for instructions. Use either method to add SwiftMQ as a custom resource provider. JMS behavior with Oracle Application Server — If the transaction has not completed in this time frame, then the transaction is rolled back and the message is redelivered to the Destination object.

After Oracle JMS attempts to redeliver the message the default is five attempts , the message is moved to the exception queue. The timeout is always one day and cannot be modified. You cannot set a retry limit. In addition, the global transaction-timeout attribute defined in the server. A highly available JMS server provides a guarantee that JMS requests will be serviced with no interruptions because of software or hardware failures.

One way to achieve high availability is through fail-over; if one instance of the server fails, then a combination of software, hardware, and infrastructure mechanisms causes another instance of the server to take over the servicing of requests. Clustering of stateless applications is trivial: The application is deployed on multiple servers, and user requests are routed to one of them. Users can configure their environment and use a few simple techniques when writing their applications to make them cluster-friendly.

OracleAS JMS clustering normally implies that an application deployed in this type of environment is able to load balance messages across multiple instances of OC4J. There is also a degree of high availability in this environment because the container processes can be distributed across multiple nodes. If any of the processes or nodes goes down, then the processes on an alternate node continue to service messages.

In this configuration, all factories and destinations are defined on all OC4J instances. Each OC4J instance has a separate copy of each of the destinations.

Each copy of the destinations is unique and is not replicated or synchronized across OC4J instances. Destinations can be persistent or in-memory. This configuration is ideal for high-throughput applications where requests must be load balanced across OC4J instances. No configuration changes are required for this scenario.

This configuration is a two-node cluster. Only one node is active at any time. The second node is made active if the first node fails. This configuration is the easiest to maintain and troubleshoot and should be suitable for the majority of OracleAS JMS applications, especially those where message ordering is a requirement.

This can scale to more than two Oracle Application Server instances. This type of deployment has several advantages:. High throughput is achieved because applications and the JMS server are both running inside the same JVM and no interprocess communication is necessary. There is no single point of failure. As long as one OC4J process is available, then requests can be processed. Each of these OC4J instances is running a separate application.

Within an Oracle Application Server cluster, the configuration information for each Oracle Application Server instance is identical except for the instance-specific information such as host name, port numbers, and so on. This type of architecture allows for load balancing of messages across multiple Oracle Application Server instances—as well as high availability of the JMS application, especially if Oracle Application Server instance 2 is deployed to another node to ensure against hardware failure.

The sender and receiver of each application must be deployed together on an OC4J instance. All factories and destinations are defined on all OC4J processes. Each OC4J process has a separate copy of each of the destinations. The copies of destinations are not replicated or synchronized. So, in the diagram, Application 1 is writing to a destination called myQueue1.

Assuming that message order is not a concern, messages are enqueued onto distributed queues of the same name. Given the semantics of JMS point-to-point messaging, messages must not be duplicated across multiple queues. In the preceding case, messages are sent to whatever queue the load balancing algorithm determines, and the MDBs dequeue them as they arrive. Configure both nodes identically as described in the following example. Modify the jms. Set the host parameter in the jms-server to be:. When using file-based message persistence for a queue, the file must be located on a shared disk that is accessible by both nodes.

The shared disk must fail over with the virtual IP when failing over from one node to the other. Configure the persistence-file as follows:. This OC4J instance handles all messages, thus message ordering is always maintained. All JMS applications use this dedicated server to host their connection factories and destinations, and to service their enqueue and dequeue requests.

This is achieved by limiting the JMS port range in the opmn. In the opmn. This port value is used to define the connection factory in the jms. The following XML from the opmn. In this example, the original range was from In our connection factory definitions, we know the port to use by configuring this value as By default, this value is set to 1. This value must always be 1.

All connection factories and destinations are defined in the JMS server instance's jms. This jms. The connection factories configured in the jms. These values, in particular the port number, should also use the single port number defined by OPMN for the dedicated server as discussed above. The same connection factory configuration should also be used in all other OC4J instances so that they all point to the dedicated JMS server for their operations.

