77fdfbdbc0
This PR refactors the use of the term parameters to arguments to be consistent with how the component is utilized within Spring Cloud Data Flow.
43 lines
1.6 KiB
Plaintext
43 lines
1.6 KiB
Plaintext
= TaskProcessor
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Is a stream processor that will accept messages with a string payload and create a
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`TaskLaunchRequest` that it will send to the next app in the stream. The payload of the
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message that is sent will be added to the properties of the `TaskLaunchRequest` under
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the `payload` key.
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By default the processor will add the timestamp-task sample coordinates if no task is
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specified.
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NOTE: if using defaults make sure to install the timestamp-task into your local maven repo
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by executing the following build in the timestamp-task module:
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[source,shell,indent=2]
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----
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$ ./mvnw clean install
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----
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== The arguments offered by the TaskProcessor are as follows:
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* *group* establishes the group for the task maven coordinates. Default is `io.spring`.
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* *artifact* establishes the artifact for the task maven coordinates. Default is `timestamp-task`.
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* *classifiers* establishes the classifier for the task maven coordinates. Default is null.
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* *extension* establishes the extension for the task maven coordinates. Default is jar.
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* *data-source-url* sets the spring_datasource_url for the task. Default is null.
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* *data-source-driver-class-name* establishes the spring_datasource_driverClassName for the task. Default is null.
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* *data-source-user-name* establishes the spring_datasource_username for the task. Default is null.
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* *data-source-password* establishes the spring_datasource_password for the task. Default is null.
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== Requirements:
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* Java 7 or Above
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== Build:
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[source,shell,indent=2]
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----
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$ ./mvnw clean install
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----
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== Dependencies:
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The task processor requires an instance of RabbitMQ to be running.
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