Message Queues support
Message queues are software-engineering components used for inter-process communication, or for inter-thread communication within the same process. They use a queue for messaging. A producer posts messages to a queue. At the appointed time, the receivers are started up and process the messages in the queue. A queued message can be stored and forwarded, and the message can be redelivered until the message is processed. Message queues enable asynchronous processing, which allows messages to be queued without the need to process them immediately.
Message Queues currently handled by the Python analyzer
Apache ActiveMQ is an open source message broker written in Java together with a full Java Message Service (JMS) client. The goal of ActiveMQ is to provide standards-based, message-oriented application integration across as many languages and platforms as possible. ActiveMQ acts as the middleman allowing heterogeneous integration and interaction in an asynchronous manner.
IBM MQ is a family of network message-oriented middle ware products that IBM launched. It was originally called MQSeries (for "Message Queue"), and was renamed WebSphere MQ to join the suite of WebSphere products. IBM MQ allows independent and potentially non-concurrent applications on a distributed system to securely communicate with each other. IBM MQ is available on a large number of platforms (both IBM and non-IBM), including z/OS (mainframe), OS/400 (IBM System i or AS/400), Transaction Processing Facility, UNIX, Linux, and Microsoft Windows.
RabbitMQ is an open source message-queueing software called a message broker or queue manager RabbitMQ implements AMQP. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.
Message queue applications using the below mentioned frameworks/clients are handled:
Library interface with STOMP protocol for ActiveMQ
- Pika client with AMQP protocol for RabbitMQ
- MQ-Light client with TCP/IP for IBM MQ
- Pymqi python extension for IBM MQ
CAST Enlighten screenshots
When a message queue application is analyzed by the Python analyzer, the following transactions can be found at the end of analysis:
Example of ActiveMQ Producer
Example of ActiveMQ Consumer
CAST Enlighten screenshot of ActiveMQ Transaction
Example of RabbitMQ Producer
Example of RabbitMQ Consumer
CAST Enlighten screenshot of RabbitMQ Transaction