Thus, if the dedicated JMS server runs on host1 , port , then all connection factories defined within the jms. The destinations configured in the jms. The following is an example for defining a queue connection factory in the jms.

Administrative changes that is, add a new Destination object should be made to the dedicated JMS server's jms. These changes should then be made in the jms. Changes can be made either by hand or by copying the dedicated JMS server's jms. The user decides where the JMS applications will actually be deployed. Remember, the jms.

If a hardware failure occurs, then the only way to recover messages is to have the persisted destinations hosted on a network file system. An OC4J instance can then be brought up and configured to point to these persisted files.

This ensures that the database is highly available. This ensures that the application servers and applications deployed on them are highly available. JMS operations invoked on objects derived from these resource providers are directed to the real application clusters RAC database. If a failure of the application occurs, then state information in the application is lost that is, state of connections, sessions, and messages not yet committed.

As the application server is restarted, the applications must re-create their JMS state appropriately and resume operations. If network failover of a back-end database occurs, where the database is a non-RAC database, then state information in the server is lost that is, state of transactions not yet committed.

Additionally, the JMS objects connection factories, Destination objects, connections, sessions, and so on inside the application may also become invalid. The application code can see exceptions if it attempts to use these objects after the failure of the database occurs. An application that uses a RAC database must handle database failover scenarios. There are two types of failover scenarios, as described in Chapter 4, "Data Sources".

The following sections demonstrate how to handle each failover scenario:. It must then reestablish the database connection if necessary. The oracleFatalError method detects if the SQL error thrown by the database during network failover is a fatal error. This method takes in the SQL error and the database connection, and returns true if the error is a fatal error.

If true , you may wish to aggressively roll back transactions and re-create the JMS state such as connections, session, and messages that were lost. In most cases where TAF is configured, the application does not notice that failover to another database instance has occurred. So, you need not do anything to recover from failure. In this case, do one or more of the following:.

If it is not a fatal error, then the client recovers by sleeping for a short time and then retrying the current operation. You can recover from failback and transient errors caused by incomplete failover by trying to use the JMS connection after a short time. Waiting allows the database failover to recover from the failure and reinstate itself.

In the case of transaction exceptions such as "Transaction must roll back" ORA or "Transaction status unknown" ORA you must roll back the current operation and retry all operations past the last commit. The connection is not usable until the cause of the exception is dealt with. If this retry fails, then close and re create all connections and retry all noncommitted operations. The following shows JMS application code for a queue that is tolerant to server-side failover. Nondurable topic subscriptions duplicate messages per active subscriber.

Clustering and load-balancing creates multiple application instances. If the application creates a nondurable subscriber, it causes the duplication of each message published to the topic. If you continue to use this site we will assume that you accept and understand our Privacy Policy , and our Terms of Service.

I Agree. Edit JMS file online. Free Online jms editor. JMS Converter. JMS Viewer. JMS Editor. Compare JMS Files. Merge JMS Files. Using JMS from. NET Introduction Many organizations build enterprise backbones on top of asynchronous messaging infrastructures. The reasons for this are manyfold: there are many competing JMS implementations providers , many of them free.

JMS offers a simple yet powerful abstraction layer for asynchronous messaging. Architecture As the image on the right shows, you have a messaging backbone to which a Java publisher and a listener are connected. The developer is writing C or VB. NET or other.

NET language code that happens to look a lot like Java code, but is otherwise blissfully unaware of the fact that there is any Java involved. The backbone is totally unaware that there is a. NET client connected to it.

As far as it is concerned, it is communicating with a Java client, which happens to be "hosted" by a CLR process. You do not need any particular JMS provider features for this to work.

This kind of integration is just about as invisible and non-intrusive as possible. Development process By the time you're looking at Codemesh products, you typically already have a JMS provider in place, be it a stand-alone implementation or one bundled with an application server. CreateQueueSession false, SessionImpl.