Where is mq used

Oracle applications connect to an Oracle database. Oracle applications do not connect directly to the gateway, but connect indirectly through an Oracle database. The Oracle database communicates with a gateway in the normal Oracle server-to-server manner using Oracle Net. The gateway is a single process and does not start background processes.

On UNIX platforms, a gateway process is started for each user session. Oracle Net provides client to server and server-to-gateway communication. It enables an Oracle application to communicate with the Oracle database, and it enables the Oracle database to communicate with the gateway.

If the Oracle database is not on the same system as the gateway, then you must install the correct Oracle networking software on the platform where the Oracle database is installed. The database link is the construct used to identify Oracle databases. The WebSphere MQ server might, or might not, be on the same system as the gateway. The gateway has some of the same components as an Oracle database. The following components are included:. An initialization file similar to the Oracle database initialization parameter file.

The gateway does not have control, redo, or database files, nor does it have the full set of subdirectories and other files associated with an Oracle database. The gateway is not started in the same way as the Oracle database. It has no background processes and does not require a management utility such as Oracle Enterprise Manager. Each Oracle database user session that accesses a gateway creates an independent process on the host system that runs the gateway. It contains the following sections: Introduction to Message Queuing Introduction to WebSphere MQ Introduction to the Gateway Introduction to Message Queuing Message queuing enables distributed applications to communicate asynchronously by sending messages between the applications.

Term Description Message queues Storage areas for messages exchanged between applications. WebSphere MQ client configuratio n A WebSphere MQ configuration where the queue manager and message queues are located on a different remote system or node than the application software. Client applications connect to the remote queue manager using IBM software that provides the necessary networking software to connect to the remote queue manager.

WebSphere MQ server configuration A WebSphere MQ configuration where the queue manager and message queues are located on the same local system or node as the application software. Client applications connect to the local queue manager using MQI. Queue manager A WebSphere MQ feature that provides the message queuing facilities that applications use.

It manages the queue definitions, configuration tables, and message queues. The queue manager also forwards messages from the sender queue to the remote recipient queues. Trigg ers A WebSphere MQ feature that enables an application to be started automatically when a message event, such as the arrival of a message, occurs. Triggers can be used to invoke programs or transactions.

For example, a trigger could cause an Oracle application to call the gateway to retrieve a WebSphere MQ message and process it. Gateway Terms The following table describes gateway terms used in this guide. Term Description Gateway initialization file A file containing parameters that determine the running of the gateway.

Gateway remote procedures Remote procedures implemented by the gateway. These procedures are used to invoke WebSphere MQ operations. Oracle database Any Oracle database that communicates with the gateway. These links are connected to a simulator, for example, when MQ is related to some application or the scanner.

It's a synchronized communication where we first check two-step authentication. So first, we start with the authentication. In the second step, the MQ server provides the connection.

Then the system decides if it can make the connection or not. For example, if I'm uploading something, it will check one cluster, not the other five. So next time, I'm just checking to see if we can connect. After that, the other side is also checking.

Those clusters are physical connectivity clusters. We are sending everything. The partner and we create an acknowledgment number and check to see if everything is fine or not. Once everything checks out and we have verified the person with our partner, we establish the connection, sending a message.

Then we are also checking the permissions and format. Sometimes there are some errors, so we have to check the login acknowledgment number and figure out what the error code means. We are handling everything for the project, from the code and deployment to support. We are handling everything through an RFP repository. So from there, we are handling every version released in the last two years.

Every year, we upgrade according to the guidelines. IBM MQ is one of the biggest message exchanges in our company. We have two different use cases for this solution. We use it for the interactive interconnectivity between clients into the cloud and applications communicating within our enterprise software. We have various strips statements, and we use IBM MQ to pass those strips statements to different systems within our organization.

The solution is primarily used for business transactions. It's used for financial transactions as well. Those are the two main use cases. We exchange information with our in-house applications before we supply information to our customers and so on. We are using the solution for taking messages off the mainframe and distributing them down to a large, high-performance computing environment supporting over 4, servers.

We are also it for distributed queuing and clustering. Windows services read and write to the MQ server - this is the way that we interact with it. All the messages that we put on the queue are also stored in an SQL Databases. A Windows service reads that message from the SQL Database storage and puts it on a queue on a certain channel; these Windows services are running indefinitely, on a loop so any message is read instantly.

It's the EAI for connecting all our services like transport systems, replenishment systems, and order entry systems to our supply chain warehouse systems. We are currently working on the use case. We have a lot of other servers and appliances for IBM MQ that costs us a lot of money so we are currently looking for less expensive alternatives. Kafka is one of the choices on the table.

We are looking to migrate to services on Google which is why Kafka was proposed for us to implement. We use it to integrate the backend and front end solutions and applications. Our use cases include ATM transactions where a customer, for example, inquires about balances. Transactions go from an ATM at a branch, using a Java application to take the information, and it connects into our mainframe, gets the balances, and goes back. All the explanations so far are accurate and to the point - but might be missing something: one of the main benefits of message queueing: resilience.

Imagine this: you need to communicate with two or three other systems. A common approach these days will be web services which is fine if you need an answers right away. However: web services can be down and not available - what do you do then?

So in many cases, using message queues to connect disparate systems is a more reliable, more robust way of sending messages back and forth. It doesn't work well for everything if you want to know the current stock price for MSFT, putting that request into a queue might not be the best of ideas - but in lots of cases, like putting an order into your supplier's message queue, it works really well and can help ease some of the reliability issues with other technologies.

It's an abstraction layer that allows multiple processes likely on different machines to communicate via various models e. Depending on the implementation, it can be configured for things like guaranteed reliability, error reporting, security, discovery, performance, etc. For example: Suppose you want to processes to communicate, but one of them can die in the middle and later get reconnected.

How would you ensure that interim messages were not lost? MQ solutions can do that for you. Message queueuing systems are supposed to give you several bonuses. Among most important ones are monitoring and transactional behavior.

Transactional design is important if you want to be immune to failures, such as power failure. Imagine that you want to notify a bank system of ATM money withdrawal, and it has to be done exactly once per request, no matter what servers failed temporarily in the middle.

MQ systems would allow you to coordinate transactions across multiple database, MQ and other systems. Needless to say, such systems are very slow compared to named pipes, TCP or other non-transactional tools. If high performance is required, you would not allow your messages to be written thru disk. Instead, it will complicate your design - to achieve exotic reliable AND fast communication, which pushes the designer into really non-trivial tricks.

The Message Queue receives the message, places it in the proper queue, and waits for the application to retrieve the message when ready. As an extension to that; what if your local network and your local pc is down as well?? While you wait for the system to recover the dependent deployed systems elsewhere waiting for that data needs to see an alternative data stream.

Otherwise, that might not be good enough 'real time' response for today's and very soon in the future Internet of Things IOT requirements.