Developing and running applications that use the RabbitMQ Toolkit

To create applications that use the RabbitMQ Toolkit, you must configure the SPL compiler to be aware of the location of the toolkit.

use com.teracloud.streams.objectstorage::ObjectStorageSink

Before you begin

Configure the product environment variables by entering the following command: 

source product-installation-root-directory/7.2.0.0/bin/streamsprofile.sh

About this task

When developing applications, you can fully qualify the operators by prefixing the namespace or include a use directive to bring the necessary namespace(s) into scope.

When compiling the application, the location of the toolkit must be communicated to the compiler.

Procedure

  1. Develop your application. To avoid the need to fully qualify the operators, add a use directive in your application.
    • For example, you can add the following clause in your SPL source file: 
      
use com.teracloud.streams.rabbitmq::*;
      You can also specify a use clause for individual operators by replacing the asterisk (*) with the operator name. For example: 
      
use com.teracloud.streams.rabbitmq::RabbitMQSink;
  2. Configure the SPL compiler to find the toolkit root directory. Use one of the following methods:
    • Set the STREAMS_SPLPATH environment variable to the root directory of a toolkit or multiple toolkits (with : as a separator). For example: 
      
export STREAMS_SPLPATH=$STREAMS_INSTALL/toolkits/com.teracloud.streams.cep
    • Specify the -t or --spl-path command parameter when you run the sc command. For example: 
      
sc -t $STREAMS_INSTALL/toolkits/com.teracloud.streams.cep -M MyMain
      where MyMain is the name of the SPL main composite.

      Note: These command parameters override the STREAMS_SPLPATH environment variable.

  3. Build your application using the sc command.
  4. Run the application.
    • You can launch the application in stand-alone mode using the standalone program located in the output directory.
    • You can submit the application in a distributed environment, as a job, to a running Streams instance using the streamtool submitjob command or Streams Console.